> For the complete documentation index, see [llms.txt](https://opencampus.gitbook.io/opencampus-machine-learning-program/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://opencampus.gitbook.io/opencampus-machine-learning-program/additional-resourses/coursera.md).

# Coursera

A huge platform for online courses

Coursera is a huge platform which offers thousands of online course.

{% embed url="<https://www.coursera.org>" %}

In our program (in many courses, not in all of them) we make use of the idea of blended learning, that means we combine online courses with a personal part with a teacher.

Through Opencampus each Student will get a license to participate in a course and each Student can follow the course and make the assignment on the Coursera platform and get the corresponding Certificate at the end of the course.

Assignment will be discussed in class and questions will be answered. However, we are not allowed to provide the full solution to each assignment, just to help you to manage it.


---

# 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 by asking a question.

Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters:

```
GET https://opencampus.gitbook.io/opencampus-machine-learning-program/additional-resourses/coursera.md?ask=<question>&goal=<user_goal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is what the user is ultimately trying to achieve, the reason they need the answer. Sharing it helps GitBook give you a better, more relevant answer. A goal is most helpful when it describes the outcome the user wants rather than restating the question. For example, with `ask=how do I create an API token`, a goal like `automate deployments from our CI pipeline` lets GitBook tailor the answer to that use case.

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.
