Microsoft Certified Azure AI Engineer Associate : AI-102

Learn Microsoft Azure AI-102 Skills to Build and Deploy AI Solutions on Azure

Artificial Intelligence (AI) is reshaping industries and empowering businesses with intelligent automation, data insights and conversational experiences. Microsoft Azure AI provides a comprehensive platform to build, train and deploy powerful AI solutions seamlessly within the Azure ecosystem.

“This course contains the use of artificial intelligence.”

This course is designed for developers, data scientists and professionals who want to master AI on Azure from understanding the core concepts of AI and Generative AI to creating custom intelligent applications using Azure AI Foundry, Azure OpenAI and Cognitive Services.

You’ll learn how to leverage Azure’s AI offerings to build, fine-tune and integrate models into real-world projects, enabling you to deliver scalable and secure AI-powered solutions with ease. In addition, this course will fully prepare you for the Microsoft Certified: Azure AI Engineer Associate (AI-102) certification exam validating your ability to build, manage, and deploy AI solutions using Azure AI technologies.

What's in this course?

We begin with the foundations of AI and Generative AI, exploring the principles behind modern AI models. Then, you’ll get hands-on with Azure AI services, learning how to build, deploy, and integrate them into applications. You’ll gain practical experience through projects that cover:

• Setting up your Azure AI environment and resource management

• Exploring Azure AI Foundry and its SDK for streamlined model deployment

• Creating and managing models using Azure OpenAI Service

• Building Retrieval-Augmented Generation (RAG) systems on Azure

• Developing AI Agents with multi-turn conversations and contextual intelligence

• Applying Natural Language Processing (NLP) and Conversational AI techniques

• Implementing Computer Vision solutions for image recognition and analysis

• End-to-end AI project deployment with monitoring and scalability

By the end of this course, you’ll have both practical expertise and exam-ready knowledge to confidently pursue the AI-102 certification, empowering you to design and deliver advanced AI-driven applications on Azure.

Special Note

This course emphasizes hands-on, practical learning. Every module includes live demonstrations with real-world troubleshooting, so you gain not just the theory but also the confidence to implement LLM solutions independently.

Legal Notice:

Microsoft® or Azure® is a registered trademarks of  Microsoft in the United States and other countries. This course is not certified, accredited, affiliated by Microsoft.

Course Structure

• Lectures

• Live Demonstrations

• Hands-on Labs

• Real-world Projects

  
  

Course Contents

• Introduction to Azure AI

• Foundations of AI and Generative AI

• Getting Started with Azure AI

• Understanding Azure AI Foundry Playground

• Azure AI Foundry SDK

• Retrieval-Augmented Generation (RAG)

• Implementing RAG in Azure AI Foundry

• Deploying an AI Agent in Azure

• Advanced NLP and Conversational AI

• Building a Conversational Agent with Azure AI Services

• Developing computer vision application

• Deploying an AI Agent in Azure

  
  

All sections of this course are demonstrated live, with the goal of encouraging enrolled users to set up their own environments, complete the exercises, and learn through hands-on experience!