Azure Kubernetes Service (AKS) cho AI Agent

Unlock the power of Azure AI Foundry Agents and AKS to build, deploy, and scale real-world enterprise LLM applications.

This course is your complete guide to designing AI agents using Azure AI Agent Service, integrating Azure AI Foundry, RAG (Retrieval-Augmented Generation), and deploying to production using Azure Kubernetes Service (AKS).

You’ll go beyond theory — through hands-on labs, real-world projects, and architectural blueprints, you'll learn how to deliver scalable, secure, and observable GenAI solutions using modern Azure tools.

Whether you're a developer, data scientist, or cloud architect, this course equips you with the end-to-end skills to move from prototype to production.

What you’ll learn

• Implement secure, scalable RAG workflows with vector search and embedded data

• Containerize your agents and deploy them on Azure Kubernetes Service (AKS)

• Learn about AKS Networking, Ingress Controllers, Multi-Container Design Patterns etc.

Who this course is for

• AI engineers and developers working with LLMs and Azure

• Cloud professionals looking to scale GenAI solutions on Kubernetes

• Solution architects designing secure, production-grade AI systems

• Anyone looking to master the Azure AI Agent Service + AKS combo

Prerequisites

• Basic knowledge of Python and REST APIs

• Familiarity with Azure fundamentals

• Some understanding and experience with Docker and Containers

• Interest or background in AI and LLM-based applications