Cursor: Coding with AI
What you will learn:
- How to use the key AI features of Cursor.
- Best practices for working with Cursor functions like Chat and Composer.
- Creating web applications using Cursor Composer Agents.
Course outline:
- Introduction to the course
- Installing Cursor.
- Setting up the environment.
- Cursor Tab
- Code autocompletion.
- Multi-Edits and Smart Rewrites functions.
- Code prediction (Cursor Prediction).
- Chat
- Overview and use of chat function for exploring code base.
- Setting up and optimizing interaction with AI.
- Commands
- Quick editing and answering questions directly from the editor and terminal.
- Composer
- Overview of Composer and its use.
- Creating projects with Composer Agents.
- Conclusion
- Course summary and further recommendations.
Requirements:
- Basic knowledge of Python.
- Cursor tool installed (installation instructions are provided in the course).
- A Cursor Pro account is recommended (a 14-day trial version is available).
- A paid OpenAI account for access to API keys (required for the final project).
Additional
Project repo: https://github.com/dair-ai/cursor-course
Download and install Miniconda: https://docs.anaconda.com/miniconda/
You will need to set up a paid OpenAI account and get your own OpenAI API key here: https://platform.openai.com/
The OpenAI API Key will also be used for the upcoming projects.
About the Author: DAIR.AI (Elvis Saravia)
DAIR.AI (Democratizing Artificial Intelligence Research) is the educational arm founded by Elvis Saravia, a former Meta AI researcher and the maintainer of one of the most-starred prompt-engineering reference repositories on GitHub. The brand has become one of the more authoritative independent sources on the practical engineering side of LLM applications.
The CourseFlix listing carries five DAIR.AI courses spanning the applied AI track: Introduction to Prompt Engineering, Advanced Prompt Engineering, Introduction to RAG, Introduction to AI Agents, and Cursor — Coding with AI.
Material is paid and aimed at engineers picking up applied LLM and AI-coding work as deliberate professional skills. For broader content, see CourseFlix's Prompt Engineering, RAG, AI Agents, and AI-Assisted Coding category pages.
Watch Online 30 lessons
| # | Lesson Title | Duration | Access |
|---|---|---|---|
| 1 | Course Introduction Demo | 01:32 | |
| 2 | Installing Cursor | 06:02 | |
| 3 | Course Pricing | 03:20 | |
| 4 | Cursor Settings | 09:44 | |
| 5 | Project Setup | 07:08 | |
| 6 | Cursor Tab | 03:36 | |
| 7 | Cursor Autocomplete | 04:26 | |
| 8 | Multi-Edits and Smart Rewrites | 07:36 | |
| 9 | Cursor Prediction | 06:23 | |
| 10 | Partial Accept | 04:17 | |
| 11 | Putting It Together | 04:31 | |
| 12 | Chat Introduction | 04:41 | |
| 13 | Chat Overview | 03:34 | |
| 14 | Chat Submit | 03:00 | |
| 15 | User & AI Messages | 06:19 | |
| 16 | Customize Chat | 04:37 | |
| 17 | Instant Apply | 05:17 | |
| 18 | Reference Your Code | 06:21 | |
| 19 | Web Queries | 03:59 | |
| 20 | Add Docs | 09:44 | |
| 21 | Codebase Answers | 05:45 | |
| 22 | Links | 03:11 | |
| 23 | Fast Edits | 05:28 | |
| 24 | Quick Questions | 05:32 | |
| 25 | Terminal вЊ K | 02:50 | |
| 26 | Composer Overview | 03:57 | |
| 27 | Composer Usage | 05:59 | |
| 28 | Composer Agent Project (Part 1) | 12:36 | |
| 29 | Composer Agent Project (Part 2) | 11:36 | |
| 30 | Conclusion | 02:56 |
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