What You’ll Learn: AI-Powered Development
Stop typing boilerplate and debugging for hours. Learn to work alongside AI assistants that write code, catch bugs before they happen, and help you ship features faster than ever.
GitHub Copilot & AI Assistants
Generate functions, write tests, and refactor code with natural language prompts.
Smart IDE Setup
Configure VS Code, PyCharm, and JetBrains tools with AI extensions that predict your next move.
API Integration Mastery
Connect OpenAI, Anthropic, and custom AI models to your applications with robust error handling.
AI-Powered Debugging
Let AI explain stack traces, suggest fixes, and even write unit tests for edge cases you missed.
Who Is This Course For?
Perfect for developers who want to stay competitive in an AI-first world — whether you’re building side projects or shipping production code at scale.
- Mid-level developers tired of repetitive coding tasks
- Full-stack engineers integrating AI features into apps
- Tech leads evaluating AI tools for team adoption
- Freelancers wanting to deliver projects twice as fast
Hands-On Projects
AI Code Review Bot
Build a Slack bot that uses GPT-4 to review pull requests and suggest improvements in real time.
Smart Documentation Generator
Create a CLI tool that scans your codebase and auto-generates API docs with AI-written explanations.
Capstone
Full-Stack AI Assistant
Ship a production-ready web app with AI-powered features: code generation, debugging help, and context-aware suggestions.
8-Week AI Tools Syllabus
~60 hours total • Lifetime LMS access • 1:1 mentor support
Weeks 1-2: AI Coding Basics
- Introduction to AI-assisted development
- Setting up GitHub Copilot and ChatGPT
- Writing effective prompts for code generation
- Using AI to explain complex code
- Configuring VS Code with AI extensions
- Ethical considerations and code ownership
Weeks 3-4: Advanced AI Tools
- Tabnine, Sourcegraph, and Codeium deep dive
- AI-powered refactoring techniques
- Automated test generation with AI
- Code smell detection and fixes
- Customizing AI models for your codebase
- Security scanning with AI analyzers
Weeks 5-6: APIs & Integration
- Working with OpenAI and Anthropic APIs
- Building SDKs for AI services
- Rate limiting, error handling, and retries
- Streaming responses in real-time apps
- Fine-tuning models with custom data
- Cost optimization for API calls
Weeks 7-8: Production Workflows
- CI/CD pipelines with AI quality checks
- Monitoring AI tool performance
- Team adoption strategies and training
- Building internal AI coding assistants
- Legal and compliance considerations
- Future of AI-assisted development
NSTC‑Accredited Certificate
Share your verified credential on LinkedIn, resumes, and portfolios.
Frequently Asked Questions
Not at all. AI tools amplify your skills — you’ll code faster, debug smarter, and focus on architecture instead of syntax. Think of it as a senior developer pair programming with you 24/7.
No AI background needed. If you can code in any language and understand basic APIs, you’re ready. We’ll teach you how to integrate AI into your existing workflow.
