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.
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.
Course Content
- Course Introduction –> 2 lectures • 3min.
- Foundations of AI and Generative AI –> 5 lectures • 16min.
- Getting Started with Azure AI –> 6 lectures • 20min.
- Understanding Azure AI Foundry –> 5 lectures • 22min.
- Azure AI Foundry SDK –> 4 lectures • 16min.
- Retrieval-Augmented Generation (RAG) –> 5 lectures • 17min.
- AI Agents with Azure –> 5 lectures • 17min.
- Advanced NLP and Conversational AI –> 4 lectures • 15min.
- Computer Vision with Azure AI –> 7 lectures • 26min.
- Conclusion –> 1 lecture • 2min.
Requirements
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!