An IBM edX course that distinguishes generative from discriminative AI, then surveys generative AI's capabilities across text, image, audio, video, code and data, walking through specific tools like GPT, DALL-E and Stable Diffusion. A clear, broad orientation to the generative-AI landscape, no coding required.
Good for: A broad, no-code orientation to generative AI and its tools.
Less suitable if: You want to build with generative AI or go deep technically.
This course distinguishes generative from discriminative AI, then surveys generative AI's capabilities across text, image, audio, video, code, and data, walking through specific tools (GPT, DALL-E, Stable Diffusion, Synthesia) with hands-on labs through IBM's Generative AI Classroom and tools like ChatGPT, plus video segments from IBM practitioners on real applications across different sectors.
What you'll learn
Describe generative AI and distinguish it from discriminative AI
Identify generative AI capabilities and real-world use cases
Recognize generative AI applications across different sectors and industries
Explore generative AI models and tools for text, code, image, audio, and video
Demonstrate generative AI use cases for text, image, and code generation through hands-on labs
This course includes
6h
On-demand video
Yes
Certificate
Yes
Mobile access
English
Language
What it costs
You can audit the course free on edX. A verified certificate is a paid option, with financial assistance available.
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