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.
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
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.