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[center][img][Hidden Content]] [center][b]Implementing SSRS Report Layouts | Pluralsight [Update 11/2024][/b] English | Size: 175 MB Genre: eLearning[/center] Do you want to create intelligently designed reports? Well, this course is for you! Take your report design skills to the next level by learning the details of report layouts in SSRS. [b]What you'll learn[/b] Intelligent reports are a requirement in today's data-driven world. Maybe you have worked with report layouts but left with more questions than answers. In this course, Implementing SSRS Report Layouts, you'll learn to design professional report layouts. First, you'll explore the essential components which make up a report, including headers and footers. Stylish headers can make your report shine. Next, you'll discover built-in collections, including report and group variables. Along the way, discover how report parts can be a game-changer for your organization. Finally, you'll learn how to deliver reports to your end-users in several different formats. When you're finished with this course, you'll have the skills and knowledge of report layout design needed to deliver insightful viewpoints into your company's data. [center][img][Hidden Content]] [b]DOWNLOAD FROM RAPIDGATOR[/b] [Hidden Content] [b]DOWNLOAD FROM TURBOBIT[/b] [Hidden Content] [b]DOWNLOAD FROM NITROFLARE[/b] [Hidden Content] [b]If any links die or problem unrar, send request to[/b] [hide][Hidden Content]]

[center][img][Hidden Content]] [center][b]Java Certification Prep: OCA (1Z0-808) & OCP (1Z0-829, 1Z0-830) | Udemy[Update 12/2024][/b] English | Size: 1.53 GB Genre: eLearning[/center] Everything you need to know to pass Oracle exams (808, 829, 830) and become fully certified Java Programmer/Developer. [b]What you'll learn[/b] Acquire a solid understanding of Java programming language and Object-oriented programing (OOP) Full theoretical preparation to pass Oracle Certified Associate (OCA), Java SE 8 Programmer exam (1Z0-808) Full theoretical preparation to pass Oracle Certified Professional (OCP): Java SE 17 Developer exam (1Z0-829) Full theoretical preparation to pass Oracle Certified Professional (OCP): Java SE 21 Developer exam (1Z0-830) All presentation materials availible for download as PDF files This course is designed to give you full theoretical preparation to get you certified in Java. In one single course you will find all you need in order to pass Oracle exams and get following certifications: Oracle Certified Associate, Java SE 8 Programmer (1Z0-808 exam) Oracle Certified Professional: Java SE 17 Developer (1Z0-829 exam) Oracle Certified Professional: Java SE 21 Developer (1Z0-830 exam) IMPORTANT! Since Oracle released Java SE 21 Developer exam, I highly recommend my students to take 1Z0-830, rather than 1Z0-830. The preparation is almost identical, but you'll get 30 minutes more on your exam and you'll be certified in latest LTS technology. If you are a candidate for the OCA of Foundations exam, you should only watch the lessons which are marked with [OCA], and if you are aspiring to get the OCP certificate, you should watch all lessons. After you complete the course, you should practice and test your knowledge and problem solving skills with mock exams. My personal recommendation is to use Enthuware, but there are plenty of other resources out there as well. This course will cover following topics: Building Blocks of Java program [OCA] Operators [OCA] Flow Control [OCA] Strings [OCA] Arrays [OCA] Date and Time [OCA] Methods [OCA] Class Design [OCA] Abstract Classes & Interfaces [OCA] Lambdas & Functional Programming [OCA] Collections [OCA] Exceptions [OCA] Math APIs [OCP] Beyond Classes [OCP] Streams [OCP] Localization [OCP] Modules [OCP] Concurrency [OCP] I/O [OCP] JDBC [OCP] Get Certified for Java SE 21 All presentation materials are available for download as PDF files! I strongly encourage you to try out all the examples given in the course, and also to play around with the code to further explore the possibilities coding in Java. You can do this on your local computer by downloading JDK 8 (for OCA candidates) or JDK 17 or JDK 21 (for OCP candidates) from Oracle or OpenJDK and using your favorite IDE. I recommend IntelliJ, but Eclipse or NetBeans will do the job as well. Even quicker option is to use online compilers. My favorites are JDoodle and OneCompiler. This is the fastest way to try out small pieces of code. My name is Luka Popov and I'll be your instructor for this course. I am fully certified Java Developer (Oracle Certified Associate: Java SE 8 Programmer, Oracle Certified Professional: Java SE 17 Developer), with PhD in theoretical physics. I have 10+ years of teaching experience on university level, and 5+ years as a professional software developer. Currently I work as a senior Java developer in a telecom company. Have a nice learning and don't hesitate to contact me if you have any further questions. [b]Who this course is for:[/b] Candidates for Oracle Certified Associate, Java SE 8 Programmer Candidates for Oracle Certified Professional: Java SE 17 Developer Candidates for Oracle Certified Professional: Java SE 21 Developer [center][img][Hidden Content]] [b]DOWNLOAD FROM RAPIDGATOR[/b] [Hidden Content] [b]DOWNLOAD FROM TURBOBIT[/b] [Hidden Content] [b]DOWNLOAD FROM NITROFLARE[/b] [Hidden Content] [b]If any links die or problem unrar, send request to[/b] [hide][Hidden Content]]

[center][img][Hidden Content]] [center][b]Investing Class : Master Ichimoku strategy to Multiply asset | Udemy [Update 10/2024][/b] English | Size: 2.18 GB Genre: eLearning[/center] Level 5. Learning Stock Trading and Investing Strategies. Using Ichimoku Automation alert system to monitor trend. [b]What you'll learn[/b] How to define Golden trend How to define a sideway Define momentum of market Understading Line theories, Wave theories, Time theories When market will have long trend/short trend A map to do Fundamental analyzation Two main factors for macro-economy Money Flow of Financial market Finding the trending industry Using 4M method to read a company info A map to investing LOW CAP COIN Money Flow of Crypto market How to find a " Pump machine" for low cap coin Estimate the price target Step by step to trade with automation alert system - For busy people The case you should skip trading A power method to control Risk Ichimoku - "one look," meaning traders only have to take one look at the chart to determine Trend, Zone, Momentum, Confirmation to give out an entry, exit plan Ichimoku system made analyzation method become easier a lot especially investing career. You have to analyze many many charts a day to find a nice chance. For example, you're having 40 charts on Bank-stocks, each chart need 1 minute to analyze. It means you need to pay 40 minutes for them all. I just talk about only one field. We're having many fields like real-estate companies, technologies, ... Just pause a several minutes to quick refer course content as below, you will see the diffirence I will guide you how to use Ichimoku Automation Alert system to mange up to 100 assets at the same time. The signal will be sent to your smart phone whenever a trend appear on the chart You don't need to monitor the chart all the time and control psychology better You will know how to analyze Fundamental analyzation on Stock and Crypto market Knowing how to choose the potential projects to multiple your capital with Low cap coin If you're busy trader or part time trader, you can use Ichimoku Automation Alert system to trade as the last section with detail examples on any market The current Strategies in this course are: Ichimoku with DCA - Invest Stock/Crypto Small base trading strategy - Trading Crypto and Forex Big base trading strategy - Trading on any assets You will also receive a permission to use Automation trading alert system to follow this strategy You will also get my support on QA or Discussion part anytime, I always willing to reply any your concern when you're practicing and investing Furthermore, you get plenty of insight that will help you reduce risk and increase your level of success For serious traders only, you can enhance your trading ability with NCI learning school with a detailed process for you - Level 0 : Multiple timeframe theory, connect from zone to zone - Level 1 : Complete Key level strategy, drawing key level exactly - Level 2 : Complete Smart Money Concepts, understanding the real market picture with manipulation - Level 3 : How to combine Key level and smart money concepts with market cycle theory and Volume - Level 4 : Using Key level and smart money for day trading, build the road to be success trader, update market structure - Level 5 : For investing trader, Using Ichimoku to multiple assets and using Golden trend indicator to manage 100 assets Please take a look at the course outline, and see you in the course Market is preparing to a new chance to double, triple and multiple your assets many many times if you had enough knowledge So, let's study harder from today. Prepare for your life seriously now or never If you're SERIOUS TRADER / INVESTOR who are ready to be DIFFIRENT this year. Let's come with us. We will FIGHT TOGETHER for a SUCCESS YEAR [b]Who this course is for:[/b] New and Experienced Traders who want to be profitale in trading and investing The officer and part time traders who want to learn a strategy to mange many assets easier. [center][img][Hidden Content]] [b]DOWNLOAD FROM RAPIDGATOR[/b] [Hidden Content] [b]DOWNLOAD FROM TURBOBIT[/b] [Hidden Content] [b]DOWNLOAD FROM NITROFLARE[/b] [Hidden Content] [b]If any links die or problem unrar, send request to[/b] [hide][Hidden Content]]

[center][img][Hidden Content]] [center][b]Java Persistence: Hibernate and JPA Fundamentals | Udemy [Update 10/2024][/b] English | Size: 3.3 GB Genre: eLearning[/center] A simple-to-follow and easy-to-understand course on Java Persistence API (JPA) with Hibernate [b]What you'll learn[/b] By the end of this course, you'll be having a strong foundation on Java Persistence with Hibernate The fundamentals and some of the advanced JPA features for Object/Relational Mapping, Querying, Caching, Performance and Concurrency The fundamentals of First & Second Level Caching, N+1 Selects Problem & Batch Fetching, Optimistic Locking & Versioning The fundamentals of Entity Relationships, Inheritance Mapping & Polymorphic Queries The fundamentals of Querying database using JPQL and Criteria API (JPA) The fundamentals of Handling Long Conversations with Merging Detached Object and Extended Persistence Context The fundamentals of Database Isolation Rules Some of the Best Practices of Java Persistence with Hibernate If you're a Java programmer who wants to learn the fundamentals and some of the advanced topics of Java Persistence with Hibernate, then you're the one this course is designed for. We'll be working with Hibernate 4 (with updates for Hibernate 5 & 6), and using Hibernate as a JPA Provider for the most part of this course. You'll be learning the fundamentals and some of the advanced JPA features for Object/Relational Mapping, Querying, Caching, Fetching Strategies, Performance Optimizations and Concurrency. We'll also talk about Best Practices and how to resolve some of the common performance bottlenecks. The course includes many Lab-Exercises in which we have tasks, Q&A and quizzes for students to revise the concepts learnt in the lectures. We also have expanded discussions on some of those lab-exercises. We also discuss the SQL at runtime and the performance implications of it. The Maven source-code provided with the course currently uses the Hibernate version 6. We try to keep updating the course by adding more and new relevant topics as well. For example, the most recent topic added to the course was Embeddable Inheritance, which was introduced in Hibernate version 6.6. We've used MySQL in the course as the RDBMS. [b]Who this course is for:[/b] Java developers who want to learn Java persistence API (JPA) with Hibernate Professionals working on Java/JavaEE/Spring technologies [center][img][Hidden Content]] [b]DOWNLOAD FROM RAPIDGATOR[/b] [Hidden Content] [b]DOWNLOAD FROM TURBOBIT[/b] [Hidden Content] [b]DOWNLOAD FROM NITROFLARE[/b] [Hidden Content] [b]If any links die or problem unrar, send request to[/b] [hide][Hidden Content]]

[center][img][Hidden Content]] [center][b]Cursor Course: MCP | Full Stack | Free SaaS Boilerplate | Udemy [Update 03/2025][/b] English | Size: 1.6 GB Genre: eLearning[/center] AI Coding with Cursor: Revolutionize Your Coding Workflow with AI-Powered Tools [b]What you'll learn[/b] Master AI-assisted code editing and completion using Cursor's predictive capabilities and natural language instructions. Optimize workflow by leveraging Cursor's codebase knowledge and integrating familiar coding environments. Enhance productivity through effective collaboration with Cursor's AI as a pair programmer. Implement best practices for balancing AI assistance with human creativity in coding projects. Navigate privacy and security considerations while using Cursor, including privacy mode and API key management. Are you ready to revolutionize your development workflow? This Cursor Course will transform the way you write code by unlocking the full potential of Cursor, a cutting-edge AI-powered code editor. Whether you're a seasoned developer aiming for peak productivity or a passionate coding enthusiast ready to harness next-generation tools, this comprehensive Cursor Course is your ultimate guide to AI-assisted full-stack development. We update this regularly with fresh content (AI moves fast!): **Updated March 2025 - Added model context protocol (MCP) and how to stay updated with Cursor. Through engaging hands-on projects and practical examples, you'll quickly master essential features such as intelligent code completion, natural language-driven code generation, and advanced editing shortcuts like CMD+K. Explore the intuitive Agent Mode seamlessly integrating powerful AI workflows into your coding routine. You'll learn to: Efficiently set up and navigate Cursor's AI-enhanced interface Leverage advanced AI-driven editing tools to accelerate your workflow Integrate natural language commands for faster, error-free coding Develop real-world full-stack SaaS applications utilizing Cursor's AI capabilities Address ethical considerations in AI-assisted software development Deploy your own SaaS application using our included production-ready boilerplate By the end of this comprehensive Cursor Course, you'll possess the practical skills and confidence to significantly enhance your productivity, write cleaner and maintainable code, and stay ahead in the dynamic landscape of AI-driven software development. Dive into this Cursor Course today and elevate your coding journey with the power of AI. [b]Who this course is for:[/b] Software engineers that want to leverage AI for improving their workflows. Python developers NextJS developers [center][img][Hidden Content]] [b]DOWNLOAD FROM RAPIDGATOR[/b] [Hidden Content] [b]DOWNLOAD FROM TURBOBIT[/b] [Hidden Content] [b]DOWNLOAD FROM NITROFLARE[/b] [Hidden Content] [b]If any links die or problem unrar, send request to[/b] [hide][Hidden Content]]

[center][img][Hidden Content]] [center][b]The Complete Day Trading Course (Updated 2025) | Udemy [Update 10/2024][/b] English | Size: 5.3 GB Genre: eLearning[/center] Day Trading and Technical Analysis System For Intraday Trading Stocks, Forex, Crypto, Options Trading, Financial Trading [b]What you'll learn[/b] Learn All The Charting Tools, Trading Strategies And Profitable Hacks For Day Trading With Real World Examples! Dedicated Support from the Course Instructors and the Learning Community. 100% Questions Answered Within 24 Hours! How to Build a Solid Strong Foundation For Day Trading How to Use TradingView For Chart Analysis & Paper Trading How to Choose The Best Chart Time Frames For Day Trading How to Use Different Day Trading Order Types How to Short Sell & Deal With Short Squeezes How to Avoid Blowing Up Your Account How to Use Support & Resistance How to Trade Profitable Technical Indicators & Overlays That Work Well For Day Trading How to Identify Market Directions Using EMA How to Identify Market Directions Using MACD How to Identify Overbought and Oversold Conditions Using RSI How to Use Bollinger Bands to Buy Low Sell High How to Trade Profitable Chart Patterns That Work Well For Day Trading How to Trade Broadening Tops and Bottoms How to Trade Wedges and Triangles How to Trade Flags and Pennants How to Trade Gaps How to Trade Double Tops and Bottoms How to Trade Rounding Tops and Bottoms How to Trade Diamond Tops and Bottoms How to Trade Cup and Handle How to Trade Head and Shoulders How to Trade Dead-Cat Bounces And a lot more... Finally, You'll Unlock the Secrets to Successful Day Trading and Start Making Good Living Trading Stocks From Home! Results That Speak for Themselves! Imagine this - you wake up every morning with a clear plan in mind, knowing exactly what to look for when trading stocks. Imagine a future where you're making smart trades and earning profits on your own terms... You feel confident and excited, knowing that you have the skills and knowledge to make informed decisions that will yield impressive returns. Sounds amazing, right? Unfortunately, many traders struggle to achieve this level of success. They lack the proper tools and education, which can lead to frustration, stress, and lost profits... You know, day trading can be a difficult and complex process that takes years to master. But what if I told you that I have a way to make it easier? As a successful day trader myself, I know firsthand the challenges and frustrations that come with the world of trading. It can be overwhelming to navigate the markets, interpret the data, and make quick decisions with confidence. That's why we created The Complete Day Trading Course to give you everything you need to become a confident and successful day trader, without spending years of your life figuring it out on your own! In this course, you'll learn powerful techniques and strategies that we've used to generate consistent profits in the markets. You'll discover how to identify trends, spot trading opportunities, and execute trades with precision! You'll also master how to trade over 16+ profitable chart patterns along with the best-performing indicators that will help you identify potential trend reversals as easy as counting 3... 2... 1... But remember, the markets are constantly changing, and if you don't stay ahead of the game, you risk being left behind. So, don't let the fear of the unknown stop you from unleashing the power of day trading. Join us in The Complete Day Trading Course Course today and you'll transform into a profitable trader faster than you ever thought possible! Here's what you'll learn in this course: All The Charting Tools, Trading Strategies, And Profitable Hacks For Day Trading How to Build a Solid Strong Foundation For Day Trading How to Use TradingView For Chart Analysis & Paper Trading How to Choose The Best Chart Time Frames For Day Trading How to Use Different Day Trading Order Types How to Short Sell & Deal With Short Squeezes How to Avoid Blowing Up Your Account How to Use Support & Resistance How to Trade Profitable Technical Indicators & Overlays That Work Well For Day Trading How to Identify Market Directions Using EMA How to Identify Market Directions Using MACD How to Identify Overbought and Oversold Conditions Using RSI How to Use Bollinger Bands to "Buy Low, Sell High" How to Trade Profitable Chart Patterns That Work Well For Day Trading How to Trade Broadening Tops and Bottoms How to Trade Wedges and Triangles How to Trade Flags and Pennants How to Trade Gaps How to Trade Double Tops and Bottoms How to Trade Rounding Tops and Bottoms How to Trade Diamond Tops and Bottoms How to Trade Cup and Handle How to Trade Head and Shoulders How to Trade Dead-Cat Bounces And a lot more... What is more? Lifetime access to all course materials and video lessons In-depth lessons on market analysis, risk management, and trade execution Access to charting tools and resources to boost your trading performance Get dedicated support from the course Instructors and the learning community anytime you need it! So let me ask you this... Will your investment portfolio grow much faster in the next 12 months after having this day trading system... Do you have some money to invest? Are you reasonably intelligent? Does your family need extra care or support? Are you willing to learn a new skill that guarantees you a second income for the rest of your life? Would you like to work less and make more? I will assume your answers are the same as mine... Then You Have 2 Clear Choices 1. Keep doing things the way you have been and remain frustrated, lose money, and simply get used to your average life... or 2. Enroll in The Complete Day Trading Course and become a pro day trader, start making a good living trading from home, and never worry about money ever again... Now You Have a Big Chance to Upgrade Your Day Trading Skills Listen, if you don't get how important mastering these day trading strategies is then don't enroll in this program. Keep shlepping away in the same manner you have been, maybe you'll get a different result :) In that case, you're going to wake up 6 months from now, with everything still very much the same as it is today - don't know how to trade, have no clue about what's going on with your money, stress, feel frustrated. you know how it goes! Is that what you want for yourself? No. I don't want that for you either. which is why I want you to do something right now. Sign up for this course, learn all the profitable day trading hacks, and start trading from home today. Join us in The Complete Day Trading Course Course today and you'll transform into a profitable trader faster than you ever thought possible! [b]Who this course is for:[/b] If you are serious about Making Money Online by investing in the Stock Market, this course is for you! If you want to Create a New Source of Passive Income, you've come to the right place! If you want to find a Trading Strategy that Actually Works, you should not ignore this course! If you are learning about Day Trading, this course will be a Shortcut! This course is for EVERYONE, who wants to Get Rich by Investing in the Stock Market. [center][img][Hidden Content]] [b]DOWNLOAD FROM RAPIDGATOR[/b] [Hidden Content] [b]DOWNLOAD FROM TURBOBIT[/b] [Hidden Content] [b]DOWNLOAD FROM NITROFLARE[/b] [Hidden Content] [b]If any links die or problem unrar, send request to[/b] [hide][Hidden Content]]

[center][img][Hidden Content]] [center][b]Amazon Q Developer for Programmers and DevOps AWS AI coding | Udemy [Update 10/2024][/b] English | Size: 2.07 GB Genre: eLearning[/center] Revolutionize your programming workflow with Amazon Q Developer, your own AI-powered coding assistant with AWS! [b]What you'll learn[/b] Properly use Amazon Q Developer for software development Code examples for Java, JavaScript, Python and TerraForm Generate, document, explain and test code in a few seconds with effective prompting Leverage Amazon Q's capabilities to write better code, faster Understand GitHub Copilot and use it at its full potential Welcome to the complete guide to Amazon Q developer. This comprehensive course is designed to guide you through the ins and outs of Amazon Q developer, an AI-powered coding assistant that can revolutionize your programming workflow. Topics covered inside by course: What is Amazon Q developer and how you can use it What are advantages of using Amazon Q developer How to sign up and install it inside Visual Studio Code and JetBrains IDE Intermediate topics: How to use Amazon Q developer chat for general questions and inside a software project How to iterate prompts Code generation 4 ways to interact with Amazon Q developer inside Visual Studio Code In this course you will also learn how to write HTML and CSS faster with Amazon Q developer Advanced topics: Use JavaScript, Python of Java code examples: Complex project: Password checker - prompt and iterate with Amazon Q developer Setup Unit testing and generate complex tests with Amazon Q developer Use Amazon Q developer for text generation: code description, commit messages Course advantages: Beyond the basics - after finish, you can directly use this knowledge into production code Practical knowledge - presentations are kept to a minimum, we focus on what is really important Logical and flexible structure - take the course at your own pace Fast paced, concise, most typing cut out - focus on explanations - respect for your time Big font, dark background, full HD content, this way it is readable even on a small screen or even tablet. Lifetime access Certificate of completion to present to your current or prospective employer Q&A active instructor Go beyond the theory and learn from an active instructor, aligned with today's programming demands! By the end of this course, you'll have a thorough understanding of Amazon Q developer and how to use it to its full potential. Whether you're a seasoned developer looking to speed up your workflow, or a beginner seeking to learn more about the latest tools in software development, this course has something for you. Join me on this journey and start coding smarter, not harder, with Amazon Q developer! [b]Who this course is for:[/b] Developers who want to improve their productivity with Amazon Q developer DevOps engineers who want to increase their productivity [center][img][Hidden Content]] [b]DOWNLOAD FROM RAPIDGATOR[/b] [Hidden Content] [b]DOWNLOAD FROM TURBOBIT[/b] [Hidden Content] [b]DOWNLOAD FROM NITROFLARE[/b] [Hidden Content] [b]If any links die or problem unrar, send request to[/b] [hide][Hidden Content]]

[center][img][Hidden Content]] [center][b]Apache Kafka Series - Kafka Security | SSL SASL Kerberos ACL | Udemy [Update 12/2024][/b] English | Size: 854 MB Genre: eLearning[/center] Hands-On Course - Kafka Security Setup in AWS with SSL Encryption & Authentication, SASL Kerberos, ACL in Zookeeper [b]What you'll learn[/b] Setup and use SSL encryption in Kafka Setup and use SSL authentication in Kafka Setup and use SASL Kerberos authentication in Kafka Create and use ACLs in Kafka Configure Kafka Clients to make them work with security Configure Zookeeper Security If you've struggled setting up Kafka Security, or can't make sense of the documentation, this course is for you First of all, an insecure cluster is a big problem: anyone can read / write to any topic, and this can lead to bad data or data leak you don't know who is connected to your cluster data isn't encrypted in flight and could be intercepted by hackers In this course, you'll learn Kafka Security, with Encryption (SSL), Authentication (SSL & SASL), and Authorization (ACL). Over 1800 students and 160 reviews later, we're convinced this course can save you a lot of time. ---------------------------- Kafka Security is important for the following reasons: Encryption (SSL) for Apache Kafka > Ensure data is securely transported from machine to machine > Prevent MIDM (man-in-the-middle attacks) on your Kafka Cluster > No more PLAINTEXT data going around in your network Authentication (SSL & SASL) for Apache Kafka > Ensure only clients with credentials can access your clusters > Give each of your clients a user-id, therefore enabling the possibility of controlling their access using ACL Authorization (ACL) for Apache Kafka > Ensure the clients can only read / write topics based on administrator rules > Ensure clients cannot create / delete topics > Provide the audit team the guarantee that the cluster is secure Hands On & Theory Based Course Note: This course only deals with SSL for encryption & Authentication and SASL Kerberos, not other mechanisms. It also does provide an overview to enable security in a multi-broker setup, but that last part is left for the student to investigate and practice. This course is the first and only available Kafka Security Course on the web. Get it now to become an Apache Kafka expert! Section outline: Course Introduction: Let's learn why we need Security in Apache Kafka Kafka Setup: Quickly setup Kafka in AWS EC2 and test it, as a pre-requisite to setting up security on it SSL Encryption in Kafka: Setup a Certificate Authority and create certificates for your Kafka broker and Kafka client SSL Authentication in Kafka: Learn how to force clients to authenticate using SSL to connect to your Kafka Cluster SASL Authentication - Kerberos GSSAPI in Kafka: Setup Kerberos on an EC2 machine and create credentials for Kafka and Clients. Authorization in Kafka: Learn how to enforce ACLs in Kafka and use the CLI to authorize clients. Zookeeper Security: Learn how to secure Zookeeper using Kerberos =============================== Instructor My name is Stephane Maarek, and I'll be your instructor in this course. I teach about Apache Kafka, the Kafka ecosystem and Kafka Certifications with my focus always on helping my students improve their professional proficiencies. I am also the co-founder of Conduktor: an enterprise Apache Kafka platform & UI to help everyone use Kafka. Throughout my career in designing and delivering these certifications and courses, I have already taught 1,000,000+ students and gotten 350,000+ reviews! Gerd Koenig is one of the instructors of this course. He is an Apache Kafka Expert, and has done countless of production deployments and security setup at many of his clients. He will be taking the leads on all the Hands-On Lecture. With Apache Kafka becoming much more than a buzzword out there, I've decided it's time for students to properly learn how to be a Kafka professional. So, let's kick start the course! You are in good hands! =============================== This Course Also Comes With: Lifetime Access to All Future Updates A responsive instructor in the Q&A Section Links to interesting articles, and lots of good code to base your next applications onto Udemy Certificate of Completion Ready for Download This is the course that could improve your career! Apache Kafka is a skill in high demand and there are not enough people to fulfill all the open positions. You can boost your income, take on new roles and fun challenges. Many of my students are now the Kafka experts of their companies! You can be the next! I hope to see you inside the course! ======================= Note: Looking for more advanced Kafka concepts? There are many volumes in the Apache Kafka Series: Learn Kafka for Beginners v2 (great to start) Kafka Connect Hands-On Learning Kafka Streams for Data Processing KSQL on ksqlDB - Hands On! Kafka Cluster Setup & Administration Confluent Schema Registry & Kafka REST Proxy Kafka Security (SSL SASL ACL) Kafka Monitoring and Operations Happy learning! [b]Who this course is for:[/b] Administrators who want to start setting up Kafka Security Developers who want to learn which security settings to use in their programs Solution Architects who want to learn how Kafka Security works [center][img][Hidden Content]] [b]DOWNLOAD FROM RAPIDGATOR[/b] [Hidden Content] [b]DOWNLOAD FROM TURBOBIT[/b] [Hidden Content] [b]DOWNLOAD FROM NITROFLARE[/b] [Hidden Content] [b]If any links die or problem unrar, send request to[/b] [hide][Hidden Content]]

[center][img][Hidden Content]] [center][b]Automated Cryptocurrency Portfolio Investing with Python A-Z | Udemy [Update 02/2025][/b] English | Size: 7.67 GB Create your automated Crypto Robo-Advisor | Portfolio Optimization & Rebalancing | Many Exchanges & Coins supported! [b]What you'll learn[/b] How to boost your Crypto Investments with Portfolio Diversification and Rebalancing How to build an automated Portfolio Investing and Rebalancing Bot (Python) Crypto Portfolio Optimization, Management and Rebalancing How to measure and improve the Performance of your Crypto Portfolio How to load the complete Crypto Markets data from Coingecko Truly Data-driven Crypto Investing Basics on Cryptocurrencies, Investing and Trading API Trading and Investing with Binance, Coinbase, Kraken & many other Exchanges How to get programmatic access to many Crypto Exchanges with the CCXT Library Python Coding and Object Oriented Programming (OOP) in a way that everybody understands it Coding with Numpy, Pandas, Matplotlib and Seaborn Mean-Variance Portfolio Optimization More advanced & practical Portfolio Optimization techniques How to create Crypto Indices and Investment Benchmarks Welcome to the first-ever course on (Automated) Cryptocurrency Portfolio Investing. Investing in Cryptocurrencies has been highly profitable but also risky and volatile in the past. Did you know that you can substantially improve the performance of your Crypto Investments with Portfolio Diversification (there is more than just Bitcoin and Ethereum) Active and frequent Portfolio Rebalancing ...leading to higher Profitability and/or lower Risk! This course provides practical and simple-to-use Python tools for Portfolio Optimization automated Portfolio Investing & Rebalancing for Exchanges like Binance, Coinbase, Kraken & co. The course is structured in four Parts: Part 1: Basics & Prerequisites Trading vs Investing What you should know about Cryptocurrencies as an Asset Class Trading and Investing on Exchanges like Binance, Coinbase, Kraken & co. Loading tons of Crypto Market Data from Data Aggregators Analyzing the Cryptocurrency Market with Python and Pandas Part 2: Crypto Portfolio Investing and Rebalancing with Python Building and using a Portfolio Investing and Rebalancing Bot API Trading with CCXT Required Python skills (Error Handling, Object Oriented Programming) Part 3: Crypto Portfolio Management and Optimization Financial Data Analysis & Performance Measurement Creating Crypto Indices and Portfolios Portfolio Optimization (and its Pitfalls) Reverse Optimization & the Black-Litterman model Advanced Topics and Theory Part 4 (Appendix): A Python Crash Course (optional) Everything you need to know about Python Coding for this Course - no more, no less What else should you know about me and the course? The course shows how to do things right. But equally important, it highlights the most commonly made mistakes in (Crypto) Investing. There is hardly any other business where beginners make so many mistakes. Why is that? A lack of skills, expertise, and experience. And: Overconfidence and overreliance on intuition. As a finance professional with an extensive academic background (MSc in Finance, CFA) my clear message is: For Trading and Investing, intuition and common sense are not your best friends. Very often, the most intuitive solution is not the correct solution! This course is "not only" a crypto investing course but also an in-depth Python Course that goes beyond what you can typically see in other courses. Create hands-on Applications with Python and use it for your Crypto Investing Business! What are you waiting for? Join now! Thanks and looking forward to seeing you in the Course! [b]Who this course is for:[/b] Beginners who want to start with Cryptocurrencies and want to do it right straight way (avoiding common mistakes). Cryptorcurreny Traders and Investors who want to professionalize and automate their Business. Finance & Investment Professionals who want to step into Data-driven Finance. Data Scientists and Machine Learning Professionals with an interest in Investing into Cryptos. [center][img][Hidden Content]] [b]DOWNLOAD FROM RAPIDGATOR[/b] [Hidden Content] [b]DOWNLOAD FROM TURBOBIT[/b] [Hidden Content] [b]DOWNLOAD FROM NITROFLARE[/b] [Hidden Content] [b]If any links die or problem unrar, send request to[/b] [hide][Hidden Content]]

[center][img][Hidden Content]] [center][b]2025 R 4.0 Programming for Data Science || Beginners to Pro | Udemy [Update 12/2024][/b] English | Size: 5.13 GB Genre: eLearning[/center] Learn Latest R 4 with R-Studio & Jupyter. DataFrame, Vectors, Matrix, DateTime, GGplot2, Tidyverse, Plotly, etc. [b]What you'll learn[/b] Learn to write a program in R 4.0 Learn fundamentals of R programming How to use R-Studio How to analyze the data How to plot beautiful plots Real exercise for data analysis Use for Machine Learning programming Write code for Linear Regression and Logistic Regression Analysis Data visualization on real dataset | Covid-19, Boston Housing Price and Titanic dataset Learn Plotly for Covid-19 Data Analysis Advanced Plotly in R Linear Regression in R Non-Linear and Polynomial Regression Multiple Simple Linear Regression in R on Boston Housing Price Prediction Take your first step towards becoming a data science expert with our comprehensive R programming course. This course is designed for beginners with little or no programming experience, as well as experienced R developers looking to expand their skill set. You'll start with the basics of R programming and work your way up to advanced techniques used in data science. Along the way, you'll gain hands-on experience with popular R libraries such as dplyr, ggplot2, and tidyr. You will learn how to import, clean and manipulate data, create visualizations and statistical models to gain insights and make predictions. You will also learn data wrangling techniques and how to use R for data visualization. By the end of the course, you'll have a solid understanding of R programming and be able to apply your new skills to a wide range of data science projects. You'll also learn how to use R in Jupyter notebook, so that you can easily share your work and collaborate with others. So, if you're ready to take your first step towards becoming a data science expert, this is the course for you! With our hands-on approach and interactive quizzes, you'll be able to put your new skills into practice right away. In this course, you learn: How to install R-Packages How to work with R-data types What is R DataFrame, Matrices, Vectors, etc? How to work with DataFrames How to perform join and merge operations on DataFrames How to plot data using ggplot2 in R 4.0 Analysis of real-life dataset Covid-19 How this course will help you? This course will give you a very solid foundation in machine learning. You will be able to use the concepts of this course in other machine learning models. If you are a business manager or an executive or a student who wants to learn and excel in machine learning, this is the perfect course for you. What makes us qualified to teach you? I am a Ph.D. Scholar in Machine Learning and taught tens of thousands of students over the years through my classes at the KGP Talkie YouTube channel. A few of my courses are part of Udemy's top 5000 courses collection and curated for Udemy Business. I promise you will not regret it. [b]Who this course is for:[/b] Data Scientist Beginners R Programmers Data Scientist who codes in R Data Analyst who codes in R Data Scientist managers, executives or students [center][img][Hidden Content]] [b]DOWNLOAD FROM RAPIDGATOR[/b] [Hidden Content] [b]DOWNLOAD FROM TURBOBIT[/b] [Hidden Content] [b]DOWNLOAD FROM NITROFLARE[/b] [Hidden Content] [b]If any links die or problem unrar, send request to[/b] [hide][Hidden Content]]

[center][img][Hidden Content]] [center][b]IoT Full Project Course | Udemy [Update 12/2024][/b] English | Size: 8.96 GB Genre: eLearning[/center] Create a full IoT system, from the device (ESP32, ESP-IDF, C++), to the backend, and the client interface (Python). [b]What you'll learn[/b] Develop a full IoT project: Embedded device + Backend + Client interface Solidify their C++ knowledge by applying it with FreeRTOS & ESP-IDF Understand many core concepts of a Real Time Operating System Understand how to handle network connectivity from a ESP32 Develop a simple backend with Python & Flask for storing / receiving data Develop a simple client interface with Python & Kivy for displaying the data In this hands-on course, you'll deepen your knowledge of C, C++, and Python while learning how to build a complete IoT system from the ground up. By the end of this course, you'll have created a fully functional IoT plant moisture tracker, capable of monitoring your plants' health, sending real-time data to your backend, and displaying the information on your client interface. What You'll Learn The course is divided into three key parts: Part 1: We'll start by using C and C++ with the ESP-IDF framework to program the ESP-32 microcontroller. You'll learn how to write efficient code to measure soil moisture and transmit the data wirelessly (WiFi). Part 2: Next, we'll build the backend using Python and Flask. This server will process and store incoming data from the IoT device, acting as the backbone of the system. Part 3: Finally, we'll design an intuitive client interface using Python and Kivy, where you can view moisture readings retrieved from the backend in real time. Who Should Take This Course? This course is designed for individuals with a basic understanding of C, C++, and Python, who are eager to: Advance their programming skills to an intermediate level. Learn core concepts of IoT development through hands-on projects. Explore frameworks like ESP-IDF, Flask, and Kivy while working with microcontrollers and backend systems. To complete this course, you will need to purchase the following materials using your own means (you can get a PDF file from the Lecture 2 => Resources with example purchase links, you are not required to buy the course in order to download this file), the total cost of the kit should be around 30 EUR / USD. 1. ESP32 DEVKIT-V1 BOARD 2. USB-A to Micro-USB cable 3. Capacitive Soil Moisture Sensor V1.2 4. Male to Female Jumper cables [b]Who this course is for:[/b] This course is intended for individuals with at least a basic understanding of C, C++, and Python. If you're looking to advance your technical skills to an intermediate level in these languages while learning key concepts of the Internet of Things, this course is for you. [center][img][Hidden Content]] [b]DOWNLOAD FROM RAPIDGATOR[/b] [Hidden Content] [b]DOWNLOAD FROM TURBOBIT[/b] [Hidden Content] [b]DOWNLOAD FROM NITROFLARE[/b] [Hidden Content] [b]If any links die or problem unrar, send request to[/b] [hide][Hidden Content]]

[center][img][Hidden Content]] [center][b]Real World Projects: Linux Training for Practical Job Skills | Udemy [Update 05/2024][/b] English | Size: 1.59 GB Genre: eLearning[/center] Work on real-world projects: monitoring, security, antivirus/vulnerability, data management, Ansible & App Deployment [b]What you'll learn[/b] Boost your confidence and employability in the tech industry Master Linux in a practical, job-oriented manner Master virtual environment setup and management using Vagrant and VirtualBox Gain proficiency in Linux system monitoring and performance analysis tools Acquire skills in network configuration, security, and VPN setup on Ubuntu Learn server deployment, SSL certification, and database management on Linux Implement antivirus solutions and vulnerability management using ClamAV and vuls Develop expertise in data management, NFS, LVM, RAID, and Linux backup strategies Welcome to 'Real World Projects: Linux Training for Practical Job Skills' a course carefully designed for those eager to deepen their expertise in Linux System Administration and apply their knowledge in real-world scenarios. This course stands out by offering hands-on, practical experience through a series of job simulation projects that mirror real-world challenges. Throughout this course, you'll embark on a journey through various aspects of Linux, gaining proficiency in essential skills and tools. We start with the basics, ensuring a solid foundation, and gradually move towards more complex tasks and environments. The highlight of the course is the unique project-based approach. Each project is crafted to simulate a real-world job scenario, providing you with invaluable insights into the practical applications of Linux in a professional setting. These projects range from basic system setup and configuration to more advanced topics like server management, security hardening, shell scripting and performance tuning. By the end of this course, you'll have not only theoretical knowledge of Linux administration and the Linux command line but also practical experience that mimics real-life job responsibilities. This comprehensive understanding and hands-on expertise will significantly boost your confidence and employability in the tech industry, especially in roles that demand strong Linux administration and Linux command line skills Whether you're a beginner looking to start a career in IT, or an experienced professional aiming to upgrade your Linux skills, this course is the perfect pathway to mastering Linux in a practical, job-oriented manner. [b]Who this course is for:[/b] Ideal for IT professionals with intermediate Linux skills seeking to deepen their expertise Perfect for system administrators wanting to enhance their Linux administration toolkit Suited for network engineers aiming to expand their knowledge in Linux-based environments Beneficial for cybersecurity enthusiasts looking to learn about Linux security and monitoring [center][img][Hidden Content]] [b]DOWNLOAD FROM RAPIDGATOR[/b] [Hidden Content] [b]DOWNLOAD FROM TURBOBIT[/b] [Hidden Content] [b]DOWNLOAD FROM NITROFLARE[/b] [Hidden Content] [b]If any links die or problem unrar, send request to[/b] [hide][Hidden Content]]

[center][img][Hidden Content]] [center][b]Learn Streamlit Python | Udemy [Update 08/2024][/b] English | Size: 18.5 GB Genre: eLearning[/center] Create Beautiful Data Apps and Machine Learning Web Apps In Python Faster with Streamlit [b]What you'll learn[/b] Learn the basics of Streamlit Framework Use Streamlit to create Machine Learning Web Apps and Data Apps Deploying Streamlit Python Web Applications Are you having difficulties trying to build web applications for your data science projects? Do you spend more time trying to create a simple MVP app with your data to show your clients and others? Then let me introduce you to Streamlit - a python framework for building web apps. Welcome to the coolest online resource for learning how to create Data Science Apps and Machine Learning Web Apps using the awesome Streamlit Framework and Python. This course will teach you Streamlit - the python framework that saves you from spending days and weeks in creating data science and machine learning web applications. In this course we will cover everything you need to know concerning streamlit such as Fundamentals and the Basics of Streamlit ; - Working with Text - Working with Widgets (Buttons,Sliders, - Displaying Data - Displaying Charts and Plots - Working with Media Files (Audio,Images,Video) - Streamlit Layouts - File Uploads - Streamlit Static Components Creating cool data visualization apps How to Build A Full Web Application with Streamlit By the end of this exciting course you will be able to Build data science apps in hours not days Productionized your machine learning models into web apps using streamlit Build some cools and fun data apps Deploy your streamlit apps using Docker,Heroku,Streamlit Share and more Join us as we explore the world of building Data and ML Apps. See you in the Course,Stay blessed. Tips for getting through the course Please write or code along with us do not just watch,this will enhance your understanding. You can regulate the speed and audio of the video as you wish,preferably at -0.75x if the speed is too fast for you. Suggested Prerequisites is understanding of Python This course is about Streamlit an ML Framework to create data apps in hours not weeks. We will try our best to cover some concepts for the beginner and the pro . [b]Who this course is for:[/b] Beginner Python Developers curious about Streamlit Data Scientist and ML Engineers who want to productionized their Models faster [center][img][Hidden Content]] [b]DOWNLOAD FROM RAPIDGATOR[/b] [Hidden Content] [b]DOWNLOAD FROM TURBOBIT[/b] [Hidden Content] [b]DOWNLOAD FROM NITROFLARE[/b] [Hidden Content] [b]If any links die or problem unrar, send request to[/b] [hide][Hidden Content]]

[center][img][Hidden Content]] [center][b]The Complete Strapi Course - with plugins and deployment | Udemy [Update 07/2024][/b] English | Size: 6.28 GB Genre: eLearning[/center] The only Strapi v4 course you'll ever need! From the basics to building a full app, a plugin and production deployment! [b]What you'll learn[/b] Master the Strapi 4, the leading headless CMS, from the basics to advanced skills Create a complete Strapi application, with custom features and a full plugin Learn Strapi basics: content types, relations, components, dynamic zones, and more Customize the Strapi REST API with custom routes, controllers, services, etc. Customize the Strapi GraphQL API with custom operations Interact with your app via Strapi's REST and GraphQL API Learn Strapi plugins development by creating a full plugin (admin UI included) Deploy Strapi with 2 different architectures and CI/CD pipeline The definitive course to learn Strapi™ v4 from the basics to advanced usage! Why Strapi and why this course? This course is perfect for anyone that wants to add Strapi to their developer toolbox, being it the most popular headless CMS in the market (and still growing!), which combines top-level out-of-the-box features with strong flexibility and extensibility. Build and deploy a complete Strapi app, plus a complete plugin! In this course I will drive you from the very basic concepts to building, customizing and deploying a complete Strapi application. The application we'll be creating includes features built by extending the Strapi core via custom logic (routes, controllers, GraphQL resolvers, etc.). Furthermore, in this course you'll be developing a complete plugin (admin + server code), that is ready to be published on the Strapi Market (and in fact you will find it there now!). Let me say that the Strapi Plugin section is a course in the course, and it will give you the skills to propose Strapi plugins to customers, both through the newborn Strapi market (that has high growth potential) and directly. Course topics list Here are the main topics you will be learning: Working with content: content types, fields, relations, components, dynamic zones Authorization & authentication system Working with the REST API Working with the GraphQL API Extending Strapi core: custom routes, controllers, services, policies, middleware Extending the GraphQL plugin Customizing the Admin Panel Creating a complete plugin (server and admin included), ready for the Strapi marketplace Deploying Strapi in production What you'll be able to do afterwards By the end of this course, you will feel empowered as you'll master a framework that dramatically speeds up time to market in developing production-ready backend applications, while not sacrificing extensibility to adapt it to endless use cases and business requirements! Disclaimer The Strapi™ name and logo are property of Strapi Solutions SAS and are shown, as well as parts of the Strapi application, for educational purposes. This course is published independently, with no affiliation with Strapi Solutions SAS. [b]Who this course is for:[/b] Whoever aims at fully mastering the n. 1 headless CMS in the market Front-end developers who see in Strapi the best way to embrace full-stack development Back-end engineers who see in Strapi the most efficient and flexible development framework [center][img][Hidden Content]] [b]DOWNLOAD FROM RAPIDGATOR[/b] [Hidden Content] [b]DOWNLOAD FROM TURBOBIT[/b] [Hidden Content] [b]DOWNLOAD FROM NITROFLARE[/b] [Hidden Content] [b]If any links die or problem unrar, send request to[/b] [hide][Hidden Content]]

[center][img][Hidden Content]] [center][b]Python: SOLID Principles and Top Design Patterns | Udemy [Update 10/2024][/b] English | Size: 1.84 GB Genre: eLearning[/center] Learn how to improve your Python code through mastery of S.O.L.I.D principles and the Top GoF Design Patterns. [b]What you'll learn[/b] *Master* the most important and fundamental design patterns in modern Software Engineering within the *Python* ecosystem Learn and internalize the S.O.L.I.D principles of design like seasoned *Senior Developers* do. Get a deep understanding of the WHAT, WHY, and HOW for those *Fundamental Design Patterns*. Get a full Architectural exposition (with UML) of each pattern as well as *real-world* scenarios with hands-on coding examples for each pattern. Work on and complete Object Oriented *Python* assignments that will push your understanding of those patterns deeper and more fundamentally. Learn how to *identify* the *best pattern* for the given Architectural challenge. We all want to become better software developers and be able to call ourselves "Software Engineers" or "Software Architects", but to do that you first have to master a number of design patterns. This course will put you on a track to that destination. We will teach you how to recognize when to use specific design patterns to build complex systems in a divide-and-conquer manner so that complexity is reduced and abstracted. But rather than learning all the design patterns out there, we have curated the most important, the top fundamental GoF Design Patterns for you. All of that in the context of the Object Oriented Python. We start with full understanding of the S.O.L.I.D Design Principles and how they in turn relate to those design patterns. We explain everything in the context of real-world problems as well as specific code examples. if you need a Python OOP Refresher, we have that for you. everything from classes to interfaces and abstract classes is covered. We will also show you how to code using pygame (Python Game Platform.) At the end of the course you will get to Architect a solution by coding John Conway's Game of Life simulation which will run on your mobile device. Complex software systems are plagued with three major issues: Timelines are stretched as requirements change. Multiple developers have a hard time coordinating their efforts. Code redundancy. This in turn creates issues with maintenance and overall flexibility for adding new features. In general this means poorly designed systems that are hard to maintain and are not adaptable. One answer to all the above problems is having a proper design and architecture. Think of a skyscraper being built. There is always a high-level blueprint. This blueprint is used to show everybody involved (from architects to supply chain to construction workers to machinery scheduling etc.) what is being worked on. That way, everybody understands and follows the same vision. A blueprint has a number of commonly understood elements which repeat themselves across many projects. For example all buildings need electrical wiring and plumbing, they might need elevators, and cooling systems, and underground parking lots, and of course stairs. They also usually are connected to the electrical grid and water supply as well as. roads. All these common elements follow certain standards that have been improved over many many years and across many many projects. They are well understood and can be used almost like recipes. In Software Engineering we also have a set of elements that repeat themselves across many projects. For example all software applications need to create objects, they need to communicate state change across those objects, they need to be able traverse over collections of those objects. In other words, if you want to be a better developer then you need to become proficient in those elements that have been time-tested. In the Software Engineering world these elements are known as "Design Patterns" This course will teach students how to recognize when to use specific design patterns to build complex systems in a divide-and-conquer manner so that complexity is reduced and abstracted. This will help you to design projects in an Architectural manner before any major development happens and can be used to shorten development time and reduce maintenance costs. Design patterns are important because they are time-tested recipes or solutions to well-known software engineering problems. When creating software applications certain problems recur in a pretty predictable fashion so rather than 'reinvent' the wheel we will have an assortment of, if you will, wheels to choose from. We will teach you this in a slightly different manner than you probably have been taught before. We will take a practical approach (i.e. specific examples) but the power of Design Patterns comes from their 'concept' and we will teach you the concept of those design patterns so that you are fully able to change them and modify them to your needs. In addition we will look at how to combine all those patterns into something greater: an architecture. A well designed Architecture is this magical thing where the whole is greater than the sum of its parts. This is what we will strive to teach you. [b]Who this course is for:[/b] *Python* developers who want to learn to Design, Architect, and ultimately develop *better code*. Developers who want to get a deep understanding of what makes GREAT *Software Architecture*. [center][img][Hidden Content]] [b]DOWNLOAD FROM RAPIDGATOR[/b] [Hidden Content] [b]DOWNLOAD FROM TURBOBIT[/b] [Hidden Content] [b]DOWNLOAD FROM NITROFLARE[/b] [Hidden Content] [b]If any links die or problem unrar, send request to[/b] [hide][Hidden Content]]

[center][img][Hidden Content]] [center][b]Machine Learning: Natural Language Processing in Python (V2) | Udemy [Update 12/2024][/b] English | Size: 4.7 GB Genre: eLearning[/center] NLP: Use Markov Models, NLTK, Artificial Intelligence, Deep Learning, Machine Learning, and Data Science in Python [b]What you'll learn[/b] How to convert text into vectors using CountVectorizer, TF-IDF, word2vec, and GloVe How to implement a document retrieval system / search engine / similarity search / vector similarity Probability models, language models and Markov models (prerequisite for Transformers, BERT, and GPT-3) How to implement a cipher decryption algorithm using genetic algorithms and language modeling How to implement spam detection How to implement sentiment analysis How to implement an article spinner How to implement text summarization How to implement latent semantic indexing How to implement topic modeling with LDA, NMF, and SVD Machine learning (Naive Bayes, Logistic Regression, PCA, SVD, Latent Dirichlet Allocation) Deep learning (ANNs, CNNs, RNNs, LSTM, GRU) (more important prerequisites for BERT and GPT-3) Hugging Face Transformers (VIP only) How to use Python, Scikit-Learn, Tensorflow, +More for NLP Text preprocessing, tokenization, stopwords, lemmatization, and stemming Parts-of-speech (POS) tagging and named entity recognition (NER) Understand important foundations for OpenAI ChatGPT, GPT-4, DALL-E, Midjourney, and Stable Diffusion Ever wondered how AI technologies like OpenAI ChatGPT, GPT-4, DALL-E, Midjourney, and Stable Diffusion really work? In this course, you will learn the foundations of these groundbreaking applications. Hello friends! Welcome to Machine Learning: Natural Language Processing in Python (Version 2). This is a massive 4-in-1 course covering: 1) Vector models and text preprocessing methods 2) Probability models and Markov models 3) Machine learning methods 4) Deep learning and neural network methods In part 1, which covers vector models and text preprocessing methods, you will learn about why vectors are so essential in data science and artificial intelligence. You will learn about various techniques for converting text into vectors, such as the CountVectorizer and TF-IDF, and you'll learn the basics of neural embedding methods like word2vec, and GloVe. You'll then apply what you learned for various tasks, such as: Text classification Document retrieval / search engine Text summarization Along the way, you'll also learn important text preprocessing steps, such as tokenization, stemming, and lemmatization. You'll be introduced briefly to classic NLP tasks such as parts-of-speech tagging. In part 2, which covers probability models and Markov models, you'll learn about one of the most important models in all of data science and machine learning in the past 100 years. It has been applied in many areas in addition to NLP, such as finance, bioinformatics, and reinforcement learning. In this course, you'll see how such probability models can be used in various ways, such as: Building a text classifier Article spinning Text generation (generating poetry) Importantly, these methods are an essential prerequisite for understanding how the latest Transformer (attention) models such as BERT and GPT-3 work. Specifically, we'll learn about 2 important tasks which correspond with the pre-training objectives for BERT and GPT. In part 3, which covers machine learning methods, you'll learn about more of the classic NLP tasks, such as: Spam detection Sentiment analysis Latent semantic analysis (also known as latent semantic indexing) Topic modeling This section will be application-focused rather than theory-focused, meaning that instead of spending most of our effort learning about the details of various ML algorithms, you'll be focusing on how they can be applied to the above tasks. Of course, you'll still need to learn something about those algorithms in order to understand what's going on. The following algorithms will be used: Naive Bayes Logistic Regression Principal Components Analysis (PCA) / Singular Value Decomposition (SVD) Latent Dirichlet Allocation (LDA) These are not just "any" machine learning / artificial intelligence algorithms but rather, ones that have been staples in NLP and are thus an essential part of any NLP course. In part 4, which covers deep learning methods, you'll learn about modern neural network architectures that can be applied to solve NLP tasks. Thanks to their great power and flexibility, neural networks can be used to solve any of the aforementioned tasks in the course. You'll learn about: Feedforward Artificial Neural Networks (ANNs) Embeddings Convolutional Neural Networks (CNNs) Recurrent Neural Networks (RNNs) The study of RNNs will involve modern architectures such as the LSTM and GRU which have been widely used by Google, Amazon, Apple, Facebook, etc. for difficult tasks such as language translation, speech recognition, and text-to-speech. Obviously, as the latest Transformers (such as BERT and GPT-3) are examples of deep neural networks, this part of the course is an essential prerequisite for understanding Transformers. UNIQUE FEATURES Every line of code explained in detail - email me any time if you disagree No wasted time "typing" on the keyboard like other courses - let's be honest, nobody can really write code worth learning about in just 20 minutes from scratch Not afraid of university-level math - get important details about algorithms that other courses leave out Thank you for reading and I hope to see you soon! [b]Who this course is for:[/b] Anyone who wants to learn natural language processing (NLP) Anyone interested in artificial intelligence, machine learning, deep learning, or data science Anyone who wants to go beyond typical beginner-only courses on Udemy [center][img][Hidden Content]] [b]DOWNLOAD FROM RAPIDGATOR[/b] [Hidden Content] [b]DOWNLOAD FROM TURBOBIT[/b] [Hidden Content] [b]DOWNLOAD FROM NITROFLARE[/b] [Hidden Content] [b]If any links die or problem unrar, send request to[/b] [hide][Hidden Content]]

[center][img][Hidden Content]] [center][b]Introduction to Cloud Computing on AWS for Beginners [2025] | Udemy [Update 12/2024][/b] English | Size: 2.01 GB Genre: eLearning[/center] Learn Cloud Computing Concepts and AWS Basics | Master AWS Fundamentals and Hands-on Skills on Amazon Web Services (AWS) [b]What you'll learn[/b] This course covers fundamental concepts of cloud computing and is designed for absolute beginners Learn the basics of Amazon Web Services (AWS), the world's leading cloud computing platform Gain an understanding of the fundamental systems on which the cloud is based, including storage, networking, and compute Develop hands-on skills using core Amazon Web Services (AWS) services Build knowledge from beginner level to advanced concepts This beginner-friendly Introduction to Cloud Computing on AWS course takes you from the AWS basics to becoming a competent AWS cloud practitioner. With expert instruction and engaging content, you'll learn general cloud computing concepts and AWS from fundamentals right through to advanced concepts. You'll also build hands-on skills using many of the core Amazon Web Services (AWS) services. Ideal for beginners - absolutely no cloud computing experience is required! We use a highly visual and effective method of teaching cloud computing and AWS concepts using diagrams and animations (no bullet-point slides). There are lots of hands-on exercises using an Amazon Web Services (AWS) free tier account to help you gain practical experience. If you're interested in moving into a high-paying career working with cloud computing services - this is the best way to get started. You'll build knowledge from beginner level to advanced concepts, with plenty of opportunities to practice what you're learning. This course is an excellent way to get started with cloud computing and also serves as a great starting point for those planning to earn their AWS Certified Cloud Practitioner or AWS Certified Solutions Architect certifications (you will need additional courses aimed at those AWS certifications). Watch the intro video to learn how this course will help you gain a solid understanding of cloud computing on AWS. KEY SKILLS YOU WILL DEVELOP Learn fundamental concepts of cloud computing and including storage, database, networking, virtualization, containers, and cloud architecture Create an AWS Free Tier account and launch your first virtual servers (Amazon EC2 instances) on the AWS Cloud Configure elasticity, high availability and fault tolerance using Amazon EC2 Auto Scaling and Amazon Elastic Load Balancing Create and configure storage services and upload files and objects using Amazon EBS, Amazon EFS and Amazon S3 Launch a relational database on Amazon RDS and a NoSQL database using Amazon DynamoDB Automatically deploy infrastructure using code through AWS CloudFormation Create a Platform as a Service (PaaS) application on AWS Elastic Beanstalk Learn how to use DevOps tools on AWS to automate a continuous integration and continuous delivery (CI/CD) pipeline Implement serverless computing and Docker containers on AWS using AWS Lambda and Amazon ECS Create serverless event-driven architectures on Lambda Create loosely coupled services with Amazon SQS and Amazon SNS CORE TOPICS WE WILL COVER IN THIS CLOUD COMPUTING FUNDAMENTALS COURSE IT Fundamentals Gain an understanding of fundamental IT concepts, including: Client / server computing Storage concepts: block, file, and object IP addressing and subnetting basics Networking: routers and switches Server virtualization and Docker containers Application programming interfaces (APIs) Cloud Computing Concepts Learn about the key cloud computing concepts: Legacy / traditional IT vs cloud computing The advantages of cloud computing services Cloud computing examples Cloud computing service models (IaaS, PaaS, SaaS) Cloud computing deployment models (private cloud, public cloud, hybrid cloud, multicloud) Scaling up vs scaling out Load balancing High availability and Fault tolerance Monolithic vs microservices architectures AWS Access Control and Networking In this section you'll learn the basics of Amazon AWS and the AWS IAM and Amazon VPC: AWS Identity and Access Management (IAM) Creating AWS IAM users and groups Cloud networking - Amazon Virtual Private Cloud (VPC) Creating custom Amazon VPCs Cloud computing security - security groups and network ACLs Creating security groups and NACLs Amazon EC2, Auto Scaling, and Load Balancing Learn how to use Amazon AWS's IaaS platform and launch virtual servers on Amazon EC2: Launching Amazon EC2 instances Create a website on Amazon EC2 Using IAM Roles with EC2 Scaling with Amazon EC2 Auto Scaling Add high availability with Amazon Elastic Load Balancing AWS Storage Services Use block, file, and object storage on AWS: Amazon Elastic Block Store (EBS) and Instance Stores Amazon EBS snapshots and AMIs Amazon Elastic File System (EFS) Amazon Simple Storage Service (S3) AWS Databases Use managed database services in the AWS Cloud: Amazon Relational Database Service (RDS) Create Amazon RDS DB with a Read Replica Amazon DynamoDB Create a DynamoDB table Automation and DevOps on AWS Learn how to automate deployment and management on AWS and use the AWS Developer Tools: Deploy infrastructure as code using AWS CloudFormation Deploy a Platform as a Service (PaaS) application using AWS Elastic Beanstalk Continuous Integration and Continuous Delivery (CI/CD) AWS CodeCommit, CodePipeline, and CodeDeploy Create an AWS CodePipeline with AWS Elastic Beanstalk DNS, Caching, and Performance Optimization Use Amazon Route 53 for DNS resolution and domain registration Use the Amazon CloudFront content delivery network (CDN) AWS Global Accelerator Containers and Serverless Computing You'll learn about Docker containers and serverless computing: Docker Containers on Amazon ECS Serverless computing with AWS Lambda functions Application integration services and loose coupling Amazon EventBridge WHAT DO OTHER STUDENTS SAY? If you're new to cloud computing, this beginner-friendly course is the perfect place to get started. But don't just take our word for it - check out the excellent course reviews from thousands of happy students: "Great experience, clearly presented and lots of hands on practice demos" "Awesome, the flow of the session is very good; the trainer started from basics and then gradually moved to advanced topics. Highly recommended" "I am a second-year CS student at one of the best unis in the UK. This lecturer explained my whole network module in literally 20 mins and I understood more than in my uni lectures!" MEET YOUR INSTRUCTOR Hi, I'm Neal Davis, and I'm delighted to be your instructor for this AWS Developer course. As the founder of Digital Cloud Training, I'm deeply committed to providing top-quality AWS certification training resources. I created this beginner's course to help you understand core cloud computing concepts & the basics of AWS. With over 20 years of hands-on experience in the Cloud space, I'm excited to share my expertise with you on Udemy. OUR SUCCESS IN NUMBERS Over 750,000 students enrolled in our AWS courses on Udemy 4.7-star instructor rating from over 150,000 reviews Our students pass the AWS exam with an average score of over 85% MONEY-BACK GUARANTEE We are totally confident in the value of this course which comes with a 30-day unconditional money-back guarantee. Get lifetime access now - risk-free! [b]Who this course is for:[/b] Anyone keen to learn about cloud computing Ideal for newbies to cloud computing Professionals keen to explore cloud computing services Anyone interested in understanding Amazon Web Services (AWS) Aspiring developers who want to build applications on AWS Students keen to learn the fundamental concepts of cloud computing [center][img][Hidden Content]] [b]DOWNLOAD FROM RAPIDGATOR[/b] [Hidden Content] [b]DOWNLOAD FROM TURBOBIT[/b] [Hidden Content] [b]DOWNLOAD FROM NITROFLARE[/b] [Hidden Content] [b]If any links die or problem unrar, send request to[/b] [hide][Hidden Content]]

[center][img][Hidden Content]] [center][b]Appium -Mobile Testing (Android/IOS) from Scratch+Frameworks | Udemy [Update 11/2024][/b] English | Size: 9.3 GB Genre: eLearning[/center] [LATEST VERSION 2.0] Master on Mobile Apps Automation Testing from basics to Framework CI/CD with real time examples [b]What you'll learn[/b] By the end of this course you will be able to automate any (Native,Hybrid,Web) Apps in Android/IOS using Appium Thorough Understanding on Appium best practices and reusable utilities for automating Apps on both Real devices and Emulators Design the Industry Standard Mobile framework from Scratch which is compatible for both Android and IOS Platforms Implement end to end CI/CD pipeline from scratch using Appium with all framework features like logging, reporting etc Design Appium Framework with open source technologies like Learn Maven, TestNG, Jenkins, JUnit, Git, Extent Reports and Apache Log4J2 Automate Mobile Browsers like Chrome & Safari with Appium WebDriver Library under hood You will know the coding standards in writing the most optimized Mobile Automation Scripts You will be able to create GREAT LOOKING REPORTS using the best advanced REPORTING TOOL "Last but not least" you can clear any Interview and can Lead Entire Appium Automation Project from Design Stage Course Last Updated -Jan 3rd Appium 2.0 Version and Java V21. Top Rated/Ranked Popular APPIUM Course with Life time Q/A Support on Udemy with highest Students Enrollment "Learn Everything You Need to Know About Mobile Automation (Android+ IOS) Even If You've Never Programmed Before. 80,000+ Potential students already enrolled and 5 start reviews all the way On course completion You will be Mastered in Mobile Automation Testing in both Android&IOS and can implement Successfully it in your workplace or will surely land on High Paying Job ."Decide the Quality of Course by watching Preview Lectures and Students Reviews" What makes this Course Unique in the Market? Videos will be updated on regular basis based up on latest released versions of APPIUM This is the most Popular Appium course ever you will find online with Top User ratings I have explained every concept in great details from Scratch so that any one can master in this tool on course completion We will be designing and implementing Industry Standard frameworks using Appium with TestNG Maven, Jenkins, GitHub, Apache Log4J2, Extent Reports Detailed demonstration on end to end CI/CD implementation using Appium for both iOS and Android Understand parallel execution on real Android and iOS devices using Cloud Infrastructure Only course which explains many Appium tips and tricks needed to clear Interviews or complete the Assignments given in the projects High level Topics Include: Appium Features Appium Internal Architecture Configuration setup for running tests on Android and IOS Simulators/Emulators Configuration setup for running tests on Android and IOS real devices How to Automate Native (Android&IOS) Apps using Appium How to Automate Hybrid (Android&IOS) Apps using Appium In Depth explanation of Appium API's/comands and their usage Mobile Gestures Automation scroll,swipe, longpress, tap, Touch Actions using Appium Automating Browser Apps using Appium Tips in inspecting objects on Apps and Mobile browser with uiautomatorviewer and APpium Inspector Appium Hybrid Framework from Scratch with top design patterns designing and implementing Industry Standard frameworks using Appium with TestNG Maven, Jenkins, GitHub, Apache Log4J2, Extent Reports Appium Framework CI/D Integration Appium Cloud Automation on Browserstack Happy Testing! [b]Who this course is for:[/b] Manual testers, Non-programming aware testers interested in learning Automation Web Automation Testers who are already aware of Selenium Webdriver Any Software engineer who are interested in Mobile Technologies [center][img][Hidden Content]] [b]DOWNLOAD FROM RAPIDGATOR[/b] [Hidden Content] [b]DOWNLOAD FROM TURBOBIT[/b] [Hidden Content] [b]DOWNLOAD FROM NITROFLARE[/b] [Hidden Content] [b]If any links die or problem unrar, send request to[/b] [hide][Hidden Content]]

[center][img][Hidden Content]] [center][b]Advanced Excel - Top Excel Tips & Formulas | Udemy [Update 12/2024][/b] English | Size: 2.7 GB Genre: eLearning[/center] Master Advanced Excel Formulas. Solve Complex Problems. Learn Advanced Excel Skills to Save Time & Impress (Excel 2010) [b]What you'll learn[/b] Be a Confident & Advanced Microsoft Excel user Able to solve complex problems in Excel Learn new techniques and formulas to tackle tasks faster and better in Excel Apply the right tools for a given task instead of going to your go-to tools and making them work for every situation Reduce complexity of your spreadsheets If you're a business professional, who uses (or will be using Microsoft Excel) on a daily basis, this is the course for you! The Course will Help You Build a Strong Foundation in Excel & Solve Complex Problems Fast - This is How: Use my top 10 tips to save time Learn the top 10 formulas for quick and dynamic analysis This course includes a detailed downloadable PDF of the top 10 Tips & Formulas - together over 90 pages! Now you can READ, WATCH or do BOTH! The top 10 will increase your awareness of the most useful Excel features to work faster and smarter. Only when you know the extent and possibilities Excel offers you, only then are you able to handle any type of analysis with the best method. In Their Own Words: Carlo says: "Excellent course featuring loads of easily understood content. It helped me become very competent and comfortable with pivot tables along with a host of other functionality. It's easily understood and also easy to follow. Instructor speaks clearly and explains things well, very helpful so the information is easily retained." Sahar says: "Very very helpful tips. Anyone who uses Excel should learns these to let them get more benefits of the embedded functionalities." Steven says: "Well explained, excellent material and topics. Definitely very helpful for my everyday work." Advanced Excel skills are highly relevant in business. No matter which role you're currently in or you're planning to take on. Whether you'll be in Finance, consulting, IT, in project management, your advanced Excel skills will set you apart from the competition. What is the difference between an Advanced Excel and Average Excel user? An advanced Microsoft Excel user is aware of the tools and features available and can apply the right tools for the right task, instead of relying on their go-to tools and making them work for every situation. Advanced Excel users, always find the optimal solution for every task, and they find it fast! What differentiates this Microsoft Excel course from the others? The reason I created this specific Advanced Excel course, is because there are many advanced Excel users who are unaware of key features & formulas in Excel. I understand that when you take an Excel training it can be so broad, and a lot of courses cover too many topics. It's easy to get lost. You might also not immediately appreciate why some features are useful and how you can practically apply them. We are creatures of habit and it's difficult to get our head around learning new techniques. As a result you might be missing out on some features that can majorly simplify the way you use Excel. Differentiation factor #1 Focus - The top 10 brings focus to the key Excel features which will provide you with a solid & a strong foundation in Excel. Differentiation factor #2 Learn by doing - This Advanced Microsoft Excel course is well structured and organized. You can download my Excel Demo workbook which I use to demonstrate each feature and practice along with me. You can then do an exercise from the Excel Exercise workbook to test your knowledge. Real learning happens when you attempt to solve problems on your own. Answers are provided, but do ask any questions if you get stuck. Your questions will always be answered. Differentiation factor #3 Engaging - I have made every attempt to keep the course interesting and engaging by mixing talking head explanations with screencast demos. Each course is split by topic & feature. This allows you to easily pick what you want to learn now or review later. Summary My main goal in this training is to increase your awareness of the top tools and formulas in Excel to help you solve complex problems. Users are not aware of what they don't know. Only when you know the extent and possibilities Excel offers you, only then are you able to handle any type of analysis with the best method. Becoming advanced in Excel takes practice, readiness to learn new methods and willingness to apply these to practical cases. Take this course to get a head start! [b]Who this course is for:[/b] You currently use Microsoft Excel and want to improve your skills You want to be sure you have the Excel knowledge necessary to officially call yourself "advanced" You are a student, planning to take on a job that requires sound Excel knowledge You are a financial analyst who uses Excel on a daily basis and would like to learn if there is more to it than you currently know [center][img][Hidden Content]] [b]DOWNLOAD FROM RAPIDGATOR[/b] [Hidden Content] [b]DOWNLOAD FROM TURBOBIT[/b] [Hidden Content] [b]DOWNLOAD FROM NITROFLARE[/b] [Hidden Content] [b]If any links die or problem unrar, send request to[/b] [hide][Hidden Content]]

[center][img][Hidden Content]] [center][b]Mastering Angular + Ang 17 - 18 + Interview + E-commerce App | Udemy [Update 12/2024][/b] English | Size: 13.1 GB Genre: eLearning[/center] Build, Deploy & Get Job-Ready with Real-World App Skills & Interview Questions + Assignments, Angular 17 [b]What you'll learn[/b] Master Angular's architecture and its practical application. Develop complex, scalable web apps with Angular. Create responsive single-page applications (SPAs). Excel in data binding for dynamic user experiences. Facilitate seamless component communication. Hands-on eStore project implementation. Build a strong foundation for a frontend developer role. Organize and structure Angular code effectively. This course is meticulously crafted to enable you with the skills and knowledge necessary to outshine in the dynamic world of frontend programming and is designed for aspiring learners and professionals seeking to dive deep into Angular development. In this immersive unique learning experience, you will embark on a hands-on exploration of Angular, a cutting-edge JavaScript/TypeScript framework renowned for building complex, responsive, and scalable web applications. Whether you're a novice or have prior programming experience, this course will equip you with a profound understanding of Angular's architecture, along with the practical skills to harness its capabilities effectively. Here are the key features of this course: Comprehensive Angular Mastery → From architecture to deployment, become an Angular expert. Hands-On Learning → Gain practical skills through real-world projects and exercises. Responsive SPA Development → Learn to build adaptive single-page applications for diverse devices. Job-Ready Skills → Acquire the knowledge to excel as a frontend developer in the competitive market. Technologies used in this course: Angular (latest version 16+17) HTML5 CSS3 Bootstrap TypeScript Node.js (for development server) MySQL Git (version control) Angular CLI (Command Line Interface) Visual Studio Code (Code Editor) Key concepts covered: Introduction to Angular Architecture Directives and Components Databinding Techniques Routing and Navigation Angular Forms Angular Tokens Enhancing Data Display with Pipes Dependency Injection & Services Mastering Angular Modules Observables & RxJS RxJS Operators Handling HTTP Calls Major eStore Project Practical assignments and more ... Embark on this transformational learning experience and emerge as a proficient Angular developer, equipped with the skills to create, deploy, and excel in crafting exceptional web applications. Join us today and take a definitive step towards shaping a successful career in the world of web development. [b]Who this course is for:[/b] Anyone who wants to learn Angular - the heavyweight in front-end development. Junior & mid-level developers who want to enhance their Angular skills to the max! Expert developers who want to upgrade their existing Angular development skills. [center][img][Hidden Content]] [b]DOWNLOAD FROM RAPIDGATOR[/b] [Hidden Content] [b]DOWNLOAD FROM TURBOBIT[/b] [Hidden Content] [b]DOWNLOAD FROM NITROFLARE[/b] [Hidden Content] [b]If any links die or problem unrar, send request to[/b] [hide][Hidden Content]]

[center][img][Hidden Content]] [center][b]Apache Airflow: The Hands-On Guide | Udemy [Update 10/2024][/b] English | Size: 4.2 GB Genre: eLearning[/center] Master Apache Airflow from A to Z. Hands-on videos on Airflow with AWS, Kubernetes, Docker and more [b]What you'll learn[/b] Coding Production Grade Data pipelines by Mastering Airflow through Hands-on Examples How to Follow Best Practices with Apache Airflow How to Scale Airflow with the Local, Celery and Kubernetes Wxecutors How to Set Up Monitoring with Elasticsearch and Grafana How to Secure Airflow with authentication, crypto and the RBAC UI Core and Advanced Concepts with Pros and Limitations Mastering DAGs with timezones, unit testing, backfill and catchup Organising the DAG folder and keep things clean Apache Airflow is a platform created by the community to programmatically author, schedule and monitor workflows. It is scalable, dynamic, extensible, and modulable. Without any doubt, mastering Airflow is becoming a must-have and an attractive skill for anyone working with data. What you will learn in the course: Fundamentals of Airflow are explained such as what Airflow is, how the scheduler and the web server work The Forex Data Pipeline project is an incredible way to discover many operators in Airflow and deal with Slack, Spark, Hadoop, and more Mastering your DAGs is a top priority, and you can play with timezones, unit test your DAGs, structure your DAG folder, and much more. Scaling Airflow through different executors such as the Local Executor, the Celery Executor, and the Kubernetes Executor will be explained in detail. You will discover how to specialize your workers, add new workers, and what happens when a node crashes. A Kubernetes cluster of 3 nodes will be set up with Rancher, Airflow, and the Kubernetes Executor local to run your data pipelines. Advanced concepts will be shown through practical examples such as templating your DAGs, how to make your DAG dependent on another, what are Subdags and deadlocks, and more. You will set up a Kubernetes cluster in the cloud with AWS EKS and Rancher to use Airflow and the Kubernetes Executor. Monitoring Airflow is extremely important! That's why you will know how to do it with Elasticsearch and Grafana. Security will also be addressed to make your Airflow instance compliant with your company. Specifying roles and permissions for your users with RBAC, preventing them from accessing the Airflow UI with authentication and password, data encryption, and more. In addition: Many practical exercises are given along the course so that you will have occasions to apply what you learn. Best practices are stated when needed to give you the best ways of using Airflow. Quiz are available to assess your comprehension at the end of each section. Answering your questions fast is my top priority, and I will do my best for you. I put a lot of effort into giving you the best content, and I hope you will enjoy it as much as I wanted to do it. At the end of the course, you will be more confident than ever in using Airflow. I wish you a great success! Marc Lamberti [b]Who this course is for:[/b] Data Engineers Inspiring Data Engineers DevOps Software Engineers Data Scientists [center][img][Hidden Content]] [b]DOWNLOAD FROM RAPIDGATOR[/b] [Hidden Content] [b]DOWNLOAD FROM TURBOBIT[/b] [Hidden Content] [b]DOWNLOAD FROM NITROFLARE[/b] [Hidden Content] [b]If any links die or problem unrar, send request to[/b] [hide][Hidden Content]]

[center][img][Hidden Content]] [center][b]IBM Cybersecurity Analyst Professional Certificate | Coursera [Update 12/2024][/b] English | Size: 5.43 GB Genre: eLearning[/center] Launch your career as a cybersecurity analyst . Build job-ready skills for an in-demand role in the field, no degree or prior experience required. [b]What you'll learn[/b] The job-ready skills you need to get an entry-level position as a cybersecurity analyst in just 4-6 months. Cybersecurity fundamentals and how to manage database vulnerabilities in operating systems administration and security. How to use cybersecurity tools and techniques to perform penetration testing, respond to incidents, and conduct forensics. How to use generative AI to boost your productivity and effectiveness as a cybersecurity analyst. [b]Professional Certificate - 14 course series[/b] The global demand for cybersecurity professionals is set to surge by 6 million (Cybercrime Magazine). This IBM Professional Certificate gives you the essential skills you need to get your first job as a cybersecurity analyst. What do cybersecurity analysts do? Cybersecurity analysts protect an organization's systems and networks by monitoring for security breaches, analyzing threats, and implementing defensive measures to prevent cyberattacks. During this program, you'll explore cybersecurity essentials, tools, and technologies, and learn about cyberattacks, operating systems, and networking fundamentals. You'll dive into database fundamentals and vulnerabilities, cybersecurity architecture, compliance frameworks, standards, and regulations. You'll explore using gen AI for cybersecurity. Plus, you'll discover tools and strategies for job search, resume building, and interview preparation to kickstart your career. You'll gain valuable hands-on experience in penetration testing, incident response, forensics, and threat intelligence. Plus, you'll work on real-world projects developing cybersecurity plans and compliance frameworks, giving you great practical work to talk about in interviews. Once you've successfully completed this program, you'll have an IBM Professional Certificate and digital badge showcasing skills you can add to your resume. Enroll today and prepare to launch your cybersecurity career in less than 6 months! [b]Applied Learning Project[/b] This Professional Certificate is specifically designed to help you build the practical experience that employers look for. Throughout the program, you'll work on hands-on labs and projects that fine-tune your new competencies. This practical work will enable you to: Build applied skills for incident response & forensics through real-world cybersecurity case studies. Gain hands-on practice using industry-specific security tools. Demonstrate how to apply cybersecurity industry standards and best practices to mitigate risks, enhance security, and ensure compliance through audit processes. Apply incident response methodologies. Work with generative AI tools that boost your cybersecurity effectiveness and productivity. Showcase your ability to investigate a real-world security breach by identifying the attack, vulnerabilities, costs, and prevention recommendations. This program is ACE® approved and FIBAA recommended - you can earn up to 10 degree credits & up to 4 ECTS credits. [center][img][Hidden Content]] [b]DOWNLOAD FROM RAPIDGATOR[/b] [Hidden Content] [b]DOWNLOAD FROM TURBOBIT[/b] [Hidden Content] [b]DOWNLOAD FROM NITROFLARE[/b] [Hidden Content] [b]If any links die or problem unrar, send request to[/b] [hide][Hidden Content]]

[center][img][Hidden Content]] [center][b]The Complete Hands-On Introduction to Apache Airflow | Udemy [Update 10/2024][/b] English | Size: 1.2 GB Genre: eLearning[/center] Learn to author, schedule and monitor data pipelines through practical examples using Apache Airflow [b]What you'll learn[/b] Create plugins to add functionalities to Apache Airflow. Using Docker with Airflow and different executors Master core functionalities such as DAGs, Operators, Tasks, Workflows, etc Understand and apply advanced concepts of Apache Airflow such as XCOMs, Branching and SubDAGs. The difference between Sequential, Local and Celery Executors, how do they work and how can you use them. Use Apache Airflow in a Big Data ecosystem with Hive, PostgreSQL, Elasticsearch etc. Install and configure Apache Airflow Think, answer and implement solutions using Airflow to real data processing problems Apache Airflow is an open-source platform to programmatically author, schedule and monitor workflows. If you have many ETL(s) to manage, Airflow is a must-have. In this course you are going to learn everything you need to start using Apache Airflow through theory and pratical videos. Starting from very basic notions such as, what is Airflow and how it works, we will dive into advanced concepts such as, how to create plugins and make real dynamic pipelines. [b]Who this course is for:[/b] People being curious about data engineering. People who want to learn basic and advanced concepts about Apache Airflow. People who like hands-on approach. [center][img][Hidden Content]] [b]DOWNLOAD FROM RAPIDGATOR[/b] [Hidden Content] [b]DOWNLOAD FROM TURBOBIT[/b] [Hidden Content] [b]DOWNLOAD FROM NITROFLARE[/b] [Hidden Content] [b]If any links die or problem unrar, send request to[/b] [hide][Hidden Content]]

[center][img][Hidden Content]] [center][b]The Complete Microservices & Event-Driven Architecture | Udemy [Update 12/2024][/b] English | Size: 950 MB Genre: eLearning[/center] Master Modern Software Architecture. Design Highly Scalable Systems using Microservices & Event-Driven Architecture [b]What you'll learn[/b] Design and Architect Modern Systems using Microservices & Event-Driven Architecture Migrate Legacy Monolithic Architecture to Microservices Architecture Developer, Test, Deploy & Troubleshoot Microservices in Production Apply Industry-Proven Best Practices & Design Patterns for Modern Software Architecture Do you want to learn the two most popular and modern software architecture styles? Are you looking to grow your career to the role of a Technical Lead or Software Architect? You came to the right place! Taught by an Ex-Google Software Engineer and a Software Architect with real, hands-on experience with Large Scale Systems and Microservices Architecture, this is the most comprehensive and up-to-date course on Microservices and Event-Driven Architecture. The combination of Microservices Architecture and Event-Driven Architecture is the biggest contributor to the success of top-tech companies like Google, Amazon, Netflix, Airbnb, Uber, Spotify, eBay, and many others. This course will teach you all the core principles, design patterns, and industry-proven best practices to apply Microservices and Event-Driven Architecture to your system. Throughout the course, you will learn to: Migrate a Legacy Monolithic Application to Microservices Architecture Design scalable, reliable, and loosely-coupled Microservices Test and Deploy Microservices to production using Cloud Computing, Serverless, and Container Technologies like Kubernetes. In addition, this course includes many: Real-world examples. Detailed software architecture diagrams. Links to external resources and technologies. Quizzes to help you test your knowledge A downloadable workbook to take notes and review the material By the end of the course, you'll be able to: Help your organization save costs and increase efficiency by using Microservices and Event-Driven Architecture Follow industry-proven design principles for architecting scalable and reliable Microservices Apply your knowledge to System Design Interviews This course is for you If: You are an experienced software engineer and want to take your career toward the role of a Technical Lead or Software Architect You want to help your company cut costs, increase scalability, and improve its software architecture by migrating to microservices. You are preparing for a System Design Interview at top tech companies that run large-scale systems. So what are you waiting for? :) Let's get started! FAQ - "My company doesn't use Microservices. Should I still take this course?" Yes! Microservices Architecture and Event-Driven Architecture are core skills for any senior software engineer and software architect. Once your company is ready to migrate to Microservices Architecture, you will play a vital role in this transition. Your knowledge and skills will help your company migrate successfully, avoiding all the common pitfalls and anti-patterns. This will help your company save a lot of money, which will ultimately help grow your career. - "There are many other courses on Microservices Architecture. How is this course different?" Unfortunately, many courses on Microservices follow (and sometimes even copy) widely available articles and often outdated purely theoretical books without necessarily having the real-world experience to distill what is important and correct. In this course, I bring you years of my personal experience working on large-scale systems at companies like Google and Maginte (formally Rubicon Project), as well as the most up-to-date lessons of thousands of industry leaders and software architects, sharing knowledge in the most prestigious software architecture conferences. This course will bring you real-world knowledge that you can confidently apply in practice within your company. - "Does this course involve any coding?" No. This is a Software Architecture course primarily focused on Microservices Architecture. It is not a programming course. The skills you learn in this course are applicable to any programming language, cloud vendor, or technology stack. One of the main advantages of this approach is while technologies get outdated very fast, the knowledge you get from this course will last you for many years and will be equally applicable to any company you work for. - "Does the course have any prerequisite?" The only prerequisite is a few years of software development experience. Taking the Software Architecture & Design of Modern Large Scale Systems or having some software architecture experience is recommended but not required. This course will teach you everything you need about Microservices Architecture and Event-Driven Architecture. [b]Who this course is for:[/b] Anyone interested in modern Software Architecture Software Developers who want to grow their career to a Tech Lead or Software Architect role Software Engineers preparing for System Design Interviews at top tech companies [center][img][Hidden Content]] [b]DOWNLOAD FROM RAPIDGATOR[/b] [Hidden Content] [b]DOWNLOAD FROM TURBOBIT[/b] [Hidden Content] [b]DOWNLOAD FROM NITROFLARE[/b] [Hidden Content] [b]If any links die or problem unrar, send request to[/b] [hide][Hidden Content]]

[center][img][Hidden Content]] [center][b]The Comprehensive MySQL Course | Udemy [Update 11/2024][/b] English | Size: 2.01 GB Genre: eLearning[/center] MySQL Bootcamp: Journey From Beginner to Avanced! [b]What you'll learn[/b] MySQL Become proficient in SQL Relational Database Design Students will be able to apply SQL to real world problems Boost your CV with one of the most in-demand skills in the data analysis and software development professions Apply what you've learnt across different database management systems This course has been completely re-done Want to learn one of the most in-demand skills in the business and technology sector? Then this course is perfect for you! SQL is one of the most in demand programming languages in the world. It's the language used to communicate with Relational Databases. In addition to the extremely popular relational databases such as MySQL, Microsoft SQL Server and Oracle Databases more and more platforms new and old are supporting SQL including Amazon Redshift, Databricks, Snowflake, Google BigQuery and the list goes on and on. According to IEEE Spectrum - SQL is the top programming language when it comes to its "Jobs" ranking. This course has been designed for: Individuals with no prior experience in SQL and looking to make that step to develop their skills in this highly sought after programming language Those with some experience looking to brush up on their SQL knowledge We will be using MySQL which is one of the most widely used relational databases in the world. The version we'll be using is open source and completely free. Although we will be using MySQL the course has been designed to highlight key differences between some of the main Database Management Systems such as Oracle, Postgre and Microsoft SQL Server, so what you learn in this course can be applied across all platforms supporting SQL. The lectures in this course are arranged in a logical flow and delivered as short, bite-sized videos. The course is designed to be comprehensive, but also concise in order to make the learning experience as easy as possible. Every major section of the course will be rounded off coding challenges and dedicated assignment sections to give you an opportunity to develop your practical skills. [b]Who this course is for:[/b] Beginners looking to learn SQL Individuals with prior SQL knowledge looking to refresh their SQL skills Individuals looking to pursue a career in software engineering, business intelligence or data analysis [center][img][Hidden Content]] [b]DOWNLOAD FROM RAPIDGATOR[/b] [Hidden Content] [b]DOWNLOAD FROM TURBOBIT[/b] [Hidden Content] [b]DOWNLOAD FROM NITROFLARE[/b] [Hidden Content] [b]If any links die or problem unrar, send request to[/b] [hide][Hidden Content]]