wilegyge

Python Coding Preparation Published 4/2025 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 239.68 MB | Duration: 0h 46m WINNING AT PYTHON INTERVIEWS What you'll learn Curated coding problems commonly encountered in Python-based technical interviews. Step-by-step solutions with detailed explanations. Real-world problem-solving applications. Algorithms (sorting, searching, recursion, dynamic programming, etc.). Data structures (lists, dictionaries, sets, tuples, etc.). Structuring responses to demonstrate logical thinking. How to effectively explain solutions during an interview Requirements Understanding of Python syntax (variables, loops, conditionals, functions). Familiarity with data types like strings, lists, tuples, dictionaries, and sets. Basic file handling (reading/writing files). Experience writing and debugging simple Python programs. Basic understanding of functions and recursion. Logical thinking and analytical skills. A Python 3.x installation on your computer. Jupyter Notebook, VS Code, PyCharm, or any preferred IDE. Description "Python Coding Prep: Winning at Python Interviews" is structured to provide you with a thorough understanding of the kinds of problems you might face and the strategies to solve them. Each problem is carefully selected to cover a wide range of topics, from basic syntax and data structures to more complex algorithms and real-world applications. The solutions are explained in detail, with a focus on clarity and efficiency, ensuring that you not only know how to solve the problem but also understand the underlying principles.In addition to technical skills, this book emphasizes the importance of problem-solving techniques and effective coding practices. You will find tips on how to approach problems methodically, optimize your code, and communicate your thought process clearly during an interview. These skills are crucial, as interviewers are often as interested in how you solve a problem as they are in the final answer.As you work through the problems, I encourage you to think critically and creatively. Take the time to explore different solutions and understand the trade-offs between them. This practice will not only prepare you for interviews but also make you a better programmer overall.Finally, remember that preparation is key to success. The more you practice, the more confident you will become. Use this course as a tool to hone your skills, build your confidence, and ultimately, achieve your career goals. Aspiring software developers, data analysts, and engineers preparing for technical interviews.,Candidates applying to tech companies, startups, or FAANG/MNCs that assess Python skills.,Anyone looking to improve problem-solving skills and ace whiteboard coding challenges.,Undergraduate & graduate students preparing for internships or full-time jobs in tech.,Students who have learned Python in coursework but need hands-on problem-solving practice.,Developers from other programming backgrounds (Java, C++, JavaScript) transitioning to Python roles.,IT professionals preparing for technical skill assessments in job interviews. Screenshot

Time-Series Analysis & Regression Forecasting With Python Published 4/2025 Created by eTech School MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: All | Genre: eLearning | Language: English | Duration: 71 Lectures ( 5h 45m ) | Size: 2 GB Transform raw data into powerful forecasts with Python-learn time-series modeling, regression, real-world forecasting. What you'll learn Time-series concepts, notations, and use cases. Data loading, preprocessing, and feature engineering using Python. Visualizing time-series data for insights. Forecasting using AR, MA, ARIMA, and SARIMA models. Handling seasonality and trend components in data. Performing train-test splits and model validation correctly. Applying linear regression (simple and multiple) for forecasting. Interpreting regression outputs and evaluating model accuracy. Requirements Basic knowledge of Python (variables, loops, basic functions). Familiarity with basic statistics (mean, median, correlation). Some exposure to pandas, matplotlib, or NumPy is helpful but not mandatory. No prior experience with time-series or regression needed. Description Course Introduction:Forecasting is at the heart of modern data science, powering decision-making across finance, retail, healthcare, and beyond. This comprehensive course is your step-by-step guide to mastering time-series analysis and regression-based forecasting using Python. Whether you're a budding data scientist or an analyst aiming to add predictive analytics to your skillset, this course covers everything from basic notations to advanced models like ARIMA and SARIMA. You'll also learn how to prepare data for machine learning, visualize trends, and validate models like a pro.Through hands-on coding in Python, real-world use cases, and expert-led instruction, you'll gain the confidence to build and deploy forecasting models that actually drive impact.Section 1: Foundations of Time-Series Analysis in PythonStart your journey by understanding the fundamentals of time-series data-what makes it unique and why it matters in data science. You'll set up your environment with Anaconda and Jupyter, then dive into data loading, preprocessing, and feature engineering. You'll also learn how to visualize time-dependent patterns, apply transformations, and use basic statistical techniques like moving averages and exponential smoothing. By the end of this section, you'll be well-prepared for building time-aware models.Section 2: Time-Series Forecasting ModelsIn this section, you'll move from theory to practice with key time-series forecasting models. Starting with naive models, you'll progress to Auto-Regression (AR), Moving Average (MA), and ARIMA. Learn how to split time-series data properly, validate predictions using walk-forward validation, and interpret autocorrelation using ACF and PACF plots. You'll wrap up with SARIMA, an advanced seasonal model, and apply it all in Python through hands-on coding.Section 3: Data Preprocessing for Linear RegressionBefore building regression models, you need clean and meaningful data. This section teaches you the essential preprocessing steps required for high-quality regression modeling. You'll work through exploratory data analysis, outlier detection, missing value imputation, seasonality handling, and correlation analysis. You'll also transform variables, create dummy variables, and prepare your dataset for modeling. Each concept is reinforced with Python demos to solidify your understanding.Section 4: Building & Evaluating Regression ModelsFinally, bring your data to life by building regression models in Python. You'll understand how to apply the Ordinary Least Squares (OLS) method, interpret coefficients, and evaluate model performance using R-Squared, F-statistics, and more. You'll build both simple and multiple linear regression models, including handling categorical variables. This section ensures you're confident not only in model creation but also in explaining the results effectively.Course Conclusion:Congratulations! You've now developed the core skills required to perform both time-series forecasting and regression modeling using Python. From building clean datasets to visualizing trends and predicting future values, you're ready to tackle real-world forecasting challenges in any domain. Your ability to transform data into insight will set you apart as a capable and confident data professional. Who this course is for Aspiring data scientists and analysts looking to master forecasting. Business intelligence professionals wanting to enhance reporting with prediction. Students in data science or machine learning programs. Python developers eager to apply coding skills to statistical forecasting. Anyone curious about time-series analysis, regression, or predictive modeling. Homepage

Ai Orchestration: Validation And User Feedback And Performance Metrics Released 04/2025 With Janani Ravi MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Skill level: Intermediate | Genre: eLearning | Language: English + subtitle | Duration: 2h 1m 59s | Size: 190 MB Discover the essentials of model evaluation, usability testing, feedback, and performance analysis for ML and AI models. Course details Ready to get up to speed with the latest, most cutting-edge trends in AI orchestration? In this course, instructor Janani Ravi provides a comprehensive overview of how to effectively evaluate and integrate user feedback into AI models. Focusing on both traditional models and large language models (LLMs), Janani introduces essential concepts such as validation techniques, performance metrics, user feedback mechanisms, and more. Along the way, get hands-on experience with validating models through cross-validation and k-fold cross-validation, as well as practical applications of performance metrics like accuracy, precision, recall, using reinforcement learning for human feedback, and the BLEU, ROUGE, and METEOR scores for LLM evaluation. HomepageScreenshot

Learning Sound Design For Video Production Released 04/2025 With Skillshare MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Skill level: Beginner | Genre: eLearning | Language: English + subtitle | Duration: 26m 13s | Size: 146 MB Learn how to use audio effectively to create video content that stops viewers in their tracks. Course details In today's content-rich world, understanding how to use audio effectively can be the difference between content that gets scrolled past and content that stops viewers in their tracks. Thoughtful sound design can make your work stand out in ways you never could have imagined. Audio isn't just a technical skill-it's a powerful storytelling language that can enhance reality and bring your creative vision to life. In this beginner-friendly course, designed by Skillshare, discover how to use audio as a creative language to enhance reality, capture your audience's attention, tell better stories, and bring your vision to life. You don't need fancy equipment-a basic recorder or even your phone will do. Along the way, explore how simple sound choices can dramatically change the mood, meaning, and impact of your videos. HomepageScreenshot

Cyber Supply Chain Risk Management: Designing, Deploying, And Maintaining Secure Supply Chain Programs Released 04/2025 With Mani Keerthi Nagothu MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Skill level: Intermediate | Genre: eLearning | Language: English + subtitle | Duration: 49m 41s | Size: 103 MB Learn the essential elements required to build an effective cyber supply chain risk management program. Course details This course explores the essential elements needed to build a cyber supply chain risk management program. Take a streamlined approach from a people, process, and technology perspective to create cyber supply chain controls with your organization. Understand the cyber supply chain risks within an organization and make use of the supply chain frameworks and standards to implement a cyber supply risk management program for your organization. HomepageScreenshot

Cultivating An Inclusive Workplace: Race And Ethnicity Released 04/2025 With Mareisha Reese, Mary-Frances Winters MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Skill level: Intermediate | Genre: eLearning | Language: English + subtitle | Duration: 1h 20m 22s | Size: 273 MB Learn about racial equity and how to create equitable opportunities for all in your organization. Course details Equity is key to creating and sustaining inclusive organizations. This course focuses on topics relating to race and ethnicity and is geared toward helping organizations create not just equality, but equitable opportunities for all-with specific focus on common racial/ethnic inequities and ways to address those challenges. HomepageScreenshot

Debugging In C++ With Visual Studio Code Released 04/2025 With Eduardo Corpeño MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Skill level: Intermediate | Genre: eLearning | Language: English + subtitle | Duration: 2h 10m 4s | Size: 287 MB Gain a comprehensive understanding of debugging C++ code with practical tools and techniques to efficiently find and fix errors in your programs. Course details In this course, learn practical techniques to identify and fix errors in your C++ programs. Instructor Eduardo Corpeño introduces a variety of debugging tools and methods, from basic print statement debugging to more structured approaches using breakpoints, watches, and variable views in Visual Studio Code. Explore how to interpret compiler messages, understand common programming mistakes, and apply defensive programming strategies to minimize errors. By the end of this course, you'll be better equipped to handle different debugging scenarios and improve the reliability of your C++ code. Whether you're brushing up on your debugging skills or looking to learn new techniques, this course offers practical guidance to help you debug more effectively. HomepageScreenshot

Brainfit Published 4/2025 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 1h 52m | Size: 2.17 GB Cognitive Fitness for Active Minds What you'll learn Boost memory, focus, and clarity with daily brain-friendly habits that actually stick. Learn how to nourish your mind through movement, food, sleep, and connection. Build a personal brain health plan you'll actually enjoy-and want to follow for life. Stay sharp, confident, and mentally strong at any age-no brain games required. Requirements No experience needed-just bring your curiosity and a willingness to grow. This course meets you where you are and helps your brain thrive from day one. Description Imagine waking up each day feeling clear, focused, and energized-confident that your mind is just as strong and capable as ever. BrainFit: Cognitive Fitness for Active Minds is your step-by-step roadmap to achieving just that. This transformative, science-backed course is designed to help you sharpen your memory, boost your focus, and protect your brain for life-without pressure, perfection, or brain games.Built for adults who want to age vibrantly, this course teaches you exactly how to care for your brain in ways that feel good and actually stick. Whether you're in your 50s, 60s, 70s, or beyond, BrainFit will meet you where you are-with practical tools, joyful habits, and a flexible approach that fits into real life.In just a few minutes a day, you'll learn how to:Improve memory, focus, and mental clarity through fun, easy daily practicesUse movement, nutrition, sleep, and stress relief to fuel a sharper mindStrengthen emotional resilience and reduce brain fog without overwhelmBuild strong social connections that protect and uplift your brainCreate a personalized BrainFit routine you'll actually look forward toFeel empowered about normal brain changes-and know what to watch forFuture-proof your mind with tools you can rely on for years to comeEach module is packed with engaging video lessons, downloadable guides, and a beautifully designed workbook to help you turn insight into action. You'll reflect, track progress, try mini challenges, and build a plan that's entirely your own-no rigid routines, no tech-savvy required.What makes BrainFit different? It's grounded in science, delivered with heart, and designed to help you feel better-not just do better. The tone is warm, encouraging, and never overwhelming. Whether you're starting fresh or already health-focused, you'll walk away feeling more confident, capable, and connected to the best version of your mind.You don't need any prior experience-just curiosity and a willingness to try. If you're ready to stop worrying about cognitive decline and start building a future of clarity, creativity, and calm, this course is for you.Your brain is ready. Let's make it thrive-together. Who this course is for This course is designed for adults of any age who want to stay mentally sharp, energized, and engaged-whether you're in midlife, retirement, or beyond. It's especially valuable for those who are noticing changes in memory or focus, caring about long-term brain health, or simply wanting to feel more clear, calm, and connected each day. If you're ready to boost your brain without overwhelm-using joyful, science-backed strategies you can actually stick with-this course is for you. No jargon, no pressure, just real-life tools that work. HomepageScreenshot

[center] [Dynamo + Openai: Access Llm Tools In Structured WorkflowsPublished 4/2025MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 ChLanguage: English | Duration: 1h 25m | Size: 972 MBUse Embeddings, Vision, Audio & Output Formatting via Dynamo-No Coding or Prompt Writing Needed[/center] What you'll learn How to connect OpenAI with Dynamo for Revit using pre-built nodes How to extract and structure BIM data insights with AI-assisted queries How to use AI embeddings to categorize and retrieve Revit project data efficiently How to generate AI-powered conceptual images using OpenAI's DALL·E model Integrate Creation Extraction and Analysis of Data to Your Workflows Using Open AI Requirements Basic familiarity with Revit and Dynamo is recommended but not required An OpenAI API key (instructions on setup will be provided in the course) Autodesk Revit (2025 or newer preferred) and Dynamo installed No coding or programming experience required-this is a low-code course A stable internet connection to access OpenAI's API services Description AI is rapidly expanding what's possible in design and automation, and this course brings that potential directly into Dynamo for Revit-without requiring code or prompt engineering. Designed for professionals who want to connect OpenAI's most advanced tools to Dynamo workflows, this course offers a structured way to build powerful, AI-powered logic through pre-built custom nodes and your OpenAI key.Rather than teaching AI theory, prompting strategies, or Dynamo basics, this course focuses on what becomes possible when you directly integrate LLM workflows into Dynamo. Students will use OpenAI's Embeddings, Vision, Audio, and Output Formatting APIs to run structured operations on data, images, and voice, all through clean JSON connections inside Dynamo.This is not a course about managing Revit models or creating AI summaries of BIM data-it's a hands-on exploration of how to connect complex AI functions directly to your Dynamo environment, giving you full control over the logic and possibilities.What You'll LearnUse pre-built custom nodes to access OpenAI tools directly from DynamoRun Embeddings-based categorization and querying from JSON-formatted project dataAnalyze and extract information from images using OpenAI VisionConvert voice input into structured logic with OpenAI AudioCreate clean, structured outputs using OpenAI's Output Formatting toolsApply moderation to ensure clarity and safety in generated outputsBuild scalable, LLM-powered workflows using node-based connections only-no scripts requiredA certificate of completion will be provided. Whether you're a designer, BIM coordinator, or automation-minded professional, this course gives you the structure and tools to explore LLM capabilities within Dynamo-unlocking a new layer of custom logic, automation, and creative experimentation. Who this course is for BIM managers, architects, engineers, and computational designers looking to integrate AI into their Revit workflows AEC professionals interested in AI-driven data extraction, automation, and visualization Dynamo users who want to expand their skills with AI-powered BIM workflows Anyone looking for a low-code approach to integrating AI into design and modeling processes HomepageScreenshot

Getting Focussed - Being Focussed & Remaining Focussed Published 4/2025 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 44m | Size: 442 MB Increase Your Productivity, Reduce Your Stress, Focus the Mind and Improve Your Mental Wellbeing What you'll learn 4 Ways To Use Technology Productively 5 Tips For Staying Focused 5 Tips For Staying Focused Even When You Don't Feel Like It 5 Ways For Staying Mindful And Focused Creating A Work Ritual To Get You Focused How To Create The Perfect Environment For Staying Focused How To Train Your Brain To Stay Focused Should You Single-Task or Multi-Task? The Best Work-Break Ratio According To Science What You Do During Your Free Time Determines Your Productivity Requirements No skills needed, simply listen and take action and apply what you have learned Description Unlock Your Productive Potential.' In today's fast-paced, digitally saturated world, our attention is constantly being pulled in countless directions. We're bombarded with notifications, emails, and distractions, making it increasingly difficult to concentrate on the tasks that truly matter. This constant fragmentation of our attention not only diminishes our productivity but also impacts our overall well-being.This course is designed to equip you with the tools and techniques necessary to reclaim your focus and harness its power. We'll delve into the science behind attention, explore the various factors that disrupt our concentration, and learn practical strategies to cultivate a state of deep, sustained focus.Why is focus so crucial? Because it's the cornerstone of productivity. When we're truly focused, we can Achieve More in less time, by eliminating distractions and concentrating on one task at a time, we significantly improve our efficiency. We can Enhance the quality of our work, with focused attention it allows us to engage deeply with our tasks, leading to higher-quality output and fewer errors. Reducing stress and being overwhelmed is another side affect of not being focussed as we all attempt to do too much. Multi-tasking and constant interruptions increases stress levels which is something none of us want, so focusing on one task at a time brings a Sense of Calm and control. Being focussed can Improve decision-making, having a clear, focused mind allows for better analysis and more informed decisions. If you have ever wanted to Boost Creativity and innovation, the process of deep focus allows us to explore ideas more thoroughly and make novel connections. Completing tasks effectively and efficiently leads to a greater sense of accomplishment and Increased job satisfaction.In this course, we'll move beyond simply understanding the importance of focus and transition into actionable skills. We'll explore techniques to manage distractions, optimise your work environment, and cultivate mental resilience. We'll also cover strategies for setting clear goals, prioritising tasks, and developing routines that support sustained concentration.Whether you're a student, professional, entrepreneur, or simply someone looking to improve their daily life, this course will provide you with the practical tools and insights needed to master your focus and unlock your full productive potential. Let's embark on this journey together and discover the transformative power of a focused mind. Who this course is for Anyone who finds it challenging to focus on tasks and procrastinates. If you have a project that needs concluding or your full attention, then this is the course for you. HomepageScreenshot

Tech Career Skills: Moving From Developer To Engineering Manager Updated: 04/2025 Duration: 1h 22m | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 410 MB Level: Intermediate | Genre: eLearning | Language: English The skills that made you stand out as an individual contributor won't necessarily help you transition to management. As an engineering manager, you'll be charged with a host of brand-new new responsibilities-from hosting 1:1 meetings to conducting annual reviews-that necessitate the development of brand-new soft skills. This course outlines those skills, as well as the practical steps to take to successfully transition from an individual contributor developer on a team to an engineering manager. Instructor Jessica Rose details the fundamental tasks you'll need to tackle as a manager, as well as how to switch your focus from hands-on coding to coaching. Plus, she shares how to best advocate for your direct reports, as well as continue to grow your technical skills while in a leadership role. HomepageScreenshot

Migrating Cobol Apps Updated: 04/2025 Duration: 2h 48m | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 388 MB Level: Advanced | Genre: eLearning | Language: English Despite the arrival of myriad new and modern languages, COBOL still rules many government and legacy computing systems. Many of these systems are due to be retired, and the organization's applications must be migrated to a modern environment. In this course, learn about the ways in which developers can migrate legacy COBOL applications, the challenges in doing so, and techniques and tips for succeeding in a smooth transition. Discover various techniques and tools you can use to analyze legacy COBOL source code. Explore how to use visualization to better understand legacy code; how to extract code into a subprogram; how to effectively refactor code; and more. Get insight into some automated migration tools that streamline the process. Plus, instructor Malcolm Shore steps through the process of migrating some legacy-style COBOL application demonstrating key tools and processes along the way. HomepageScreenshot

Expert In Python Automation Using Pytest-Playwright Published 3/2025 Created by Rajesh A MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: All | Genre: eLearning | Language: English | Duration: 7 Lectures ( 1h 11m ) | Size: 561 MB Step-by-Step Guide to Expert in Python Automation using Pytest-Playwright What you'll learn Setup and Installation: Learn how to install Playwright and integrate it with Pytest Fixtures and Test Structure: Understand the Playwright-specific fixtures provided by the Pytest plugin, such as page, context, and browser Writing Test Scripts: Explore how to write test scripts using Playwright's APIs, including navigating web pages, interacting with elements, and using locators Parallel Test Execution: Learn how to execute tests in parallel to improve efficiency, which is crucial for large-scale test automation Best Practices and Debugging: Familiarize yourself with best practices for writing tests using auto-wait, and debugging tools like screenshots and video records Requirements Basic understanding of testing and web technologies (HTML, CSS, DOM) Description Level: Beginner to AdvancedPrerequisites: Basic understanding of testing and web technologies (HTML, CSS, DOM).This comprehensive course is designed to equip participants with the skills to build powerful browser automation frameworks using Python, Pytest, and Playwright. Through hands-on sessions and real-world examples, you will learn to automate web applications for functional testing, debug issues effectively, and optimize your test execution for maximum efficiency.Starting with an introduction to automation principles and tools, you'll progress to setting up your environment, learning the essentials of Pytest for test creation and execution, and leveraging Playwright's robust browser automation capabilities. You will also explore advanced topics such as parallel test execution, debugging strategies, continuous integration (CI/CD) pipelines, and best practices for maintaining scalable test suites.By the end of the course, you'll be equipped to tackle automation challenges confidently, write maintainable test scripts, and integrate your tests into modern development workflows.What You'll Learn:Install and configure Pytest-Playwright for effective automation testing.Write and execute automation tests for web applications.Navigate and interact with web pages using Playwright's APIs.Optimize test execution with parallel test runs.Debug and analyze test failures using Playwright's built-in tools.Implement best practices for robust and scalable test frameworks.Work on a real-world project to design and execute an automation suite.Who Should Take This Course:Aspiring QA Engineers and Automation Testers.Developers looking to integrate testing into their workflows.Professionals transitioning to browser automation frameworks.Anyone interested in building scalable test solutions. Who this course is for Software Testers: Professionals looking to enhance their automated testing skills and adopt cutting-edge tools for web application testing. Quality Assurance Engineers: Individuals aiming to streamline testing processes and improve the reliability of their automation frameworks. Python Enthusiasts: Programmers with a foundational knowledge of Python who want to expand their skillset into automation and testing domains. Aspiring Automation Experts: Beginners in automation who wish to build a strong foundation and achieve proficiency using Pytest-Playwright. DevOps and Development Teams: Members seeking to integrate automated testing seamlessly into their CI/CD pipelines for improved collaboration and efficiency. Freelancers and Entrepreneurs: Those who want to deliver high-quality software testing services using advanced tools like Pytest and Playwright. Homepage [Hidden Content]

Sap Mm (materials Management) Training By Zaran Tech Published 3/2025 Created by Zaran Tech MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: Beginner | Genre: eLearning | Language: English + subtitle | Duration: 12 Lectures ( 21h 35m ) | Size: 15.7 GB Master SAP MM: Streamline Procurement, Inventory, and Material Management What you'll learn Manage Procurement - Execute purchasing and supplier processes. Handle Inventory - Track stock movements and goods receipts. Configure Material Master Data - Set up and maintain records. Optimize Logistics & Invoicing - Streamline supply chain operations. Requirements Basic SAP Knowledge (helpful but not required). Familiarity with Procurement or Inventory Management (preferred but not mandatory). No prior SAP MM experience required. A Computer with Internet Access to explore SAP functionalities. Description SAP MM (Materials Management) is a crucial module in SAP ERP that handles procurement, inventory management, and material planning. This comprehensive course is designed for beginners and professionals looking to master SAP MM and gain hands-on expertise in managing the supply chain effectively.The course covers the fundamental concepts of SAP MM, including organizational structure, master data, purchasing processes, inventory management, invoice verification, and integration with other SAP modules like SD (Sales and Distribution), PP (Production Planning), and FI (Financial Accounting). You will learn how to configure and use key MM functionalities such as purchase requisition, purchase order processing, goods receipt, and material valuation.Through practical demonstrations and real-world scenarios, you will develop a deep understanding of procurement cycles, stock transfers, pricing procedures, and vendor management. Additionally, the course will guide you through SAP MM reporting and analytics to optimize inventory levels and reduce procurement costs.By the end of this course, you will be equipped with the skills needed to work as an SAP MM consultant, end-user, or functional analyst. Whether you aim to enhance your SAP knowledge or prepare for SAP MM certification, this course provides a strong foundation.Key Highlights:1. Understanding SAP MM organizational structure2. Procurement and inventory management processes3. Hands-on experience with SAP MM transactions4. Integration with other SAP modules5. Real-world business scenarios and best practicesStart your journey in SAP MM today and advance your career in supply chain management! Who this course is for Procurement & Supply Chain Professionals managing purchasing and logistics. SAP Consultants & Analysts specializing in Materials Management. Inventory & Warehouse Managers optimizing stock control. Beginners & IT Professionals seeking SAP MM expertise. Homepage [Hidden Content]

Specialized Security Management: Incident Management Published 3/2025 MP4 | Video: h264, 1920x1080 | Audio: AAC, 48 KHz Language: English | Size: 215.45 MB | Duration: 1h 14m 56s Learn to handle security incidents with confidence. This course will teach you how to manage the entire incident lifecycle, communicate effectively with stakeholders, and implement continuous improvements to protect your organization's reputation... Security incidents can cause major problems for companies, disrupting operations, and affecting customer confidence. In this course, Specialized Security Management: Incident Management, you'll learn to manage the entire incident lifecycle with confidence. First, you'll explore how to effectively handle incidents by following the incident response lifecycle, from preparation to lessons learned. Next, you'll discover how to clearly communicate with internal teams, your leadership, and external stakeholders during an incident. Finally, you'll learn how to conduct post-incident reviews to identify root causes, improve processes, and enhance your organization's security posture. When you're finished with this course, you'll have the skills and knowledge of incident management needed to protect your organization, its operations, and its reputation. HomepageScreenshot

Vault Policies For Vault Associate (003) Released 3/2025 By Ned Bellavance MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: Intermediate | Genre: eLearning | Language: English + subtitle | Duration: 43m 4s | Size: 105 MB This course will teach you the concepts and skills to work with HashiCorp Vault ACL policies in preparation for the Associate level certification. Mastering access control is essential for securely managing secrets and sensitive data. In this course, Vault Policies for Vault Associate (003), you'll learn to work with HashiCorp Vault ACL policies in a development setting. First, you'll explore what ACL policies are and how they're used in Vault. Next, you'll discover the syntax of policies using paths and capabilities. Finally, you'll learn how to create policies based on uses cases from the CLI and UI of Vault server. When you're finished with this course, you'll have the skills and knowledge of HashiCorp Vault needed to prepare for the Associate level certification. Homepage

Powerpoint - Leveraging Smartart Released 3/2025 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: Beginner | Genre: eLearning | Language: English + subtitle | Duration: 52m 15s | Size: 216 MB This course will teach you how to cleverly use SmartArt to turn text heavy slides into visual layouts, crop all your images at once, and even suck data out of broken link charts. There are a lot of time intensive and repetitive tasks in PowerPoint that you can easily crush with SmartArt. In this course, PowerPoint: Leveraging SmartArt, you'll learn to use SmartArt backwards to turn text heavy slides into visual layouts, crop and resize multiple photos at the same time, and even suck data out of shapes for your Excel spreadsheets. First, you'll explore how SmartArt works as you convert text into visual layouts (and how to break SmartArt apart). Next, you'll discover how to simultaneously crop and resize lots of images at the same time. Finally, you'll learn how to suck data out of PowerPoint for your Excel spreadsheets, including how to suck data out of a broken link chart. When you're finished with this course, you'll have the skills and knowledge of Leveraging SmartArt needed to easily crush a variety of otherwise time intensive and frustrating PowerPoint tasks. This course is a partner presentation by Nuts & Bolts for PowerPoint. Homepage

Building In Microsoft Copilot Studio (2025) Released: 03/2025 Duration: 1h 1m | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 124 MB Level: Intermediate | Genre: eLearning | Language: English Microsoft Copilot Studio is a low-code, easy-to-use platform that lets you quickly create and publish AI-powered agents based on your own unique business needs. In this course, instructor Bryan Li shows you how to get started. Explore the rise of generative AI, the core concepts of Copilot Studio, and why it can be leveraged so effectively to improve your workflow. Bryan shows you how to build and deploy an AI agent, create generative answers with a variety of data sources, control conversation flow for business topics, and publish your agent on multiple channels, monitoring its performance for improvement as you go. By the end of this course, you'll be prepared to leverage the powerful functionalities of Microsoft Copilot Studio to drive innovation and business growth. HomepageScreenshot

Hands-On Sql: Building Data Products In Dremio Released: 03/2025 Duration: 1h 27m | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 214 MB Level: Beginner | Genre: eLearning | Language: English Looking to get up and running with SQL in Dremio? In this course, designed for data analysts and Dremio practitioners, learn how to use SQL within the free version Dremio for analytics and start building data products like a pro. Explore the essentials of SQL, how to leverage SQL as a data analysis, and how to create data products in Dremio. Along the way, gather insights on how to successfully execute SQL against a data product. This course was created by Dremio. We are pleased to host this training in our library. Visit Dremio. HomepageScreenshot

Akylade Ai Security Foundation Aisf-001 (a/aisf) Cert Prep Released: 03/2025 Duration: 4h 26m | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 591 MB Level: Intermediate | Genre: eLearning | Language: English The AKYLADE AI Security Foundation (A/AISF) certification exam is designed to evaluate your ability to understand and apply essential artificial intelligence (AI) security concepts including but not limited to artificial intelligence concepts, AI risk management, AI risks and trustworthiness, and the essentials of the NIST Risk Management Framework. An ideal fit for cybersecurity, IT, risk management, and compliance professionals, this course equips you with the skills you need to tackle the official A/AISF exam. HomepageScreenshot

Akylade Ai Security Practitioner Aip-001 (a/aisp) Cert Prep Released: 03/2025 Duration: 4h 40m | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 786 MB Level: Intermediate | Genre: eLearning | Language: English The AKYLADE AI Security Practitioner AIP-001 (A/AISP) certification) validates your expertise in managing AI risks to ensure system trustworthiness, and integrating security measures within organizational AI frameworks. This course helps you prepare for the certification, and covers the six domains of the exam: Ethics and Human-AI Interaction, Advanced AI Risk Management, AI System Integration and Security, NIST AI RMF, AI Risk Management Action Plan, and AI Incident Response and Management. This course was created by Dwayne Natwick and Captain Hyperscaler. We are pleased to host this training in our library. HomepageScreenshot

Akylade Cyber Risk Management Foundation Rmf-001 (a/crmf) Cert Prep Released: 03/2025 Duration: 4h 42m | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 623 MB Level: Intermediate | Genre: eLearning | Language: English The AKYLADE Cyber Risk Management Foundation (A/CRMF) certification exam evaluates your understanding of key risk management concepts, including strategy development, governance, risk identification and analysis, response and mitigation, and monitoring and communication to ensure that you can effectively manage cyber risks within an organization. An ideal fit for cybersecurity, IT, risk management, and compliance professionals, this course equips you with the skills you need to tackle the official A/CRMF exam. HomepageScreenshot

Microcontrollers & Iot: Learn With Real Online Hardware Published 3/2025 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 1.03 GB | Duration: 2h 39m Learn Microcontrollers with Keil & MBED OS. Explore GPIOs, PWM, ADC, Serial Debugging & Online Hardware Labs! What you'll learn Program microcontrollers and IoT devices (STM32 WB55RG) using MBED OS 6 and Keil Studio Cloud. Write, upload, and test embedded software on real hardware through LabsLand, with access included in the course. Control LEDs, buttons, servo motors, and other peripherals in hands-on microcontroller projects. Use serial communication for debugging and interacting with embedded systems efficiently. Requirements Basic programming experience in any language (C, Python, Java, etc.). No prior embedded systems or microcontroller knowledge required. No hardware purchases needed, you will be given access to real hardware devices online A computer with an internet connection to access Keil Studio Cloud and LabsLand. Description Are you interested in Microcontrollers, Embedded Systems, or IoT, and using them in practise, but you don't want to purchase equipment or wait for it to arrive? This course is for you! Unlike other courses, you will work with real microcontroller hardware online, without needing to buy any devices. Though you can still set up a local lab if you want.In this hands-on course, you'll learn how microcontrollers work, how to program them using Keil Studio Cloud and MBED OS 6, and how to control LEDs, buttons, servos, and analog sensors. You'll also explore serial communication, debugging techniques, and Pulse-Width Modulation (PWM) for advanced control.What makes this course unique?Work with real hardware - No simulations! You'll use LabsLand's online microcontroller lab to program real STM32 hardware remotely. Free access to the hardware for a week is included with the course, which is enough for the assignments. (Additional access can be purchased very affordably, or you can set up a traditional more expensive local lab).Practical, hands-on learning - Each concept is reinforced with coding exercises and assignments.Learn industry-standard tools - We use Keil Studio Cloud & MBED OS 6, widely used in embedded systems development.No prior microcontroller experience required - A basic understanding of programming (C/C++ or similar) is helpful, but we guide you through everything step by step.By the end of this course, you will:Understand how microcontrollers work and how they are programmed.Use digital I/O to control LEDs and buttons.Read analog inputs and interact with sensors.Use PWM to control LED brightness and servo motors.Debug your code effectively using serial communication.Whether you're a hobbyist, engineering student, or educator, this course will give you practical microcontroller programming experience using real hardware!Join now and start programming microcontrollers online today! Overview Section 1: Introduction Lecture 1 Welcome & What You Will Learn Lecture 2 Setting Up our IDE: Keil Studio Cloud Lecture 3 Accessing the Remote Hardware (STM32 microcontroller) with LabsLand Section 2: Your First Hands-On Project: LEDs Control Lecture 4 Understanding GPIOs: Digital I/O, LEDs and Buttons Lecture 5 The Nucleo-WB55RG, Pinout and Fritzing diagrams Lecture 6 Using DigitalIn and DigitalOut to control LEDs and Buttons in Mbed Section 3: Debugging Tools & Analog Inputs Lecture 7 The Serial Terminal - Debugging & Printing Data Lecture 8 Reading Analog Inputs (Potentiometers) with ADC Section 4: PWM, Brightness and Servo Control Lecture 9 Pulse-Width Modulation (PWM) Lecture 10 Using PWM In Practise for Brightness Control Lecture 11 Introduction to Servo Motors Lecture 12 Using PWM In Practise to Control a Servo Section 5: Final Challenge: Smart Parking System Lecture 13 Introduction to Hybrid Labs: Combining real hardware with virtual environments Students, hobbyists, and engineers interested in microcontrollers and IoT.,Software developers curious about hardware programming and embedded systems.,Anyone who wants to learn microcontroller programming without buying hardware.,STEM educators looking for an accessible, hands-on learning tool for their students. Screenshot [Hidden Content]

Groundwater Modeling Using Visual Modflow Flex-Level2 Published 3/2025 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 1.39 GB | Duration: 3h 15m Groundwater Modeling: Seawater Intrusion, Density-Dependent Flow, and Dewatering with Visual MODFLOW Flex What you'll learn Understand the principles of groundwater models and their applications in real-world scenarios. Learn the fundamentals of density-dependent flow and how it affects groundwater movement. Gain hands-on experience using Visual MODFLOW Flex for groundwater modeling. Develop skills to simulate and analyze models such as seawater intrusion, the Elder problem, and dewatering models. Requirements No prior knowledge is required. Basic familiarity with groundwater concepts is helpful but not mandatory. A computer with Visual MODFLOW Flex installed (trial or full version). Description This course is a continuation of my Udemy course "Applied Groundwater Modeling Using Visual MODFLOW Flex." If you have completed that course or have a basic understanding of groundwater modeling, this Level 2 course will take your skills to an advanced level.Groundwater modeling is essential for understanding and managing water resources, and this course focuses on density-dependent flow-a critical factor in simulations considering variations in water density (function of concentration). Using Visual MODFLOW Flex, you will learn how to build and analyze models that account for density-driven groundwater movement, which is crucial for coastal aquifers, contaminant transport, and engineering applications.Throughout the course, you will engage in three hands-on exercises:-Seawater intrusion modeling - Understand how saltwater moves into freshwater aquifers and how to mitigate its impact.-Elder problem simulation - Explore fundamental density-driven flow concepts through a classic benchmark problem.-Dewatering modeling - Learn how to simulate groundwater extraction for construction and mining projects.By the end of this course, you will have practical expertise in solving real-world groundwater challenges using one of the most advanced modeling tools available. Whether you are a hydrogeologist, engineer, researcher, or student, this course will equip you with valuable skills to advance your groundwater modeling knowledge. Overview Section 1: Introduction Lecture 1 Introduction Section 2: Fundamentals and Introduction to VMOD FLEX Lecture 2 Principles of GW models Lecture 3 Fundamentals of density dependent flow Lecture 4 Introduction to Visual Modflow Flex Section 3: Applications VMOD Flex Lecture 5 Exercise 1: Seawater intrusion Lecture 6 Exercise 2: Elder problem Lecture 7 Exercise 3: Deawatering Model Lecture 8 References Students, researchers, and professionals in hydrogeology, environmental science, and water resources.,Engineers and consultants working on groundwater modeling projects.,Anyone interested in learning advanced groundwater modeling techniques using Visual MODFLOW Flex. Screenshot [Hidden Content]

Mastering Classification Metrics: Beyond Accuracy Published 3/2025 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 1.22 GB | Duration: 1h 30m Visually Learn, Remember, and Choose the Best Metrics for Machine Learning Models What you'll learn Define common classification metrics, including accuracy, precision, recall, F1-score, and ROC-AUC. Visualize classification metrics using intuitive, real-world examples to reinforce learning and recall. Compare and contrast different metrics to evaluate their strengths, weaknesses, and ideal use cases. Select the most effective metric for a given classification problem based on data distribution and project goals. Analyze confusion matrices to gain deeper insights into model performance. Identify when accuracy is misleading and how to use alternative metrics for imbalanced datasets. Optimize machine learning models by prioritizing the right metric for your specific use case. Requirements Basic math skills (fractions, percentages, and weighted averages) to follow metric calculations. Familiarity with machine learning concepts is helpful but not necessary. Beginners can follow along as long as they have an interest in classification metrics. No programming experience required! This course focuses on conceptual understanding with visual explanations-no coding needed. Description Master Classification Metrics with a Visual, Intuitive ApproachChoosing the right classification metric can make or break your machine learning model. Yet, many data professionals default to accuracy-when better options like precision, recall, F1-score, and ROC-AUC might be the smarter choice.This course is designed to help you visually learn, remember, and apply the most important classification metrics-so you can confidently select the right one for any problem.What You'll Learn:Define and compare key classification metrics like precision, recall, F1-score, and ROC-AUCVisually understand how each metric works and when to use itAvoid common pitfalls in metric selection for imbalanced datasetsGain confidence in choosing the best metric for real-world machine learning problemsWhy Take This Course?Intuitive - Learn metric definitions in a highly relatable, easy-to-digest wayVisual - Tap into your natural learning style with engaging visuals that SHOW rather than tellApplicable - Master not just the definitions, but also how to choose the right metric for any ML projectWho Should Enroll?Data science students, analysts, and professionals looking to strengthen their understanding of classification metricsMachine learning practitioners who want to improve model evaluation and decision-makingJoin now and stop second-guessing your metric choices-start optimizing your models with confidence! Data science students who want a deeper, more intuitive understanding of classification metrics.,Working professionals in data science and machine learning looking to improve model evaluation skills.,Aspiring data analysts and ML practitioners who want to confidently interpret and select the right metrics for real-world problems.,Anyone struggling with classification metrics who wants a clear, visual, and memorable way to learn them. Screenshot