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AI-Assisted C# Full Stack Development Program

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About Course

About Course

The AI-Assisted C# Full Stack Development Program is a comprehensive, industry-oriented training program designed to prepare students for modern software development careers using the Microsoft technology ecosystem. The program covers C# programming, software engineering practices, database development, backend application development using ASP.NET Core, frontend development using React, and full stack application development.

Students will learn to build enterprise-grade applications using C#, ASP.NET Core, SQL Server, React, REST APIs, and modern development tools while leveraging AI-powered development assistants such as ChatGPT, GitHub Copilot, and Gemini to enhance productivity, code quality, testing, debugging, and documentation.

The program focuses on hands-on implementation, real-world projects, coding standards, and placement readiness to help learners become industry-ready Full Stack Developers.


Who Should Enroll

  • Fresh Graduates

  • Engineering Students

  • Career Switchers

  • Aspiring Full Stack Developers

  • C# Developers

  • Backend Developers

  • Professionals seeking modern web application development skills


First 3 Modules are Building Blocks – Foundation

  • Core Programming Language – C#
  • Frontend Development – HTML, CSS, JavaScript, React
  • Database – SQL Server

Modules 4, 5, 6 make you Professionally Job Ready – Expert Level

  • Backend Development with ASP.NET Core – Modern Enterprise Backend Development
  • Software Engineering & Development Practices – How software is built in real companies
  • Full Stack Application Development – How to build a complete product that users can actually use

Module 1 – C# Programming Fundamentals

Topics Covered

Introduction to Programming & C#

  • Programming Fundamentals

  • Introduction to .NET Ecosystem

  • Visual Studio Installation & Environment Setup

  • .NET Runtime and SDK

  • Variables & Data Types

  • Operators

  • Input & Output Operations

Core C# Programming

  • Strings

  • Arrays

  • Collections Framework

  • List

  • Dictionary

  • HashSet

  • Queue

  • Stack

Control Flow & Problem Solving

  • Conditional Statements

  • Loops

  • Pattern-Based Programming

  • Coding Challenges

  • Logical Problem Solving

Methods & Modular Programming

  • Methods

  • Parameters & Arguments

  • Return Values

  • Method Overloading

  • Namespaces

Object-Oriented Programming

  • Classes & Objects

  • Constructors

  • Encapsulation

  • Inheritance

  • Polymorphism

  • Abstraction

  • Interfaces

Exception Handling

  • Exception Types

  • Try-Catch-Finally

  • Custom Exceptions

  • Best Practices

Advanced C#

  • File Handling

  • Generics

  • Delegates

  • Events

  • LINQ

  • Lambda Expressions

  • Extension Methods

  • Async & Await

AI-Assisted Development Fundamentals

  • Introduction to AI Coding Assistants

  • Prompting for Developers

  • AI-Assisted Code Generation

  • AI-Assisted Debugging

  • AI-Assisted Refactoring

  • AI-Based Code Review


Hands-on

  • Banking Application

  • Student Management System

  • Inventory Management System

  • Employee Management System

  • LINQ Exercises

  • AI-Assisted Coding Assignments


Tools & Technologies Covered

  • C#

  • .NET

  • Visual Studio

  • ChatGPT

  • Gemini


Expected Outcomes

Students will be able to:

  • Develop applications using C#

  • Apply object-oriented programming concepts

  • Solve programming problems efficiently

  • Utilize collections and modern C# features

  • Use AI tools to enhance development productivity


Module 2 – Frontend Development with React

Topics Covered

Web Development Fundamentals

  • HTML5

  • Semantic HTML

  • Forms

CSS3

  • Flexbox

  • CSS Grid

  • Responsive Design

Bootstrap

  • Grid System

  • Components

  • Responsive Layouts

JavaScript Fundamentals

  • Variables

  • Functions

  • Arrays

  • Objects

  • DOM Manipulation

Modern JavaScript

  • ES6 Features

  • Arrow Functions

  • Modules

  • Promises

  • Async/Await

  • Fetch API

React Fundamentals

  • React Architecture

  • Components

  • JSX

  • Props

  • State

  • Event Handling

Advanced React

  • React Hooks

  • useState

  • useEffect

  • Context API

  • Routing

  • API Integration

AI-Assisted Frontend Development

  • UI Generation using AI

  • Component Generation

  • Frontend Debugging

  • AI-Assisted Optimization


Hands-on

  • Portfolio Website

  • Dashboard Application

  • CRUD Application

  • API Integration Project


Tools & Technologies Covered

  • HTML5

  • CSS3

  • Bootstrap

  • JavaScript

  • React

  • Vite


Expected Outcomes

Students will be able to:

  • Build responsive user interfaces

  • Develop React applications

  • Integrate frontend and backend systems

  • Utilize AI tools for frontend development


Module 3 – Database Design & SQL Development

Topics Covered

Database Fundamentals

  • Introduction to Databases

  • Relational Database Concepts

  • Database Design Principles

  • ER Diagrams

  • Normalization

SQL Fundamentals

  • Database Objects

  • Tables

  • Constraints

  • Data Types

  • CRUD Operations

Advanced SQL

  • Joins

  • Aggregations

  • Group By

  • Having Clause

  • Subqueries

  • Views

Database Programming

  • Stored Procedures

  • Functions

  • Triggers

  • Transactions

Performance Optimization

  • Indexes

  • Query Optimization

  • Database Best Practices

AI-Assisted Database Development

  • SQL Query Generation using AI

  • Database Design Assistance

  • Query Optimization using AI

  • SQL Debugging using AI


Hands-on

  • Employee Management Database

  • Banking Database

  • E-Commerce Database Design

  • SQL Query Challenges


Tools & Technologies Covered

  • SQL Server

  • SQL Server Management Studio (SSMS)

  • SQL


Expected Outcomes

Students will be able to:

  • Design relational databases

  • Write complex SQL queries

  • Optimize database performance

  • Integrate database concepts into applications


Module 4 – Software Engineering & Development Practices

Topics Covered

Software Development Fundamentals

  • SDLC Concepts

  • Agile Methodology

  • Scrum Framework

Software Development Best Practices

  • Coding Standards

  • Version Control

Git Fundamentals

  • Git Commands

  • Branching & Merging

  • Pull Requests

  • Repository Management

GitHub Collaboration

  • GitHub Workflows

  • Code Reviews

  • Issue Tracking

  • Team Collaboration

Testing Fundamentals

  • Testing Concepts

  • Unit Testing

  • Integration Testing

  • Test Planning

NUnit Framework

  • NUnit Fundamentals

  • Assertions

  • Test Suites

  • Mocking Basics

CI/CD Fundamentals

  • Continuous Integration

  • Continuous Deployment

  • GitHub Actions

  • Build Pipelines

AI-Assisted Software Engineering

  • AI-Powered Documentation

  • AI Test Case Generation

  • AI Code Reviews

  • AI Bug Analysis


Hands-on

  • GitHub Collaboration Exercises

  • NUnit Assignments

  • Code Review Activities

  • CI/CD Pipeline Setup


Tools & Technologies Covered

  • Git

  • GitHub

  • NUnit

  • GitHub Actions

  • ChatGPT

  • GitHub Copilot


Expected Outcomes

Students will be able to:

  • Follow professional software development practices

  • Manage source code using Git and GitHub

  • Create automated tests

  • Implement CI/CD workflows

  • Utilize AI throughout the development lifecycle


Module 5 – Backend Development with ASP.NET Core

Topics Covered

ASP.NET Core Fundamentals

  • ASP.NET Core Introduction

  • ASP.NET Core Architecture

  • Project Structure

  • Configuration Management

  • Application Settings

REST API Development

  • REST Architecture

  • Controllers

  • Routing

  • Request Handling

  • Response Handling

  • Validation

Entity Framework Core

  • ORM Concepts

  • Entity Mapping

  • Repository Pattern

  • CRUD Operations

  • Relationships

  • Migrations

Security & Authentication

  • Authentication

  • Authorization

  • JWT Authentication

  • Role-Based Access Control

Exception Handling & Logging

  • Global Exception Handling

  • Logging Fundamentals

  • Monitoring Concepts

AI-Assisted Backend Development

  • API Design using AI

  • Documentation Generation

  • Debugging Support

  • Backend Code Optimization


Hands-on

  • User Management API

  • Product Management API

  • Authentication System

  • Inventory Management Backend

  • ASP.NET Core CRUD Application


Tools & Technologies Covered

  • ASP.NET Core

  • Entity Framework Core

  • JWT

  • Swagger

  • NuGet


Expected Outcomes

Students will be able to:

  • Build enterprise-grade REST APIs

  • Implement authentication and authorization

  • Develop backend applications using ASP.NET Core

  • Integrate databases using Entity Framework Core

  • Apply security best practices


Module 6 – Full Stack Application Development

Topics Covered

Full Stack Architecture

  • Client-Server Architecture

  • Application Layering

  • Project Structuring

  • Design Principles

Frontend & Backend Integration

  • React + ASP.NET Core Integration

  • API Consumption

  • Data Validation

  • Error Handling

Security Implementation

  • Authentication Flow

  • Authorization Flow

  • JWT Integration

  • Session Management

Production Readiness

  • Environment Configuration

  • Logging Concepts

  • Performance Optimization

  • Deployment Fundamentals

AI Feature Integration

  • OpenAI API Fundamentals

  • Gemini API Fundamentals

  • AI-Assisted Business Features

  • Building AI-Enabled Applications

AI Solutions Development

  • AI Resume Analyzer

  • AI FAQ Assistant

  • AI Content Generator

  • AI Customer Support Portal


Capstone Projects

Students will develop industry-oriented projects such as:

Enterprise Applications

  • Employee Management System

  • Learning Management System

  • CRM Application

  • Inventory Management System

Advanced Applications

  • E-Commerce Platform

  • Hospital Management System

  • Banking Management System

AI-Enabled Applications

  • AI Resume Screening System

  • AI Interview Preparation Assistant

  • AI Customer Support Portal

  • AI Knowledge Base Assistant


Tools & Technologies Covered

  • React

  • ASP.NET Core

  • SQL Server

  • JWT

  • OpenAI API

  • Gemini API


Expected Outcomes

Students will be able to:

  • Build complete full stack applications

  • Integrate frontend and backend systems

  • Implement secure authentication mechanisms

  • Integrate AI-powered capabilities into applications

  • Develop industry-ready portfolio projects


Tools & Technologies Covered Across the Program

  • C#

  • .NET

  • Visual Studio

  • Git

  • GitHub

  • NUnit

  • SQL Server

  • SSMS

  • Entity Framework Core

  • ASP.NET Core

  • JWT

  • Swagger

  • NuGet

  • HTML5

  • CSS3

  • Bootstrap

  • JavaScript

  • React

  • Vite

  • ChatGPT

  • GitHub Copilot

  • Gemini

  • OpenAI API


Career Opportunities

Upon successful completion of the program, learners can pursue roles such as:

  • C# Full Stack Developer

  • .NET Full Stack Developer

  • ASP.NET Core Developer

  • Backend Developer

  • React Developer

  • Web Application Developer

  • Software Engineer

  • API Developer

  • AI-Assisted Application Developer

  • Junior Software Developer


Expected Outcomes of the Program

By the end of this program, learners will be able to:

  • Develop robust applications using C#

  • Apply object-oriented programming principles effectively

  • Design and manage relational databases

  • Build enterprise-grade REST APIs using ASP.NET Core

  • Implement authentication and authorization mechanisms

  • Develop modern frontend applications using React

  • Apply software engineering best practices

  • Utilize AI tools throughout the software development lifecycle

  • Build complete full stack applications

  • Integrate AI-powered features into business applications

  • Create a professional portfolio of projects

  • Prepare confidently for software development careers and placement opportunities.

Course Content