> For the complete documentation index, see [llms.txt](https://raia2.gitbook.io/raia/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://raia2.gitbook.io/raia/ai-training/partner-training/raia-labs-training/conclusion.md).

# Conclusion

Congratulations on completing the raiaLabs New Agent Engineer Training Program!&#x20;

You have covered a wide range of topics, from the art of prompt engineering to the science of data management and the power of workflow automation. You are now equipped with the foundational skills to build, train, and deploy effective AI agents on the raiaAI platform.

Remember that this is just the beginning of your learning journey. The field of AI is constantly evolving, and the key to success is a commitment to continuous learning and improvement. We encourage you to continue experimenting with the tools and techniques you have learned, to collaborate with your colleagues, and to never stop asking questions.

Welcome to the team! We are excited to see the amazing things you will build.


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter:

```
GET https://raia2.gitbook.io/raia/ai-training/partner-training/raia-labs-training/conclusion.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
