Claude Code for Beginners: Build Real Projects with AI
This course runs for 2h 21m and is designed for beginner learners. It is taught by Erdem Eris, published by Udemy, and was released on 2026-09-08. The course taught in en-US, includes exercise files, and uses Claude Code.
Course Overview
This beginner-level course teaches you how to build software projects using Claude Code, an AI coding agent, without needing programming experience. You will create four real projects including a terminal to-do app, a live portfolio website, a habit tracker web app with a database, and an automation that organizes files and runs on a schedule. The course covers practical skills such as writing effective prompts, using plan mode and permissions, managing project instructions, testing, debugging, code review, and advanced features like custom commands and subagents.
Key Takeaways
Install and set up Claude Code on Windows, Mac, or Linux.
Write prompts that produce accurate results using the Goal, Context, Constraints, Done-when formula.
Build and publish real projects including websites and automations.
Use plan mode, permissions, and git to maintain control and safety.
Teach Claude project rules with instruction files and manage session context.
Make Claude test, debug, and review its own code.
Extend Claude Code with advanced features while controlling costs.
Prerequisites
A Windows, Mac, or Linux computer with internet access.
A Claude account with either a Pro subscription or an API key.
No prior programming experience required; ability to install apps and type is sufficient.
Target Learners
Complete beginners wanting to build software without coding knowledge.
Students, freelancers, small business owners with ideas for websites, apps, or automations.
Anyone who has tried AI coding tools like ChatGPT but struggled with errors.
Developers seeking a practical introduction to agentic coding with Claude Code.
Final Project
The capstone project involves building a real automation task end-to-end with Claude Code, running it on a schedule, and sharing it with documentation on GitHub.