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Azure AI Foundry Workshop — Hands-On Enterprise AI Development

An intensive 2-day workshop where developers and architects build production-grade AI solutions using Azure OpenAI, AI Search, Document Intelligence, and the Azure AI Foundry platform. All code, all hands-on, all real.

2 Days Intensive
Live / Virtual
60% Hands-On Labs
MCT-Led

Workshop Overview

Azure AI Foundry (formerly Azure AI Studio) is Microsoft's unified platform for building enterprise AI solutions. This workshop gives your technical team the hands-on experience they need to go from zero to production-ready AI applications in two intensive days.

Unlike passive training where participants watch demonstrations, this workshop is built around building. Every module includes guided labs where participants write real code, configure real Azure resources, and solve real architectural challenges. By the end of day two, every participant will have built a complete enterprise RAG solution with document processing, vector search, and grounded chat — ready to adapt for their own use cases.

Technologies Covered

Azure OpenAI Service

GPT-4o, GPT-4, embeddings, DALL-E

Azure AI Search

Vector search, semantic ranking, skillsets

Azure AI Document Intelligence

Document extraction and custom models

Azure AI Foundry

Project management and prompt flow orchestration

Azure AI Content Safety

Content moderation and filtering

Azure Container Apps

Serverless deployment for AI applications

Who This Workshop Is For

Software Developers

Developers who want to add AI capabilities to their applications. You will learn to integrate Azure OpenAI APIs, build RAG pipelines, and implement document processing in your existing tech stack using Python or C#.

Solution Architects

Architects designing AI solutions for enterprise clients. Gain hands-on experience with production architecture patterns, security configurations, and scaling strategies to make informed design decisions.

AI/ML Engineers

AI engineers expanding from open-source models to Azure's managed AI platform. Learn the Azure-specific patterns for deploying, monitoring, and optimizing AI solutions at enterprise scale.

Technical Leads

Technical leads evaluating Azure AI for their organizations. Get the hands-on understanding needed to make technology decisions, estimate effort, and guide your teams through AI implementation projects.

Workshop Curriculum

Eight modules across two days, progressing from platform fundamentals to production-ready enterprise AI architectures.

Day 1 — Foundations and Core Services

01

Azure AI Foundry Platform Overview

Navigate the Azure AI Foundry portal (formerly Azure AI Studio), understand the project and hub architecture, and configure your development environment. Set up connections to Azure OpenAI, AI Search, and storage accounts.

02

Azure OpenAI Service — Models and Deployments

Deploy and configure GPT-4o, GPT-4, and embedding models. Understand model selection, token management, rate limiting, and content filtering. Build your first chat completion application with the Azure OpenAI SDK.

03

Prompt Engineering and Orchestration

Master prompt engineering techniques including system messages, few-shot learning, chain-of-thought reasoning, and structured outputs. Build prompt flows for complex multi-step orchestration scenarios.

04

Azure AI Search — Building the Knowledge Layer

Create search indexes, configure skillsets for AI enrichment, implement vector search with embeddings, and build hybrid search solutions. This module forms the foundation for RAG implementations.

Day 2 — Advanced Patterns and Production

05

Retrieval Augmented Generation (RAG) Patterns

Build end-to-end RAG solutions combining Azure OpenAI with AI Search. Implement chunking strategies, embedding pipelines, semantic ranking, and grounded generation with source citations.

06

Azure AI Document Intelligence

Extract structured data from documents, invoices, receipts, and custom forms. Build document processing pipelines that feed into your AI solutions. Train custom extraction models for domain-specific documents.

07

Security, Networking, and Responsible AI

Implement managed identities, private endpoints, and virtual network integration. Configure content safety filters, implement responsible AI monitoring, and build guardrails into production AI systems.

08

Production Architecture and Deployment

Design production-ready architectures with high availability, disaster recovery, and cost optimization. Deploy solutions using Azure Container Apps, API Management, and CI/CD pipelines. Implement evaluation and monitoring.

Frequently Asked Questions

Who is this Azure AI Foundry workshop designed for?

This workshop is designed for software developers, solution architects, and technical leads who want to build enterprise AI solutions on Azure. Participants should have basic Azure experience and programming proficiency in Python or C#. Experience with REST APIs is expected.

What is the workshop format and duration?

The workshop is an intensive 2-day hands-on program delivered either on-site or virtually via Microsoft Teams. Each day runs approximately 8 hours with a mix of instructor demonstrations, guided labs, and independent exercises. The ratio is roughly 40% instruction and 60% hands-on work.

Do participants need their own Azure subscriptions?

For corporate training, we recommend the organization provide Azure subscriptions with pre-configured permissions. For public sessions, we provide lab environments. Participants should have a laptop with VS Code, Python 3.10+, and the Azure CLI installed.

How does this workshop differ from Microsoft Learn modules?

While Microsoft Learn provides excellent foundational content, this workshop focuses on production-grade patterns and real-world architecture decisions. You will build a complete enterprise RAG solution end-to-end, learn from an MCT who has implemented these solutions in production, and get personalized guidance on your specific use cases.

Does this workshop help with AI-102 certification preparation?

Yes. The workshop covers many AI-102 exam objectives, particularly around Azure OpenAI Service, AI Search, and Document Intelligence. Combined with our AI-102 study guide, this hands-on experience provides excellent exam preparation. See our AI-102 guide for a complete study plan.

Ready to Build Enterprise AI on Azure?

Book an Azure AI Foundry workshop for your development team. Two intensive days of hands-on learning that accelerates your team's ability to deliver production AI solutions.

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