Course – AI · Microsoft .NET & Azure
Forward Deployed Engineer (FDE) — .NET & Azure AI Application Development
20 Hrs Intermediate Classroom / Live Virtual
Duration
20 Hrs
Level
Intermediate
Audience
Microsoft PMs & Engineers
Domain
.NET · Azure AI
Training Methodology
Learning by Doing
Every session in this program is built around hands-on execution, not passive slides — you leave having built something, not just watched a demo.
01
Explore
Hands-on labs from Day 1 — real or sandboxed environments, not slide decks.
02
Experiment
Work against scenarios that mirror your actual stack.
03
Engage
Solve real business problems in every session, not toy examples.
04
Apply
Capstone exercises tied to your team’s actual workflows.
Who This Is For
What You’ll Be Able to Do
- Build ASP.NET Core web applications using MVC architecture and Entity Framework Core
- Host and scale .NET applications on Azure App Service with proper environment configuration
- Build secure RESTful APIs protected with Azure AD (Entra ID) and Key Vault-managed secrets
- Integrate Azure OpenAI and ML.NET to build AI-powered features like sentiment analysis and recommendations
Prerequisites
- No prior .NET experience required — Module 1 covers OOP foundations from scratch
- Basic familiarity with cloud computing concepts is helpful but not required
Curriculum
Module 1
Foundations of Object-Oriented Programming in C#
- Introduction to OOP, Classes and Objects
- Inheritance, Polymorphism, Encapsulation, Abstraction
- LINQ Basics & Operations
- Mini Projects: simple OOP examples
Module 2
Web Development with .NET
- ASP.NET Core Basics
- MVC Architecture: Controllers, Views, Routing
- CRUD Operations with Entity Framework Core
- Building a simple web application (Blog/E-commerce demo)
Module 3
Hosting .NET Web Apps on Azure
- Azure App Service Overview
- App Service Plans & Scaling (Vertical vs Horizontal)
- Environment Configuration (App Settings, Connection Strings)
- Deployment Slots (Dev / Test / Prod)
Module 4
Azure Web APIs & Backend Services
- Cloud-native configuration & secrets — Azure Key Vault & Managed Identity
- Building RESTful APIs with ASP.NET Core Web API
- API versioning & best practices, Azure API Management (APIM) basics
- Securing APIs using Azure AD (Entra ID)
Module 5
Azure Databases for Web Applications
- Azure SQL Database
- Entity Framework Core with Azure SQL
- Connection resiliency & retries
Module 6
Advanced Topics in AI with .NET
- Introduction to Microsoft Foundry
- Deep dive into ML.NET — hosting models in ASP.NET Core, advanced model creation & evaluation
- Data preprocessing, feature engineering & visualization
- Understanding LLM and SLM with the Foundry model catalogue
- Building AI-powered applications (sentiment analysis, recommendations); calling Azure OpenAI from .NET
Module 7
Practical Hands-On Projects
- End-to-end OOP project (C#)
- CRUD web application with ASP.NET Core & EF Core
- Hosting & scaling on Azure App Service
- Secure API with Azure AD & Key Vault
- AI-powered web app (sentiment analysis or recommendation engine)
Delivery Details
- Delivered as classroom or live virtual instructor-led — scheduled around your team
- Hands-on mini-projects in every module, culminating in an end-to-end AI-powered web app
- Real-world scenarios inspired by day-to-day Microsoft PM/Engineer work