Generative AI & LLMs : A Hands-On Guide to Building AI Agents | A Practical Guide to Building, Fine-Tuning, and Deploying AI Agents with Large Language Models | Learn Prompt Engineering, RAG, and Autonomous Systems
About this ebook
Master Generative AI & Large Language Models (LLMs) with this definitive, project-driven handbook. Whether you’re a software developer, data scientist, product manager, or tech entrepreneur, this book transforms you from an AI user into an AI architect—capable of designing, building, and launching sophisticated autonomous systems.
What You Will Build & Learn:
✅ Prompt Engineering Mastery: Move beyond basic chats. Learn advanced prompting techniques—including few-shot learning, chain-of-thought (CoT) reasoning, and persona patterning—to reliably control LLM outputs.
✅ Build AI Agents with Memory: Implement RAG (Retrieval-Augmented Generation) systems to give your agents long-term knowledge, overcome hallucinations, and ground responses in your private data using vector databases.
✅ Create Autonomous AI Agents: Design and code agents that execute the Think-Act-Loop. Build systems that can reason, plan, and take action using tools and APIs to complete complex tasks without constant human input.
✅ Develop Multi-Agent Systems: Orchestrate teams of specialized AI agents that collaborate, debate, and delegate to solve problems no single agent could handle.
✅ Fine-Tune LLMs: Go beyond prompting. Learn how to fine-tune models like GPT and open-source LLMs on your custom data to create domain-specific experts with a unique voice and superior performance.
✅ Real-World Deployment: Navigate the complete pipeline from prototype to production. Learn deployment strategies, monitoring, logging, safety guardrails, and cost optimization for scalable AI agent applications.
Inside This Practical Guide:
Step-by-Step Tutorials with clear explanations and conceptual diagrams.
Hands-On Projects including a Research Agent, an Autonomous Scheduling Assistant, and a Multi-Agent Marketing Team.
Production-Ready Code Patterns using Python, OpenAI API, LangChain, and vector databases.
Ethical Framework & Best Practices for building responsible, transparent, and safe AI.
Perfect For:
Developers ready to build AI-powered features and products.
Engineers and ML practitioners expanding into applied LLMs and agentic AI.
Tech leaders and founders who need to understand the capabilities and roadmap of autonomous AI.
Anyone tired of theoretical hype and eager for practical, buildable skills in generative AI.
Stop just using AI. Start building it.
Your journey to becoming an AI Agent architect begins here.
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