DeepLearning.AI Short Courses
CoursesFree short courses on prompt engineering, LangChain, RAG, fine-tuning, and more. Built in partnership with OpenAI, Google, and AWS.
Best For
Pricing Plans
Features
Pros & Cons
Pros
- +Completely free short courses
- +Hands-on Jupyter notebooks
- +Industry partnerships
- +Cutting-edge topics
Cons
- -Short format lacks depth
- -Assumes some Python knowledge
- -No certificate for free courses
Getting Started Guide
Step-by-step instructions for non-technical users.
- 1
Visit deeplearning.ai/short-courses
Browse the catalog of 40+ free short courses. Each takes 1-2 hours to complete.
- 2
Start with "ChatGPT Prompt Engineering for Developers"
This course teaches you to use AI APIs effectively โ essential knowledge for any technical founder building with AI.
- 3
Work through the Jupyter notebooks
Each course includes interactive notebooks you run in your browser. No local setup needed.
- 4
Explore specialized topics
Courses cover LangChain, RAG, fine-tuning, vector databases, and more. Pick based on what you are building.
- 5
Consider the specializations
For deeper learning, the paid specializations on Coursera ($49/mo) provide structured multi-course paths with certificates.
Frequently Asked Questions
Are the short courses really free?
Yes โ completely free, no credit card required. The short courses are sponsored by partner companies (OpenAI, Google, AWS) and are genuinely high-quality.
Do I need to know Python?
For most short courses, basic Python knowledge is helpful. The courses provide all code in notebooks, so you can follow along even with minimal Python experience.
Should non-technical founders take these?
The short courses are more technical than "AI for Everyone." If you want to understand the technology behind AI tools, they are excellent. For pure business perspective, start with the Coursera course instead.