How to build an AI agent in 10 lines of code | Agentic AI demo

Watch this live demo to see how AI agents, LLMs, and open source tools come together in just 10 lines of Python code.

Agentic AI is emerging as one of the most exciting areas in artificial intelligence, and it’s more accessible than you might think. In this recorded session, Agentic AI for developers and data scientists: Build an AI agent in 10 lines of code, NVIDIA Developer Advocate William Hill walks through a practical, code-first approach to building AI agents with minimal setup.

What is agentic AI?

Agentic AI refers to AI systems designed to perform tasks autonomously, often guided by large language models (LLMs) that can interpret instructions, make decisions, and execute multi-step processes. This hands-on demo shows how developers can combine open source tools and simple code to prototype agent behavior quickly.

Read more: Why AI agents are the future of web navigation

Using open source AI libraries, Google Colab notebooks, and NVIDIA GPU acceleration, William demonstrates how to create a fully functional AI agent in just 10 lines of Python code. The agent performs LLM-powered visual analysis, giving developers a hands-on example of how large language models (LLMs) can be used to drive autonomous AI workflows.

In this presentation, you’ll learn:

• How to build an AI agent with only 10 lines of Python code
• Which open source libraries are powering modern AI agent frameworks
• How to run LLM-driven AI agents using NVIDIA GPUs and Google Colab
• The key concepts behind agentic AI, autonomous agents, and real-world AI workflows
• Current trends in AI development for both developers and enterprise teams

Whether you’re a developer, data scientist, machine learning engineer, or simply curious about building your own AI agents, this session offers a clear, practical example of how to get started with agentic AI.

Watch the full presentation on-demand and start building your own AI agents today.

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