Generative AI: Foundation Models and Platforms

Beginner Level
7 hours to completeLearn at your own pace
Flexible Schedule

IBM Skills Network Team

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

Skills You’ll Gain

Deep Learning Large Language Modeling Generative Model Architectures

Shareable Certificate

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Develop Your Specialized Knowledge

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 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.

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.

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.