AI Coding & Agentic Development: Copilot, Cursor, Claude

About this course

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

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