Microsoft Certified Azure AI Engineer Associate : AI-102

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

What you'll learn
- Design and implement AI solution with Azure AI
- Compare and implement model deployment strategies
- Work with Azure CLI for model inputs/outputs
- Develop RAG (Retrieval-Augmented Generation) applications using Azure OpenAI
- Build AI Agents with context-aware conversational capabilities
- Apply NLP and Vision AI services for real-world use cases
- Prepare for the AI-102 certification exam

Requirements
- Fundamentals of Azure Cloud
- Familiarity with AI/ML and Generative AI fundamentals (Good to have)
- Interest in deploying, managing and integrating AI models using Azure tools

Description
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 ofMicrosoftin the United States and other countries. This course is not certified, accredited, affiliated byMicrosoft.

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!

Who this course is for:
- Professionals preparing for the AI-102 Certification Exam
- AI/ML Engineers and Data Scientists
- Cloud and DevOps Engineers exploring AI integration
- AI enthusiasts eager to work with enterprise-ready AI tools
- Technical Leads and Product Managers evaluating Azure AI capabilities
- AI enthusiasts eager to work with enterprise-ready AI tools
- Developers building intelligent and conversational apps
More Info