In this course, you will acquire basic knowledge about Azure virtual machines and learn how to design and manage virtual machines according to workload.

Learn about Azure Fundamentals. It is useful for those who are planning to take the AZ-900 (Azure Fundamentals) exam.

IT services are rapidly transitioning to cloud environments. This covers everything from basic virtual infrastructure construction to understanding service operation, monitoring, and security areas for each area to secure the MS Azure cloud environment.

This special lecture lays the theoretical groundwork for simultaneous Microsoft AZ-900 certification preparation. Featuring the latest content reflecting the May 2025 exam scope, it covers cloud concepts, Azure architecture and services, and Azure management and governance, delivered with a blend of theory and hands-on practice.

Learn about Azure Fundamentals. It is useful for those who are planning to take the AZ-900 (Azure Fundamentals) exam.

I'll provide a complete full-stack source code, and by following along with the course to create and configure Azure services step by step, you'll complete a fully functional real Azure web app service. This is an Azure course where you don't need to know the source language, and you can either practice hands-on or just watch the course without practicing.

This course is built from real-world experience designing and deploying production-grade LLM applications on Azure. Rather than focusing on toy examples or isolated notebooks, I guide students through the exact challenges they face when moving from experimentation to real systems: data ingestion, vector storage, service orchestration, cloud deployment, and security. Throughout the course, I break down complex Azure services into clear, practical steps, explain why each architectural decision is made, and show how components work together in a scalable system. Students learn by building, debugging, and deploying a complete LangChain-based application, gaining confidence in solving real infrastructure and application-level problems.

This is a lecture on creating and deploying your own GPT using various resources in Azure. From start to finish! Let's deploy a complete service from scratch!