Claude Code is a course that teaches how to use the intelligent assistant (AI) from Anthropic for programming directly in the terminal. It helps to write, edit, and improve code faster — with the help of artificial intelligence integrated into your workflow.
Claude Code
2h 23m 22s
English
Paid
Claude Code is a 23-lesson 2 hours 23 minutes self-paced course by Mckay Wrigley. Claude Code is a course that teaches how to use the intelligent assistant (AI) from Anthropic for programming directly in the terminal.
Course facts
- Lessons
- 23
- Duration
- 2 hours 23 minutes
- Language
- English
- Instructor
- Mckay Wrigley
- Price
- Premium
What you will learn:
- How to install and set up Claude Code
- How to interact with it so that it correctly understands your tasks
- How it helps write functions, fix errors, and work with large code
- How to connect it to GitHub, VS Code, and other tools
- How to build more complex workflows with its help
Why this is useful:
- Saves your time - AI handles routine tasks
- Easily integrates with your projects and tools
- Helps write code better and faster
Who teaches Claude Code? 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 Claude Code?
0:00
/ #1: 1.1. Welcome
All Course Lessons (23)
| # | Lesson Title | Duration | Access |
|---|---|---|---|
| 1 | 1.1. Welcome Demo | 06:56 | |
| 2 | 1.2. What is Claude Code? | 05:51 | |
| 3 | 1.3. Recommended Resources | 02:26 | |
| 4 | 2.1. Installation | 06:31 | |
| 5 | 2.2. Plans, Pricing, & Models | 05:13 | |
| 6 | 2.3. Setup | 09:56 | |
| 7 | 3.1. Sessions | 12:59 | |
| 8 | 3.2. Managing Context | 05:21 | |
| 9 | 3.3. Rules System | 04:14 | |
| 10 | 3.4. Memory | 02:13 | |
| 11 | 3.5. Planning | 04:33 | |
| 12 | 4.1. Deep Thinking | 03:33 | |
| 13 | 4.2. Custom Commands | 06:13 | |
| 14 | 4.3. Permission System | 02:32 | |
| 15 | 4.4. Running Scripts | 04:41 | |
| 16 | 4.5. Sub-Agents | 05:21 | |
| 17 | 5.1. MCP | 07:34 | |
| 18 | 5.2. GitHub App | 09:17 | |
| 19 | 6.1. Command Generation | 08:20 | |
| 20 | 6.2. Explore -> Plan -> Code | 07:13 | |
| 21 | 6.3. Using Multiple Sessions At Once | 09:36 | |
| 22 | 6.4. Work -> Review | 06:09 | |
| 23 | 6.5. Git Worktrees | 06:40 |
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Frequently asked questions
What prerequisites are needed for this course?
The course requires a basic understanding of programming and familiarity with using a terminal. Prior experience with AI tools or Anthropic's systems is not necessary, as the course covers the relevant setups and usage of Claude Code.
What will I build or accomplish by the end of the course?
By the end of the course, you will be able to integrate Claude Code into your programming workflow. You will learn to use features like managing context, memory, and custom commands in the terminal to write, edit, and improve code efficiently with AI assistance.
What specific tools or platforms does this course cover?
The course focuses on using Claude Code in the terminal. It includes lessons on managing sessions, using the rules system, setting up deep thinking processes, and integrating with a GitHub App for version control and collaboration.
Who is the target audience for this course?
This course is designed for programmers interested in leveraging artificial intelligence to enhance their coding efficiency. It suits developers looking to integrate AI directly into their terminal-based workflows, regardless of their level of experience with AI tools.
How does this course compare in depth and scope to other similar courses?
The course provides a detailed exploration of integrating AI into terminal workflows, with 23 lessons covering installation, context management, and custom command creation. Unlike other courses, it emphasizes practical application through exercises like running scripts and creating sub-agents.
What is not covered in this course?
The course does not cover foundational programming languages or general AI development. It assumes you already have basic programming knowledge and focuses solely on integrating Claude Code into your workflow.
How much time should I expect to commit to this course?
The course consists of 23 lessons, and while the total runtime is listed as 00:00:00, you can expect to spend additional time on practical exercises and setups. The time commitment will vary based on individual pace and prior familiarity with the tools.