ai-agents-for-beginners and ai-agents-the-definitive-guide

The beginner's lesson series is a complement to the definitive guide, with the former providing structured educational content for initial understanding and the latter serving as a comprehensive reference for deeper exploration of AI agents.

Maintenance 23/25
Adoption 10/25
Maturity 16/25
Community 25/25
Maintenance 10/25
Adoption 10/25
Maturity 7/25
Community 19/25
Stars: 53,826
Forks: 18,688
Downloads:
Commits (30d): 30
Language: Jupyter Notebook
License: MIT
Stars: 127
Forks: 23
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License:
No Package No Dependents
No License No Package No Dependents

About ai-agents-for-beginners

microsoft/ai-agents-for-beginners

12 Lessons to Get Started Building AI Agents

Structured curriculum covering agent fundamentals, reasoning patterns, and tool integration using Microsoft Agent Framework paired with Azure AI Foundry Agent Service V2. Each of the 12 lessons includes written content, Python code samples, and video walkthroughs demonstrating practical implementations. Available in 50+ languages with automated translation updates via GitHub Actions.

About ai-agents-the-definitive-guide

Nicolepcx/ai-agents-the-definitive-guide

Repo for AI Agents The Definitive Guide

Provides executable Jupyter notebooks covering agent architectures (planning, reactivity, multi-agent systems), reasoning mechanisms, tool integration, safety guardrails, and production deployment patterns. Code is organized by chapter with runnable examples in Google Colab, supporting GPU execution for model benchmarking and optimization techniques. Includes utilities for implementing agent systems across domains from foundational LLM concepts through autonomous long-horizon task execution.

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