Awesome AI Agents › Courses and Tutorials
The GenAI_Agents repository by NirDiamant is a comprehensive and dynamic resource dedicated to the development and implementation of Generative AI (GenAI) agents. It offers a wide range of tutorials and practical examples that cover the entire spectrum of AI agent complexity, from simple conversational bots to advanced multi-agent systems. The repository is designed to serve both beginners and experienced practitioners by providing step-by-step guides, detailed explanations of core concepts, and ready-to-use implementations. It emphasizes learning through doing, with a focus on building intelligent, interactive AI systems that can perform various tasks such as conversation management, question answering, data analysis, academic task planning, literature review automation, adaptive learning, and customer support. The project also integrates educational content, including blog posts and newsletters, to keep users updated with the latest advancements and expert insights in the field of GenAI agents. It encourages community involvement through a Discord server and GitHub contributions, fostering collaboration and knowledge sharing among AI enthusiasts and developers. Additionally, the repository links to related projects on Retrieval-Augmented Generation (RAG) techniques and prompt engineering, expanding the learning ecosystem for users interested in enhancing AI capabilities. Key features of the repository include a variety of agent architectures, modular AI workflows, integration with frameworks like LangChain and LangGraph, and practical applications across academic, business, and educational domains. The repository is regularly updated to reflect cutting-edge developments and offers exclusive content and discounts through its newsletter subscription. Overall, GenAI_Agents is a valuable hub for anyone looking to explore, learn, and innovate in the rapidly evolving field of generative AI agents.
https://github.com/NirDiamant/GenAI_Agents
A comprehensive guide and resource hub for prompt engineering, context engineering, retrieval-augmented generation, and AI agents, offering tutorials, papers, tools, and courses to optimize the use of large language models.
Learn Claude Code is an educational project that teaches how to build modern AI coding agents like Claude Code through a progressive tutorial covering core concepts, planning, subagents, and skills mechanisms.
AI Engineering Hub is a comprehensive repository offering in-depth tutorials and practical resources on Large Language Models, Retrieval-Augmented Generation, and real-world AI agent applications for learners and practitioners.
The Hugging Face Agents Course is a comprehensive educational resource that teaches the fundamentals and advanced concepts of AI agents and large language models through structured units, practical frameworks, and community collaboration.
This course provides a comprehensive project-based tutorial on Harness Engineering for building reliable AI coding agents, covering environment setup, state management, verification, and control.
An AI-powered tool that analyzes GitHub repositories and generates beginner-friendly tutorials with visualizations to simplify understanding complex codebases.
A comprehensive guide to prepare for machine learning and AI technical interviews at major tech companies, covering coding, ML fundamentals, system design, and behavioral aspects.
A trilingual (Traditional Chinese, English, Simplified Chinese) learning roadmap for agentic AI, offering 240+ curated resources and hands-on examples from LLM basics to multi-agent systems.