DotNet Development with AI

Why Learn Dot Net?

Microsoft Dot Net is one of the most sophisticated and reliable software development technologies that allows to develop several highly productive applications such as SAAS based Employee benefits solutions and Enterprise Resource Planning (ERP) via the window applications, window services, web applications, web services, business intelligence (via MS SQL Server) and SQL services. It has a unique neutral language infrastructure for the development and deployment of applications by supporting various programming languages. The cross-platform compatibility of the Dot Net solutions dissolved all the operating issues of older and new applications.

Course Structure

• book_2 Basic Programming Recap & Aptitude

  This module is designed to help students refresh their fundamental knowledge of C programming and assess their readiness for advanced programming concepts.

• book_2 Module 1: Introduction to DotNet Framework

  topicOverview of DotNet in Web Development

  • ASP.NET work, CLR, CLS, CTS, ADO.NET, LINQ

  
  
• book_2 Module 2: Database Insights

  • • Database Schema, Table creation.
  • • Create, Alter, Insert, Update, Delete, Select query, Joining Query.
  • • Stored Procedure, View, Concept of NOSQL.

• book_2 Module 3: OOPs Concept with Console Application

  • • Class, Object, Properties, Constructor, Inheritance, Interface, Method Overloading, Method Overriding, List, Loop, Switch Case.

• book_2 Module 4: Coding with ASP.Net

  topicASP.NET CORE

  • Asp.net CORE overview and advantages, Web application folder structure, Middleware Pipeline, InProcess Hosting, OutProcess Hosting, Kestrel Server, Package Reference for asp.net core web app.

  
  

  topicASP.NET MVC 5

  • • Concept of MVC Framework, Working with controller, sending values from controller to view.

• book_2 Module 5: Database Connectivity with ADO.NET (MVC)

  • • Concept of ADO.NET, Working with SqlConnection, SqlDataAdapter, SqlCommand Class, DataSet and DataTable, Basic CRUD operation with ADO.NET.

• book_2 Module 6: Database Connectivity with LINQ using Entity Framework (MVC)

  • Model First approach or Database First approach CRUD Operation, CODE First approach CRUD Operation, Dynamic dropdown from database, File upload, Registration, Login with session.

• book_2 Module 7: Web API, & Front-End frameworks Integrations
  • • JSON Format, HTTP Services (GET, PUT, POST, DELETE), Concept of POSTMAN operation & Swagger operation.
  • • Integration of Web API with Front-End Frameworks.
• psychology Module 8: Generative & Agentic AI in Development AI Module

  topic AI Foundations – How AI, Gen AI & Agentic AI Work

  • Traditional programming vs probabilistic AI.
  • What Generative AI is (in simple developer terms).
  • How LLMs work: Tokens, next-word prediction, and high-level Transformer concepts.
  • Agentic AI basics: Goal-Plan-Act-Observe loop using OPENAI TOOLS.

  topic AI-Augmented Development Workflow

  • AI pair programming: Using tools like GitHub Copilot, Tabnine, and Cursor.
  • Prompt engineering for developers: Zero-shot vs. Few-shot prompts.
  • Structuring prompts for clean code, logic, and architecture.
  • Chain-of-thought prompting for debugging complex logic and step-by-step problem solving.
  • AI-driven refactoring: Code conversion between languages and modernizing legacy code.

  topic Building AI-Enabled Application Features

  • API keys and simple REST call flows using OPENAI tools
  • Integrating "Smart Features": AI Chatbots, Auto-summary, Smart Search, and AI Form Assistants.
  • Prompt + Context management for dynamic application data.
  • AI Ethics & Safety: Output verification, guardrails, and fallback logic.
  • Build small-scale automation solutions using Agentic AI with ASP.NET Core, JavaScript, and OpenAI tools.

AI-Enhanced Project Development & Deployment

Building upon their acquired DotNet expertise, students will engage in developing sophisticated, industry-relevant projects. This phase integrates AI tools to streamline development, focusing on:

• AI-Assisted Code Generation: Utilizing AI to accelerate the initial coding process.
• Intelligent Debugging & Optimization: Employing AI for identifying and resolving code inefficiencies.
• Automated Testing: Implementing AI-driven testing to ensure robust and reliable applications.

Students will follow a comprehensive Software Development Life Cycle (SDLC), gaining practical experience in each stage. Furthermore, they will be guided through the process of deploying their AI-enhanced projects on free hosting platforms, providing invaluable insight into live application deployment and the integration of AI in real-world scenarios.

Certification as Trainee Software Engineer

On successful completion of the course, students get certified as Trainee Dot Net Developer, jointly by Ejobindia and the development firm Sysalgo Technologies.