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The Google Cloud AI and ML Fundamentals course is designed to provide participants with a solid foundation in artificial intelligence and machine learning on the Google Cloud Platform. Throughout the course, learners will explore key concepts such as machine learning models, data preparation, and the use of various Google Cloud tools for AI applications.
Learning objectives include understanding different types of machine learning, building and deploying models, and recognizing practical applications in real-world scenarios. By the end of the course, participants will gain hands-on experience that empowers them to apply AI and ML concepts in their own projects, enhancing their skills for today’s tech-driven landscape.
Purchase This Course
USD
View Fees Breakdown
Course Fee | 1,075 |
Total Fees |
1,075 (USD) |
USD
View Fees Breakdown
Course Fee | 850 |
Total Fees |
850 (USD) |
USD
View Fees Breakdown
Flexi Video | 16,449 |
Official E-coursebook | |
Exam Voucher (optional) | |
Hands-On-Labs2 | 4,159 |
+ GST 18% | 4,259 |
Total Fees (without exam & Labs) |
22,359 (INR) |
Total Fees (with exam & Labs) |
28,359 (INR) |
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♱ Excluding VAT/GST
You can request classroom training in any city on any date by Requesting More Information
♱ Excluding VAT/GST
You can request classroom training in any city on any date by Requesting More Information
Prerequisites for Google Cloud AI and ML Fundamentals Course
To successfully undertake training in the Google Cloud AI and ML Fundamentals course, students should have the following minimum knowledge and skills:
These prerequisites ensure that participants can engage fully with the course material and build a solid foundation in AI and machine learning using Google Cloud technologies.
The Google Cloud AI and ML Fundamentals course provides foundational knowledge of artificial intelligence and machine learning using Google Cloud's tools, targeting professionals looking to enhance their skills in these cutting-edge technologies.
The Google Cloud AI and ML Fundamentals course equips learners with foundational knowledge and skills to harness the power of AI and ML on Google Cloud, emphasizing practical applications and core concepts.