Build Powerful AI Agents Using smolagents from Hugging Face

About this course

AI agents are transforming the way we work. Sam Altman predicts that AI coworkers will enter the workforce in 2025, and companies like OpenAI, xAI, and DeepMind are already launching cutting-edge AI agents like Operator and DeepSearch.

But how do you build your own AI agent? Which framework should you use?

If you like graph-based control, LangGraph is an option.

If you prefer role-based AI teams, CrewAI works well.

If you're into prompt optimization, DSPy can be adapted.

However, if you want a lightweight, flexible, and straightforward way to build AI agents, Smolagents from Hugging Face is the answer.

Why Choose Smolagents?

No unnecessary abstractions—simple yet powerful.

Access any LLM in the world—OpenAI, Together AI, OpenRouter, Mistral, or even your own models.

Create custom tool-calling agents that can interact with real-world data, APIs, and more.

What You’ll Learn in This Course:

• The fundamentals of AI agents—how they work and why they matter.
• Building a tool-calling agent—connecting your agent to external tools and APIs.
• Integrating AI models like GPT-4, Gemini, and Claude—leveraging multiple AI brains.
• Creating custom AI tools—fetch financial data, analyze documents, or search the web.
• Multi-agent systems—designing AI agents that collaborate.
• Building a text-to-SQL agent for querying databases.
• Creating a financial analyst AI to automate investment research.

Whether you're a developer, researcher, or AI enthusiast, this course will equip you with the skills to build, deploy, and scale AI agents for real-world use cases. Start learning today.

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