About DotNet Full Stack With AI

DotNet Full Stack with AI combines the robust capabilities of the .NET framework with the intelligence of Artificial Intelligence. This course covers essential .NET technologies like C#, ASP.NET, Entity Framework, and SQL Server for backend development, along with HTML, CSS, JavaScript, and Angular or React for the frontend. It integrates AI tools to build smart, efficient, and scalable web applications. Ideal for enterprise-level software, mobile apps, and intelligent systems, the course is delivered by industry experts with hands-on project experience. Learners will gain practical experience in building full stack applications enriched with AI features like chatbots, recommendation engines, and automation using tools like Azure AI, ML.NET, and OpenAI APIs.

DotNet Full Stack With AI Course Objectives

You will be expertise and eligible for:

  • Gain strong knowledge of C#, ASP.NET Core, and Object-Oriented Programming.
  • Build intelligent applications for web, mobile, and enterprise platforms using the .NET ecosystem.
  • Master advanced .NET concepts like Dependency Injection, Entity Framework, and Web API development.
  • Learn to integrate AI libraries and tools such as ML.NET, Azure Cognitive Services, and OpenAI APIs with .NET.
  • Understand how to connect .NET applications with databases like SQL Server using Entity Framework.
  • Develop AI-driven features like chatbots, recommendation engines, and intelligent automation in full stack applications.

Pre-Requisites

The course can be learned by any IT professional having basic knowledge of:

  • Computer knowledge
  • C, C++, or any programming basics (Not mandatory)

Duration of the Course

  • "L" understands the problems like security reasons, time availability and distance in attending classes of different people including students, professionals, and the people living in other countries.
  • Duration of 45 sessions.
  • 1 hour per day.
  • Provides soft copy of every class after its completion.
  • Provides class recording sessions.