IBM
Generative AI: Foundation Models and Platforms
IBM

Generative AI: Foundation Models and Platforms

This course is part of multiple programs.

Rav Ahuja

Instructor: Rav Ahuja

Sponsored by Google People Development

13,671 already enrolled

Gain insight into a topic and learn the fundamentals.
4.7

(139 reviews)

Beginner level

Recommended experience

6 hours to complete
3 weeks at 2 hours a week
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
4.7

(139 reviews)

Beginner level

Recommended experience

6 hours to complete
3 weeks at 2 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • Describe the fundamental concepts of generative AI and its core models

  • Explain the concept of foundation models in generative AI

  • Explore the capabilities of pre-trained models for AI-powered applications.

  • Explore the features, capabilities, and applications of different generative AI platforms, such as IBM watsonx and Hugging Face

Details to know

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Assessments

5 assignments

Taught in English

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There are 3 modules in this course

In this module, you will dive into the core concepts of generative AI, such as deep learning and LLMs. You will explore the models that form the building blocks of generative AI, including GANs, VAEs, transformers, and diffusion models. You will get acquainted with foundation models and gain insight into how you can use these models as a starting point to generate content.

What's included

4 videos5 readings2 assignments1 app item1 discussion prompt1 plugin

In this module, you will learn about pre-trained models and platforms for AI application development. You will explore the ability of foundation models to generate text, images, and code using pre-trained models. You will also learn about the features, capabilities, and applications of different platforms, including IBM watsonx and Hugging Face.

What's included

5 videos2 readings2 assignments2 app items1 plugin

This module includes a graded quiz to test and reinforce your understanding of concepts covered in the course. The module also includes a glossary to enhance comprehension of generative AI-related terms. The module includes a final project, which provides an opportunity to gain hands-on experience on the concepts covered in the course. Finally, the module guides you through the next steps in your learning journey.

What's included

3 readings1 assignment2 app items4 plugins

Instructor

Instructor ratings
4.3 (33 ratings)
Rav Ahuja
IBM
53 Courses3,057,507 learners

Offered by

IBM

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4.7

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Recommended if you're interested in Data Science

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