The course teaches how to use Cursor to accelerate software code development. The course covers working with various features of Cursor, demonstrates best practices for using artificial intelligence in programming, and helps increase productivity.
Cursor: Learn to Code with AI
4h 50m 14s
English
Paid
Cursor: Learn to Code with AI is a 37-lesson 4 hours 50 minutes self-paced course by Mckay Wrigley. The course teaches how to use Cursor to accelerate software code development.
Course facts
- Lessons
- 37
- Duration
- 4 hours 50 minutes
- Level
- All levels
- Language
- English
- Updated
- Instructor
- Mckay Wrigley
- Price
- Premium
Additional
Who teaches Cursor: Learn to Code with AI? Mckay Wrigley
Mckay Wrigley is a US developer and AI educator who runs Takeoff AI, an applied-AI engineering academy that has grown into one of the most active LLM-focused course platforms on the market. He publishes daily on X / Twitter, is widely cited for his ChatGPT / Claude-integration tutorials, and has one of the larger independent applied-AI followings.
His CourseFlix listing carries sixteen Takeoff courses — covering everything from foundational LLM-integration with the OpenAI and Anthropic APIs through RAG pipelines, AI-assisted coding workflows, and full-stack AI product builds. Material is paid and aimed at working developers who want to ship AI features into real products rather than read survey-style introductions to the field.
What lessons are included in Cursor: Learn to Code with AI?
0:00
/ #1: 1.1 What is Cursor?
All Course Lessons (37)
| # | Lesson Title | Duration | Access |
|---|---|---|---|
| 1 | 1.1 What is Cursor? Demo | 04:12 | |
| 2 | 2.1 Signing Up | 03:01 | |
| 3 | 2.2 Installation | 00:52 | |
| 4 | 2.3 Recommended Settings | 15:28 | |
| 5 | 2.4 Custom API Keys | 02:35 | |
| 6 | 2.5 Project Setup | 05:24 | |
| 7 | 3.1 Intro | 04:31 | |
| 8 | 3.2 Autocomplete | 12:52 | |
| 9 | 3.3 New vs. Edit | 03:49 | |
| 10 | 3.4 Prediction | 08:40 | |
| 11 | 3.5 Context | 06:38 | |
| 12 | 3.6 Rewrites | 07:24 | |
| 13 | 3.7 Putting It Together | 07:59 | |
| 14 | 4.1 Intro | 02:15 | |
| 15 | 4.2 AI Sidebar | 04:42 | |
| 16 | 4.3 Codebase Chat | 06:42 | |
| 17 | 4.4 File Tagging | 09:24 | |
| 18 | 4.5 Instant Apply | 11:08 | |
| 19 | 4.6 Debugging | 04:00 | |
| 20 | 4.7 Attach Images | 04:06 | |
| 21 | 4.8 Web Search | 03:36 | |
| 22 | 4.9 Putting It Together | 08:44 | |
| 23 | 5.1 Intro | 01:27 | |
| 24 | 5.2 Edits | 07:45 | |
| 25 | 5.3 Terminal | 04:57 | |
| 26 | 5.4 Quick Question | 03:32 | |
| 27 | 5.5 Putting It Together | 09:50 | |
| 28 | 6.1 Setup | 03:25 | |
| 29 | 6.2 Example | 15:00 | |
| 30 | 7.1 Intro | 01:33 | |
| 31 | 7.2 Voice | 08:48 | |
| 32 | 7.3 Markdown Todos | 10:11 | |
| 33 | 7.4 Prompt Files | 08:27 | |
| 34 | 7.5 Composer Projects | 10:24 | |
| 35 | 7.6 UI with V0 | 16:05 | |
| 36 | 7.7 Using Perplexity | 05:22 | |
| 37 | 8.1 Your 1st AI Chat App | 45:26 |
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Frequently asked questions
What are the prerequisites for enrolling in this course?
The course does not specify any formal prerequisites, but a basic understanding of software development concepts would be beneficial. The lessons cover fundamental aspects such as signing up, installation, and recommended settings, which suggests the course is suitable for beginners looking to enhance their programming skills with AI tools.
What kind of projects will I work on during the course?
The course includes practical exercises such as setting up projects, using AI for code prediction and rewriting, and developing a first AI chat application. These projects help students to practically apply the features of Cursor in real-world scenarios, enhancing their coding productivity.
Who is the target audience for this course?
The course is intended for software developers interested in integrating AI into their coding workflow. Whether you are a beginner looking to improve your coding skills or an experienced developer wanting to leverage AI for productivity, the course provides tools and techniques applicable to various levels of expertise.
How does this course compare in depth and scope to other AI coding courses?
This course focuses specifically on using Cursor to enhance coding productivity with AI. Covering 37 lessons, it dives into features like autocomplete, prediction, and codebase chat, offering a detailed exploration of AI-enhanced coding. Compared to broader AI courses, this is specialized in its application to programming with Cursor.
Which specific tools or platforms will I learn to use?
Students will learn to use Cursor, an AI tool for coding, along with features such as the AI sidebar, file tagging, and codebase chat. The course emphasizes practical applications of these tools, including project setup, debugging, and instant apply functionalities, to streamline the coding process.
What topics are not covered in this course?
The course does not cover broader AI concepts or programming languages beyond the context of using Cursor. It is tailored to those who want to improve productivity through AI in software development, rather than providing a deep dive into AI theory or unrelated coding topics.
What is the time commitment expected for completing this course?
The course consists of 37 lessons. While the total runtime is not specified, students can expect to invest a significant amount of time to adequately explore features like autocomplete, debugging, and AI chat application development. Self-paced learning allows flexibility, but a regular study schedule is recommended for mastery.