Hugging Face - AI Agents Course

Completed course on AI Agents by Hugging Face, covering the fundamentals of agentic workflows such as - reasoning, planning, tool integration, LLM-based decision-making, and the Think → Act → Observe loop.

Course Provider: Hugging Face Status: 100% Completed

📜 Certification

📘 Covered Modules

  1. Introduction to Agents
    Fundamentals of AI Agents: reasoning and planning, the role of LLMs as the agent “brain,” and message-based structuring of conversations. Built the first agent, Alfred, using smolagents, applying the Think → Act → Observe workflow.

  2. Tool and Action Integration
    Explored how Agents interact with the external environment using tools. Learned to build and integrate actions into the agent loop and structured external interactions with LLMs.

  3. Hands-on Labs on Hugging Face Spaces
    Built and tested agents directly in Hugging Face Spaces using pre-configured environments.

  4. Use Case Application
    Applied agentic workflows to real-world scenarios like document understanding, search, and automation—demonstrating RAG and human-in-the-loop design.

  5. Final Quiz & Certification
    Earned the 🎓 Certificate of Fundamentals of Agents after completing the quiz and passing all course units.

Certificate issued to Sailesh Dwivedy in April 2025.