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On this accelerated Google Cloud Fundamentals: Big Data and Machine Learning course, introduces participants to the big data capabilities of Google Cloud Platform. Through a combination of presentations, demos, and hands-on labs, you will get an overview of the Google Cloud platform and a detailed view of the data processing and machine learning capabilities. This course showcases the ease, flexibility, and power of big data solutions on Google Cloud Platform.
At the end of this course, you’ll achieve your Google Cloud Fundamentals: Big Data and Machine Learning certification.
Through Firebrand’s Lecture | Lab | Review methodology, you’ll get certified at twice the speed of the traditional training and get access to courseware, learn from certified instructors, and train in a distraction-free environment.
This course is ideal for:
At the end of this accelerated course, you’ll achieve your Google Cloud Fundamentals: Big Data and Machine Learning Certification.
Your accelerated course includes:
Before attending this accelerated course, you should have:
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, 94.69% 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))
"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))
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26.8.2024 (Monday) |
26.8.2024 (Monday) |
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10.2.2025 (Monday) |
10.2.2025 (Monday) |
Limited availability |
Nationwide |
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24.3.2025 (Monday) |
24.3.2025 (Monday) |
Open |
Nationwide |
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5.5.2025 (Monday) |
5.5.2025 (Monday) |
Open |
Nationwide |
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16.6.2025 (Monday) |
16.6.2025 (Monday) |
Open |
Nationwide |
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