In this course, you will learn about the fundamentals of generative AI. You will explore the capabilities and applications of generative AI across different domains. You will explore the capabilities and features of common generative AI models and tools.
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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.
This course is part of the Generative AI for Everyone Professional Certificate.
What you'll learn
- Describe generative AI and distinguish it from discriminative AI.
- Describe the capabilities of generative AI and its use cases in the real world.
- Identify the applications of generative AI in different sectors and industries.
- Explore common generative AI models and tools for text, code, image, audio, and video generation.
- Demonstrate the use cases of generative AI for text, image, and code generation.
Syllabus
Module 1: Introduction and Capabilities of Generative AI
• Video: Course Introduction
• Reading: Course Overview
• Reading: Program Overview
• Reading: Helpful Tips for Course Completion
• Video: Introduction to Generative AI
• Video: Capabilities of Generative AI
• Hands-on Lab: Generate Text using Generative AI
• Reading: Module Summary
• Practice Quiz: Generative AI and Its Capabilities
• Graded Quiz: Introduction and Capabilities of Generative AI
• Discussion Prompt: Introduce Yourself and Your Familiarity with Generative AI
Module 2: Applications and Tools of Generative AI
• Video: Applications of Generative AI
• Reading: Economic Potential of Generative AI
• Video: Tools for Text Generation
• Hands-on Lab: Text Generation in Action
• Video: Tools for Image Generation
• Hands-on Lab: Image Generation in Action
• Video: Tools for Audio and Video Generation
• Video: Tools for Code Generation
• Hands-on Lab: Code Generation in Action
• Reading: Module Summary
• Practice Quiz: Generative AI: Applications and Tools
• Graded Quiz: Applications and Tools of Generative AI
• Discussion Prompt: Generative AI in the Workplace
Module 3: Course Quiz, Project, and Wrap-up
• Glossary - Generative AI: Introduction and Applications
• Final Project: Generating Text, Images, and Code
• Graded Quiz: Generative AI: Capabilities, Applications, and Tools
• Reading: Congratulations and Next Steps
• Reading: Thanks from the Course Team
