A study guide for preparing for the GCP Professional Machine Learning Certification in one week or less.
Cracking the GCP Certified Professional Machine Learning Engineer Exam in a Week
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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.
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Day 3: Review the official Certification Exam Guide. 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.
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Day 4-5: Work through as many labs as you can from the Machine Learning Engineer Learning Path. Watch related videos at double speed, but feel free to skip the longer ones. Make sure to complete all the quizzes.
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Day 6: Tackle sample questions. You can find additional GCP ML practice questions on YouTube, gcp-examquestions.com, and examtopics.com. I also tried using skillcertpro.com, but found that many of their questions were repetitive and some answers incorrect, so I wouldn't recommend it.
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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.