Generative AI: Introduction and Applications

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

  •   Prompt Engineering
  •   ChatGPT
  •   Large Language Modeling
  •   Generative AI
  •   Image Analysis
  •   Artificial Intelligence
  •   Virtual Environment
  •   Content Creation
  •   Program Development
  •   OpenAI
  • There are 3 modules in this course

    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.

    Applications and Tools of Generative AIĀ 

    Course Quiz, Project, and Wrap-up

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