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add form and certification revisions

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burtenshaw
2025-01-27 13:53:08 +01:00
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units/unit0/01_welcome_to_the_course.mdx
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@@ -48,9 +48,9 @@ The course is composed of:
This course is a living project, evolving with your feedback and contributions from the community.
<!-- TODO: Create a feedback form -->
You can give your feedback about the course 👉 in this form
You can give your feedback about the course [👉 in this form](https://docs.google.com/forms/d/e/1FAIpQLSe9VaONn0eglax0uTwi29rIn4tM7H2sYmmybmG5jJNlE5v0xA/viewform?usp=dialog)
<!-- TODO: Create a space for the leaderboard -->
<!-- TODO: AFTER THE COURSE IS COMPLETED, Create a space for the leaderboard -->
## What's the syllabus? [[syllabus]]
@@ -67,30 +67,18 @@ Here is the general syllabus for the course. With each unit a more detailed list
*Over the coming weeks further bonus units will be released.*
<!-- TODO: Ben and Joffrey check this part and we need to validate what are the final assignments to update this section -->
## Two paths: choose your own adventure [[two-paths]]
## The Certification Process [[certification-process]]
<img src="https://huggingface.co/datasets/agents-course/course-images/resolve/main/en/unit0/two-paths.jpg" alt="Two paths" width="100%"/>
You can choose to follow this course either:
- *To get a certificate of completion*: you need to complete 1 of the use case assignments and 1 of the challenges.
- *To get a certificate of honors*: you need to complete 100% of the assignments and 1 of the challenges.
- *As a simple audit*: you can participate in all challenges and do assignments if you want.
<!-- TODO: Validate grading for assignments -->
You don't need to tell us which path you choose. **If you get more than 80% of the assignments done, you'll get a certificate.**
<!-- TODO: Ben and Joffrey check this part and we need to validate what are the final assignments to update this section -->
## The Certification Process [[certification-process]]
You can choose to follow this course either *get a certificate of completion* or *as a simple audit*. For the latter, you can participate in all challenges and do assignments if you want, and *you don't need to notify us*.
The certification process is **completely free**:
<!-- TODO: Validate grading for assignments -->
- *To get a certificate of completion*: you need to complete 80% of the assignments.
- *To get a certificate of honors*: you need to complete 100% of the assignments.
There's a deadline for this certification process, all the assignments must be finished before
<!-- TODO: Add deadline + illustration -->
- *To get a certification for fundamentals*: you need to complete unit 1 of the course.
- *To get a certificate of completion*: you need to complete unit 1, 1 of the use case assignment, and the final challenge.
There's a deadline for this certification process, all the assignments must be finished before April 1st 2025.
<img src="https://huggingface.co/datasets/agents-course/course-images/resolve/main/en/unit0/certification.jpg" alt="Course certification" width="100%"/>
@@ -101,6 +89,7 @@ There's a deadline for this certification process, all the assignments must be f
Each chapter in this course is designed **to be completed in 1 week, with approximately 3-4 hours of work per week**.
Since there's a deadline we provide you a recommended pace
<!-- TODO: Add the certification deadline -->
## How to get most of the course? [[advice]]
@@ -124,7 +113,22 @@ You need only 2 things:
## Who are we [[who-are-we]]
<!-- TODO: Add team BIOs -->
### Joffrey Thomas
Joffrey is a machine learning engineer at Hugging Face and has built and deployed AI Agents in production. Joffrey will be your main instructor for this course.
### Aymeric Roucher
Aymeric is the author of `smolagents`, an open-source library for building AI Agents. Aymeric will contribute to the course by providing examples and best practices.
### Ben Burtenshaw
Ben is a machine learning engineer at Hugging Face and has delivered multiple course across various platforms. Ben's goal is to make the course accessible to everyone.
### Thomas Simonini
Thomas is a machine learning engineer at Hugging Face and delivered the successful Deep RL and AI for games courses. Thomas is a big fan of Agents and is excited to see what the community will build.
## I found a bug, or I want to improve the course [[contribute]]
<!-- TODO: Add contribution pages -->