Master AI Engineering. Land the Job. Ship Real Systems.

The complete, hands-on guide to becoming a production-ready AI engineer — from your first LangChain call to deploying enterprise-grade AI agents. Built for engineers who learn by doing, not by reading theory.

Whether you're preparing for AI interviews at top tech companies or building the next generation of intelligent products, this book gives you the full stack — 43 chapters, 43 diagrams, three end-to-end projects, and working code on every page.

WHAT MAKES THIS BOOK DIFFERENT

✓ Every chapter ships with code you can run today
✓ 43 custom diagrams that turn complex AI concepts into clear visuals
✓ Production-focused — learn how AI is actually built and shipped, not just explained
✓ Three complete end-to-end projects you can put on your resume
✓ Written by a working AI Researcher who builds these systems every day

WHAT YOU WILL MASTER

Foundations (Ch 1–10): Streaming APIs • LangChain • Memory management • Vector databases (ChromaDB) • RAG • ReAct agents • Model Context Protocol (MCP) • PyTorch • Prompt engineering • Hugging Face

Advanced Frameworks (Ch 11–20): CrewAI multi-agent teams • AutoGen • Microsoft Copilot Studio • LangGraph • LlamaIndex • Google Vertex AI & ADK • LoRA fine-tuning • Hybrid search & reranking • RAGAS evaluation • MLflow & LangSmith

Enterprise & Cloud (Ch 21–30): Azure OpenAI • AWS Bedrock • IBM WatsonX • Multimodal AI • Transformers • NLP • Agents with memory & human-in-the-loop • Data engineering • Responsible AI • GraphRAG • Mixture of Experts • Computer vision • Function calling

Production Systems (Ch 31–40): LLM-as-Judge evaluation • Token cost optimization • Prompt injection defense • OpenAI Assistants API • Quantization • Docker • FastAPI deployment • Pinecone • RLHF (how ChatGPT was trained) • A/B testing for AI safety

Three Complete Projects (Ch 41–43):
- Smart RAG Chatbot for HR Policies (Gemini 2.5 + ChromaDB)
- AI Agent with 6 Production Tools (Calculator, Weather, Doc Search, Email, Workato, Date/Time)
- MCP Automation Server with 11 enterprise workflow tools

WHO THIS BOOK IS FOR

- Software engineers transitioning into AI/ML roles
- AI engineers leveling up to production patterns
- CS students preparing for AI interviews
- Developers building LLM-powered applications
- Tech leaders evaluating modern AI frameworks
- Anyone moving from AI user to AI builder

WHAT YOU GET

- Full setup guide (Python 3.11, VS Code, API keys)
- Interview Q&A section for technical AI interviews
- Quick-reference command cheat sheet
- Skill checklist to track your progress
- Comprehensive index by topic

By the end, you'll have built three production-ready AI systems, mastered modern AI architectures, learned to optimize costs and security, and gained the confidence to tackle any AI engineering challenge.

225 pages. 43 chapters. 43 diagrams. Three complete projects. Endless possibilities.

Production Ready. Interview Ready. You Ready.