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On this accelerated Google Advanced Solutions Lab course, you’ll learn to build high-impact business solutions and to design and implement better models of strategy for your business, while accessing a deep dive into machine learning (ML).
In just 4 days, you’ll learn the fundamentals of ML and Cloud tools, TensorFlow deep dive, image classification and Google Cloud Machine Learning APIs. You’ll also build knowledge on:
There is no exam for this course. Achieve your Google Cloud certification at twice the speed with Firebrand. Through the Lecture | Lab | Review methodology, you’ll get access to approved courseware and learn from certified Google instructors, and train in a distraction-free environment.
There is currently no exam for this accelerated course.
Your accelerated course includes:
Before attending this accelerated course, you should have basic understanding of machine learning.
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, 95.63% 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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27.5.2024 (Monday) |
28.5.2024 (Tuesday) |
Finished - Leave feedback |
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30.9.2024 (Monday) |
1.10.2024 (Tuesday) |
Wait list |
Nationwide |
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11.11.2024 (Monday) |
12.11.2024 (Tuesday) |
Limited availability |
Nationwide |
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3.2.2025 (Monday) |
4.2.2025 (Tuesday) |
Open |
Nationwide |
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17.3.2025 (Monday) |
18.3.2025 (Tuesday) |
Open |
Nationwide |
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