
Install NodeJS, git, and Cursor on Windows, macOS, or Linux to run AI-powered coding in a VSCode-like editor; sign up for a free one-week pro trial.
Explore how AI coding assistants work through the roles of the large language model, the agent, and the tools, including retrieval augmented generation and context window management.
Automate code quality with CI/CD, building, testing, and deploying automatically via GitHub Actions, and set up the first pipeline with automated tests.
Set up a GitHub actions pipeline that runs on every push, installs dependencies, lints code, type-checks TypeScript, and builds the project automatically, providing a hands-off, automated workflow foundation.
Choose the right model for your task to maximize output quality and replicability, using strong reasoning models for planning and cheaper models for basics, and compare options via benchmarks.
Learn to perform a manual Netlify deployment and prepare automated GitHub actions by configuring Netlify site ID, authentication token, and repository secrets.
Close this course with thanks and clear next steps: mark every lecture complete to unlock your certificate, use the help page, and connect or leave a review on LinkedIn.
Learn to build production-ready applications using AI assistance with professional software development practices. This course goes beyond quick code generation—you'll master the complete workflow from specification to deployment.
What You'll Learn
Build Real Applications:
Create a complete project from scratch using Cursor and AI assistance
Write clear specifications and break work into manageable tasks
Build features iteratively with AI while maintaining code quality
Professional Development Practices:
Master Git version control for safe AI-assisted development
Implement automated testing to validate AI-generated code
Set up CI/CD pipelines for automatic testing and deployment
Review and debug code effectively using "trust but verify" principles
Work Like a Professional:
Use GitHub for collaboration and pull request workflows
Handle security considerations specific to AI-generated code
Deploy applications to production with confidence
Understand the Difference:
Distinguish between "vibe coding" and professional AI-powered development
Know when to use AI and when to write code yourself
Make informed decisions about AI tools and workflows
What You'll Build
A complete, deployed web application built with AI assistance, including:
User-centric product requirements
Clean, tested, production-ready code
Automated CI/CD pipeline
Professional documentation
Legal Disclaimer
This course is an independent educational resource and is not endorsed by, affiliated with, or associated with Cursor, Anysphere Inc., or any of its products. Cursor is a trademark of Anysphere Inc. All product names, logos, and brands mentioned in this course are the property of their respective owners.
This course contains promotional materials.