Cloud Computing and Virtualisation

Microsoft AI-200T00 - Develop AI Cloud Solutions on Microsoft Azure

  • Length 5 days
  • Price  NZD 3650 exc GST
Course overview
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Why study this course

This course teaches developers how to create, monitor, and troubleshoot AI solutions on Microsoft Azure. Students will learn how to implement Azure compute and containerization patterns to host applications, build serverless APIs with Azure Functions, and integrate services using event‑driven and message‑based architectures such as Azure Service Bus and Event Grid. The course also covers working with Azure data services that support AI workloads, including designing and querying solutions with Cosmos DB for NoSQL, Azure Database for PostgreSQL with pgvector, and Azure Managed Redis for caching, streaming, and vector search. By the end of the course, developers will be able to connect services, orchestrate AI workflows, and build secure, scalable, and observable AI‑driven applications on Azure.

Please note: This course is due to be released by Microsoft on April 30th, 2026.

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What you’ll learn

By the end of the course, students will be able to connect services, orchestrate AI workflows, and build secure, scalable, and observable AI‑driven applications on Azure.


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Microsoft Azure at Lumify Work

As part of Lumify Group, Lumify Work has skilled more people in Microsoft technologies than any other organisation in Australia and New Zealand. We have a campus in the Philippines, too. We offer the broadest range of instructor-led training courses, from end user to architect level.  We are proud to be the winner of the Microsoft MCT Superstars Award for FY24, which formally recognises us as having the highest quality Microsoft Certified Trainers in ANZ. 


Who is the course for?

This course is designed for developers who build backend and AI‑driven applications on Azure and need practical skills in containerised compute, data services for AI, event‑driven workflows, and application security and monitoring.


Course subjects

Implement container application hosting on Azure

  • Store and manage containers in Azure Container Registry

  • Deploy containers to Azure App Service

Deploy and manage apps on Azure Container Apps

  • Deploy containers to Azure Container Apps

  • Manage containers in Azure Container Apps

  • Scale containers in Azure Container Apps

Deploy and monitor applications on Azure Kubernetes Service

  • Deploy applications to Azure Kubernetes Service

  • Configure applications on Azure Kubernetes Service

  • Monitor and troubleshoot applications on Azure Kubernetes Service

Develop AI solutions with Azure Cosmos DB for NoSQL

  • Build queries for Azure Cosmos DB for NoSQL

  • Implement vector search on Azure Cosmos DB for NoSQL

  • Optimize query performance for Azure Cosmos DB for NoSQL

Develop AI solutions with Azure Database for PostgreSQL

  • Build and query with Azure Database for PostgreSQL

  • Implement vector search with Azure Database for PostgreSQL

  • Optimize vector search in Azure Database for PostgreSQL


Prerequisites

To be successful in this course, learners should have the following:

  • Programming experience with languages such as Python, JavaScript, or C#.

  • Basic understanding of Azure services and cloud computing concepts.

  • Familiarity with containerization fundamentals.

  • Familiarity with container concepts.

  • Familiarity with command-line tools including Azure CLI.

  • Familiarity with containerization and Kubernetes fundamentals.

  • Access to Azure Kubernetes Service and related tools for practical exercises.

  • Programming experience with Python.

  • Familiarity with JSON document structures.

  • Understanding of machine learning concepts including embeddings and similarity search.

  • Familiarity with relational databases and SQL fundamentals.


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Terms & Conditions

The supply of this course by Lumify Work is governed by the booking terms and conditions. Please read the terms and conditions carefully before enrolling in this course, as enrolment in the course is conditional on acceptance of these terms and conditions.


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