Having an incredible time at the Agents MCP Hackathon
The learning curve has been steep but absolutely rewarding - diving deep into Model Context Protocol (MCP), building intelligent agents, and exploring the latest in LLM capabilities. There's something magical about seeing these technologies come together in real-time applications.
Huge shoutout to the hackathon organizers and sponsors for providing generous API credits from top inference providers. It's removed all the barriers to experimentation and let us focus purely on innovation and creativity. This level of support really makes the difference between having an idea and actually bringing it to life.
The community energy here is infectious - collaborating with brilliant minds, sharing breakthroughs, and learning from each other's approaches. Whether you're debugging MCP connections at 2 AM or celebrating a successful agent deployment, there's always someone ready to help or celebrate with you.
Interested in joining or learning more? Check out the hackathon details here: Agents-MCP-Hackathon What a time to be building in AI! 🔥
I am so happy to share to all that I’ve just completed the first unit of the new MCP course on Hugging Face and earned my certificate! The AI acceleration track is intense and fast-paced, but I’m doing my best to keep up. Excited for what’s ahead!
I’m excited to share that I’ve completed the Hugging Face Agents Course and earned my certificate.
Over the past few months, I explored how to build intelligent, autonomous agents using cutting-edge tools like smolagents, LlamaIndex, and LangGraph. The course covered everything from the fundamentals of agents to advanced topics like fine-tuning for function-calling, observability, evaluation, and even agents in games.
Some key content included:
1. Introduction to AI Agents
2. Agentic RAG use cases
3. Multi-framework implementation: smolagents, LlamaIndex, and LangGraph
4. Building, testing, and certifying a complete agent project
This was a hands-on, practical experience that deepened my understanding of how to design reliable, tool-using LLM agents. Looking forward to leveraging these skills in real-world applications in healthcare, logistics, and beyond.
Many thanks to the Hugging Face team for putting this together. Let’s build safe and useful agents!
I am excited to share that I’ve successfully completed Unit 1: Foundations of Agents in the Hugging Face Agents Course. Exploring the fundamentals of AI agents has been an insightful journey, and I’m looking forward to applying these concepts in real-world applications. Big thanks to the Hugging Face team for this amazing learning opportunity! 🤗 Check out the course here: https://huggingface.co/learn/agents-course/