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Express: Microsoft Azure AI Developer Course

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Fee:  $995

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Express: Microsoft Azure AI Developer Course

 

Special Note to New Hampshire Residents
This course has not yet been approved by the New Hampshire Department of Education. Please contact us for an update on when the class will be available in New Hampshire.

Overview

Design and build modern generative AI apps and Azure AI agents using Microsoft Foundry. Developers practice model selection, chat application architecture, grounding, RAG, tools, Azure AI agents, language and speech capabilities, evaluation, responsible AI, and production-readiness patterns.
A pro-code course for developers building generative AI apps and Azure AI agents with Microsoft Foundry. It absorbs the steeper Azure AI Foundry, AI-103, and AI-3026 developer content that should not live in AI Agent Builder Express.

Who should attend

Software developers, AI developers, solution developers, application architects, technical leads, and engineers building generative AI apps or Azure AI agents.

Prerequisites

Programming experience, API and SDK familiarity, and basic Azure familiarity. Python or C# experience recommended.
Recommended prior course or experience: AI Agent Builder Express for business-agent context; AI-900 or Azure fundamentals for learners new to Azure AI.

Course Outline

Azure AI developer landscape

  • Developer role and Microsoft Foundry overview
  • GenAI apps, agents, language, and speech
  • App-first vs agent-first solution patterns
  • Boundary with Agent Builder and Cloud Developer

Planning and preparing Azure AI development

  • Project setup, resources, environments, secrets
  • Select Azure AI and Foundry capabilities
  • Constraints: data, compliance, latency, cost
  • Build-vs-integrate decision points

Selecting, deploying, and evaluating models

  • Foundry model catalog and deployment endpoints
  • Fit by quality, cost, latency, context, and risk
  • Manual and automated evaluation approaches
  • Model decision records and evaluation notes

Building generative AI apps

  • Chat application architecture with Foundry
  • Prompts, messages, and system instructions
  • Responses API and maintainable app structure
  • Logging, configuration, and prompt versioning

Adding tools and actions

  • Built-in tools, function tools, APIs, custom code
  • Safe tool design, validation, and approvals
  • Tool testing and audit trails
  • When tool use becomes an agent workflow

Grounding and RAG

  • Prompt engineering vs RAG vs fine-tuning
  • Retrieval quality, citations, and chunking
  • Foundry IQ and knowledge-enhanced agents
  • Evaluate relevance, groundedness, and safety

Developing Azure AI agents

  • Foundry Agent Service and agent architecture
  • Instructions, models, tools, knowledge, state
  • Custom tools and MCP tools where appropriate
  • Agent workflows and business task orchestration

Language and speech capabilities

  • Azure Language and text analysis scenarios
  • Speech-capable generative AI applications
  • Translation and voice experiences
  • When specialized services beat a chat pattern

Responsible AI, testing, and evaluation

  • Responsible AI in Microsoft Foundry
  • Quality, safety, privacy, and abuse testing
  • Latency, cost, reliability, and UX metrics
  • Deployment-readiness review

Developer roadmap to production

  • What belongs in Azure AI Cloud Developer Express
  • Security handoff to Secure AI and Cloud Workloads
  • Data handoff to Fabric Analytics Express
  • Operational checklist for the next sprint

 

View outline in Word

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Attend hands-on, instructor-led Express: Microsoft Azure AI Developer training classes at ONLC's nationwide locations. Not near one of our locations? Attend these same live classes from your home/office PC via our Remote Classroom Instruction (RCI) technology.

For additional training options, check out our list of Courses and select the one that's right for you.

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