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 IMPACT Global
48,413 already enrolled
332 reviews
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
- Agentic systems
- Generative Model Architectures
- Artificial Intelligence and Machine Learning (AI/ML)
- Artificial Intelligence
- Generative AI Agents
- Model Training
- Large Language Modeling
- MLOps (Machine Learning Operations)
- Cloud Infrastructure
- Machine Learning Methods
- Natural Language Processing
- Google Cloud Platform
- Prompt Engineering Tools
- Applied Machine Learning
Details to know

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Build your subject-matter expertise
- 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
Reviewed on Nov 30, 2025
I became familiar with Google Cloud Platform: BigQueryML, Vertex AI
Reviewed on May 14, 2024
it fulfilled the objective "Introduction", and the content is better than expected
Reviewed on Aug 20, 2025
It's excellent with a lot of excellent additional reading to deep dive. Thanks




