Our Develop AI Apps and Agents on Azure AI-103 Course is a 4-day, instructor-led training course for software developers who want to build, manage and deploy AI applications and agents using Microsoft Foundry on Azure.
This AI-103 course covers generative AI applications, AI agents, knowledge connections, tools, multimodal capabilities and production-ready AI solutions that work with text, images and documents.

Course Schedule
4 days
8:00am - 4:00pm
Online Live
£1,527 per delegate
4 days
9:00am - 5:00pm
Online Live
£1,527 per delegate
4 days
8:00am - 4:00pm
Online Live
£1,527 per delegate
4 days
9:00am - 5:00pm
Online Live
£1,527 per delegate
Course Code: AI-103
Duration: 4 days
Course Overview
Design and build intelligent AI applications and agents on Azure that can reason over text, images and documents. The course focuses on developing AI-infused applications with Microsoft Foundry, including generative AI apps, AI agents, knowledge connections, tools and multimodal capabilities.
Target Audience
This course is designed for software developers concerned with building, managing and deploying AI solutions that use Microsoft Foundry.
Course Objectives
- Develop generative AI applications using Microsoft Foundry on Azure.
- Design and implement AI agents capable of task execution and orchestration.
- Build solutions that connect agents to knowledge and tools.
- Work with multimodal AI capabilities and complex content.
- Design scalable, production-ready AI solutions on Azure.
Course Prerequisites
Participants should be familiar with Python and have knowledge of using APIs and SDKs to build agents and generative AI solutions on Azure.
Note - This course is delivered via our training partner Global Knowledge.
Public Schedule
Private Virtual Training (Teams / Zoom)
N/A
Private Onsite Training (at your offices)
N/A
Note
All prices exclude VAT at 20%.
VAT registration number: 450 4347 14
You may also like...
Build AI-powered agents with Microsoft Copilot Studio using topics, knowledge, generative answers, variables, workflows and Power Automate.
1 day
Operationalise production AI on Azure using MLOps, GenAIOps, Azure Machine Learning, Microsoft Foundry, GitHub Actions, deployment and monitoring.
4 days
Build and operate cloud-native AI solutions on Azure using containers, vector-enabled data services, event-driven integration, security and monitoring.
5 days





