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Introduction to AI and Machine Learning on Google Cloud
This course is part of Google Cloud Machine Learning Engineer Certificate Prep.
Course Cost
Free course
Beginner
Skill Level
7 Hours
Self-paced lessons
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Preparing for Google Cloud Certification: Machine Learning Engineer Professional Certificate program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
12,549 Enrolled
English
What you'll learn
Recognize and utilize Google Cloud's data-to-AI technologies
Implement generative AI capabilities in applications
Select appropriate AI development tools for specific projects
Build and deploy ML models using Vertex AI
Design and automate ML workflows and pipelines
Work with pre-trained APIs and AutoML solutions
Skills you'll gain
This course includes:
2.8 Hours PreRecorded video
4 quizzes
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate
Get a Completion Certificate
Share your certificate with prospective employers and your professional network on LinkedIn.
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Get a Completion Certificate
Share your certificate with prospective employers and your professional network on LinkedIn.
CREATED BY
PROVIDED BY
Top companies offer this course to their employees
Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.
There are 6 modules in this course
This comprehensive course introduces the AI and ML capabilities of Google Cloud, focusing on the complete data-to-AI lifecycle. Students learn about AI foundations, development options, and solutions through hands-on experience with key tools like Vertex AI, BigQuery ML, and Generative AI Studio. The curriculum covers essential concepts from basic ML model building to advanced topics like MLOps and automated pipelines, providing a solid foundation for developing AI projects on Google Cloud.
Introduction
Module 1 · 4 Minutes to complete
AI Foundations
Module 2 · 2 Hours to complete
Generative AI
Module 3 · 2 Hours to complete
AI Development Options
Module 4 · 1 Hours to complete
AI Development Workflow
Module 5 · 3 Hours to complete
Summary
Module 6 · 16 Minutes to complete
Fee Structure
Individual course purchase is not available - to enroll in this course with a certificate, you need to purchase the complete Professional Certificate Course. For enrollment and detailed fee structure, visit the following: Google Cloud Machine Learning Engineer Certificate Prep
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Faculties
These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.
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Students
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Frequently asked Questions
Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.