Generative AI: Introduction and Applications
Key Takeaways
Introduces and applies generative AI using large language models (LLMs)
Original Description
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.
Watch on External: Coursera ↗
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