This repository contains my personal documentation and learning journey through the Hugging Face Agents Course. I'm documenting my progress, notes, and implementations as I work through the course materials.
- Unit 0: Welcome to the Course
- Unit 1: Introduction to Agents
- Unit 2: Frameworks for AI Agents
- Unit 3: Use Cases for Agent RAG
- Unit 4: Final Project
- Bonus Unit 1: Fine-Tuning an LLM for Function-Calling
- Bonus Unit 2: Agent Observability and Evaluation
- Bonus Unit 3: Agents in Games with Pokemon
- What is an Agent?
- Understanding LLMs
- Messages and Special Token
- Tools
- Agent Workflow
- Agent Thought
- Agent Action
- Agent Observation
- Agent Framework
- Building Your First Agent
- AI Agents in Games with Pokemon
- State of the Art in Using LLMs in Game
- LLMs to AI Agents
- Pokemon Battle Agent
- Launching Game Agent
Check out my successful implementation: RobotPai - AI Agent
Complete the course and pass the final project to earn your certificate!
If you scored above 30%, congratulations — you're eligible to claim your official certificate of completion! 🏅
👉 I proudly earned mine with a 🏆 top-tier score above 90% !
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- Hugging Face Agent Course
- The ReAct Paper
- smolagents Documentation
- LlamaIndex Documentation
- LangGraph Documentation
- Hugging Face Spaces Guide
This repository serves as my personal documentation of the Hugging Face Agents Course. Here, I:
- Document my learning journey
- Share my implementations
- Track my progress
- Store my notes and resources
KISHAN PATEL — Ideas to REALITY | OSS Contributor | GSoC'25 Aspirant
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🚀 Passionate about turning ideas into impactful software, automating workflows, and driving innovation in open-source communities.
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💡 Currently building AI Agents and Generative AI Projects with a focus on real-world usability and scalability.
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🧠 Exploring the frontier of Generative AI, Autonomous Agents, and LLM-driven systems, while sharpening my expertise in full-stack web development — from pixel-perfect UIs to resilient backend APIs.
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🤝 Active contributor to Rocket.Chat and Openlit, with a commitment to collaborative problem-solving and continuous learning.
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🧰 Favorite tools & tech: TypeScript, Node.js, MongoDB, Express, LLMs, and LangGraph frameworks.
🌐 Let's connect:
GitHub || LinkedIn || X (Twitter)
- Continue exploring AI Agents and their applications
- Contribute to open-source AI projects
- Build more sophisticated agents
- Share knowledge with the community
Feel free to explore my implementations and learn from my journey! 🌟