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Minimal APIs Deep Dive in ASP.NET Core 10 | Pluralsight English | Size: Genre: eLearning Go beyond the basics of ASP.NET Core minimal APIs. This course teaches you advanced patterns for filters, validation, OpenAPI, versioning, streaming, and mapping in production-scale APIs. What you'll learn Building production-ready minimal APIs requires more than defining endpoints-it demands a solid understanding of architecture, routing, validation, versioning, and API documentation. In this course, Minimal APIs Deep Dive in ASP.NET Core 10, you'll gain the ability to architect and optimize minimal APIs for real-world, production-scale scenarios. First, you'll explore how minimal APIs work under the hood, including the RequestDelegateFactory, endpoint routing, and the middleware pipeline. Next, you'll discover composable endpoint groups with layered conventions, source-generator-based mapping with Mapperly, reusable endpoint filter chains, and centralized validation and error handling strategies. Finally, you'll learn how to customize OpenAPI generation with document and operation transformers, implement API versioning with version-specific specifications, and stream responses with IAsyncEnumerable and server-sent events. When you're finished with this course, you'll have the skills and knowledge of ASP.NET Core minimal API architecture needed to make informed decisions and build robust, well-documented APIs for production environments. DOWNLOAD FROM RAPIDGATOR DOWNLOAD FROM TURBOBIT If any links die or problem unrar, send request to

Identifying Benefits, Capabilities, and Opportunities for Microsoft's AI Apps and Services (AB-731) | Pluralsight English | Size: Genre: eLearning AI adoption stalls when business leaders can't evaluate options or build the case for investment. This course will teach you how to identify the business value of Microsoft Copilot and Foundry Tools and map them to real organizational needs. What you'll learn Most organizations are already paying for Microsoft 365 licenses that include built-in AI capabilities, yet business leaders lack the framework to evaluate options, justify the investment, and govern adoption with confidence. In this course, Identifying Benefits, Capabilities, and Opportunities for Microsoft's AI Apps and Services (AB-731), you'll gain the ability to assess Microsoft's AI portfolio and make informed, confident adoption decisions aligned to real business needs. First, you'll explore the Microsoft Copilot ecosystem and understand the differences between Copilot versions. Next, you'll discover how to extend and customize Copilot using Copilot Studio and Microsoft Graph, and apply responsible AI principles to protect your organization. Finally, you'll learn how to evaluate Microsoft Foundry Tools, including Azure Vision, Azure Language, Azure Document Intelligence, and Azure AI Search, and match them to business scenarios. When you're finished with this course, you'll have the skills and knowledge of Microsoft's generative AI solutions needed to evaluate, recommend, and govern AI adoption across your organization with clarity and confidence. DOWNLOAD FROM RAPIDGATOR DOWNLOAD FROM TURBOBIT If any links die or problem unrar, send request to

Package Management and System Services on Amazon Linux | Pluralsight English | Size: Genre: eLearning Not all Linux environments work quite the same way, especially when they're running in the cloud. This course will teach you what you need to know about managing software repos and system services in AWS's own Amazon Linux 2023 instance images. What you'll learn Handling software packages and system services in the AWS cloud on Amazon Linux 2023 instances has its quirks. In this course, Package Management and System Services on Amazon Linux, you will gain the ability to confidently manage software repos and services. First, you'll explore using DNF to install and manage software packages. Next, you'll discover how to administrate your use of upstream repositories. Finally, you'll learn how to create custom systemd services. When you're finished with this course, you'll have the skills and knowledge of package and service management needed to successfully administer your Amazon Linux 2023 systems. DOWNLOAD FROM RAPIDGATOR DOWNLOAD FROM TURBOBIT If any links die or problem unrar, send request to

ICAgile Certified Professional (ICP) - Agile Fundamentals | Udemy [Update 06/2026] English | Size: Genre: eLearning 2 days left!Consistency is key | Get started with courses from $12.99 until June 18. What you'll learn: Understand Agile mindset, values, principles, and the Agile Manifesto foundations Apply Agile concepts such as empiricism, feedback loops, continuous learning, and value delivery Understand Scrum and Kanban fundamentals, including roles, events, flow, and work management Create effective User Stories, Acceptance Criteria, and prioritized Product Backlogs Use Agile planning and estimation techniques such as Story Points, Planning Poker, and forecasting Build high-performing Agile teams through collaboration, self-organization, and psychological safety Identify common Agile anti-patterns and improve Agile adoption in real-world organizations Develop practical Agile skills that support ICP certification preparation and professional growth Disclaimer: This course contains the use of artificial intelligence and is an independent educational resource that is not endorsed by, sponsored by, or affiliated with ICAgile. Coupon Code: Apply the monthly Coupon Code using the format MONTHYEAR - for example,JUNE2026 to access a special discount. About SAFe® RTE Course: ICAgile Certified Professional (ICP) - Agile Fundamentals course is designed for professionals who want to build a strong foundation in Agile thinking, regardless of their role, industry, or previous Agile experience. The course covers all topics provided by ICAgile Certified Professional (ICP) - Agile Fundamentals. Unlike courses that focus heavily on a specific framework, this course helps you understand the mindset, values, principles, and behaviors that make Agile successful. You will learn not only how Agile works, but why it works. We begin by exploring the Agile mindset and the challenges Agile was created to solve. You'll understand the differences between traditional and Agile thinking, learn about complexity and empiricism, and discover what it truly means to be Agile rather than simply doing Agile. From there, we dive into the Agile Manifesto, its values and principles, and how they influence decision-making in real-world environments. You will then learn how Agile teams create value through concepts such as customer-centricity, feedback loops, Build-Measure-Learn cycles, validation of assumptions, and continuous learning. The course also covers Agile teams and collaboration, including cross-functional teams, self-organization, psychological safety, accountability, servant leadership, and effective teamwork. To provide practical context, we explore Scrum fundamentals, Scrum roles, events, artifacts, and common anti-patterns. You will also learn Kanban principles, flow management, work-in-progress limits, pull systems, lead time, cycle time, and continuous delivery concepts. Additional sections focus on user stories, acceptance criteria, backlog management, Agile planning, estimation techniques, Planning Poker, velocity, forecasting, retrospectives, continuous improvement, and real-world Agile challenges. By the end of this course, you will be able to: 1. Understand Agile values, principles, and mindset 2. Apply empiricism and feedback-driven learning 3. Understand Scrum and Kanban fundamentals 4. Create effective user stories and acceptance criteria 5. Prioritize work based on value and customer needs 6. Participate effectively in Agile teams 7. Use Agile planning and estimation techniques 8. Facilitate continuous improvement and retrospectives 9. Recognize common Agile anti-patterns and challenges 10. Apply Agile concepts confidently in real-world environments Whether you are a Project Manager, Product Owner, Scrum Master, Business Analyst, Team Lead, Developer, Tester, Agile Coach, or someone beginning your Agile journey, this course will provide the knowledge and practical understanding needed to build a strong Agile foundation. Join us and develop the mindset, principles, and practical skills that enable individuals and organizations to become truly Agile. Who this course is for: Professionals who want to build a strong foundation in Agile principles and practices Aspiring Agile Practitioners preparing for the ICAgile Certified Professional (ICP) learning journey Project Managers, Team Leads, Product Owners, Scrum Masters, and Business Analysts Developers, Testers, Designers, and other team members working in Agile environments Managers and leaders seeking to understand Agile teams, collaboration, and value delivery Anyone transitioning from traditional project management to Agile ways of working Students and career changers looking to develop in-demand Agile knowledge and skills DOWNLOAD FROM RAPIDGATOR DOWNLOAD FROM TURBOBIT If any links die or problem unrar, send request to

Detecting AI-driven Attacks | Pluralsight English | Size: Genre: eLearning Cybercriminals are increasingly using AI to developing phishing attacks, write malware, and automate attacks. This course will teach you to identify signs of AI-generated content and mitigate the threat. What you'll learn AI makes cyberattacks faster and more scalable, making some traditional defenses ineffective. In this course, Detecting AI-driven Attacks, you'll gain the ability to identify the signs of AI in attack traffic and content. First, you'll explore how AI is used to enhance phishing attacks. Next, you'll discover how to detect automated attacks in network traffic. Finally, you'll learn how to see the signs of AI-written malware. When you're finished with this course, you'll have the skills and knowledge of AI-driven attacks needed to develop detective and defensive security controls. DOWNLOAD FROM RAPIDGATOR DOWNLOAD FROM TURBOBIT If any links die or problem unrar, send request to

AI Coding for Real Engineers | AI Hero English | Size: Genre: eLearning A two-week cohort for developers who want to use AI coding tools on real production-style work: context gathering, planning, steering, feedback loops, AFK agents, and human-in-the-loop review. Do you use AI coding tools? I do. Using AI to write software every single day for months has taught me a lot. It's changed some of my opinions, and significantly upgraded the way I think about modern software engineering. Here's two things I've learned AI can be both overhyped and powerful. It's extraordinarily useful, when handled correctly. AI is a call for devs like us to deepen & upgrade our fundamental skillset: engineering. AI coding can help devs like you produce code faster, better, more useful than before.and code that's potentially much more dangerous, too. Technical debt. Wasted time, energy, and effort. A tool like Claude Code can be your best friend, or the worst teammate you've ever had. It's all in how you use it. First step: Analyze like an engineer Production environments - especially existing codebases - require a professional approach. Fancy tools can't eliminate engineering. In fact, the better the tools get, the wider the gulf gets between vibe coders and real engineers. A real engineer knows the real work of software development has never been lines of code. They know that engineering happens in the brain, not the IDE. You, the engineer, have got to have a plan to prevent Data loss or destruction Non-compliance with industry or corporate standards Breaking changes subtle enough to escape notice until it's too late Most existential of all: getting stuck in the mud as you lose your "sense" for a codebase That last one should really be on ALL of our minds, because losing this sense isn't just an emotional reaction. It's a genuine cognitive loss that leads to a loss of understanding, team confusion, and the kind of overwhelm that does real (and possibly long term) damage to devs and their teams. These are high stakes, and the costs can be staggering. But these problems aren't new problems, even though they're accelerated by new tools. Software developers like you have faced these same challenges with every innovation: from scripting languages to GUIs to advanced web frameworks, from outsourcing to distributed computing. This is the legacy of engineering: our tools are always changing. And we're always adapting. We can use these new tools to accelerate new solutions, too. That's why real engineering skills matter, today, tomorrow, and forever. Second step: Think like an engineer A real engineer knows their tools intimately: what a tool is good for, how and where it excels, where it fails or falters, and how it breaks. And, as an engineer, you should know that while AI is a new and unusual tool. it's still a tool. One you must fit intentionally into your professional software development process. You can build the process that makes these tools trustworthy. These are the core engineering skills you'll need to get the most out of Claude Code, or any AI-coding assistant Communicating: clearly sharing your thoughts, ideas, observations, requirements Anticipating: quickly identifying potential problems before they happen Planning: reliably turning huge chunks of work into well-formatted PRDs Decomposing: thoughtfully breaking down big plans into well-scoped, iterative tasks Delegating: confidently knowing what & how to offload tasks Systematizing: consistently building feedback loops that produce quality outputs (types, tests, & reviews) Parallelizing: mindfully balancing quality assurance and coding, for maximum productivity These aren't new ideas. This is engineering. And I'll let you in on a little secret: these higher-order skills apply just as much to working effectively with people, not just coding agents. Real engineering is the only way to generate safe, worthwhile, long-lasting code. by hand, or with AI tools. If you don't use these skills - or you don't consistently use these skills - in your dev process today, today is the day to learn how. And if you do use these skills today, writing code by hand, now's the time to learn how you can apply them with Claude Code. The way you produce lines of code may change, but the core fundamentals of producing well-engineered software is eternal. Your engineering skills make the difference between success and failure, enhanced productivity and technical debt at speed, safe code and code that risks everything. Now: Learn to use AI coding like a real engineer When you practice real engineering, you unlock the power of Claude Code. For example, I've always dreamed about building the perfect course creator, designed specifically for my personal course development process. From keeping my ideas organized, to the actual recording and editing process. I just knew that the right piece of software could let me focus more on making the learning experience amazing. But this is my livelihood. It couldn't just be a vibe coded weekend project. I needed a reliable, professional grade tool, and knew that justifying that kind of time investment never made sense. So for multiple years, that tool remained a pipe dream, with many aborted attempts. But since I've started using Claude Code with Ralph loops, I've shipped over 1,000 commits, and created and closed over 500 of my own issues. Today, my professional-grade course creator includes things I never imagined possible a full in-browser video editor AI writing assistant with 14 unique modes Dropbox/CMS/YouTube/X/LinkedIn sync It's all powered by TypeScript (obviously), and backed by the amazing Effect.ts library. And here's the kicker: I built everything in my spare time, while running my business and enjoying life as the loving dad of my 2-year old. I want to share that power with you. So I went into brainstorm mode, and asked myself What do developers need to become engineers empowered by Claude Code? And that's how AI Coding for Real Engineers came to be. I designed a new 2-week course for you, where you will. learn & refresh timeless engineering skills update your engineering skills to include a new AI-assisted development workflow You'll learn the fundamentals of how Claude Code works, what it can & can't do, how to prep your work, manage and steer it with token-efficient but reliable rules, keep your projects on track and on spec, test outputs, and ensure quality at every step. You'll learn how you can fit Claude Code into a real-world production environment, with an existing codebase and procedures. And you'll experience how correctly wielding a powerful tool like Claude Code can strengthen your abilities and deepen your understanding of your codebase. DOWNLOAD FROM RAPIDGATOR DOWNLOAD FROM TURBOBIT If any links die or problem unrar, send request to

User Research (UX): Analyzing and Synthesizing Findings | Pluralsight English | Size: Genre: eLearning Raw research data is only valuable if you can make sense of it. This course will teach you how to analyze and synthesize user research into clear, evidence-based insights. What you'll learn Collecting user research is only half the challenge-turning interviews, observations, and usability tests into actionable insights is where many teams struggle. Without a structured approach, analysis becomes overwhelming, and findings fail to drive stakeholder decisions. In this course, User Research (UX): Analyzing and Synthesizing Findings, you'll gain the ability to transform raw research data into clear, defensible insights that drive confident product decisions. First, you'll explore how to organize and cluster observations using affinity mapping to surface patterns. Next, you'll distinguish the critical distinction between observations, findings, and insights and learn how to build an evidence chain that gives your conclusions credibility. Finally, you'll learn how to synthesize themes, identify contradictions, gaps, and opportunities, and prepare your findings for stakeholder communication. When you're finished with this course, you'll have the skills and knowledge needed to consistently produce insights that are grounded in evidence and ready to inform product decisions. DOWNLOAD FROM RAPIDGATOR DOWNLOAD FROM TURBOBIT If any links die or problem unrar, send request to

Applying Terraform in AWS Environments | Pluralsight English | Size: Genre: eLearning Configure and troubleshoot the Terraform AWS provider in real world scenarios. This course will teach you to evaluate authentication, state management, and workflow outputs for production AWS environments. What you'll learn Working with Terraform in AWS goes beyond writing basic configurations. Production environments demand a solid understanding of how the provider authenticates, how state tracks your infrastructure, and what Terraform's output is telling you. In this course, Applying Terraform in AWS Environments, you'll gain the ability to evaluate Terraform workflows for managing AWS infrastructure as code. First, you'll explore how the AWS provider authenticates. Next, you'll discover how Terraform state tracks AWS resources, how drift is detected, and how remote state with S3 native locking protects your team. Finally, you'll learn how to interpret Terraform init, plan, and apply outputs to predict infrastructure changes and troubleshoot errors. When you're finished with this course, you'll have the skills and knowledge of Terraform AWS workflows needed to confidently operate Terraform in AWS environments, troubleshoot provider and state issues, and make informed decisions from workflow output. DOWNLOAD FROM RAPIDGATOR DOWNLOAD FROM TURBOBIT If any links die or problem unrar, send request to

Applying Terraform in Azure Environments | Pluralsight English | Size: Genre: eLearning Master repeatable Azure deployments with Terraform. This course will teach you how to authenticate safely, manage remote states, and plan changes to reduce drift and avoid production-impacting mistakes. What you'll learn Organizations often use Terraform in Azure but still run into drift, failed deployments, and risk from manual changes and weak state practices. In this course, Applying Terraform in Azure Environments, you'll gain the ability to deploy Azure infrastructure safely in a repeatable way with Terraform. First, you'll explore Azure scoping and how Terraform interacts with ARM. Next, you'll discover AzureRM provider setup, OIDC authentication, and secure remote state in Blob Storage. Finally, you'll learn how to review plans, resolve common deployment failures, and correct drift with refresh and import. When you're finished with this course, you'll have the skills and knowledge of Terraform on Azure needed to deliver consistent, controlled Azure infrastructure changes with Terraform DOWNLOAD FROM RAPIDGATOR DOWNLOAD FROM TURBOBIT If any links die or problem unrar, send request to

Measuring Reliability: SLIs, SLOs, and SLAs | Pluralsight English | Size: Genre: eLearning Learn to measure what matters in SRE. This course will teach you to design SLIs that capture user experience, set realistic SLOs, and integrate service level management into your organization's workflows. What you'll learn Services that pass all internal health checks can still leave users frustrated. In this course, Measuring Reliability: SLIs, SLOs, and SLAs, you'll gain the ability to design and implement meaningful SRE reliability measurements. First, you'll explore the distinctions between SLIs, SLOs, and SLAs and how to map critical user journeys. Next, you'll discover how to craft precise SLIs using the 'Good Events' ratio and set data-driven SLO targets. Finally, you'll learn how to operationalize reliability through dashboards, alerting strategies, and error budget policies. When you're finished with this course, you'll have the skills and knowledge of service level management needed to make reliability visible, actionable, and organization-wide. DOWNLOAD FROM RAPIDGATOR DOWNLOAD FROM TURBOBIT If any links die or problem unrar, send request to

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Ultimate AWS Certified Developer Associate 2025 DVA-C02 | Udemy [Update 08/2025]

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[center][img][Hidden Content]] [center][b]Complete Agentic AI Bootcamp With LangGraph and Langchain | Udemy [Update 07/2025][/b] English | Size: 34.79 GB Genre: eLearning[/center] Learn to build real-world AI agents, multi-agent workflows, and autonomous apps with LangGraph and LangChain What you'll learn Understand the core principles of Agentic AI and how to design intelligent, autonomous agents for real-world tasks. Master building AI agents using LangGraph, including creating workflows, managing agent state, memory, and event-driven behavior. Develop and deploy multi-agent collaborative systems that can communicate, reason, and solve complex problems together. Implement hands-on projects to create powerful agentic applications like autonomous research agents, task automation systems, and knowledge retrieval assistants. Are you excited about the future of AI where intelligent agents can think, act, and collaborate to solve complex tasks autonomously? Welcome to the Complete Agentic AI Bootcamp with LangGraph and LangChain — your one-stop course to master the art of building agentic AI applications from scratch! This course is designed to teach you everything you need to know about Agentic AI, LangGraph, and LangChain — two of the most powerful frameworks for building intelligent AI agents and multi-agent systems. You will start by understanding the fundamentals of Agentic AI — how it differs from traditional AI models, the key components of agents (memory, tools, decision-making), and real-world use cases. We will then dive deep into LangGraph, a cutting-edge framework that helps you design complex agent workflows using graphs, events, and state transitions. You’ll also learn how to combine LangChain's power with LangGraph to build production-ready agent applications. Throughout the course, you will build real-world projects step-by-step, including: Creating single intelligent agents with memory and tool-usage capabilities. Designing multi-agent collaboration systems with message passing and shared goals. Implementing autonomous research assistants, task automation bots, and retrieval-augmented generation (RAG) agents. You will not just learn theory — you will build and deploy multiple end-to-end agentic applications, gaining real-world experience in constructing powerful AI systems. By the end of this course, you will have the skills and confidence to create your own AI agents and deploy complex agentic applications for various domains like search, research, task planning, customer support, and beyond. What You Will Learn: Core concepts behind Agentic AI and how intelligent agents operate. Hands-on mastery of LangGraph and LangChain for building agent systems. Building autonomous, event-driven AI workflows with memory, reasoning, and tools. Deploying and optimizing single-agent and multi-agent applications. Real-world project experience with RAG agents, auto-research agents, and more. Why Take This Course? Hands-on, Project-Based Learning: Build actual AI agent applications, not just toy examples. Complete and Beginner-Friendly: Designed to take you from beginner to advanced agent builder. Real-World Skills: Learn techniques that companies are starting to use for next-generation AI products. Cutting-Edge Technologies: Master the latest innovations in AI agent orchestration with LangGraph and LangChain. If you are a developer, data scientist, AI/ML engineer, or tech enthusiast looking to future-proof your skills and build cutting-edge AI applications, this is the course for you! Enroll now and start building the future with intelligent AI agents today! Who this course is for: AI/ML Engineers and Developers who want to build advanced AI agent workflows and autonomous applications. Data Scientists and Researchers looking to integrate agentic behavior into their data-driven projects. Tech Enthusiasts and Students eager to explore the next generation of AI application development with practical hands-on projects. Software Engineers interested in learning how to orchestrate multi-agent systems using modern frameworks like LangGraph. [center][img][Hidden Content]] DOWNLOAD FROM RAPIDGATOR [hide][Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content]] DOWNLOAD FROM TURBOBIT [hide][Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content]] If any links die or problem unrar, send request to [hide][Hidden Content]]

[center][img][Hidden Content]] [center][b]Cryptocurrency Algorithmic Trading with Python and Binance | Udemy[/b] English | Size: 10.74 GB Genre: eLearning[/center] Create powerful Trading Strategies and fully automated AWS Trading Bots for Bitcoin & co. | Spot and Futures Trading [b]What you'll learn[/b] Build automated Crypto Trading Bots with Python, Binance and Amazon Web Services (AWS) Spot Trading and Futures Trading Create powerful and unique Crypto Trading Strategies Rigorous Testing of Strategies: Backtesting, Forward Testing and live Testing (Paper Trading) Deep Dive into the Binance API (Spot & Futures) API Trading with Binance and many other Exchanges (Coinbase, Kraken & co.) Truly Data-driven Trading and Investing Margin Trading (Leverage) Understand Trading: Order Types, Commissions, Bid-Ask-Spread, Slippage, Liquidation, etc. Load Historical Market Data (Price, Volume and more) from Crypto Spot & Futures Markets 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 Fully automate and schedule your Trades on a virtual Server in the AWS Cloud Stream high-frequency real-time Cryptocurrency Data Understand, analyze, control and limit Trading Costs ***Course fully revised and updated in October 2024*** Welcome to the most comprehensive Algorithmic Trading Course for Cryptocurrencies. It´s the first 100% Data-driven Crypto Trading Course! Learn how some of the most successful Crypto Traders and Investors make Profits. In this rigorous but yet practical Course, we will leave nothing to chance, hope, vagueness, or pure intuition! And it´s the most detailed course on the Binance API. Other Exchanges like Coinbase, Kraken, KuCoin, KuCoin Futures, OKEx, Bybit & co. are supported as well! So what´s the ultimate goal of this course? Creating powerful and fully automated Crypto Trading Bots for Spot Trading and Futures Trading. The course is structured in five Parts: Part 1: Fundamentals of Trading, Binance, and Python for Finance Trading vs Investing Spot vs. Derivates (Futures) Trading What you should know about Cryptocurrencies as an Asset Class Trading 101: Market Orders, Limit Orders, Commissions, Spreads, Slippage, Market Depth, and more Binance Overview and the Binance API Financial Data Analysis with Python and Pandas Part 2: Automated Crypto Spot Trading Long-only Strategies Enhanced Buy-and-Hold Strategies Backtesting, Optimization, and Forward Testing of Trading Strategies Implementing and automating Trades Creating fully automated Trading Bots in the Cloud (AWS) Real Trading and Paper Trading Part 3: Automated Crypto Futures Trading Futures and perpetual Futures Long-Short Futures Trading Strategies Margin Trading (Leverage) Real Trading and Paper Trading with the Binance Futures API Part 4: API Trading with other Exchanges Getting programmatic access with the CCXT Library Trading with CCXT and Binance Trading with CCXT and FTX more examples to come... Part 5 (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) Trading. 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 trading course but also an in-depth Python Course that goes beyond what you can typically see in other courses. Create Software with Python and run it in real-time on a virtual Server (AWS)! 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. Cryptorcurreny Traders and Investors tired of relying on simple strategies, chance and hope. Finance & Investment Professionals who want to step into Data-driven Finance. Data Scientists and Machine Learning Professionals with an interest in Trading and Cryptos. [center][img][Hidden Content]] [b]DOWNLOAD FROM RAPIDGATOR[/b] [Hidden Content] [b]DOWNLOAD FROM TURBOBIT[/b] [Hidden Content] [b]If any links die or problem unrar, send request to[/b] [hide][Hidden Content]]

[center][img][Hidden Content]] [center][b]Industrial Cybersecurity & IEC 62443 Specialist | Udemy[/b] English | Size: 5.82 GB Genre: eLearning[/center] Become an OT cybersecurity specialist with skills in IEC 62443, SIEM, cryptography, firewalls, industrial networks [b]What you'll learn[/b] Understand industrial cybersecurity fundamentals for OT, ICS, SCADA, and PLC systems in critical infrastructure environments. Apply the IEC 62443 framework to secure industrial control systems and meet compliance requirements in regulated industries. Identify vulnerabilities across the OSI model and map common cyber attacks to ICS network layers. Design secure industrial networks with segmentation, firewalls, VLANs, and defense-in-depth strategies. Implement cryptographic techniques including AES, RSA, TLS, and SSH to secure industrial data and communications. Use SIEM systems, IDS/IPS tools, and log analysis to detect and respond to cyber threats in OT environments. Compare IT vs OT networks and understand the unique cybersecurity needs of operational technology systems. Secure remote access, monitor endpoints, and manage user authentication across industrial environments. Understand the Purdue Model and how layered architectures help isolate and protect critical systems. Develop hands-on knowledge to transition into OT security roles and boost your career in industrial cybersecurity. In today's hyper-connected world, industrial control systems (ICS) and operational technology (OT) are on the front lines of a new wave of cyber threats. With the rise of Industry 4.0, smart grids, connected factories, and critical infrastructure are more exposed than ever. Protecting these systems isn't just important - it's mission-critical. This comprehensive and career-focused course will equip you with the skills, frameworks, and technical knowledge to safeguard industrial environments against cyber attacks. Whether you work in energy, utilities, oil and gas, manufacturing, or are transitioning into OT cybersecurity roles, this course provides the real-world expertise you need to succeed. Over 500 quiz questions to help re-enforce learning! What You'll Learn: Foundations of Industrial Cybersecurity Understand the unique threats facing SCADA, PLCs, DCS, and other control systems. Network Security for ICS and OT Learn how the OSI model, industrial protocols (Modbus, DNP3, Profinet), segmentation, firewalls, and intrusion detection systems apply to industrial networks. IEC 62443 Framework and Compliance Master the globally recognized security standard for industrial systems and understand how to implement its seven foundational requirements. Cryptography in Industrial Environments Apply symmetric and asymmetric encryption, digital signatures, TLS/SSH, and PKI for secure industrial communications. Incident Detection, Logging, and Response Detect and respond to attacks in real-time using log analysis, SIEM tools, and endpoint protection designed for operational technology environments. Career Impact and Earning Potential: Cybersecurity for OT and ICS is one of the fastest-growing and highest-paying niches in tech. Professionals in this field can expect competitive salaries such as: OT Cybersecurity Engineer: $110,000-$140,000 ICS Security Analyst: $95,000-$125,000 Industrial Network Security Specialist: $100,000-$135,000 IEC 62443 Consultant: $120,000-$150,000 Top companies in energy, manufacturing, and utilities are actively hiring OT security talent. This course is designed to help you become that talent. Why Enroll in This Course: Complete roadmap from foundational knowledge to advanced practices Real-world applications and examples tailored for industrial environments Aligned with IEC 62443, zero-trust models, and current industry demands Built to serve both individuals and enterprise learners (Udemy Business ready) Who Should Take This Course: Industrial engineers and technicians looking to understand cybersecurity Cybersecurity professionals specializing or transitioning into ICS and OT IT professionals working with SCADA, PLC, or industrial network environments Students, consultants, and anyone preparing for IEC 62443-related roles Anyone interested in protecting critical infrastructure Course Features: Professionally presented video lectures Downloadable resources and case-based exercises Lifetime access with future updates included Certificate of completion This is your opportunity to develop in-demand skills and join a specialized field with global importance. Enroll now and start your journey toward becoming an industrial cybersecurity specialist. [b]Who this course is for:[/b] Industrial engineers and technicians who want to understand cybersecurity in OT and ICS environments. Cybersecurity professionals looking to specialize in operational technology and critical infrastructure. IT professionals transitioning into roles that involve SCADA, PLCs, or industrial networks. Control system engineers who need to secure DCS, HMI, or building automation systems. Consultants, auditors, or compliance managers working with IEC 62443 or ICS security frameworks. Anyone interested in protecting industrial systems from cyber threats and enhancing their career prospects. [center][img][Hidden Content]] [b]DOWNLOAD FROM RAPIDGATOR[/b] [Hidden Content] [b]DOWNLOAD FROM TURBOBIT[/b] [Hidden Content] [b]If any links die or problem unrar, send request to[/b] [hide][Hidden Content]]