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View File Context Engineering File Name: Context Engineering Content Source: https://www.manning.com/books/context-engineering Genre / Category: E-Books Language: ENGLISH Price: $35.99 ABOUT THE E-BOOKS The responses from large language models (LLMs) are more accurate, consistent, and explainable when you provide specific relevant information, or context, to support your prompts. Context engineering is the discipline of selecting, organizing, updating, compressing, and prioritizing the precise context a model needs to generate accurate responses. This book shows you how to combine well-designed prompts with smart search, content filtering, and advanced RAG techniques incorporating many types of stored data to create reliable responses in your AI applications. Because context engineering is typically implemented programmatically, automation is essential as applications evolve from simple prompts to workflows, agents, and agentic systems. Context engineering is particularly critical with the rise of autonomous agents and context windows that can take in a million or more tokens. Irrelevant or poorly selected context raises the chance of hallucinations, brittle agents, and unpredictable outputs. In Context Engineering, author Boni García helps you design an AI’s information environment with the same rigor as your codebase. It unifies every part of the context stack—including RAG, memory, and harness engineering—into one coherent discipline. The book takes you hands on with the entire context engineering stack. You'll learn how to use tools such as DSPy, LangChain, CrewAI, and LlamaIndex to build context-aware AI applications with frontier models from OpenAI, Anthropic, and Google. Because each chapter builds intuition first and ends with a practical hands-on section grounded in real tools, you’ll come away thinking like a system designer who knows exactly what enters the context window, what stays out, what gets retrieved just in time, and what becomes persistent memory or state. what's inside Design instructions and agent skills to govern model behavior Ground responses with RAG and external knowledge retrieval Integrate tools and the Model Context Protocol (MCP) Manage memory and state in agents and agentic systems Orchestrate multi-agent coordination and interoperability Deliver production-ready AI systems through evaluation, observability, governance, and operations Submitter S A N Submitted 06/25/2026 Category E-Books Sale page https://www.manning.com/books/context-engineering  

View File Codex CLI - Agentic Engineering from First Principles File Name: Codex CLI - Agentic Engineering from First Principles Content Source: https://leanpub.com/codex-cli Genre / Category: E-Books Language: ENGLISH Price: $19.99 ABOUT THE E-BOOKS Codex CLI: Agentic Engineering from First Principles is the most comprehensive guide to agentic software engineering with OpenAI's command-line coding agent. Across 28 chapters in six parts, you'll move from first principles to production workflows and team-scale practice: prompting and AGENTS.md configuration, approval modes and kernel-level sandboxing, model selection, context and cost management, MCP servers, hooks, skills, sub-agents and orchestration, worktrees, CI/CD integration, security hardening, and enterprise deployment. Later chapters cover debugging and testing agentic workflows, AI code review, practical engineering guides (codebase migration, backend, frontend, and infrastructure as code), and the bigger picture: benchmarks, competing tools, harness engineering, and how to structure an agentic engineering team. Whether you're a solo developer looking to multiply your output or an engineering lead rolling out agentic workflows across a team, this book gives you the mental models and practical techniques to work effectively with AI coding agents. Written by Daniel Vaughan and drawing on real-world experience and community insights, it equips every chapter with learning objectives, worked examples, and hands-on exercises. Submitter S A N Submitted 06/25/2026 Category E-Books Sale page  

View File AWS Bootcamp: Build AI Apps with AWS Bedrock File Name: AWS Bootcamp: Build AI Apps with AWS Bedrock Content Source: https://zerotomastery.io/courses/learn-aws-bedrock/ Genre / Category: Coding Courses Language: ENGLISH Original Price: $249 ABOUT THE COURSE: AWS Bedrock is Amazon Web Services' fully managed platform for building Generative AI applications. It lets you work with powerful foundation models while abstracting away infrastructure complexity. This course will take you from zero to building production-ready AI applications...even if you're completely new to Generative AI! Projects will integrate AWS Bedrock with API Gateway, AWS Lambda, S3, AgentCore, Postman, and other essential AWS services. Why This AWS Bedrock Course? Well, because it's the best, most up-to-date, and practical AWS Bedrock course online that lets you get hands-on by building six AWS Bedrock projects so that you can actually use your skills in the real-world. But of course we're biased. So here's some more details about what you'll learn in this AWS Bedrock course so that you can make up your own mind: 1. AWS Bedrock & Generative AI Foundations Understand what AWS Bedrock is, how it fits into the Generative AI ecosystem, and how modern AI applications are built using managed foundation models — explained in a beginner-friendly way. 2. Large Language Models (LLMs) Learn how LLMs work, what they excel at, and where their limitations lie. Explore real-world use cases including document understanding, chat systems, and code generation using Bedrock-hosted models. 3. Fine-Tuning & Reinforcement Fine-Tuning (RFT) Go beyond basic prompting. Learn how models can be improved using fine-tuning and RFT with human feedback, when and why to use these techniques, and how they fit into modern AI workflows. 4. Prompt Management & Optimization Design, manage, version, and optimize prompts for consistent, reliable results. Learn why prompt management becomes critical as applications scale and evolve. 5. Intelligent Model Routing Discover how to route requests intelligently between different models based on task type, cost, or quality — choosing the right model at the right time. 6. Batch Inference & Data Automation Process large volumes of data efficiently using batch inference, and automate document and data workflows using AWS Bedrock for scalable AI processing. 7. Image Generation with Diffusion Models Explore image generation concepts using diffusion models — including how to generate, control, and deploy image-based AI features at scale. 8. AI Safety, Evaluation & Watermark Detection Evaluate your LLMs for quality, accuracy, and toxicity. Understand AI safety concepts including watermark detection and responsible AI usage. 9. Serverless Deployment & Scaling Deploy Generative AI applications using a fully serverless stack — AWS Lambda, API Gateway, S3, and Bedrock — and scale AI applications without managing any servers. 10. AgentCore: From Prototype to Production Take your agents beyond local development. Learn what Amazon Bedrock AgentCore is, deploy agents on AgentCore Runtime, and monitor every tool call and decision with built-in observability — no servers to manage, production-ready from day one. 11. Agent Memory — Short-Term & Long-Term Give your agents the ability to remember. Implement short-term memory using get_last_k_turns so agents track conversation context within a session. Then add long-term memory with extraction strategies that automatically capture semantic facts, user preferences, and session summaries — so your agents personalize every interaction, even across sessions. 12. Guardrails & Responsible AI Learn how to use Amazon Bedrock Guardrails to add safety controls, filter harmful content, reduce risk, and enforce responsible AI behavior across your applications. 13. Model Comparison Compare different foundation models based on quality, speed, cost, capabilities, and use case fit so you can choose the right model for each task. 14. AWS Model Usage Quotas Understand AWS Bedrock model usage quotas, request limits, throttling, and how quotas affect real-world production applications. 15. Inference Profiles Learn how inference profiles work in Amazon Bedrock and how they help with scalable, reliable, and cross-region model invocation. 16. Marketplace Models on AWS Bedrock Explore Amazon Bedrock Marketplace Models and learn how to access additional foundation models beyond the default Bedrock catalog. 17. Advanced Bedrock Features Go beyond basic prompting and deployment by working with more production-focused AWS Bedrock capabilities used in real AI systems. Submitter S A N Submitted 06/25/2026 Category Paid Coding Courses Sale page https://zerotomastery.io/courses/learn-aws-bedrock/  

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The Complete Guide to Chess: From Beginner to 1600 ELO View File File Name: The Complete Guide to Chess: From Beginner to 1600 ELO Content Source: https://www.udemy.com/course/the-complete-beginners-guide-to-chess/ Genre / Category: Premium courses Password: Original Price: $49 Language: ENGLISH For Paid User Without URL Shortener: Download : GO TO SINGLE CLICK DOWNLOAD PAGE ABOUT THE COURSE: Welcome to The Complete Guide to Chess: From Beginner to 1600 ELO. This comprehensive 40-hour chess masterclass is designed to take you from the rules of chess and basic piece movement through to openings, tactics, calculation, pawn structures, endgames, famous games, and practical improvement methods. Created by FIDE Candidate Master Kingscrusher, this course gives you a structured journey through the full chess “value chain”: opening, middlegame, endgame, calculation, psychology, practical decision-making, and long-term improvement. You will start with the foundations: how the board is set up, how the pieces move, how checks, checkmates, castling, captures, notation, tournament rules, wins, losses, and draws work. From there, the course builds progressively into the major areas every improving chess player needs to understand. The course is organised around a “concentric circles” learning model, helping you revisit key ideas at deeper levels so that your chess understanding grows steadily and practically. What You Will Learn You will learn: Chess rules, piece movement, notation, castling, checks, checkmate, and tournament basics Opening principles such as development, centre control, king safety, and avoiding early mistakes Opening traps including Fool’s Mate, Scholar’s Mate, Fried Liver ideas, Stafford Gambit traps, Vienna traps, Queen’s Gambit traps, Sicilian traps, and more Practical opening systems such as the London System, Colle System, Torre Attack, King’s Indian Attack, Nimzo-Larsen Attack, and English setups Major opening ideas from the French Defence, Sicilian Defence, Caro-Kann, Ruy Lopez, Italian Game, King’s Indian Defence, Nimzo-Indian, Slav Defence, Grünfeld Defence, and others Exciting gambits including the King’s Gambit, Danish Gambit, Evans Gambit, Benko Gambit, Smith-Morra Gambit, Albin Counter-Gambit, Blackmar-Diemer Gambit, and more Middlegame calculation methods including checks, captures, threats, forcing moves, common squares, and the weakness of the last move Core tactics such as forks, pins, skewers, discovered attacks, deflections, decoys, removing the defender, interference, clearance, and x-ray tactics Checkmate patterns including back rank mate, smothered mate, Anastasia’s mate, Arabian mate, Boden’s mate, Morphy’s mate, Opera mate, Légal’s mate, and many others Pawn structures including doubled pawns, isolated queen’s pawns, backward pawns, hanging pawns, passed pawns, pawn breaks, holes, minority attacks, and thorn pawns Essential endgames including queen mate, rook mate, two-rook mate, two-bishop mate, king and pawn vs king, opposition, triangulation, rule of the square, Lucena, Philidor, and Vancura defence Famous instructive games from players such as Morphy, Steinitz, Lasker, Capablanca, Alekhine, Botvinnik, Tal, Petrosian, Fischer, Karpov, and Kasparov Practical improvement tips including self-analysis, playing stronger opponents, choosing openings wisely, and developing a long-term training mindset Chess ideas and games featured in Netflix’s The Queen’s Gambit, explained in detail Why This Course Is Different This is not a short “learn the rules” course. It is a complete beginner-to-intermediate chess curriculum designed to give you a broad and practical understanding of the game. You will not only learn moves and patterns, but also how to think about chess: how to evaluate positions, spot tactical opportunities, avoid common mistakes, understand pawn structures, convert endgames, and connect the opening, middlegame, and endgame into one coherent whole. Who This Course Is For This course is ideal for: Complete beginners who want a structured start in chess Casual players who know the rules but want to improve seriously Players aiming to build a foundation up to intermediate level Learners who want a complete overview of openings, tactics, strategy, and endgames Fans of The Queen’s Gambit who want to understand the chess ideas behind the series Students who want to prepare for more advanced Kingscrusher chess courses Whether you are starting from zero or looking to repair gaps in your chess understanding, this course is designed to help you build a strong foundation and progress confidently toward intermediate-level play. Submitter S A N Submitted 06/25/2026 Category Courses Sale page https://www.udemy.com/course/the-complete-beginners-guide-to-chess/