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IBM

Introduction to Generative AI

IBM via edX

Overview

This course is your first step toward understanding the capabilities of generative AI, powered by different models, including large language models (LLMs).

In this course, you will learn about the fundamentals and evolution of generative AI. You will explore the capabilities of generative AI in different domains, including text, image, audio, video, virtual worlds, code, and data. You will understand the applications of Generative AI across different sectors and industries. You will learn about the capabilities and features of common generative AI models and tools, such as GPT, DALL-E, Stable Diffusion, and Synthesia.

Hands-on labs, included in the course, provide an opportunity to explore the use cases of generative AI through IBM Generative AI Classroom and popular tools like ChatGPT. You will also hear from the practitioners about the capabilities, applications, and tools of Generative AI.

This course is designed for everyone, including professionals, executives, students, and enthusiasts, interested in learning about generative AI and leveraging its capabilities in their work and lives.

Syllabus

Syllabus

Welcome

  • Video: Specialization Introduction
  • Video: Course Introduction
  • Video: Why Learn Generative AI with IBM
  • Reading: Course Welcome and Overview
  • Reading: Helpful Tips for Course Completion
  • General Information
  • Learning Objectives and Syllabus
  • Grading Scheme

Module 1: Introduction and Capabilities of Generative AI

  • Reading: Module Introduction and Learning Objectives
  • Reading: Program Overview
  • Video: Introduction to Generative AI
  • Video: Capabilities of Generative AI
  • Lab: Generate Text Using Generative AI Classroom
  • Expert Viewpoints Video: SME Introductions
  • Expert Viewpoints Video: Generative AI Capabilities
  • Expert Viewpoints Video: Exploring the Evolution of Generative AI
  • Reading: Module Summary: Introduction and Capabilities of Generative AI
  • Practice Quiz: Generative AI and Its Capabilities
  • Discussion Prompt: Introduce Yourself and Your Familiarity with Generative AI
  • Graded Quiz: Introduction and Capabilities of Generative AI

Module 2: Applications and Tools of Generative AI

  • Reading: Module Introduction and Learning Objectives
  • Video: Applications of Generative AI
  • Reading: Economic Potential of Generative AI
  • Video: Tools for Text Generation
  • Lab: Text Generation in Action
  • Video: Tools for Image Generation
  • Lab: Image Generation in Action
  • (Optional) Lab: Image Generation in Action with Microsoft Copilot
  • Video: Tools for Audio and Video Generation
  • Video: Tools for Code Generation
  • Expert Viewpoints Video: Leveraging Generative AI Tools
  • Lab: Code Generation in Action
  • Expert Viewpoints Video: Exploring Generative AI Applications Across Domains
  • Reading: Module Summary: Applications and Tools of Generative AI
  • Practice Quiz: Generative AI: Applications and Tools
  • Discussion Prompt: Generative AI in the Workplace
  • Graded Quiz: Generative AI: Applications and Tools

Module 3: Course Quiz and Final Project

  • Reading: Module Introduction and Learning Objectives
  • Final Exam: Generative AI: Introduction and Applications
  • Final project
  • Course Wrap-Up
  • Glossary: Generative AI: Introduction and Applications
  • Reading: Congratulations and Next Steps
  • Team & Acknowledgements

Course Rating

  • Course Rating

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Taught by

Rav Ahuja

Reviews

4.4 rating at edX based on 139 ratings

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