
Uohna Thiessen
Data Scientist/AI Interaction Strategist
This course provides a comprehensive high-level overview of Generative AI, beginning with foundational concepts and terminology and then delving into specific applications such as Large Language Models (LLMs) for text generation and diffusion-based models image creation. Key lessons include an in-depth look at LLMs, AI image generation methods, and hands-on experience with tools like DALL-E and Midjourney. The course concludes by addressing practical aspects of deploying Generative AI in production environments, focusing on data collection, prompt execution, maintenance, and orchestration strategies.

Subscription · Monthly
1 skill
0 prerequisites
You will need to be able to communicate fluently and professionally in written and spoken English.
9 instructors
Unlike typical professors, our instructors come from Fortune 500 and Global 2000 companies and have demonstrated leadership and expertise in their professions:

Uohna Thiessen
Data Scientist/AI Interaction Strategist

Rohan Viswanathan
President of Machine Learning @ Berkeley

Giacomo Vianello
Director, Machine Learning Engineer

Raphael Mallari
Video Producer at Udacity | Freelance Video Editor

Ed Wiley
AI Expert and Consultant, Ed Wiley Ventures, LLC

Erick Galinkin
Principal AI Researcher

Chang She
CEO and Co-founder of LanceDB

Sergei Kozyrenko
Senior Staff Engineer

Emily McMilin
Research Scientist
I think Gen AI Fluency in Udacity is a useful course that clearly introduces key concepts in generative AI and helps understand both the technology and its real-world applications in a practical way.
Feb 2, 2026
Clear and practical introduction to Generative AI
Feb 1, 2026
Good experience and learning
Feb 1, 2026
The course is a bit demanding, but it is in line with common expectations
Feb 1, 2026
Great content
Feb 1, 2026

Subscription · Monthly