Build Production-Ready Apps with Cursor AI, Git, Testing, CI/CD with GitHub Actions & Learn Best Practices
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 production-ready applications using tools like Cursor AI with professional workflows.
- Write user-centric specifications and break work into AI-optimized tasks.
- Effective Git version control for safe AI code generation and rollback strategies.
- Implement automated testing to validate AI-generated code quality.
- Set up CI/CD pipelines with GitHub Actions for automatic testing & deployment.
- Apply code review practices to evaluate and debug AI-generated code.
- Deploy applications to production with security and proper configuration.
Course Content
- Introduction –> 7 lectures • 27min.
- Building Your First AI-Assisted Project – Planning –> 6 lectures • 26min.
- CI/CD Integration and Team Workflows –> 5 lectures • 15min.
- Controlling AI Behavior –> 5 lectures • 12min.
- Deployment –> 3 lectures • 10min.
- Wrap-Up and Beyond –> 1 lecture • 2min.
Requirements
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.