This course is part of multiple programs. Learn more

Instructor: Rav Ahuja

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.
  • Skills you'll gain

    There are 3 modules in this course

    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.

    Applications and Tools of Generative AIĀ 

    Course Quiz, Project, and Wrap-up

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