Skip to main content

IBM: Models and Platforms for Generative AI

This course focuses on the core concepts and models of generative AI, including deep learning and large language models. It covers the concept of foundation models and the capabilities of pre-trained models and platforms for AI application development.

Models and Platforms for Generative AI
3 weeks
1–3 hours per week
Self-paced
Progress at your own speed
Free
Optional upgrade available

There is one session available:

After a course session ends, it will be archivedOpens in a new tab.
Starts May 17
Enroll
Models and Platforms for Generative AI

About this course

Skip About this course

This course is designed for enthusiasts and practitioners who share an interest in the rapidly advancing field of generative AI.

This course centers around the core concepts and generative AI models that form the building blocks of generative AI. You will delve into the concepts of deep learning and large language models (LLMs). You will learn about GANs, VAEs, transformers, and diffusion models – the fundamental components of generative AI.

You will learn about the concept of foundation models. You will gain insights into the capabilities of pre-trained models and platforms for AI application development. The course will also cover how foundation models utilize these platforms to generate text, images, and code. Additionally, participants will explore various generative AI platforms such as IBM watsonX and Hugging Face.

The course includes practical hands-on labs, offering participants the chance to delve into the applications of generative AI using the IBM Generative AI Classroom and platforms like IBM watsonX. Throughout the course, you'll have the opportunity to explore various models, including IBM Granite, OpenAI GPT, Google Flan, and Meta Llama. Additionally, expert practitioners will share insights into the capabilities, applications, and tools of generative AI.

At a glance

  • Language: English
  • Video Transcript: English
  • Associated programs:
  • Associated skills:Artificial Intelligence, Deep Learning, Application Development, Transformers (Electrical)

What you'll learn

Skip What you'll learn
  • Describe the fundamental concepts of generative AI.
  • Explore the building blocks of generative AI, including GANs, VAEs, transformers, and diffusion models.
  • Explain the concept of foundation models in generative AI.
  • Explore the ability of foundation models to generate text, images, and code using pre-trained models.
  • Describe the features, capabilities, and applications of different generative AI platforms, including IBM watsonx and Hugging Face.

Syllabus

Skip Syllabus

Module 1: Models for Generative AI

  • Video: Course Introduction
  • Reading: Course Overview
  • Reading: Program Overview
  • Reading: Helpful Tips for Course Completion
  • Video: Deep Learning and Large Language Models
  • Video: Generative AI Models
  • Video: Foundation Models
  • Hands-on Labs: Generative AI Foundation Models
  • Reading: Module Summary
  • Practice Quiz: Core Concepts and Models of Generative AI
  • Discussion Prompt: Working with Foundation Models
  • Reading: IBM Granite Foundation Models
  • Graded Quiz: Models for Generative AI

Module 2: Platforms for Generative AI

  • Video: Pre-trained Models: Text-to-Text Generation
  • Hands-on Lab: Develop AI Applications with the Foundation Models
  • Video: Pre-trained Models: Text-to-Image Generation
  • Video: Pre-trained Models: Text-to-Code Generation
  • Hands-on Lab: Develop AI Applications for Code Generation
  • Video: IBM watsonx.ai
  • Video 5: Hugging Face
  • Reading: Module Summary
  • Practice Quiz: Pre-trained Models and Platforms for AI Applications Development
  • Graded Quiz: Platforms for Generative AI

Module 3: Course Quiz, Project, and Wrap-up

  • Glossary - Generative AI: Foundation Models and Platforms
  • Final Project: Working with IBM Granite Foundation Models
  • Graded Quiz: Generative AI: Foundation Models and Platforms
  • Reading: Congratulations and Next Steps
  • Reading: Thanks from the Course Team

Who can take this course?

Unfortunately, learners residing in one or more of the following countries or regions will not be able to register for this course: Iran, Cuba and the Crimea region of Ukraine. While edX has sought licenses from the U.S. Office of Foreign Assets Control (OFAC) to offer our courses to learners in these countries and regions, the licenses we have received are not broad enough to allow us to offer this course in all locations. edX truly regrets that U.S. sanctions prevent us from offering all of our courses to everyone, no matter where they live.

This course is part of Generative AI for Everyone Professional Certificate Program

Learn more 
Expert instruction
5 skill-building courses
Self-paced
Progress at your own speed
4 months
1 - 3 hours per week

Ways to take this course

Choose your path when you enroll.

Certificate

Free

Price

$49 USD

-

Access to course materials

Unlimited

Limited

Expires on Jun 7

World-class institutions and universities

edX support

Shareable certificate upon completion

Graded assignments and exams

Read our FAQsin a new tab about frequently asked questions on these tracks.

Interested in this course for your business or team?

Train your employees in the most in-demand topics, with edX For Business.
Purchase nowRequest information