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
Introduction to AI and Machine Learning on Google Cloud
This course is part of multiple programs.
Instructor: Google Cloud Training
Access provided by Coursera Learning Team
48,849 already enrolled
Gain insight into a topic and learn the fundamentals.
332 reviews
Beginner level
No prior experience required
Flexible schedule
9 hours to complete
Learn at your own pace
84%
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
- MLOps (Machine Learning Operations)
- Cloud Infrastructure
- Natural Language Processing
- Google Cloud Platform
- Prompt Engineering Tools
- Machine Learning Methods
- Generative AI Agents
- Agentic systems
- Generative Model Architectures
- Artificial Intelligence and Machine Learning (AI/ML)
- Artificial Intelligence
- Large Language Modeling
- Model Training
- Applied Machine Learning
Details to know
Shareable certificate
Add to your LinkedIn profile
Assessments
4 assignments
Taught in English
See how employees at top companies are mastering in-demand skills
Build your subject-matter expertise
This course is available as part of
When you enroll in this course, you'll also be asked to select a specific program.
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- 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 332
JS
Reviewed on Aug 20, 2025
Loved the interactive, up-to-date Labs
RR
Reviewed on Jan 23, 2025
A very good overview on complex topics and how they intertwine
SS
Reviewed on Mar 13, 2025
Gave a very easy to understand introduction into all the relevant concepts of Machine Learning alongside hands on, guided lab exercises.
