Student Nomination Form for Faculty in Germany for Explore ML
**What is Explore ML?**
Explore Machine Learning (ML) is a Google-sponsored program for university students to get started with machine learning. The curriculum offers 3 tracks of machine learning content (Beginner, Intermediate, Advanced) and relies on university student facilitators to train other students at their university.

We look forward to inviting selected students to take part in a two-days training event where they will be trained to become student facilitators. The event will be hosted on 20 & 21 November 2019 at the Google Munich office. Google will will sponsor the participants' travel and food expenses for the two days.

After the event, the trained student facilitators are expected to train fellow students at their university. Google will provide the content resources to run these sessions.

**What's the role of faculty?**
Faculty play a key role in this program by nominating students to apply for becoming potential facilitators for their university, that match the facilitator profile (details outlined here: bit.ly/ml-academy-germany-faq).

We expect relevant faculty to nominate up to 3 candidates per university. Google will make the final profile selection to selecting one facilitator per university to receive direct training from Google directly upon course delivery.

Please feel feel free to reach out to us for any queries at explore-ml-program@google.com.
Email address *
Full name *
Name of the university you are affiliated to *
Have you talked to all the students before sharing their details? *
We request you to discuss the program with the students before nominating them
Required
Student Nomination 1
Please provide the exact details of the first student you would like to recommend for the program
Student's name *
Student's undergraduate degree year (2019/2020) *
Student's email address *
Student's phone number *
Student Nomination 2
Please provide the exact details of the second student you would like to nominate for this program
Student's name *
Student's undergraduate degree year (2019/2020) *
Student's email address *
Student's phone number *
Student Nomination 3
Please provide the exact details of the third student you would like to nominate for this program
Student's name *
Student's undergraduate degree year (2019/2020) *
Student's email address *
Student's phone number *
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