This repository provides code and resources for O'Reilly's "AI Agents A-Z" course and "Modern Automated AI Agents" video series. It offers a comprehensive guide to understanding, implementing, and managing AI agents, targeting engineers and researchers. The benefit lies in practical, hands-on learning covering foundational to advanced topics, including production considerations like cost and open-source options.

How It Works

The project employs a progressive learning approach, starting with core AI agent concepts and advancing to practical implementation using popular frameworks. It emphasizes hands-on exercises and covers key architectural choices, prompt engineering techniques, and agent evaluation methodologies. The advantage is a structured curriculum designed for rapid skill acquisition in building and deploying agentic AI systems.

Quick Start & Requirements

• Environment: Python 3.11 virtual environment (.venv).
• Installation: Activate the virtual environment and run pip install -r requirements.txt.
• Notebooks: Execute Jupyter notebooks via python -m jupyter notebook within the activated environment.
• Prerequisites: Python 3.11, venv, pip, requirements.txt.

Highlighted Details

• Explores diverse agent frameworks: CrewAI, LangChain, AutoGen, SmolAgents, OpenAI Agents SDK, and LangGraph.
• Features advanced notebooks on Plan & Execute, Reflection, and Multimodal agents (integrating DALL-E 3).
• Includes in-depth evaluation notebooks for agent output, alignment, and tool selection, analyzing positional biases.
• Demonstrates building custom agent frameworks and integrating local LLMs (e.g., Ollama) and models like DeepSeek.

Maintenance & Community

• Led by Sinan Ozdemir, former Johns Hopkins lecturer and founder of Kylie.ai.
• No community channels (Discord/Slack) or roadmap links are provided in the README.

Licensing & Compatibility

• The README does not specify a software license. This omission requires clarification for adoption decisions, especially regarding commercial use or derivative works.

Limitations & Caveats

• Setup requires strict adherence to Python 3.11 and virtual environment creation.
• One notebook, "Computer Use with Reasoning LLMs," carries a significant warning about granting AI control over the local machine.
• Crucially, the repository's licensing terms are not disclosed in the README.