patchy631/ai-engineering-hub
AI Engineering Hub offers in-depth tutorials and practical resources on Large Language Models, Retrieval-Augmented Generation, and real-world AI agent applications for all skill levels.
Awesome MCP › MCP Resources & Educational Materials
sinanuozdemir/oreilly-ai-agents
The project "oreilly-ai-agents" by Sinan Ozdemir is a comprehensive educational repository designed to introduce and guide users through the world of AI agents. It supports a live course and a video series offered by O'Reilly, focusing on understanding, implementing, and managing AI agents from foundational concepts to advanced applications. The repository includes practical, hands-on exercises and code examples that cover a wide range of AI agent frameworks such as CrewAI, LangChain, AutoGen, and others, as well as building agents from scratch using prompt engineering techniques. It emphasizes real-world application by teaching deployment, performance evaluation, and iterative design of AI agents. The project also addresses important considerations like cost projections, open versus closed source options, and best practices for AI projects. The repository provides detailed setup instructions for creating a Python 3.11 virtual environment and installing necessary packages. It contains numerous Jupyter notebooks that serve as tutorials and demonstrations for various AI agent frameworks and concepts. These include introductory notebooks for SmolAgents, CrewAI, Autogen, OpenAI Swarm, OpenAI Agents SDK, and LangGraph, among others. The notebooks explore different paradigms such as ReAct agents, Plan & Execute agents, and Reflection agents, integrating advanced techniques like Model Context Protocol (MCP) and tool positional bias testing. Additionally, the project offers notebooks for evaluating agent outputs using rubrics, analyzing alignment, and assessing tool selection accuracy and biases. It also includes resources for building custom agents, including a simple agent framework called Squad Goals, which supports multimodal capabilities like image generation with Dalle-3. The repository is maintained by Sinan Ozdemir, an experienced AI practitioner and educator, ensuring the content is both authoritative and practical. Overall, this project is a rich resource for anyone interested in learning about AI agents, from beginners to advanced practitioners, with a strong focus on the Model Context Protocol and modern agent architectures.
https://github.com/sinanuozdemir/oreilly-ai-agents
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