Awesome AI Agents › Educational & Learning Agents
AI Agents for Beginners is a Microsoft educational course with 10 lessons teaching the fundamentals and practical skills to build AI agents using Azure AI and GitHub models, supported by multi-language resources and community engagement.
This repository offers a comprehensive, hands-on curriculum (503 lessons across 20 phases) for building AI systems from scratch, covering math to autonomous agents, using Python, TypeScript, Rust, ...
A comprehensive collection of free resources to learn AI, machine learning, large language models, and AI agents from scratch.
A comprehensive educational repository providing clear, step-by-step Python implementations and explanations of a wide range of reinforcement learning algorithms for interactive learning and deep understanding.
TheoremExplainAgent is an AI system that generates long-form Manim videos to visually explain mathematical theorems, enhancing understanding through multimodal explanations combining text, visuals, and audio.
Inno Agent is a personal learning agent with three explicit memory layers, a cron scheduler, Feishu and WeChat channels and a workspace-scoped practice terminal, built on the Pi coding-agent SDK.
LangChain-OpenTutorial is an open, community-driven tutorial resource providing comprehensive learning materials and practical examples for LangChain and LangGraph technologies, suitable for users of all skill levels worldwide.
Groundhog is an AI coding assistant designed as a teaching tool to help users understand and leverage the inner workings of coding agents like Cursor through detailed code explanations and a modern Rust-based CLI.
An educational repository with code and notebooks accompanying the "Quick Start Guide to Large Language Models - Second Edition" book, covering practical applications and advanced techniques for large language models.
LearningX is a Python project offering comprehensive examples and tutorials on classical and deep reinforcement learning as well as basic and advanced machine learning techniques.
The AI Tutor RAG System repository offers educational Jupyter notebooks for learning and applying retrieval-augmented generation techniques in AI models, supporting the course "From Beginner to LLM Developer" by Towards AI.