
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 did not like the fact that you don't have access to course material if you cancel you subscription. Moreover the review of the project is made by ai, and sometimes it is buggy. And also it is very expensive. I think you can learn the same stuff elsewhere for cheaper. The quality of the lessons is ok but not something that worth the money.
Jun 18, 2026
great program
Aug 20, 2025
challenging long road, but worth the time.
Jul 23, 2025
Excellent hands-on projects.
Jan 2, 2025
Not worth the money
Nov 27, 2024

Subscription · Monthly