
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
The course covered the concepts clearly with practical exercises. I found it very helpful as a review of topics.
Mar 11, 2026
All good!!!!
Mar 11, 2026
very helpful and clear
Jan 20, 2026
Helpful and useful
Dec 15, 2025
Udacity focuses on what really matters: practical, hands-on skills. Unlike many programs that drown you in theory, here you actually build real projects with tools like Python, SQL, and Git. This made learning engaging and directly useful for my career. Highly recommend it to anyone who prefers action over lectures!
May 23, 2025

Subscription · Monthly