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GenAI & AI Agents for Java Spring Boot Devs | Copilot,Claude View File File Name: GenAI & AI Agents for Java Spring Boot Devs | Copilot,Claude Content Source: https://www.udemy.com/course/generative-ai-agentic-ai-agents-claude-code-copilot/ 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: Most AI courses teach you to use AI tools. This one teaches you to build AI agents that do engineering work autonomously — running in your CI pipelines, reacting to events, and fixing problems without waiting for you. This is a hands-on course for freshers-mid-to-senior software engineers ready to move from AI user to AI agent builder. You won't be building toy demos. Every agent in this course solves a real problem: automated PR reviews, slow query detection, with human approval gates, and more. Each build introduces a distinct architectural pattern you can adapt to your own stack. What you'll learn How LLMs actually work: context windows, hallucinations, token limits, and why it matters when you're building agents, not just chatting Prompt engineering that holds up in production agent contexts Claude Code: terminal-native agentic coding with filesystem ownership and MCP integration GitHub Copilot: IDE-native and GitHub Actions agentic workflows OpenAI Codex: async task delegation with PR-based output Google Antigravity / Google Gemini: multimodal terminal input for Google ecosystem teams MCP servers: extending your agents with custom tools and external integrations n8n: event-driven orchestration that connects your agents to the rest of your workflow JetBrains AI: Run all AI tools inside IntelliJ IDEA Who this is for Software engineers or Freshers who want to build and deploy real AI agents Java and Spring Boot developers integrating AI into existing backend systems DevOps and cloud engineers looking to automate repetitive operational work Any developer tired of demos and ready to run agents in actual CI/CD pipelines Requirements Comfortable with at least one backend language (Java or Spring Boot experience is a plus) No prior AI or machine learning experience needed Submitter S A N Submitted 06/27/2026 Category Courses Sale page https://www.udemy.com/course/generative-ai-agentic-ai-agents-claude-code-copilot/

Two Days Gen AI Mastermind International By Outskills View File File Name: Two Days Gen AI Mastermind International By Outskills Content Source: N/A Genre / Category: Premium courses Password: Original Price: ₹10,000 Language: ENGLISH For Paid User Without URL Shortener: Download : GO TO SINGLE CLICK DOWNLOAD PAGE Complete 22 Hours+ AI Training Program Master Al to become 10x more efficient, improve productivity and future proof career! Submitter S A N Submitted 06/27/2026 Category Courses Sale page

React JS Masterclass: Zero To Job Ready With 10 Projects View File File Name: React JS Masterclass: Zero To Job Ready With 10 Projects Content Source: https://www.udemy.com/course/complete-reactjs-masterclass/ 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 React JS Masterclass, one single course to start your React journey as a beginner step-by-step. This course touches on each and every important topic through concept explanation, documentation, and implementation. The entire course is designed for beginners with one goal in mind, to learn concepts and build React projects. Throughout the course, we will explore the most important React topics step-by-step: JSX and components State and props Event handling Built-in hooks (e.g. useState, useEffect, useCallback, useRef) Working with forms, validations, and handling form data. Client-side routing with React Router Work with multiple API and handle data for projects Integrating with other libraries and frameworks (e.g. Redux) Testing and debugging React applications using popular libraries like Jest, RTL and React DevTools. DOM manipulation and manipulating the Virtual DOM Server-side rendering Optimizing the performance of React application Best practices for structuring and organizing React projects Building and deploying production-ready React applications, including code splitting and optimization techniques. Other Concepts: Building and using advanced Custom Hooks Styling with Tailwind CSS Integrating Context & Reducers Building mock backend with JSON Server & JSON Server Auth Integrating Firebase storage as well as authentication Project deployment on Netlify using Git & Github Integrating external libraries: Toastify & React Skeleton Why this course? Complete course is focused on the concept learning approach, you learn every concept through a logical and visual learning approach. Learn all important concepts in the simplest possible way with examples and real-life projects. You need HTML, CSS and JavaScript knowledge, we will cover everything about React step-by-step from scratch. The course is designed for developers who have some experience with JavaScript and web development and want to learn how to build dynamic, responsive user interfaces using React. ------------------ After completing this course you will be ready to work as an Intern, Fresher, or Freelancer and you will also be able to implement everything yourself! Most importantly you will have the potential to build, test and deploy your own projects. Submitter S A N Submitted 06/26/2026 Category Courses Sale page https://www.udemy.com/course/complete-reactjs-masterclass/

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