Generative AI: Introduction and Applications

Overview

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 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.

Syllabus

Introduction and Capabilities of Generative AI

In this module, you will learn the fundamentals of generative artificial intelligence (AI) and how it differs from discriminative AI. You will also discover the capabilities of generative AI for generating text, image, code, speech, and video as well as for data augmentation.

Applications and Tools of Generative AI

In this module, you will learn about the applications and impact of generative AI in different sectors and industries, such as IT and DevOps, entertainment, education, finance, healthcare, and human resources. You will get an insight into how generative AI is making our work lives more efficient and successful. Next, you will explore the key capabilities and use cases of some commonly used tools for text, image, code, audio, video, and virtual world generation.

Course Quiz, Project, and Wrap-up

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 your comprehension of generative AI-related terms. The module includes an optional project, which provides an opportunity to practice generating text, images, and code through generative AI. Finally, the module guides you about the next steps in your learning journey.