Course run in conjunction with Nexus Human. Trading MicroWarehouse CSP partners enjoy further discounts on selected Nexus human courses.

This is an intensive 4-day online course running from June 29th – July 2nd inclusive.  MicroWarehouse trading partners can avail of our heavily discounted rate of €500 per candidate.  Please ensure you have cleared your calendar before registering as no refunds will be offered for cancellations made within 7 days of course commencement and places are limited.

Learn how to develop AI-powered applications and agents using Microsoft Azure. In this course, you will explore how to design, build, and deploy intelligent solutions using Azure AI services, including Azure OpenAI, Azure AI Foundry, and other cognitive services. You will gain practical experience in creating generative AI apps, building AI agents, and integrating AI capabilities into applications. The course is designed for developers working with cloud-based AI solutions and helps learners prepare for the AI-103: Develop AI Apps and Agents on Azure certification.

Prerequisites

• Basic understanding of Microsoft Azure
• Experience with programming concepts and REST APIs
• Familiarity with Python or C#
• Basic understanding of JSON and data structures
• General knowledge of cloud computing concepts

Course Contents

1 – Introduction to Azure AI and agent development

• Explore Azure AI services and capabilities
• Understand AI workloads and use cases
• Introduction to AI agents and generative AI concepts

2 – Develop generative AI solutions

• Understand Azure OpenAI Service
• Design and optimise prompts
• Generate text and content using large language models
• Apply responsible AI practices

3 – Build AI agents on Azure

• Understand agent architecture and design
• Create and configure intelligent agents
• Manage agent interactions and workflows

4 – Develop natural language solutions

• Use Azure AI Language services
• Analyse text and extract insights
• Build conversational experiences

5 – Work with Azure AI Vision

• Analyse images and videos
• Implement computer vision solutions
• Extract insights from visual data

6 – Integrate AI into applications

• Use SDKs and APIs to embed AI capabilities
• Build end-to-end AI-powered applications
• Automate workflows using AI services

7 – Deploy and manage AI solutions

• Deploy AI models and services in Azure
• Monitor performance and optimise solutions
• Manage scalability and cost

8 – Secure and govern AI applications

• Implement security best practices
• Manage access and data protection
• Apply responsible AI and governance policies