Generative AI: Introduction and Applications

By Coursera on Coursera · Data Science
Price
Free

About This Course

This course is designed for everyone—professionals, executives, students, and enthusiasts—interested in learning about generative AI and leveraging its capabilities in their work and lives. It is your first step toward understanding the power of generative AI, driven by models such as large language models (LLMs). In this course, you will learn the fundamentals and evolution of generative AI, with additional readings and expert insights offering a deeper view of its history and advancements. You will explore its capabilities across text, image, audio, video, virtual worlds, code, and data, with key takeaways and enhanced summaries at the end of each section to reinforce learning. You will understand the applications of generative AI in industries such as IT, finance, healthcare, education, entertainment, and human resources. You will also discover the features of popular tools and models, including GPT, DALL-E, Stable Diffusion, and Synthesia. Hands-on labs provide opportunities to practice using IBM Generative AI Classroom and tools such as ChatGPT. You will also hear from industry practitioners sharing real-world insights. Interactive activities, podcasts, and scenario-based exercises help you apply concepts, while a final practical project consolidates your skills by generating and refining outputs across multiple formats.

Instructor

Rav Ahuja

Frequently Asked Questions

How much does Generative AI: Introduction and Applications cost?
Visit the Generative AI: Introduction and Applications course page for current pricing and available discounts.
Who teaches Generative AI: Introduction and Applications?
Generative AI: Introduction and Applications is taught by Rav Ahuja, IBM.
What skill level is Generative AI: Introduction and Applications for?
This course is designed for beginner learners.