Your cart is empty.
Keep shopping
AI Coding & Agentic Development: Copilot, Cursor, Claude
2,812 students
AI Coding & Agentic Development: Copilot, Cursor, Claude
Learn AI-assisted development with Copilot, Cursor, Claude Code, Codex, MCP, debugging, testing and code review.
Created byFaisal Zamir
Last updated 9/2026
English
English [Auto],
What you'll learn
- Compare AI coding assistants, IDE tools and agents to choose an appropriate development workflow.
- Use GitHub Copilot completion, chat, agent workflows and command-line capabilities.
- Apply Cursor AI editing tools, project rules and context to understand and modify code.
- Use Claude Code workflows to explore projects and make changes against stated requirements.
- Apply AI assistance to debugging, refactoring, unit testing and code review.
- Explain MCP tool integration and apply human review when working with AI coding agents.
Explore related topics
Course content
9 sections • 29 lectures • 3h 51m total length
Requirements
- No prior AI experience is required
Description
Learn AI coding tools and build a practical AI-assisted development workflow with GitHub Copilot, Cursor AI and Claude Code.
This course shows you how to use coding assistants and AI coding agents across everyday software development tasks. Explore how to move from an idea to a clear specification, generate and understand code, investigate errors, create tests and review suggested changes.
You will begin with the modern AI coding landscape. Understand the differences between chat-based assistants, IDE tools and agentic workflows, then learn how to choose an approach for the task in front of you.
GitHub Copilot for everyday development
Explore code completion, chat and agent workflows. Use Copilot to support debugging and testing, and learn how its command-line and GitHub integrations fit into a development workflow.
Cursor AI for editing and project understanding
Work with Cursor Tab, chat, inline editing and Agent Mode. Explore project context and rules, and learn how to guide an AI assistant when understanding or changing an existing codebase.
Claude Code for development tasks
Explore Claude Code workflows and approaches to working with larger projects. Practise supplying relevant context and reviewing changes against your requirements.
Compare tools and approaches
Explore additional tools, including OpenAI Codex and Google Antigravity, alongside ChatGPT and the course’s main coding tools. Understand what to consider when selecting an assistant for a particular task.
Apply AI throughout the coding workflow
Use AI assistance for codebase exploration, debugging, refactoring, unit-test generation and code review. Explore security analysis while recognizing that automated suggestions require verification.
Learn how MCP and tool integration can connect AI workflows to additional capabilities, and examine the developer’s responsibilities when agents take actions.
The course combines existing Python and ChatGPT examples with broader development workflows. It is designed for students, junior developers, freelancers and programmers who want a structured introduction to working with AI coding tools.
Basic programming knowledge is recommended. You will need a computer, internet access and accounts for the tools used in the demonstrations. Some exercises may require paid features or usage credits.
By the end, you will be able to choose an appropriate AI coding tool, provide clearer instructions and context, and review its output as part of a human-led development process.
Who this course is for:
- Python Developers who want to integrate AI tools into their coding workflow.
- Software Engineers & Programmers looking to enhance productivity with AI-powered coding assistants.
- AI & Machine Learning Enthusiasts who want hands-on experience with AI-driven development tools.
- Students & Beginners interested in learning how AI can improve coding efficiency.
- Freelancers & Tech Professionals seeking to automate repetitive tasks and optimize their workflow.