Innovating with Google Cloud Artificial Intelligence
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Innovating with Google Cloud Artificial Intelligence
This course is part of Google Cloud Digital Leader Training Professional Certificate
Instructor: Google Cloud Training
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116 reviews
116 reviews
What you'll learn
Explore the fundamental concepts of artificial intelligence, machine learning, generative AI, and agentic AI.
Identify the specific business problems machine learning can solve, along with the importance of high quality data and responsible AI practices.
Describe the four distinct paths to building machine learning models on Google Cloud, and the AI Hypercomputer architecture that supports them.
Examine the strategic tradeoffs around speed, differentiation, expertise, and effort required to choose the right AI solution for an organization.
Skills you'll gain
Details to know
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Build your Cloud Computing 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 from Google Cloud
There are 4 modules in this course
Artificial intelligence (AI) and machine learning (ML) represent an important evolution in information technologies that are quickly transforming a wide range of industries. Innovating with Google Cloud Artificial Intelligence explores how organizations can use AI and ML to transform their business processes.
As part of the Cloud Digital Leader learning path, this course aims to help individuals grow in their role and build the future of their business.
Move beyond traditional analytics to understand how AI and machine learning uncover patterns in massive datasets. This module investigates how these technologies differ from standard data processing and how applying responsible AI frameworks can mitigate risk while solving complex business problems.
What's included
1 assignment5 plugins
1 assignment•Total 12 minutes
- Quiz 1•12 minutes
5 plugins•Total 29 minutes
- Innovating with Google Cloud Artificial Intelligence•4 minutes
- The landscape of artificial intelligence•6 minutes
- Agentic AI•4 minutes
- The business value of AI and ML•6 minutes
- Laying the foundation for successful ML•9 minutes
Discover how to implement AI without a team of specialized data scientists. This module details the four distinct paths to model building, ranging from pre-trained APIs to custom development, and evaluates the strategic trade-offs between speed, cost, and customization for each.
What's included
1 assignment4 plugins
1 assignment•Total 12 minutes
- Quiz 2•12 minutes
4 plugins•Total 27 minutes
- Google Cloud’s AI and ML solutions•3 minutes
- Four paths to build ML models•10 minutes
- Google’s AI Hypercomputer•7 minutes
- Considerations when selecting Google Cloud AI/ML solutions•7 minutes
The course closes with a summary of the key points covered in each section and next steps to continue learning.
What's included
1 plugin
1 plugin•Total 2 minutes
- Course summary•2 minutes
Course resources
What's included
1 reading
1 reading•Total 10 minutes
- Course study guide•10 minutes
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Reviewed on Jul 15, 2024
The course did exactly what I expected. Gave an intro to AI and Machine Learning and educated the end user on what products Google offers.
Reviewed on Mar 12, 2025
Covers the big picture super quick in the most practical way! Love google and their suite of products. Taught me a lot about GCP's offerings and the point of Vertex AI for businesses
Frequently asked questions
To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
When you enroll in the course, you get access to all of the courses in the Certificate, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.
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