AI-Augmented Software Development
Discover how Artificial Intelligence is transforming software engineering. This course covers AI-assisted coding, debugging, testing, and automation tools that boost developer productivity. Learn to integrate AI into your workflow, streamline development processes, and build smarter, more efficient applications with cutting-edge technologies.
About Course
Through project-based learning and real-world challenges, you’ll gain practical experience in API development, authentication, database integration, testing, version control, and deployment. Whether you’re a beginner or looking to sharpen your web development skills, this course will take you from zero to job-ready full-stack developer.
What I will learn?
- Understand AI-augmented software development and its applications
- Write code in Python, JavaScript, and Dart for web and mobile apps
- Build front-end and back-end web applications
- Develop mobile applications using AI-assisted no-code and Flutter tools
- Integrate databases and cloud services into apps
- Use AI coding assistants for debugging, code generation, and documentation
- Build and integrate APIs into software projects
- Add AI-powered features like chatbots, sentiment analysis, and OCR
- Deploy web and mobile applications
- Complete a full AI-powered software or mobile application project
Course Curriculum
Introduction to Python Programming
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What is Python?
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Roles and Responsibilities of a Python Developer
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Setting Up Development Environment (Code Editor, Intepreter)
Objects and Data Structures
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Numbers
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Variables
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Strings
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Print Formatting
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Lists
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Dictionaries
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Tuples
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Sets
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Booleans
Comparison Operators
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Comparison Operators
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Chained Comparison Operators
Statements
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Introduction to Python Statements
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if, elif and else statements
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for Loop
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while Loop
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Useful Operators
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List Comprehensions
Methods and Functions
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Methods
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Functions
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Lambda Expressions
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Map and Filter
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Nested Statements
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Scope
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args and kwargs
Milestone Project
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Relational Databases
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SQL Basics (MySQL / PostgreSQL)
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CRUD Operations
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NoSQL Databases
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MongoDB
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CRUD with Mongoose
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Relationships & Population
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Aggregation Pipeline
Object Oriented Programming
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Introduction to Object Oriented Programming
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Objects
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Class
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Class Attributes
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Class Methods
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Inheritance
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Polymorphism
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Special Methods (Dunder Methods)
Modules and Packages
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Module
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Package
Errors and Exception Handling
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Deploying Frontend (Vercel, Netlify)
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Deploying Backend (Render, Railway, Heroku)
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Environment Variables
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CI/CD Concepts
Milestone Project 2
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Consuming REST APIs
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Intro to GraphQL
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WebSockets (Real-Time Apps)
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Third-Party APIs (Payment, Maps, etc.)
MODULE 1: Introduction to AI-Augmented Software Development
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1.1 What Is AI-Augmented Development?
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1.2 Software Development Basics
MODULE 2: Essential Programming Foundations
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2.1 Programming Logic
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2.2 Python for AI & App Development
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2.3 JavaScript for Web & Mobile
MODULE 3: Building Web Applications
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3.1 Front-End Development
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3.2 Back-End Development
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3.3 Full-Stack Application
MODULE 4: Mobile App Development
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4.1 No-Code + AI App Builders
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4.2 AI-Assisted Flutter Development
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4.3 Publishing an App
MODULE 5: Databases & Cloud Integration
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5.1 Introduction to Databases
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5.2 Cloud Computing Basics
MODULE 6: AI Tools for Developers
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6.1 AI Coding Assistants
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6.2 AI for Debugging
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6.3 AI for Documentation
MODULE 7: Software Architecture & Design
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7.1 Fundamentals
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7.2 Using AI to Create Architecture Plans
MODULE 8: API Development & Integration
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8.1 Building APIs
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8.2 AI-Assisted API Building
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8.3 Third-Party Integrations
MODULE 9: Building AI Features into Applications
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9.1 AI Models & Tools
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9.2 Adding AI Features
MODULE 10: Capstone Project
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Idea planning
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UI/UX design (with AI assistance)
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Database setup
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API development
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AI feature integration
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Deployment
Student Ratings & Reviews
No Review Yet
Material Includes
- Video lessons for all modules
- Downloadable PDFs: guides, notes, templates
- Sample code files and project starter kits
- AI prompt libraries for coding, debugging, documentation
- Case studies and practical exercises
- Access to free AI development tools (ChatGPT, GitHub Copilot, Replit Ghostwriter)
- Cloud deployment instructions
- Capstone project guide
Requirements
- Basic computer skills
- Laptop or desktop capable of running development tools
- Stable internet connection
- No prior programming experience required, though helpful
- Free AI accounts (ChatGPT, Replit, GitHub) recommended
- Willingness to practice coding and AI-assisted development
