> For clean Markdown of any page, append .md to the page URL.
> For a complete documentation index, see https://docs.nvidia.com/ai-workbench/llms.txt.
> For AI client integration (Claude Code, Cursor, etc.), connect to the MCP server at https://docs.nvidia.com/ai-workbench/_mcp/server.

> Provides information about the example projects for agentic AI for

# Example Projects for Agentic AI

These example projects demonstrate how to build, evaluate, and deploy AI agents using NVIDIA AI Workbench. The projects showcase:

- Agent architectures that connect large language models to tools and external data.
- Agentic Retrieval Augmented Generation (RAG) for autonomous information retrieval.
- Evaluation techniques for measuring agent quality, including LLM-as-judge approaches.
- Model customization with parameter-efficient fine-tuning and reinforcement learning.
- Safety and security hardening for agents before production deployment.

These examples are ideal for developers and organizations looking to:

- Learn agent development through hands-on, notebook-based modules.
- Build agents with NVIDIA NIM microservices, Nemotron models, and the NeMo platform.
- Evaluate, customize, and secure agentic systems for production use.

| **Example Project on GitHub** | **Description** | **Clone and Open** | **Support Forum** |
|---|---|---|---|
| [Build An Agent Workshop](https://github.com/brevdev/workshop-build-an-agent) | A six-module, hands-on workshop for building, evaluating, customizing, and securing AI agents with NVIDIA NIM and NeMo. | [Open in AI Workbench](https://ngc.nvidia.com/open-ai-workbench/aHR0cHM6Ly9naXRodWIuY29tL2JyZXZkZXYvd29ya3Nob3AtYnVpbGQtYW4tYWdlbnQ=) | [GitHub issues](https://github.com/brevdev/workshop-build-an-agent/issues) |

The Build An Agent Workshop is also available as an [NVIDIA Brev Launchable](https://brev.nvidia.com/launchable/deploy?launchableID=env-32kC34ErT9wsqTcJyaKMxBEuhr2) for one-click deployment on a cloud GPU.

## Related Topics

- [Example Projects for Retrieval Augmented Generation (RAG)](/ai-workbench/quickstart/example-rag)
- [Example Projects for Fine-Tuning Models](/ai-workbench/quickstart/example-fine-tuning)
- [Example Projects for Data Science Workflows](/ai-workbench/quickstart/example-data-science)
- [Example Projects for Blueprint Workflows](/ai-workbench/quickstart/example-blueprints)
- [Example Projects using NIM Deployments](/ai-workbench/quickstart/example-nim)