Develop AI solutions in Azure is intended for software developers wanting to build AI infused applications that leverage Azure AI Foundry and other Azure AI services. Topics in this course include developing generative AI apps, building AI agents, and solutions that implement computer vision and information extraction. The course will use C# or Python as the programming language.
This course was designed for software engineers concerned with building, managing and deploying AI solutions that leverage Azure AI Foundry and other Azure AI services. They are familiar with C# or Python and have knowledge on using REST-based APIs and SDKs to build generative AI, computer vision, language analysis, and information extraction solutions on Azure.
By actively participating in this course, you will learn about the following:
Developing generative AI apps in Azure
Developing AI agents in Azure.
Developing natural language solutions in Azure.
Developing computer vision solutions in Azure
Developing AI information extraction solutions in Azure.
Before attending this course, students must have:
To gain C# or Python skills, complete the free Take your first steps with C# or Take your first steps with Python learning path before attending the course.
If you are new to artificial intelligence, and want an overview of AI capabilities on Azure, consider completing the Azure AI Fundamentals certification before taking this one.
Module 1: Develop Generative AI Apps in Azure
Plan and prepare to develop AI solutions on Azure
Choose and deploy models from the model catalog in Azure AI Foundry portal
Develop an AI app with the Azure AI Foundry SDK
Get started with prompt flow to develop language model apps in the Azure AI Foundry
Develop a RAG-based solution with your own data using Azure AI Foundry
Fine-tune a language model with Azure AI Foundry
Implement a responsible generative AI solution in Azure AI Foundry
Evaluate generative AI performance in Azure AI Foundry portal
Module 2: Develop AI Agents in Azure
Get started with AI agent development on Azure
Develop an AI agent with Azure AI Foundry Agent Service
Integrate custom tools into your agent
Develop a multi-agent solution with Azure AI Foundry Agent Service
Integrate MCP Tools with Azure AI Agents
Develop an AI agent with Microsoft Agent Framework
Orchestrate a multi-agent solution using the Microsoft Agent Framework
Discover Azure AI Agents with A2A
Module 3: Develop Natural Language Solutions in Azure
Analyze text with Azure AI Language
Create question answering solutions with Azure AI Language
Build a conversational language understanding model
Create a custom text classification solution
Custom named entity recognition
Translate text with Azure AI Translator service
Create speech-enabled apps with Azure AI services
Translate speech with the Azure AI Speech service
Develop an audio-enabled generative AI application
Develop an Azure AI Voice Live agent
Module 4: Develop Computer Vision Solutions in Azure
Analyze images
Read text in images
Detect, analyze, and recognize faces
Classify images
Detect objects in images
Analyze video
Develop a vision-enabled generative AI application
Generate images with AI
Module 5: Develop AI Information Extraction Solutions in Azure
Create a multimodal analysis solution with Azure AI Content Understanding
Create an Azure AI Content Understanding client application
Use prebuilt Document intelligence models
Extract data from forms with Azure Document intelligence
Create a knowledge mining solution with Azure AI Search
This course leads to the AI-102 Designing and Implementing a Microsoft Azure AI Solution (beta) exam, which will earn you the Microsoft Certified: Azure AI Engineer Associate certification.
This training course provided by Skilltec is accredited through Global Knowledge Training Ltd. Global Knowledge Training Ltd are the authorised learning partner; all trademarks and partner statuses are provided through them.