Trainings/ FDE — Azure AI Architecture & Enterprise Implementation

Course – AI · Enterprise Architecture

Forward Deployed Engineer (FDE) — Azure AI Architecture & Enterprise Implementation

28 Hrs (7 Days) Intermediate Classroom / Live Virtual

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Duration

28 Hrs · 7 Days

Level

Intermediate

Audience

Microsoft PMs & Engineers

Domain

AI · Azure Architecture

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.

Explore

Hands-on labs from Day 1 — real or sandboxed environments, not slide decks.

Experiment

Work against scenarios that mirror your actual stack.

Engage

Solve real business problems in every session, not toy examples.

Apply

Capstone exercises tied to your team’s actual workflows.

Who This Is For

Microsoft Product Managers Microsoft Engineers (FDE Track) Teams Doing Customer-Facing AI Solution Architecture

What You’ll Be Able to Do

Build production-ready AI solutions using the .NET ecosystem and Azure AI services
Run customer discovery, AI opportunity assessment, and solution scoping as a Forward Deployed Engineer
Design and implement Azure OpenAI, RAG, and enterprise prompt engineering solutions
Build multi-agent systems using Microsoft Agent Framework, Semantic Kernel, and AutoGen
Deploy production-ready Copilot Stack and AI Foundry solutions with proper security, monitoring, and cost management

Prerequisites

Basic programming familiarity recommended — C#/.NET fundamentals are covered in Days 1–2
Understanding of core cloud computing concepts is helpful

Curriculum

Day 1

C# OOP, ASP.NET Core & Web Development Fundamentals

Session 1: OOP principles, classes & objects, the four pillars of OOP, interfaces & design patterns
Session 2: LINQ fundamentals; building OOP projects (Library Management System, E-Commerce Product Catalog)
Session 3: ASP.NET Core fundamentals, MVC architecture, controllers/views/routing, EF Core CRUD operations

Day 2

Azure Hosting, Web APIs, Security & AI Integration

Session 1: Azure App Service fundamentals, scaling, environment configuration, deployment slots
Session 2: RESTful APIs, API versioning, APIM basics, Key Vault & Managed Identity, securing APIs with Entra ID
Session 3: Azure SQL & Cosmos DB, ML.NET model creation/hosting, building AI-powered applications

Day 3

Forward Deployed Engineer Fundamentals & Customer Discovery

Session 1: Understanding the FDE role — mindset, core competencies, engagement models
Session 2: Customer discovery & problem framing — AI opportunity assessment, discovery frameworks
Session 3: Solution scoping & architecture patterns — reference architectures, MVP scoping, feasibility assessment

Day 4

FDE Engagement Models & Azure AI Ecosystem Overview

Session 1: FDE engagement lifecycle — pre-sales, POC execution, POC-to-production, stakeholder management
Session 2: Azure AI ecosystem overview — Azure OpenAI, AI Foundry, Agent Framework, Copilot Stack, Cognitive Services
Session 3: Solution design principles — responsible AI, data architecture, integration patterns, monitoring & governance

Day 5

Azure OpenAI Service — Implementation & Best Practices

Session 1: Azure OpenAI deep dive — model selection, deployment models, API patterns, advanced features
Session 2: Prompt engineering for enterprise solutions — fundamentals, advanced techniques, domain optimization, testing
Session 3: Retrieval Augmented Generation (RAG) architectures — fundamentals, implementation, optimization, scale

Day 6

Azure AI Foundry & Microsoft Agent Framework

Session 1: Azure AI Foundry platform — architecture, prompt flow, model evaluation, integration patterns
Session 2: Microsoft Agent Framework & multi-agent systems — Semantic Kernel, AutoGen, agent design patterns
Session 3: Building production-ready agent solutions — architecture best practices, tool integration, monitoring

Day 7

Microsoft Copilot Stack & Production Deployment

Session 1: Microsoft Copilot Stack — Copilot Studio, M365 Copilot extensibility, use cases & patterns
Session 2: Deployment & production readiness — architecture patterns, security & compliance, cost management
Session 3: FDE success strategies — production support, measuring success, knowledge transfer & CoE models

Delivery Details

4 hrs/day over 7 days — delivered as classroom or live virtual instructor-led
Combines deep technical build (.NET + Azure AI) with FDE-specific pre-sales and customer-facing skills
Labs and sample projects throughout; culminates in production-deployment-ready patterns

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