“We needed a partner who understood both the technical depth of Azure OpenAI and the governance requirements of an enterprise.”
Microsoft Official Curriculum
Develop AI apps and agents on Azure
This course is intended for software developers wanting to build AI infused applications that leverage Microsoft Foundry. Topics in this course include developing generative AI apps, building AI agents, and solutions that implement knowledge connections or tools in your agentic applications. This course also covers multimodal capabilities and understanding of complex content.
Duration
4 days
Level
Intermediate
Format
Virtual, On-site, or Hybrid
Language
English
Microsoft
AI Application and Agent DevelopmentAzure AI Apps and Agents Developer Associate
Azure AI
On this page
Ideal for
How VNode delivers this
Who this is for, and how we run it
VNode ITeS delivers Azure AI Apps and Agents Developer Associate as an MCT-led Microsoft program for AI Developer. Typical duration is 4 days (Virtual, On-site, or Hybrid). Labs follow production-shaped scenarios rather than slide-only walkthroughs. Certification prep maps to AI-103 without turning the week into a dump of Learn modules. Private cohorts can shift emphasis by role mix, workspace or repo constraints, and rollout timing.
Audience Profile
Built for these roles
This course was designed for software engineers concerned with building, managing and deploying AI solutions that leverage Microsoft Foundry. They are familiar with Python and have knowledge on using APIs and SDKs to build agents and generative AI solutions on Azure.
Overview
Executive overview
This course is intended for software developers wanting to build AI infused applications that leverage Microsoft Foundry. Topics in this course include developing generative AI apps, building AI agents, and solutions that implement knowledge connections or tools in your agentic applications. This course also covers multimodal capabilities and understanding of complex content.
Readiness
Prerequisites
- Hands-on experience in the relevant Microsoft workload area.
- Familiarity with core product concepts and enterprise delivery expectations.
Program Outcomes
Capabilities your teams will gain
Strengthen readiness for AI-103 certification objectives
Build deeper delivery capability in ai application and agent development scenarios
Prepare teams for more confident project execution in the target Microsoft workload
Support structured certification-led upskilling across the organization
Curriculum
Curriculum roadmap
Develop generative AI apps in Azure
Develop AI agents on Azure
Develop natural language solutions in Azure
Extract insights from visual data on Azure
1Module 1
Develop generative AI apps in Azure
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Module 1
Develop generative AI apps in Azure
Learn how to develop generative AI apps in Microsoft Foundry. (AI-3016)
- Plan and prepare to develop AI solutions on Azure
- Select, deploy, and evaluate Microsoft Foundry models
- Develop a generative AI chat app with Microsoft Foundry
- Develop generative AI apps that use tools
- Optimize generative AI model performance with Microsoft Foundry
- Implement a responsible generative AI solution in Microsoft Foundry
2Module 2
Develop AI agents on Azure
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Module 2
Develop AI agents on Azure
Learn how to develop AI agents on Azure using the Microsoft Foundry Agent Service and Microsoft Agent Framework. AI-3026
- Develop AI agents with Microsoft Foundry and Visual Studio Code
- Integrate custom tools into your agent
- Integrate MCP Tools with Azure AI Agents
- Build knowledge-enhanced AI agents with Foundry IQ
- Integrate your agent with Microsoft 365
- Build agent-driven workflows using Microsoft Foundry
- Develop an AI agent with Microsoft Agent Framework
- Orchestrate a multi-agent solution using the Microsoft Agent Framework
- Discover Azure AI Agents with A2A
3Module 3
Develop natural language solutions in Azure
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Module 3
Develop natural language solutions in Azure
Develop natural language solutions in Azure
- Analyze text with Azure Language in Foundry Tools
- Develop a text analysis agent with the Azure Language MCP server
- Develop a speech-capable generative AI application
- Create speech-enabled apps with Azure Speech in Microsoft Foundry Tools
- Develop a speech agent with the Azure Speech MCP server
- Develop an Azure Speech Voice Live Agent in Microsoft Foundry
- Translate text and speech with Microsoft Foundry Tools
4Module 4
Extract insights from visual data on Azure
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Module 4
Extract insights from visual data on Azure
Use generative AI vision and Content Understanding in Azure to extract insights from visual data.
- Develop a vision-enabled generative AI application
- Generate images with AI
- Generate videos with Microsoft Foundry
- Analyze images with Content Understanding
- Create a multimodal analysis solution with Azure Content Understanding
- Create an Azure Content Understanding client application
- Extract data with Azure Document Intelligence
- Create a knowledge mining solution with Azure AI Search
Delivery Models
Delivery models
Engagement Fit
Engagement fit
Enterprise Customization
Enterprise customization
Tailor this program to your organization's priorities: Prepares development teams for the emerging AI apps and agents delivery model on Azure, covering modern AI-first application patterns.
- •Align labs to your production environment and platform priorities
- •Add focused exam-readiness reviews and instructor-led practice sessions
- •Extend into project-specific architecture or delivery coaching
Credentials
Certification & official source
- •Azure AI Apps and Agents Developer Associate
Aligned to the official Microsoft Learn course and learning path for this program.
View Official Microsoft Learn PageResources
Program resources
Yes. Most enterprise clients prefer private delivery scoped to role mix, timezone, and rollout timeline. We align lab environments and scenarios to your tenant context where applicable.
Enterprise Proof
Trusted delivery outcomes
Retail & E-commerce
Representative Retail Analytics Team
Instead of treating reporting as a tooling issue alone, the work focused on consistency, governance, and shared delivery practices across analysts and engineering teams.
- Higher consistency in report design practices
- Improved collaboration between analysts and engineering teams
Healthcare
Representative Healthcare Product Team
The engagement helped product and engineering stakeholders move from interest in AI to clearer implementation choices, security expectations, and prototyping discipline.
- Stronger alignment between product and engineering teams
- Improved clarity on prototype-to-production requirements
Delivery Capability
Enterprise-grade instruction
MCT-led delivery
Programs led by Microsoft Certified Trainer practitioners
Enterprise program oversight
Founder-led specialist delivery with structured rollout planning
Global delivery
APAC · EMEA · Americas · Virtual & Onsite
Implementation-focused
Hands-on labs aligned to production scenarios
