App Coding with AI
Leo Rodriguez
Certificate Included
Advanced
200+ students
Summary:
Accelerate your development cycle and overcome coding hurdles by integrating AI assistants like GitHub Copilot into your workflow. This course is for developers and tech-savvy product managers who want to maximize coding efficiency. Learn to use AI for generating boilerplate code, debugging complex errors, refactoring legacy code, and translating between programming languages. Transform your developer experience, reduce time spent on repetitive tasks, and dedicate more resources to creative problem-solving and application architecture.
What you'll learn:
Successfully integrate and customize an AI code assistant (e.g., GitHub Copilot) within your development environment.
Use simple prompts to generate complete boilerplate code, class structures, and function prototypes.
Leverage AI to diagnose complex errors instantly and suggest efficient fixes for debugging.
Apply AI to analyze and refactor legacy code, improving efficiency and overall code quality.
Use AI for code translation, easily porting code between different programming languages or frameworks.
Automate the creation of robust unit tests and comprehensive developer documentation.
General Info
Date Released
Jul 5, 2025
Total Lessons
6
Total Duration
1 hr 45 mins
Students Enrolled
200+
Course files
Test automation prompts
Code review prompts
Debugging workflow sheet
Lesson 1: Integrating Your AI Code Assistant
15 mins
Set up and customize your AI coding tool (e.g., Copilot) within your IDE for optimal performance and security.
Lesson 2: Generating Boilerplate and Function Prototypes
20 mins
Use simple prompts to generate complete function blocks, class structures, and documentation templates.
Lesson 3: AI-Assisted Debugging and Error Resolution
25 mins
Strategies for pasting error logs and code snippets to AI for immediate diagnosis and suggested fixes.
Lesson 4: Code Refactoring and Optimization
30 mins
Use AI to analyze existing code, identify inefficiencies, and suggest cleaner, faster, and more scalable refactors.
Lesson 5: Translating Code and Language Migration
20 mins
Techniques for using AI to port code between different languages (e.g., Python to JavaScript) or frameworks.
Lesson 6: Writing AI-Powered Tests and Documentation
15 mins
Automate the creation of unit tests and comprehensive developer documentation from your existing code.
Leo is a seasoned Software Architect and Full-Stack Developer who has spent his career building large-scale applications for the financial sector. With a Master's in Computer Science and multiple professional certifications, he has become an authority on AI-assisted coding and development workflow optimization. Leo actively uses AI assistants for generating robust unit tests, real-time debugging, and code migration. He teaches developers how to leverage AI to drastically accelerate their development cycles while improving code quality.
