Models and Platforms for Generative AI (edX)

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.

This course is part of the Generative AI for Everyone Professional Certificate.

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

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