Gen AI: Unlock Foundational Concepts is the second course of the Gen AI Leaders learning path. In this course, you unlock the foundational concepts of generative AI by exploring the differences between AI, ML, and gen AI, and understanding how various data types enable generative AI to address business challenges. You also gain insights into Google Cloud strategies to address the limitations of foundation models and the key challenges for responsible and secure AI development and deployment.
Gen AI: Unlock Foundational Concepts
Gen AI: Unlock Foundational Concepts
Instructor: Google Cloud Training
Access provided by Coursera Learning Team
Gain insight into a topic and learn the fundamentals.
Beginner level
No prior experience required
3 hours to complete
3 weeks at 1 hour a week
Flexible schedule
Learn at your own pace
What you'll learn
Define and describe the core gen AI concepts.
Explain how various data types are used in generative AI to solve business problems, drive innovation, and gain a competitive advantage.
Explain the role of foundation models in generative AI, including their capabilities and limitations.
Describe the Google Cloud-recommended strategies for handling LLM limitations.
Details to know
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Assessments
3 assignments
Taught in English
Recently updated!
April 2025
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There are 3 modules in this course
This module covers key generative AI concepts and their differences, focusing on the relationship between data and AI model performance. It also differentiates between machine learning types and provides Google Cloud use cases for each.
What's included
1 assignment5 plugins
This module covers how diverse data types are leveraged in generative AI to foster innovation, solve business problems, and establish a competitive edge.
What's included
1 assignment3 plugins
This module illustrates the function of foundation models in generative AI, along with their potential and constraints.
What's included
1 reading1 assignment2 plugins
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