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Bobby Fischer's Most Instructive Games Of Chess 1963-1968 Last updated 4/2024 Created by Tryfon Gavriel MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: All | Genre: eLearning | Language: English + subtitle | Duration: 131 Lectures ( 22h 8m ) | Size: 25.4 GB Learn From Bobby Fischer's Chess Genius: Learn his Brilliant Tactics, Strategies and Game-Changing Openings 1963-1968 What you'll learn Be able to see the real Beth Harmon depicted in Netflix series Queen's Gambit - Beth was largely modelled on Bobby Fischer Be able to get more empathy for Fischer tactics and combinations Be able to leverage Fischer's White opening repertoire with 1.e4 which he used extensively in this period Be able to leverage Fischer's Black opening repertoire which was largely the Sicilian defence vs 1.e4 and the Kings Indian vs 1.d4 in this period Be able to see how Fischer took advantage of downsides of Opponent positions - even highly theoretical and subtle ones often with initial pawn sacrifices Be able to use the Kings Indian Attack system with White and Black with a great plan of overprotection and thorn pawn strategy Be able to see a high number of Fischer wins - Note Tal wins reserved for another course on Tal :) Be able to see amazing resources uncovered by the latest engine technology such as Stockfish Neural Network Be able to pick up opening knowledge, middlegame tactics and strategy and endgame knowledge Be able to appreciate the Nd5 springboard in the Ruy Lopez which was mentioned in Netflix Queen's Gambit Be able to know more of Fischer's games beyond My 60 memorable games and the Fischer Spassky 1972 match Be able to see why many Fischer's opponents lost including Tal when they had Knight vs Fischer Bishop endgames Be able to understand more Bobby Fischer's chess openings and how they are tailored sometimes to particular opponents in this time period Be able to see and appreciate the influence of Bobby Fischer's opening repertoire on Garry Kasparov with the Najdorf and King's Indian in particular Be able to see more subtle downsides of opponent's positions as Fischer improves even more tactically in these years Be able to see diversity emerge in Fischer's repertoire with different options against for example the Caro-Kann Defence Be able to see some absolute masterpieces Fischer played with dynamic pawn structures such as the Isolated Queen's Pawn Be able to put a "Fischer hat" on when those positions Fischer excelled at come in your own games Be able to see how Fischer often probes the opponent's position to encourage irreversible pawn moves Be able to see how Fischer targets structural weaknesses especially those with piece protection dependences such as backward pawns Requirements Knows the basic rules of chess and how the pieces move Description Dive into the pivotal era of chess history with Bobby Fischer's groundbreaking chess games: 1963-1968. This is an in-depth exploration of the chess legend's transformative years. Under the guidance of FIDE CM Kingscrusher, this course offers a comprehensive analysis of Fischer's game-changing strategies and tactical genius that reshaped modern chess.Course Highlights:Fischer's Opening Mastery: Engage with detailed analyses of Fischer's preferred 1.e4 opening, discovering the depth of his strategies against a variety of defenses. Delve into his pioneering approaches to the Sicilian Defense, Ruy Lopez, and Caro-Kann, unveiling the secrets that made his opening play legendary.Black Pieces Strategy: Explore Fischer's dominance with the black pieces, particularly through his mastery of the Sicilian Najdorf. Examine his dynamic play against 1.d4, including his innovative use of the King's Indian Defense, Nimzo-Indian Defense, and Modern Benoni Defense, to challenge and outmaneuver his opponents.Middlegame Tactics and Strategies: Learn from Fischer's tactical brilliance that often led to swift victories, with games concluding in less than 30 moves. Understand the intricacies behind his devastating attacks and how he orchestrated tactical combinations to leave his opponents in disarray.Endgame Mastery: Gain insights into Fischer's endgame finesse, especially in Bishop vs. Knight scenarios, known for their precision and elegance. Equip yourself with the knowledge to transition into and navigate endgames with the same confidence and skill.The Will to Win: Experience the essence of Fischer's indomitable spirit and determination, a trait that drove him to pursue victory relentlessly, often through multiple adjournments.This course not only invites you to witness the genius of Bobby Fischer during a critical period of his career but also empowers you to enhance your own chess skills. By understanding Fischer's approach and adopting his strategies, you'll gain invaluable insights and techniques to elevate your game.Join us on this extraordinary journey through Fischer's chess legacy from 1963 to 1968. Whether you're looking to improve your opening repertoire, refine your tactical play, or master the endgame, this course offers a unique opportunity to learn from one of the greatest minds in chess history, enriching your skills and fostering a deeper appreciation for the game. Who this course is for Beginner to Intermediate Chess players [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]]

The Ultimate Python Course: 100 Projects + Basics Published 1/2026 Created by Coding Fab MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch Level: Beginner | Genre: eLearning | Language: English | Duration: 214 Lectures ( 34h 3m ) | Size: 31.5 GB Learn Python from scratch by building 100 real-world projects, from basics to apps, automation, and AI What you'll learn Build 100 real-world Python projects step by step to gain practical coding skills. Build 100 hands-on Python projects across six core areas: Basics, Desktop Apps, Web Apps, Data Analysis, AI/ML, and Automation. Master Python fundamentals: variables, loops, functions, OOP, error handling, and file management. Develop real-world applications using Tkinter, and Flask. Analyze data with NumPy, Pandas, Matplotlib, and Seaborn while building practical visualizations. Apply machine learning techniques (classification, clustering, NLP, reinforcement learning). Automate daily tasks with scripts for file handling, email, scraping, and APIs. Requirements No prior coding experience required - we start with Python basics. Description The Ultimate Python Course: 100 Projects + Basics is a comprehensive, hands-on course designed to guide us from Python fundamentals to building real-world applications, automation tools, and AI-powered systems.This course follows a structured, step-by-step approach, where each section builds on the previous one and is reinforced through practical projects.Section 1: Introduction & Environment SetupPython IDEs and development toolsVisual Studio Code setup for macOS and WindowsJupyter Notebook and Google Colab setupPython environments and execution basicsThis section ensures we are fully prepared to start coding confidently from day one.Section 2: Python BasicsCore syntax: print, comments, variables, operators, and castingData types and structures: strings, lists, tuples, sets, and dictionariesControl flow: if-else statements, while loops, and for loopsFunctions, classes, and lambda functionsUser input handling and error handling with try-exceptFile handling and working with modulesThese fundamentals are reinforced through many hands-on projects, including calculators, trackers, games, and small utility applications.Section 3: Desktop Applications with TkinterTkinter basics, widgets, layouts, and event handlingDialogs, menus, styling with ttk, and keyboard shortcutsMulti-page applications, data handling, and app packagingWe build practical desktop applications such as notepads, login systems, expense trackers, and inventory managers.Section 4: Web Applications with FlaskFlask setup, routing, and HTTP methodsTemplates with Jinja2 and static filesForms, databases, and error handlingBuilding and deploying real web applicationsProjects include dashboards, authentication systems, APIs, and data-driven web apps.Section 5: Data Analysis with PandasLoading, exploring, cleaning, and analyzing dataFiltering, transforming, and exporting datasetsSection 6: Data Visualization with MatplotlibCore plotting concepts and plot typesCustomizing visuals and controlling axesSection 7: Numerical Computing with NumPyCreating arrays and array operationsIndexing, slicing, broadcasting, and linear algebraSection 8: AI & Machine LearningMachine learning foundations and workflowsRegression, classification, clustering, and reinforcement learningComputer vision, NLP, and model pipelinesReal-world ML projects and demosSection 9: Automation & ScriptingWeb scraping with BeautifulSoupBrowser automation with SeleniumUnit testing, integration testing, and file automationSection 10: Capstone ProjectsEnd-to-end applications combining multiple skillsML-powered apps, automation tools, and real-world systemsFinal course summary and next stepsBy the end of this course, we will have built 100 practical projects, gained strong Python fundamentals, and developed the confidence to build, automate, and deploy real-world applications using Python.. Who this course is for Beginners who want to learn Python through practical, step-by-step projects. Intermediate learners who want to expand their skills with apps, web development, and data projects. Students & job seekers who need coding practice for interviews or school assignments. Professionals & hobbyists who want to automate tasks, analyze data, or experiment with AI. Anyone curious about Python and looking for a portfolio of real projects to showcase.

Master Advanced Agentic Ai + Langgraph + Rag+memory -Jan'26 Published 1/2026 Created by Vignesh S MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch Level: Intermediate | Genre: eLearning | Language: English | Duration: 82 Lectures ( 8h 45m ) | Size: 8.4 GB 2026-ONLY COURSE on Production-Ready AI Agents with LANGCHAIN + LANGGRAPH + RAG + MULTI-AGENT + MEMORY for QA Automation What you'll learn Master Langchain and LangGraph frameworks for building production-grade AI agents Implement RAG (Retrieval-Augmented Generation) with vector databases for intelligent knowledge retrieval Build Multi-Agent Systems where specialized agents collaborate to solve complex QA tasks Add Memory and Context to agents for remembering past interactions and learning patterns Integrate agents with TestRail, Jira, and Slack for real-world QA workflow automation Requirements Understanding of basic agent concepts like prompts, LLM calls, and JSON parsing Description [THE ENTIRE COURSE HAS BEEN CREATED IN 2026 JANUARY WITH THE LATEST LANGCHAIN AND LANGGRAPH FRAMEWORKS]Ready to transform your basic agents into production-ready, intelligent systems used by top tech companies?Welcome to the ONLY course on Udemy that takes your existing AI agents from the beginner level to enterprise-grade systems using Langchain, LangGraph, RAG, Memory, and Multi-Agent orchestration.The demand for these skills is exploding. Senior QA roles paying $120K - $150K + require Langchain/LangGraph experience. This course gives you that.Why These Skills Matter in 2026:Companies hiring AI/ML Engineers for QA teams expect:✓ Langchain/LangGraph experience (now industry standard)✓ RAG implementation for proprietary knowledge✓ Multi-agent orchestration patterns✓ Production deployment knowledge✓ Cost optimization and scalabilityThis course covers ALL of that.By the End of This Course:✓ Build production-grade agents with Langchain and LangGraph✓ Implement RAG for company-specific knowledge retrieval✓ Create multi-agent systems for complex workflows✓ Add memory so agents learn from past interactions✓ Deploy agents that integrate with real QA tools✓ Optimize costs and performance at scale✓ Confidently discuss advanced agentic AI in interviews✓ Have portfolio projects that demonstrate enterprise skillsWhat Makes This Course Different?We don't start from scratch. We take the TestCase Generator and Log Analyzer agents you already built and progressively upgrade them with powerful capabilities. Every code change is tracked on GitHub with tags - you can see exactly how your agents evolve from basic to advanced.You'll Build On Your Existing Code:In the beginner course, you built agents in the src/agents/ folder using vanilla Python. In this course:- Section 4: Migrate to Langchain (src/agents_v2/)- Section 5-8: Rebuild with LangGraph graphs (src/graph/)- Section 9-14: Add RAG, Memory, and Multi-Agent capabilitiesThis progressive approach prevents confusion and lets you compare vanilla Python vs frameworks side-by-side.What You'll Master in This Course:1. Langchain Framework (Foundation)Learn the industry-standard framework for LLM applications. Understand chains, prompts, output parsers, and when to use Langchain vs vanilla Python. Migrate your existing agents to Langchain in under 20 lines of code.2. LangGraph (Main Framework for Complex Agents)Master stateful, graph-based agent workflows. Build agents with conditional routing, error recovery, retry logic, and human-in-the-loop approval. LangGraph is what production systems use for reliability.3. RAG & Vector DatabasesStop generating generic outputs. Teach your agents company-specific knowledge using ChromaDB. Implement semantic search to retrieve relevant test cases, logs, and documentation. Your agents will reference YOUR data, not generic internet knowledge.4. Memory & Context ManagementBuild agents that remember past conversations and learn from previous interactions. Implement short-term memory (conversation history) and long-term memory (persistent vector storage). Your agents will get smarter over time.5. Multi-Agent SystemsOne agent is good. Multiple specialized agents working together is unstoppable. Learn the Supervisor Pattern where a coordinator agent orchestrates specialist agents (Log Analyzer → Root Cause Investigator → Solution Recommender). Real production systems work this way.6. Human-in-the-Loop WorkflowsProduction agents need human oversight. Implement approval nodes where agents pause for human review before taking critical actions. Build feedback loops for iterative refinement.Real-World Integration:- TestRail API: Push generated test cases directly to test management- Jira API: Auto-create bugs from log analysis- Slack: Send agent reports to team channels- Webhook Triggers: Start agents from external eventsWhat You Get:- 7+ hours of advanced hands-on tutorials- Complete source code on GitHub with tags for every topic- Side-by-side comparison: Vanilla → Langchain → LangGraph- Production-ready patterns and best practices- Real integration examples (TestRail, Jira, Slack)- Support for the latest Langchain and LangGraph- Lifetime access and free updatesWhy Wait? Your Agents Are Ready for an Upgrade.Enroll now and build the advanced AI systems that companies actually deploy in production.See you inside! Who this course is for QA Engineers who completed the beginner course and want production-ready agent skills Senior Test Automation Engineers looking to integrate AI into enterprise testing workflows Python Developers building LLM-powered applications for QA and testing domains Tech Leads evaluating Langchain and LangGraph for team adoption and scalability AI Engineers specializing in agentic systems for software quality assurance

Quantitative Finance Masterclass: Preparing For Interviews Published 1/2026 Created by Chaimae Labzar MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch Level: Beginner | Genre: eLearning | Language: English | Duration: 21 Lectures ( 2h 33m ) | Size: 1.5 GB From Derivatives Fundamentals to Asian Option Pricing: A Complete Quant Prep What you'll learn Derivatives Fixed income Pricing Models Real-World Applications Requirements Basic understanding of finance concepts High school mathematics (algebra, exponents) Willingness to engage with quantitative material {No advanced math or programming required!} Description Quantitative Finance Masterclass: Preparing for InterviewsFrom Derivatives Fundamentals to Asian Option Pricing: A Complete Quant PrepThis masterclass is designed for students and professionals preparing for quantitative finance interviews, with a strong focus on derivatives, stochastic modeling, and practical option‑pricing techniques. The course bridges the gap between academic theory and the fast‑paced expectations of quant interviews, giving you the tools, intuition, and confidence to perform under pressure. You will begin by reviewing the essential foundations of derivatives, including forwards, futures, swaps, and the full range of vanilla and exotic options. From there, we dive deeper into pricing frameworks, arbitrage arguments, and risk‑neutral valuation. A significant portion of the course is dedicated to Asian options, where you will learn the mathematical structure behind path‑dependent payoffs, common approximations, Monte Carlo methods, and how these topics typically appear in interviews.By the end, you will have a solid command of derivatives theory, hands‑on pricing intuition, and the ability to tackle quant interview problems with clarity and confidence.More content will be added soon to meet your requirements.Please feel free to contact us for further details - we'll be glad to hear from you and welcome your feedback!For any certification-related issues, please contact Udemy directly.They'll be able to assist you with verification, access, or any other certification concerns. Who this course is for Finance Student Financial Professionals Serious Investors

Ai Video Faceswap 2.0.2 Languages: Multilingual File Size: 1.42 GB Unleash your creativity and create hilarious, amazing, and viral videos with AI Video Faceswap! AI Video Faceswap is the ultimate tool for seamlessly swapping faces in videos, all from the privacy of your own computer. Our advanced AI technology ensures realistic and high-quality results, making professional-level video editing accessible to everyone. Whether you're making funny clips for social media, creating unique content for your channel, or just having fun with friends, our app makes it simple, fast, and completely secure. One-Click AI Face Swap Our intelligent AI does all the hard work. Just select your video, choose the face, and let the magic happen. No complex editing skills required! 100% Private & Offline Your privacy is paramount. All processing happens directly on your computer. Your videos and photos never leave your device, ensuring complete confidentiality. No uploads, no cloud, no data collection. Your creations are for your eyes only. Blazing-Fast GPU Acceleration Harness the full power of your hardware! Our app utilizes your computer's GPU (NVIDIA, AMD, etc.) to dramatically speed up the face swapping process. Pay Once, Own Forever No subscriptions, no hidden fees. A single, one-time purchase gives you unlimited access to all features, forever. Enjoy creating endless videos without worrying about recurring payments. High-Quality & Realistic Results Produce seamless, high-resolution videos that look incredibly real. No Ads, No Watermarks Enjoy a clean and uninterrupted creative experience. Your final videos are completely yours, with no distracting ads or watermarks. Release Notes- Supports more languages - Supports swapping target faces based on different angles - Default DML (if applicable) - Improved user interface functionality - Bug fixes System Requirements - OS: Windows 10 version 17763.0 or higher

Ai Video Faceswap 2.0.2 Languages: Multilingual File Size: 1.42 GB Unleash your creativity and create hilarious, amazing, and viral videos with AI Video Faceswap! AI Video Faceswap is the ultimate tool for seamlessly swapping faces in videos, all from the privacy of your own computer. Our advanced AI technology ensures realistic and high-quality results, making professional-level video editing accessible to everyone. Whether you're making funny clips for social media, creating unique content for your channel, or just having fun with friends, our app makes it simple, fast, and completely secure. One-Click AI Face Swap Our intelligent AI does all the hard work. Just select your video, choose the face, and let the magic happen. No complex editing skills required! 100% Private & Offline Your privacy is paramount. All processing happens directly on your computer. Your videos and photos never leave your device, ensuring complete confidentiality. No uploads, no cloud, no data collection. Your creations are for your eyes only. Blazing-Fast GPU Acceleration Harness the full power of your hardware! Our app utilizes your computer's GPU (NVIDIA, AMD, etc.) to dramatically speed up the face swapping process. Pay Once, Own Forever No subscriptions, no hidden fees. A single, one-time purchase gives you unlimited access to all features, forever. Enjoy creating endless videos without worrying about recurring payments. High-Quality & Realistic Results Produce seamless, high-resolution videos that look incredibly real. No Ads, No Watermarks Enjoy a clean and uninterrupted creative experience. Your final videos are completely yours, with no distracting ads or watermarks. Release Notes- Supports more languages - Supports swapping target faces based on different angles - Default DML (if applicable) - Improved user interface functionality - Bug fixes System Requirements - OS: Windows 10 version 17763.0 or higher

Foundation Of Ai, Ml, Nn And Genai + Capstone Project Published 1/2026 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 6h 19m | Size: 7.84 GB Learn AI, ML, Neural Networks & Generative AI from scratch with real-world concepts and a capstone approach What you'll learn Understand how AI systems differ from traditional software Identify different types of AI and real-world AI workloads Clearly explain Machine Learning concepts, algorithms, and models Understand how ML models are trained, evaluated, and used Build and use a basic ML model using Python Understand Artificial Neural Networks and Deep Learning Learn key neural network architectures Understand Generative AI concepts and use cases Learn how Autoencoders, GANs, Diffusion models, and Transformers work Understand LLMs, SLMs, fine-tuning, and AI agents Requirements No prior AI, ML, or GenAI experience required Basic computer knowledge is enough Basic Python knowledge is helpful but not mandatory A willingness to learn concepts step-by-step Curiosity about how intelligent systems are built Description Artificial Intelligence is no longer optional-it is becoming a core skill across industries. However, most learners struggle because AI courses are either too mathematical, too abstract, or jump straight into tools without building strong fundamentals.This course solves that problem.Foundation of AI, ML, NN & GenAI + Capstone Project is a carefully structured beginner-to-intermediate course that helps you understand how AI systems actually work, from classical Machine Learning to modern Generative AI and Large Language Models.You'll start by learning what AI truly is, how AI systems differ from traditional software, and where AI is used in real-world scenarios. From there, you'll build a solid foundation in Machine Learning-understanding algorithms, models, training workflows, evaluation methods, and career paths.Next, you'll move into Artificial Neural Networks and Deep Learning, creating the bridge to Generative AI. You'll then explore GenAI concepts, understand different GenAI models, and learn how technologies like Autoencoders, GANs, Diffusion Models, and Transformers power today's AI applications.The course also covers LLMs, fine-tuning, AI agents, major AI labs, and ethical AI principles, giving you industry-relevant awareness that most beginner courses miss.This course focuses on clarity, structure, and real-world understanding, not just buzzwords. Whether you want to enter AI, upgrade your skills, or confidently talk about GenAI in professional settings-this course gives you the foundation you need. Who this course is for Beginners with no prior AI/ML background Students and fresh graduates exploring AI career paths Software developers who want to transition into AI/ML or GenAI Working professionals curious about how modern AI systems actually work Non-technical professionals who want to understand AI concepts, GenAI, and LLMs clearly Anyone planning to move into Data Science, ML Engineering, or GenAI roles HomepageScreenshot

Excel Copilot Tutorial: Ms Office 365 Copilot For Excel Published 1/2026 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 1h 5m | Size: 1.09 GB Excel Copilot Tutorial: Use Microsoft Copilot for Excel in MS Office 365 to Work Faster What you'll learn What Excel Copilot is and how it works inside Microsoft 365 How to set up and access Copilot in Excel Writing Excel formulas using plain language Handling logic and conditions with Copilot Search and lookup tasks using Copilot Cleaning messy data automatically Creating pivot tables using Copilot prompts Generating charts and summaries Sorting and filtering large datasets Using Copilot safely without breaking sheets Requirements Basic knowledge of Excel (opening files, cells, sheets) Microsoft 365 or MS Office 365 access Excel Copilot enabled in your account A laptop or desktop computer Willingness to practice alongside lessons Description Excel is already powerful. Excel with Copilot changes how work gets done.This course teaches you how to use Excel Copilot inside MS Office 365 / Microsoft 365 to handle formulas, logic, data cleanup, analysis, pivot tables, charts, and everyday spreadsheet tasks with speed and confidence.Most Excel users struggle with formulas, nested logic, lookup errors, messy data, and slow reporting. They spend hours searching online or fixing sheets by trial and error. Excel Copilot removes that pain - but only if you know how to talk to it correctly.This course shows you how to think, ask, and work with Copilot so Excel becomes faster, cleaner, and easier.You won't just watch features. You will practice real tasks:Writing formulas using natural languageFixing broken logic without guessingCleaning raw data in minutesCreating pivot tables and charts without manual setupSearching, sorting, and filtering large datasetsTurning questions into answers directly inside ExcelEach lecture follows a simple rule: one real problem, one clear solution using Copilot.By the end of the course, you will stop fearing formulas and stop wasting time on manual steps. You will know how to guide Copilot to do the heavy work while you stay in control.What changes after this course?Before:You Google formulas again and againYou hesitate with IF, VLOOKUP, XLOOKUP, and logicYou clean data row by rowYou avoid pivot tablesReports take too longAfter:You describe what you want, Copilot writes itYou check, adjust, and move onData cleanup feels quick and predictableAnalysis feels structuredYou focus on decisions, not syntaxThis course is not theory-heavy. It is task-driven and practical. Every section follows real Excel use at work - finance, marketing, HR, operations, sales, or admin roles.If you skip learning Excel Copilot now, you risk falling behind coworkers who finish work faster using the same tool you already have access to. Excel itself hasn't changed - how work gets done has.This course helps you stay relevant, confident, and efficient inside Microsoft Excel.You do not need to be an Excel expert. You only need basic Excel awareness and access to Microsoft 365 with Copilot enabled. Who this course is for Office professionals working with Excel Business analysts and data users Finance, HR, sales, and operations teams Students learning Excel for work readiness Freelancers handling reports and data Anyone who wants faster Excel results with Copilot [Hidden Content]

[center][img][Hidden Content]] [b]Docker For Node.Js & Nestjs Developers Part 01[/b] Published 1/2026 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 2h 4m | Size: 1.25 GB [/center] Learn Docker from scratch by containerizing Node.js & NestJS apps using Dockerfiles, Docker Compose, PostgreSQL What you'll learn Understand Docker fundamentals and build the correct mental model to confidently use Docker as a Node.js or NestJS developer. Create Dockerfiles and containerize Node.js applications, including image building, container running, port mapping, and env variables. Dockerize a real-world NestJS application using production-ready Docker strategies and environment configuration best practices. Use Docker Compose to run multi-service backend systems locally with NestJS, PostgreSQL, Redis, networking, and volumes. Requirements Basic knowledge of JavaScript and Node.js is required. No prior Docker or DevOps experience is needed - everything is explained step by step. Description Docker has become a must-have skill for modern backend developers, yet most tutorials teach Docker from a DevOps or sysadmin perspective, leaving Node.js and NestJS developers confused, overwhelmed, and frustrated.This course is designed specifically for backend developers who want to use Docker confidently, not become infrastructure experts.You'll start by building the correct mental model of Docker - why it exists, what problems it solves, and how it fits naturally into a Node.js and NestJS development workflow. No unnecessary theory, no Linux deep dives - only what actually matters for developers.From there, you'll containerize a real Node.js application, write your first Dockerfile, understand every instruction line-by-line, build images, run containers, map ports, and manage environment variables correctly.Next, you'll move into real-world NestJS projects. You'll learn how to Dockerize a production-ready NestJS backend, handle .env files safely, differentiate between development and production Dockerfiles, and debug applications running inside containers.Finally, you'll master Docker Compose, allowing you to run multi-service applications locally - just like production. You'll connect NestJS with PostgreSQL and Redis, understand Docker networking, volumes, hot reloading, and environment separation.By the end of this course, you will:Understand Docker without fearConfidently Dockerize Node.js and NestJS appsRun full backend stacks locally using Docker ComposeAvoid common Docker mistakes developers makeBe job-ready for Docker-based backend rolesThis course focuses on practical skills, real projects, and developer clarity - not buzzwords.If you're a Node.js or NestJS developer who wants to finally understand Docker the right way, this course is for you. Who this course is for Node.js and NestJS backend developers who want to understand Docker clearly and use it confidently in real-world projects. Backend developers confused by Docker tutorials made for DevOps engineers Developers preparing for backend or full-stack job interviews involving Docker Software engineers who want to run production-like environments locally [Hidden Content] [Hidden Content] [/hide]

[center][img][Hidden Content]] Ai Video Creation: Viral Content Published 1/2026 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 1h 26m | Size: 1.88 GB [/center] AI-driven Workflow for creating viral short-form videos What you'll learn Create viral AI-generated videos using a clear, repeatable production workflow Generate AI visuals and animations efficiently, using both paid and free tools Edit AI videos for maximum retention, including pacing, looping, and strong opening frames Build a scalable content system to produce multiple videos per week and understand practical ways AI video content can be applied to YouTube and client works Requirements No prior AI, video editing, or design experience is required. Basic computer skills and an interest in content creation, AI tools, or digital media are enough. All workflows and tools are explained step by step during the course. Description AI is rapidly changing how video content is created and consumed. Today, it's possible to produce high-quality, engaging videos without years of experience in traditional 3D software or large production teams. This course is designed to show you how modern AI tools can be used as a practical creative system - from idea to final video.In this course, you'll learn a clear, repeatable workflow for creating viral AI-generated videos. We start with ideation, where you'll understand how viral short-form content works and how to identify high-potential ideas across different niches. You'll learn how to structure scripts that are optimized for attention and retention.Next, we move into the AI content creation pipeline. You'll see how to generate images and animations using current AI tools, how to balance quality and speed, and how to choose between free and paid solutions depending on your goals. The focus is not on tools alone, but on building a system that works consistently.You'll also learn editing techniques specifically for short-form and social media content - including first-frame hooks, rhythm, looping, and retention principles. A reusable editing template is shared so you can apply the same structure again and again.Finally, the course covers scaling your workflow. You'll learn how to organize production, increase output without burnout, and understand how AI-generated videos are used in real-world contexts such as marketing, advertising, and digital media projects.This course is practical, system-based, and focused on real results - whether you're creating content for personal projects, professional use, or exploring new creative opportunities with AI. Who this course is for This course is for content creators, designers, marketers, and beginners who want to create viral AI-generated videos. It's ideal for anyone interested in AI video creation for social media, advertising, or personal projects, as well as creators looking to understand how AI content can be applied in real-world production and monetization scenarios. [Hidden Content] [/hide]

[center] [img][Hidden Content]] Reverse Engineering 2: Windows Gui Programs Last updated 12/2025 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 4.45 GB [/center] | Duration: 4h 3m Reverse engineer Windows Graphical User Interface programs with xdbg [b]What you'll learn[/b] Disassemble windows programs Reversing jumps Patching Debugging windows programs Solving crackme's NOP instructions Modifying EAX register values Setting Hardware Breakpoints Memory Patching Intermodular Call Method Call Stack Method Understand how Trial Period works Understand how Software Registration process works Remove Nag Screens [b]Requirements[/b] Preferably have Completed Reverse Engineering 1: x64dbg Debugger for Beginners, or already know how to use x64dbg Windows PC [b]Description[/b] In the first course in this series entitled Reverse Engineering 1: x64dbg Debugger for Beginners, you learnt how to reverse engineer a command line program and learnt how to debug and step over and patch and much more. Now, in this 2nd course, you will continue learning. This time we will be learning how to reverse engineer graphical user interface programs. As usual, we will work with crackme's that I have written for you to practice reversing.What you will learn:How to disassemble programs into assembly codeDynamic AnalysisSetting breakpoints and stepping through codeModify program behaviourPatching programsIntermodular Call MethodCall Stack MethodHardware BreakpointsMemory PatchingPatching EAX register valuesUnderstanding Trial Period softwareUnderstanding Software Registration processThank you and see you inside. Computing students who want to learn how to disassemble and debug windows programs,Anyone who is interested in reverse engineering,Programmers who want to know how to fix bugs in programs without the source code [quote][Hidden Content] @ [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content] [/quote]

[center][img][Hidden Content]] Create A Full Saas Explainer Video In Adobe After Effects Published 1/2026 Created by Valeri Visuals MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch Level: Intermediate | Genre: eLearning | Language: English | Duration: 25 Lectures ( 12h 3m ) | Size: 12 GB [/center] [i]A complete workflow from script and UI design to clean animation[/i] [b]What you'll learn[/b] Turn a script into a clear visual storyboard Prepare Figma and Illustrator files for animation Organize complex UI scenes for a smooth workflow Animate transitions, UI demos, and product flows Add cursor interactions, 3D layers, and camera moves Polish your video with sound, color, and text animation [b]Requirements[/b] Adobe After Effects installed on your computer Basic understanding of After Effects (layers, precomps, and keyframes) Basic familiarity with Adobe Illustrator is helpful but not required No previous experience with SaaS explainer videos is needed [b]Description[/b] SaaS explainer videos are one of the most in-demand skills in motion design today. But for many designers, creating a full SaaS explainer video feels overwhelming. They know how to animate, but they don't know how to structure a real project from start to finish. This course is designed to solve that problem.In this course, you will learn how to create a full SaaS explainer video in Adobe After Effects, using a clear, professional workflow that is actually used in real client projects. We do not focus on random effects or shortcuts. Instead, we focus on structure, clarity, and decision-making.You will follow the entire process step by step. We start by understanding the script and turning it into a clear visual storyboard. Then you'll learn how to prepare UI designs from Figma for animation using Adobe Illustrator. After that, we move into After Effects, where you'll organize complex UI scenes, animate product flows, transitions, and UI demos, and build the full explainer video.Throughout the course, the focus is on creating motion that supports the message, stays clean, and remains easy to understand. You'll also learn how to avoid common beginner mistakes that make SaaS explainer videos look confusing or unprofessional. By the end of the course, you will have completed the same full SaaS explainer video created during the lessons, and you'll have a clear workflow you can reuse in future projects.The final result is a portfolio-ready SaaS explainer video you can confidently show to clients or include in your showreel. If you know the basics of After Effects but feel lost when starting real projects, this course will give you clarity, confidence, and a repeatable process. [b]Who this course is for[/b] Beginner motion designers who want to create real SaaS explainer videos Designers who know basic After Effects but feel lost on full projects UI or graphic designers who want to move into motion design Creatives who want a clear, repeatable workflow for SaaS animation Freelancers who want a portfolio-ready SaaS explainer video [quote][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] [/quote]

[Hidden Content] Odoo 19 Erp: Complete Accounting, Sales &purchase Management Published 1/2026 Created by VedAK_Mastery _Hub MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch Level: All | Genre: eLearning | Language: English | Duration: 66 Lectures ( 11h 8m ) | Size: 7.89 GB [/center] [i]Master Odoo 19 ERP: Accounting, Sales, Purchase Management , Inventory & Automation for Smarter Business Management[/i] [b]What you'll learn[/b] Introduction to Odoo 19 ERP and its modules Setting up your company in Odoo 19 Creating and processing sales orders Managing purchase orders and vendor bills Tracking expenses and reimbursements Managing customer invoices and payments Handling different payment methods Setting up product categories and pricelists Managing inventory operations: receipts, deliveries, and transfers Stock adjustments and inventory valuation Barcode and QR code usage in inventory Managing subscriptions and recurring revenues Introduction to manufacturing: BOMs and work orders Planning and scheduling manufacturing operations Tracking production costs and efficiency Reporting: sales, purchases, inventory, and accounting reports Access rights and user management Integration between modules for automated workflows Best practices for using Odoo 19 efficiently in business [b]Requirements[/b] Familiarity with using computers and navigating software applications. No prior experience with Odoo is required - this course is suitable for beginners and intermediate users alike. [b]Description[/b] Step into the world of modern business management with Odoo 19 ERP, the all-in-one platform trusted by companies worldwide. This comprehensive course is designed to transform you into a confident Odoo user, mastering Accounting, Purchase, Sales, POS, Inventory, and Expense Management. Whether you're an accountant, operations manager, ERP consultant, or business owner, this course equips you with practical skills to streamline workflows, improve financial accuracy, and make smarter business decisions.From core accounting and automated reconciliation to advanced inventory valuation and purchase management, you'll learn how to harness the full potential of Odoo 19. With step-by-step instructions, real-world examples, and hands-on exercises, this course takes you from the basics to advanced features, ensuring you leave with skills that are immediately applicable in a professional setting.Gain the competitive edge by learning automation techniques, reporting insights, and best practices that help reduce errors, save time, and increase operational efficiency. Become a pro at leveraging Odoo's powerful tools to manage your business seamlessly.Who This Course Is ForAccountants, finance managers, and bookkeepers looking to automate and optimize accounting workflows.Procurement and inventory professionals aiming to streamline purchase and inventory operations.Sales managers, POS operators, and CRM specialists wanting to enhance sales and customer management processes.Entrepreneurs and business owners seeking full control over finance, stock, and revenue streams.Anyone aiming to become an Odoo 19 certified professional or ERP consultant.Why Join This CourseLearn everything you need in one course-Accounting, Purchase, Sales, POS, Inventory, and Expenses.Hands-on, practical approach with real-life examples and workflows.Boost productivity by mastering automation, templates, shortcuts, and dashboards.Gain insights into financial analysis, MRR, and reporting for informed decision-making.Develop skills that are highly sought after in modern ERP implementations.What You'll LearnAccounting Mastery: From invoicing, bank reconciliation, and financial reporting to automation and best practices.Purchase & Vendor Management: Streamline procurement, RFQs, purchase orders, bills, and alerts.Inventory Control: Track stock, perform valuations, manage MTO and dropshipping, and optimize warehouse operations.Sales & CRM: Manage orders, pipelines, catalogs, and online payments with Odoo CRM and POS integration.Expense & Subscription Revenue: Track company and employee expenses, set up subscription products, and analyze MRR.Advanced Insights: Use dashboards, reports, and analytics to make data-driven decisions.Modules OverviewModule 1: Mastering Odoo 19 Accounting: Features, Automation, and InsightsWhat's New in Odoo 19 AccountingOptimizing Invoice Creation and Payment ProcessingEnhancements in Bank Statement Matching and ReconciliationLeveraging Automation for Daily Accounting TasksIn-Depth Financial Reports and Business InsightsBest Practices for Improving Accounting Performance in OdooModule 2: Odoo 19 Accounting Mastery: Features, Security, and EfficiencyExploring the Latest Innovations in Odoo 19 AccountingA Deep Dive into the New Accounting FeaturesManaging User Roles and Access PermissionsCore Accounting Features and WorkflowsPractical Accounting Tips and ShortcutsConfiguring and Managing Bank ChargesModule 3: Odoo 19 Accounting: Reconciliation, Configuration, and Financial AnalysisUnderstanding the Accounting Reconciliation ModelSetting Up and Customizing the Chart of AccountsRecreating and Correcting InvoicesLinking and Managing Bank AccountsPerforming Accurate Bank ReconciliationAnalyzing Financial Performance with Profit & Loss ReportsModule 4: Odoo 19 Purchase Management & Vendor BillingIntroduction to Purchase ManagementCreating and Sending Requests for QuotationConfirming Purchase Orders and Receiving GoodsVendor Bill Management and Payment ProcessingSetting Alerts for Vendors and Product ReordersStep-by-Step Guide to Creating Purchase BillsModule 5: Advanced Purchase Management in Odoo 19Comparing Product Prices from Multiple VendorsLocking Confirmed Purchase OrdersRequest for Quotation WorkflowUploading and Attaching BillsVendor Management and OrganizationManaging Make-to-Order ProductsModule 6: Advanced Procurement & Inventory Insights in Odoo 19Using Purchase Templates for Streamlined OrdersDropshipping Setup and ManagementAnalyzing Purchase Data and ReportsHandling Returns and Refunds EfficientlyTechniques for Accurate Inventory ValuationAssessing Stock Value and WorthModule 7: Advanced Sales and Inventory Management in Odoo 19Mastering Sales in Odoo 19Complete Guide to Sales ManagementUnderstanding Stock ValuationInventory Valuation ExplainedRevamp in Sales & Purchase ReceiptsImproved Catalog in Sales and PurchaseHow to Generate a Payment LinkModule 8: Sales and CRM Integration in Odoo 19Adding QR Codes to InvoicesCreating a Sales OrderAccess Rights in SalesManaging Your Sales Pipeline in CRMModule 9: Odoo 19 Point of Sale (POS) & Sales OperationsGetting Started with POSMastering Point of SalePOS Complete WalkthroughHow to Create PricelistsHow to Create Commission PlansCash on Delivery SetupModule 10: Odoo 19 Inventory ManagementInventory Management: Basics to AdvancedComprehensive Inventory WorkflowsLatest Features and ImprovementsAdvanced Updates and EnhancementsAccess Rights in InventoryMastering Stock ValuationModule 11: Comprehensive Inventory Operations & ValuationComplete Guide to Inventory ValuationInventory Management in Community EditionPerforming Internal Inventory TransfersQuality Control Overview and Best PracticesStock Removal Strategies: FIFO, LIFO, and Advanced TechniquesModule 12: Expense Management & Subscription RevenueTracking Company Expenses: Complete WorkflowEmployee Expense Management and CategoriesCreating and Selling Subscription ProductsMonthly Recurring Revenue (MRR) AnalysisDon't wait to level up your ERP skills! Enroll in this Odoo 19 ERP: Complete Accounting, Sales & Inventory Course today and gain the expertise to manage finance, sales, inventory, and operations like a pro. Transform your career, streamline business processes, and become the go-to Odoo expert in your organization. [b]Who this course is for[/b] Business Owners & Entrepreneurs who want to streamline accounting, sales, inventory, and manufacturing. Accountants, Finance, and Operations Professionals looking to master Odoo 19 ERP for efficient business management. ERP Beginners who want a complete, hands-on introduction to Odoo 19 modules. IT & ERP Consultants aiming to expand their skills in Odoo implementation and support. Students & Career Changers who want practical ERP experience to boost employability in business and finance roles. 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[center][img][Hidden Content]] Network Firewalls For Beginners - With Hands-On Labs Last updated 1/2026 Created by Dan Mill MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch Level: Beginner | Genre: eLearning | Language: English + subtitle | Duration: 54 Lectures ( 4h 56m ) | Size: 1.56 GB [/center] [i]Master the Basics of Network Firewalls: Protecting Networks with Essential Security Knowledge and Hands-on Labs[/i] [b]What you'll learn[/b] What firewalls are and their role in securing networks. The difference between hardware, software, and virtual firewalls. A detailed comparison of different firewall types, such as packet-filtering, stateful inspection, next-generation firewalls (NGFW), and proxy firewalls. How to configure firewall rules and understand their importance in controlling network traffic. The role firewalls play in securing site-to-site and client-to-site VPN connections. Exploring additional firewall services such as botnet protection, DNS filtering, and intrusion prevention systems (IPS). Applying firewall concepts to real-world network environments. [b]Requirements[/b] Familiarity with fundamental networking concepts like IP addresses, ports, and protocols (such as TCP/IP) will be helpful. No advanced knowledge is required, but having an interest in how networks are secured will enhance the learning experience. This course is designed for beginners, so no prior experience with firewalls is necessary. All topics will be explained from the ground up. [b]Description[/b] In today's digital world, securing networks is more important than ever. Firewalls are a critical line of defense in network security, protecting sensitive data from threats and unauthorized access. In this "Network Firewalls" course, you will gain a solid understanding of firewalls and how they help secure modern networks.Designed for beginners and those new to network security, this course covers the fundamental concepts of firewalls, including their purpose, types, and how they operate within a network. We'll explore the differences between hardware, software, and virtual firewalls, giving you a clear understanding of which firewall solution best fits various environments. You will also dive into firewall rules and policies, learning how to configure them to manage traffic effectively and ensure a secure network perimeter.To reinforce your learning, the course includes hands-on labs using WatchGuard Firewalls. These labs provide real-world experience, allowing you to configure and manage firewalls in a controlled environment. You will get practical exposure to setting up firewall rules, troubleshooting network issues, and understanding how firewalls operate in live environments.Additionally, the course provides insights into Virtual Private Networks (VPNs), including site-to-site and client-to-site VPN configurations, and how firewalls play a critical role in securing these connections. We'll also explore advanced firewall services such as botnet protection, DNS filtering, and intrusion prevention systems (IPS), offering a complete view of the comprehensive security features modern firewalls provide.Whether you're an aspiring IT professional, a small business owner, or simply someone curious about network security, this course will equip you with the knowledge needed to understand and manage firewalls confidently. By the end of the course, you'll have a practical understanding of how firewalls function, enabling you to make informed decisions about your network's security and protect it from potential threats.Best of all, when you complete the course, you'll earn a professional Certificate of Completion that you can proudly add to your résumé and LinkedIn profile — helping you stand out in today's competitive IT job market. This certificate demonstrates that you have the skills and confidence to contribute from day one — exactly what employers are looking for.Take the first step in mastering network security—enroll today and start learning how firewalls, along with hands-on experience using WatchGuard Firewalls, can safeguard your systems! [b]Who this course is for[/b] Individuals starting their journey in IT, networking, or cybersecurity who want to gain foundational knowledge about firewalls and network security. Those interested in pursuing careers as network administrators, IT support specialists, or cybersecurity analysts looking to understand how firewalls function and how to configure them. IT professionals who may not have hands-on experience with firewalls but want to broaden their knowledge of network security. [quote][Hidden Content] @[Hidden Content] [Hidden Content] [Hidden Content] [Hidden Content]]