Books

A practical, code-first guide to building production-ready AI agents and multi-agent systems in C# with Microsoft Agent Framework, Microsoft.Extensions.AI, tools, context, orchestration, observability, workflows, and enterprise-ready patterns.

Build production-grade RAG systems in C# — from an 80-line Hello World to a fully deployed Azure pipeline with the Microsoft Agent Framework, MCP, GraphRAG, multi-agent orchestration, eval gates, and EU AI Act-ready audit trails. 668 pages, 25 chapters, one evolving enterprise project, every line of code runnable in .NET 10.

https://github.com/MandeepSinghthakur/production-ai-systems

Master automated workflows for your Python code with GitHub Actions for Python Projects. This practical guide covers automated testing, dependency management, coverage reports, documentation builds, and artifact generation to help you build reliable CI/CD pipelines effortlessly.

This book is a workshop where things go wrong on the page, in front of you, and then get fixed in code, with the output that proves the fix worked. There's no need to be a security expert to follow along. We'll be moving from the interpreter to the supply chain, from the token to the human clicking Allow, and from a single tool to a whole host of untrusting servers.

The ultimate practical guide designed to fast-track your technical skills without the fluff. Whether you are a developer, student, or DevOps engineer, this essential reference delivers actionable insights to solve real-world problems instantly. Master your craft and stream-line your workflow today!

Make your Python AI code up to 100× faster using NumPy vectorization, Numba, parallel execution, and GPU acceleration. Learn through practical benchmarks and real-world optimization examples.

Learn how to build autonomous, production-ready multi-agent AI systems in C# with .NET. Using Harness, Hermes Agents, and Loop Engineering, you'll create intelligent agents that reason, collaborate, and solve real-world problems through practical examples and hands-on projects.

Your C# skills are worth more today than they were a year ago — if you know how to put a language model in the loop. This book shows you how, with the Microsoft Agent Framework: real tools, RAG, multi-agent orchestration, plus the hosting, observability, and safety that separate a demo from a system you ship. Nineteen chapters. 120 runnable projects. No Python detours. Just C# and .NET 10.

I strongly recommend this book to developers, platform engineers, and technical architects who work with Microsoft 365. These professionals will learn to integrate AI-assisted workflows into existing business processes without unnecessary complexity.