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.
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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

  • What is Python?
  • Roles and Responsibilities of a Python Developer
  • Setting Up Development Environment (Code Editor, Intepreter)

Objects and Data Structures

Comparison Operators

Statements

Methods and Functions

Milestone Project

Object Oriented Programming

Modules and Packages

Errors and Exception Handling

Milestone Project 2

MODULE 1: Introduction to AI-Augmented Software Development

MODULE 2: Essential Programming Foundations

MODULE 3: Building Web Applications

MODULE 4: Mobile App Development

MODULE 5: Databases & Cloud Integration

MODULE 6: AI Tools for Developers

MODULE 7: Software Architecture & Design

MODULE 8: API Development & Integration

MODULE 9: Building AI Features into Applications

MODULE 10: Capstone Project

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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

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