This course introduces the artificial intelligence (AI) and machine learning (ML) offerings on Google Cloud that support the data-to-AI lifecycle through AI foundations, AI development, and AI solutions. It explores the technologies, products, and tools available to build an ML model, an ML pipeline, and a generative AI project based on the different goals of users, including data scientists, AI developers, and ML engineers.
Introduction to AI and Machine Learning on Google Cloud
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Introduction to AI and Machine Learning on Google Cloud
This course is part of multiple programs.
Instructor: Google Cloud Training
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325 reviews
Beginner level
No prior experience required
Flexible schedule
9 hours to complete
Learn at your own pace
85%
Most learners liked this course
What you'll learn
Recognize the data-to-AI technologies and tools offered by Google Cloud.
Use generative AI capabilities in applications.
Choose between different options to develop an AI project on Google Cloud.
Build ML models end-to-end by using Vertex AI.
Skills you'll gain
Tools you'll learn
Details to know
Shareable certificate
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Assessments
4 assignments
Taught in English
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This course is available as part of
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- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate
There are 6 modules in this course
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Showing 3 of 325
NK
Reviewed on Oct 16, 2024
Well-structured for beginners, it balances theory with hands-on exercises. While it could go deeper, it's an excellent springboard for further learning in AI/ML.
CS
Reviewed on Sep 24, 2024
This course is a good intro to cloud computing and IA
JS
Reviewed on Aug 19, 2025
Loved the interactive, up-to-date Labs
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