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

This is an intensive 5-day online course running from June 22nd – 26th 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 design, build, and deploy AI solutions using Microsoft Azure AI services. In this course, you will develop the skills needed to create intelligent cloud-based applications that leverage Azure Cognitive Services, Azure AI Foundry, and other AI tools. Specifically, you will learn how to analyse data, build and manage AI models, and integrate AI capabilities into applications. The course is designed for developers working with cloud-based AI solutions and helps learners prepare for the exam AI-200: Azure AI Cloud Developer Associate.

Prerequisites

• Basic understanding of Microsoft Azure
• Familiarity with software development concepts and REST APIs
• Experience with programming languages such as Python or C#
• Basic understanding of JSON and data structures
• Familiarity with cloud computing concepts

Course Contents

1 – Introduction to Azure AI Services

• Explore Azure AI services and capabilities
• Understand responsible AI principles
• Get started with Azure AI Foundry
• Identify common AI workloads and use cases

2 – Develop AI solutions using Azure AI Vision

• Analyse images with computer vision
• Detect objects and generate insights
• Work with image classification models
• Implement optical character recognition (OCR) solutions

3 – Build Natural Language Processing (NLP) solutions

• Use Azure AI Language services
• Analyse sentiment and extract key phrases
• Build conversational language understanding solutions
• Translate and process multilingual content

4 – Create generative AI solutions

• Understand Azure OpenAI Service capabilities
• Design prompt-based solutions
• Generate content using large language models
• Apply responsible AI practices in generative AI

5 – Develop conversational AI applications

• Build chatbots using Azure AI Bot Service
• Design conversational flows and intents
• Integrate AI services into chatbot solutions
• Test and deploy conversational agents

6 – Work with Azure AI Search

• Create and manage search indexes
• Implement semantic search capabilities
• Enhance search experiences with AI enrichment
• Query and retrieve structured data

7 – Deploy and manage AI solutions

• Deploy models using Azure resources
• Monitor and optimise solution performance
• Manage costs and scalability
• Secure AI applications and data

8 – Integrate AI into applications

• Use SDKs and APIs to embed AI capabilities
• Build end-to-end AI-powered solutions
• Automate workflows with AI services
• Test and maintain AI-enabled applications