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On this accelerated Google Cloud Professional Machine Learning Engineer course, you’ll learn how to design, build, and implement the production of ML models to solve your business' challenges using Google Cloud technologies and knowledge of proven ML models and techniques.
In just 2 days, you’ll build knowledge on all aspects of model architecture, data pipeline, interaction, and metric interpretations. You’ll also learn about:
At the end of the course, you’ll sit the Google Cloud Professional Machine Learning Engineer exam, and achieve your certification. Through Firebrand’s Lecture | Lab | Review methodology, you’ll get access to courseware and certified instructors, and train in a distraction-free environment.
As part of this accelerated course, you’ll sit the following exam at the Firebrand Training centre, covered by your Certification Guarantee:
Your accelerated course includes:
There are no formal prerequisites for attending this accelerated course, however Google Cloud recommend you have a minimum of 3 years' experience with Google Cloud products and solutions.
Unsure whether you meet the prerequisites? Don’t worry. Your training consultant will discuss your background with you to understand if this course is right for you.
Here's the Firebrand Training review section. Since 2001 we've trained exactly 134561 students and asked them all to review our Accelerated Learning. Currently, 95.43% have said Firebrand exceeded their expectations.
Read reviews from recent accelerated courses below or visit Firebrand Stories for written and video interviews from our alumni.
"Great teacher, highly recommended GCP instructor. Really enjoyed my week."
Neil Goodridge. (6.6.2023 (Tuesday) to 9.6.2023 (Friday))
"The CISA course was good for knowledge growth regardless of experience and key to taking the exam. I would definitely recommend."
G. K. . (15.4.2024 (Monday) to 18.4.2024 (Thursday))
"Course material is very comprehensive. Instructor was very friendly and gave multiple views on the topics being discussed and included a good amount of examples."
D. E. . (30.10.2023 (Monday) to 1.11.2023 (Wednesday))
"Course material is very comprehensive. Instructor was very friendly and gave multiple views on the topics being discussed and included a good amount of examples."
D. E. . (30.10.2023 (Monday) to 1.11.2023 (Wednesday))
"Great trainer who has plenty of experience that he shared with us! Valuable insights and practical examples were provided that will help me with my daily tasks! Thank you!"
K. S. . (30.10.2023 (Monday) to 1.11.2023 (Wednesday))
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26.8.2024 (Monday) |
27.8.2024 (Tuesday) |
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10.2.2025 (Monday) |
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