A practical, no-hype field guide to Generative AI, written from a Senior GenAI Architect's real project experience. Built for three readers: developers adding GenAI to real products, freshers building their first AI projects, and business leaders deciding what to build or buy.
What's inside (16 chapters, 67 pages):
Part 1 - How LLMs work: tokens, prompting, context windows & RAG, function calling, structured outputs
Part 2 - The modern AI stack: model providers, tools & frameworks, platforms, AI agents & Agent Skills, vibe coding
Part 3 - Practical constraints: latency budgets, cost controls with worked rupee/dollar examples, reliability basics
Part 4 - Putting it together: an end-to-end invoice-review case study, printable checklists and a glossary
Includes Python code samples, cost calculations, Developer / Fresher / Business boxes in every chapter, and key takeaways after each chapter.
Format: PDF eBook (A5, mobile and tablet friendly). Instant download after purchase.
