https://github.com/zabir-nabil/gcp-ml-certification

A study guide for preparing for the GCP Professional Machine Learning Certification in one week or less.
https://github.com/zabir-nabil/gcp-ml-certification

gcp gcp-certification gcp-machine-learning-certification gcp-ml gcp-ml-certification google-cloud google-cloud-certification google-cloud-platform machine-learning machine-learning-certification

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A study guide for preparing for the GCP Professional Machine Learning Certification in one week or less.

• Host: GitHub
• URL: https://github.com/zabir-nabil/gcp-ml-certification
• Owner: zabir-nabil
• License: unlicense
• Created: 2024-01-05T10:37:50.000Z (about 1 year ago)
• Default Branch: main
• Last Pushed: 2024-01-11T00:10:22.000Z (about 1 year ago)
• Last Synced: 2024-01-24T12:08:34.528Z (about 1 year ago)
• Topics: gcp, gcp-certification, gcp-machine-learning-certification, gcp-ml, gcp-ml-certification, google-cloud, google-cloud-certification, google-cloud-platform, machine-learning, machine-learning-certification
• Homepage: https://medium.com/@furcifer/cracking-the-gcp-certified-professional-machine-learning-engineer-exam-in-a-week-966890073adf
• Size: 59.6 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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# gcp-ml-certification

A study guide for preparing for the GCP Professional Machine Learning Certification in one week or less.

# Medium Blog

[Cracking the GCP Certified Professional Machine Learning Engineer Exam in a Week](https://medium.com/@furcifer/cracking-the-gcp-certified-professional-machine-learning-engineer-exam-in-a-week-966890073adf)

# 7-Day Plan

* **Day 1-2**: Start by skimming through **"Journey to Become a Google Cloud Machine Learning Engineer: Build the mind and hand of a Google Certified ML professional"** on the first day. Highlight sections you're less familiar with. On the second day, focus on reading these marked sections. This book provides a broad overview of GCP, ML, and how ML works in GCP. It's a great starting point, but it won't be enough for exam preparation on its own.

  

* **Day 3**: Review the official [Certification Exam Guide](https://cloud.google.com/learn/certification/guides/machine-learning-engineer). Dive into the GCP documentation for each topic listed there. Understanding every service or technology in depth isn't necessary; you should focus more on their overviews, use cases, and how they integrate with other services.

* **Day 4-5**: Work through as many labs as you can from the [Machine Learning Engineer Learning Path](https://www.cloudskillsboost.google/paths/17). Watch related videos at double speed, but feel free to skip the longer ones. Make sure to complete all the quizzes.

* **Day 6**: Tackle [sample questions](https://docs.google.com/forms/d/e/1FAIpQLSeYmkCANE81qSBqLW0g2X7RoskBX9yGYQu-m1TtsjMvHabGqg/viewform). You can find additional GCP ML practice questions on YouTube, [gcp-examquestions.com](https://www.gcp-examquestions.com/), and [examtopics.com](https://www.examtopics.com/). I also tried using [skillcertpro.com](https://skillcertpro.com/product/google-machine-learning-engineer-exam-questions/), but found that many of their questions were repetitive and some answers incorrect, so I wouldn't recommend it.

* **Day 7**: Spend this day reviewing everything you've learned. This is a good time to revisit any topics that are still unclear and solidify your understanding.