Can the program be customized?

Yes. Develop AI apps and agents on Azure supports customization around lab depth, demo context, certification focus, and team-specific scenarios.

Yes. This program includes instructor-led labs and practical exercises aligned to real implementation patterns.

How does this align with official certification or curriculum?

This program is aligned to the official Microsoft Learn curriculum and learning path referenced for this track.

How are prerequisites assessed?

We review prerequisite readiness during scoping and can recommend preparatory modules or a skills checkpoint before cohort start.

What happens after the program?

Private cohorts receive a handover summary, recommended next learning paths, and optional follow-on advisory for rollout or certification readiness.

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.

Role-Based Certification PrepTrack: AI-103T00Official Source: Microsoft LearnMicrosoftIntermediateIn Demand

Plan Private Delivery Consult a Solutions Architect

Download Program Brief (PDF)

Program Snapshot

Engagement scoped to cohort

Duration4 days

FormatVirtual, On-site, or Hybrid

LevelIntermediate

Course CodeAI-103T00

Certification TrackAI-103T00

SubjectAI

MCT-led delivery
Private cohort / virtual ILT
Typical response: 1 business day

Scoping call typically scheduled within one business day

VNode ITeS delivers Develop AI apps and agents on Azure as an MCT-led Microsoft program for Ai Engineer, 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.

AI Engineer
AI
Certification Readiness
Tailored Team Delivery

Overview

Executive overview

Prerequisites

Relevant foundational experience in the target technology area.
Comfort with hands-on labs in a cloud or GPU-accelerated environment.

Program Outcomes

Capabilities your teams will gain

Strengthen capability in ai engineer scenarios
Strengthen capability in developer scenarios
Strengthen capability in microsoft foundry scenarios

Enterprise Delivery

Official learning & delivery options

Review the vendor learning resource, then book a consultation or request a private cohort for your team.

View Official Learning Book a Consultation Request Private Cohort Open in learning platform Program brief (PDF)

Curriculum

Curriculum roadmap

Ai Engineer
Developer
Microsoft Foundry

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

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

Module 3

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

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

Virtual ILTOnsiteHybridExecutive WorkshopBootcampWeekend

Engagement Fit

Engagement fit

Certification readiness
Implementation-focused labs
Private cohort delivery
Intermediate practitioner depth

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

•AI-103T00

Aligned to the official Microsoft Learn course and learning path for this program.

View Official Microsoft Learn Page

Resources

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.

Program brief (PDF)View Official Microsoft Learn Page

Enterprise Proof

Trusted delivery outcomes

“We needed a partner who understood both the technical depth of Azure OpenAI and the governance requirements of an enterprise.”

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

Read engagement

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

Read engagement

Delivery Capability

Enterprise-grade instruction

View delivery capability profile

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

Plan delivery