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📌 IMPORTANT LINKS
Google Developer Europe - Machine Learning Bootcamp 2022 - Participation Details & Calendar
Resource (Open it!)
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Event Schedule
ML Network
Resource
Slack | Google ML Bootcamp Europe 2022
Kaggle Competition Teams and networking
Coursera
Submission Form (access on July 4th)
Dev Library - Machine Learning
Create a Google Developer profile
Google ML Bootcamp Europe 2022 Intro
#GoogleDevCommunity - Twitter
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💡 - The google sheet is the official up-to-date tracker for information regarding the operations of the program.
Google Developer Europe - Machine Learning Bootcamp 2022 - Participation Details & Calendar - Google Sheets
- Please be aware the Notion page might not being kept up to date!(I’ll try to update info as quick as I can 🙂)
- If you are interested in Notion and would like to know how to use it, feel free to DM me on Slack channel. (Shukang Guo)
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Google Developer Europe - Machine Learning Bootcamp 2022 - Participation Details & Calendar

Kaggle Progression Rewards
We are happy to announce Kaggle Progression Rewards! Accomplish a higher tier in Kaggle progression!
If you become an 'Expert' or 'Master' in Kaggle in any of 4 areas (Competitions / Datasets / Notebooks / Discussion) by Friday, October 21st, you will receive GCP credits as rewards!
- You must complete the Coursera Deep Learning Specialization, the Kaggle step (see above) and the TensorFlow certification to be eligible for these rewards.
- $1500 GCP credits will be awarded to the first 5 Masters / $500 GCP credits will be given to the first 5 Experts.
- You may choose either $1500 credits or $500 credits. Receiving both credits are not allowed.
- The coupon code should be redeemed by Dec 27, 2022 and you can use the credits for 1 year.
- Add this clause to your blog or github repo. "Google ML Developer Programs team supported this work by providing Google Cloud Credit" , and reply to us with the resulting article link. It can be a blog posting, github repo, Kaggle notebook, etc., any of which has an URL link.
🧩 Sessions
We have 2 main communication channels. Feel free to contact us when you have questions.
- [email protected]
- https://googlemlbootcampeu.slack.com/
- Slack will send you a confirmation email to your registered or logged-in account. Just follow the procedure.
- When you access the Slack, click the image in the upper right corner to edit your personal information.
- Please change the participant's name to your real name. This is a recommendation for responsible communication in this community.
📜 Course Description
The Google Developer Machine Learning Bootcamp requires the following training components:
- Courses: Complete the Coursera Deep Learning Specialization and/or DeepLearning.AI TensorFlow Developer in the first 2 months.
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You’ll have until Wednesday, August 31st to complete one or both of these courses (
pass the quiz with at least 80% correct)
. And you’ll receive swag if you do!
-
Only participants who complete at least one course within the time limit can move on to the Kaggle Practice and TensorFlow Certification stages of the program.
- Practice: Submit a notebook to the Tabular Playground Series or participate in a competition and place in the top 25% in Kaggle within the 4 months of the bootcamp.
- This can be done individually, or as a team with other bootcamp participants.
- You’ll have until Friday, October 21st to complete one of these options. And you’ll receive swag if you do!
- Only participants who complete the practice within the time limit can move on to the employment-seeking stages of the program.
- Certification: Complete the TensorFlow Developer Professional Certificate certification in 4 months.
- Deadline: Friday, October 21st to complete and pass this certification.
- Only participants who complete the certification within the time limit can move on to employment-seeking stages of the program.
- We will provide the access code to access the certification for free. Please do not launch the certification on your own (with your credit card) as we don't provide reimbursements, but access codes only. You can only receive the access codes if you have completed the Coursera Content.