This course is designed to help developers, software engineers, and AI enthusiasts master the latest generation of AI-powered coding assistants, including Claude Code, Codex, and other cutting-edge developer tools. Through practical projects and real-world workflows, you’ll learn how to integrate AI into your daily development process to improve productivity, code quality, and problem-solving skills.
Whether you’re building web applications, automating development tasks, or exploring AI-assisted programming, this course provides the practical experience needed to become an AI-augmented developer.
Key Learnings:
- Understand the evolution of AI coding assistants and autonomous coding agents.
- Set up and configure Claude Code and other AI development environments.
- Write effective prompts for code generation and debugging.
- Generate clean, maintainable, and production-ready code using AI Use AI for code reviews, refactoring, optimization, and documentation.
- Automate repetitive programming tasks with AI agents.
- Build complete applications with AI-assisted development workflows.
- Integrate AI into Git, GitHub, CI/CD, and modern development pipelines
- Compare Claude Code, Codex, Gemini, Cursor, Windsurf, GitHub Copilot, and other AI coding platforms.
- Apply AI responsibly while maintaining code quality, security, and best practices
- Develop real-world projects using AI-first software engineering workflows
Course Content:
Module 1: Foundations of AI-Assisted Development
Introduction to AI Coding
- Evolution of AI in Software Development
- Understanding AI Coding Agents
- AI-Assisted vs Traditional Programming
- How LLMs Generate Code
- Choosing the Right AI Coding Tool
Development Environment Setup
- Installing Visual Studio Code
- Configuring Git & GitHub
- Setting Up Claude Code
- Setting Up OpenAI Codex
- Introduction to Cursor & Windsurf
- API Keys and Secure Configuration
Programming Workflow Essentials
- Project Structure
- Version Control Basics
- AI-Friendly Development Practices
- Using Terminal Effectively
Module 2: Prompt Engineering for Developers
Prompt Design Fundamentals
- Anatomy of Great Coding Prompts
- Zero-shot vs Few-shot Prompting
- Chain-of-Thought Techniques
- Context Management
- Prompt Templates
AI for Everyday Coding
- Generate Functions
- Create Classes
- Build APIs
- SQL Query Generation
- HTML & CSS Generation
- JavaScript Automation
- Python Scripting
Practical Lab
- Build a Utility Application Using AI
Module 3: AI-Powered Software Development
Building Applications Faster
- Rapid Prototyping
- Frontend Development with AI
- Backend Development
- REST API Creation
- Database Integration
- Authentication Systems
- CRUD Applications
Best Practices
- Writing Clean Code
- Code Organization
- Modular Architecture
- Error Handling
Mini Project
- AI-Assisted Task Management Application
Module 4: Debugging, Testing & Refactoring
AI Debugging Techniques
- Finding Bugs Faster
- Stack Trace Analysis
- Performance Optimization
- Memory Issues
- Security Vulnerabilities
Testing
- Unit Test Generation
- Integration Testing
- API Testing
- Test Automation
Code Quality
- Refactoring Legacy Code
- Documentation Generation
- Code Reviews Using AI
Mini Project
- Refactor an Existing Open-Source Project
Module 5: AI Agents & Workflow Automation
Understanding AI Agents
- Agentic Development Concepts
- Multi-Step Task Execution
- AI Planning Strategies
- Autonomous Coding Workflows
Developer Automation
- Git Automation
- Pull Request Assistance
- Documentation Automation
- Issue Tracking
- Release Notes Generation
MCP & Tool Integration
- Introduction to Model Context Protocol (MCP)
- Connecting External Tools
- AI Tool Orchestration
Mini Project
- AI Development Workflow Assistant
Module 6: Advanced AI Developer Tools
Modern AI IDEs
- Claude Code Workflows
- OpenAI Codex Features
- Cursor AI
- GitHub Copilot
- Windsurf
- Gemini Code Assist
Comparing AI Platforms
- Accuracy
- Context Window
- Performance
- Cost
- Enterprise Features
Team Collaboration
- AI Pair Programming
- Code Reviews
- Team Productivity
- Best Practices
Mini Project
- Multi-Agent Coding Environment
Module 7: Production-Ready AI Engineering
Building Professional Applications
- Software Architecture
- Microservices Overview
- CI/CD Pipelines
- Docker Basics
- Deployment Strategies
Responsible AI Development
- AI Limitations
- Security Considerations
- Privacy & Compliance
- Human Oversight
- Ethical AI Practices
Portfolio Preparation
- GitHub Optimization
- Project Documentation
- Technical Presentations
Module 8: Capstone Project
Final Project: AI Software Engineering Assistant
Design and build an end-to-end AI-powered developer assistant that demonstrates the skills learned throughout the course.
Project Requirements
The application should include:
- User Authentication
- AI Chat Interface for Developers
- Code Generation Module
- Code Explanation Feature
- Bug Detection & Debugging Assistant
- Code Refactoring Suggestions
- Unit Test Generator
- API Documentation Generator
- GitHub Repository Integration
- Project File Analyzer
- Markdown Documentation Creator
- Conversation History
- Export Code & Reports
- Responsive User Interface
This course is ideal for:
- AI & Machine Learning Enthusiasts
- Beginner to Intermediate Programmers
- Computer Science & Software Engineering Students
- Frontend Developers
- Backend Developers
- Full Stack Developers
- Python, JavaScript, Java, C#, or Go, Developers
- Software Engineers
Career Opportunities
After completing this course, learners can pursue roles such as:
- AI Software Developer
- AI-Augmented Full Stack Developer
- AI Application Developer
- Prompt Engineer (Development)
- Software Engineer
- Backend Developer
- Frontend Developer
- Full Stack Engineer
- DevOps Engineer
International Student Fees: USD 300$
Job Interview Preparation (Soft Skills Questions & Answers)
- Tough Open-Ended Job Interview Questions
- What to Wear for Best Job Interview Attire
- Job Interview Question- What are You Passionate About?
- How to Prepare for a Job Promotion Interview
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Flexible Class Options
- Weekend Classes For Professionals SAT | SUN
- Corporate Group Trainings Available
- Online Classes – Live Virtual Class (L.V.C), Online Training
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