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Ravens AI Academy Series
The AI Engineer Blueprint
From Your First Line of Python to Your First Autonomous AI Agent — Foundations, Generative AI, RAG, Agents and Enterprise Architecture
Artificial intelligence has moved faster in the last three years than in the previous thirty. A working engineer today needs more than a definition of a neural network: they need to call a large language model's API, ground it against real company data with retrieval-augmented generation, connect it to real tools through the Model Context Protocol, and orchestrate multiple specialised agents toward a business goal.
This book is built for that engineer — someone who wants to go from AI concepts to AI code, and from a single chatbot to a genuinely autonomous multi-agent system, without skipping the fundamentals that make the advanced material make sense. It closes with bonus chapters on Python, Git, Docker, cloud deployment, certifications, interviews and launching an AI startup.
Inside the book
- Part I — Foundations: machine learning, deep learning and natural language processing
- Part II — Modern generative AI: LLMs, tokens and prompt engineering
- Part III — Building AI applications: APIs, chatbots, RAG and vector databases
- Part IV — AI agents: Model Context Protocol, agent design and multi-agent systems
- Part V — Enterprise AI: automation, security and guardrails, product development, architecture
- Bonus — Python crash course, Git, Docker, cloud deployment, careers, certifications and interviews
- Answer key, AI engineering cheat sheet and a full glossary of AI terms