Microsoft Copilot & Azure AI
AI-102T00 Develop AI solutions in Azure
Build AI solutions on Azure.
5 daysIntermediate37 modulesAI-102T00Microsoft Certified: Azure AI Engineer Associate
About this course
Build AI solutions on Azure. Over five days you will deploy models from the Azure AI Foundry catalogue, develop generative AI apps with the SDK and prompt flow, ground them with RAG, fine-tune and evaluate models responsibly, and build single and multi-agent solutions with Foundry Agent Service and Semantic Kernel, preparing for AI-102.
Curriculum
37 modules
- What is AI?
- Azure AI services
- Azure AI Foundry
- Developer tools and SDKs
- Responsible AI
- Module assessment
- Explore the model catalog
- Deploy a model to an endpoint
- Optimize model performance
- Module assessment
- What is the Azure AI Foundry SDK?
- Work with project connections
- Create a chat client
- Module assessment
- Understand the development lifecycle of a large language model (LLM) app
- Understand core components and explore flow types
- Explore connections and runtimes
- Explore variants and monitoring options
- Module assessment
- Understand how to ground your language model
- Make your data searchable
- Create a RAG-based client application
- Implement RAG in a prompt flow
- Module assessment
- Understand when to fine-tune a language model
- Prepare your data to fine-tune a chat completion model
- Explore fine-tuning language models in Azure AI Foundry portal
- Module assessment
- Plan a responsible generative AI solution
- Map potential harms
- Measure potential harms
- Mitigate potential harms
- Manage a responsible generative AI solution
- Module assessment
- Assess the model performance
- Manually evaluate the performance of a model
- Automated evaluations
- Module assessment
- What are AI agents?
- Options for agent development
- Azure AI Foundry Agent Service
- Module assessment
- What is an AI agent
- How to use Azure AI Foundry Agent Service
- Develop agents with the Azure AI Foundry Agent Service
- Module assessment
- Why use custom tools
- Options for implementing custom tools
- How to integrate custom tools
- Module assessment
- Understand Semantic Kernel AI agents
- Create an Azure AI agent with Semantic Kernel
- Add plugins to Azure AI agent
- Understand the Semantic Kernel Agent Framework
- Create an agent group chat
- Design an agent selection strategy
- Define a chat termination strategy
- Understand connected agents
- Design a multi-agent solution with connected agents
- Module assessment
- Understand MCP tool discovery
- Integrate agent tools using an MCP server and client
- Module assessment
- Provision an Azure AI Language resource
- Detect language
- Extract key phrases
- Analyze sentiment
- Extract entities
- Extract linked entities
- Module assessment
- Understand question answering
- Compare question answering to Azure AI Language understanding
- Create a knowledge base
- Implement multi-turn conversation
- Test and publish a knowledge base
- Use a knowledge base
- Improve question answering performance
- Module assessment
- Understand prebuilt capabilities of the Azure AI Language service
- Understand resources for building a conversational language understanding model
- Define intents, utterances, and entities
- Use patterns to differentiate similar utterances
- Use pre-built entity components
- Train, test, publish, and review a conversational language understanding model
- Module assessment
- Understand types of classification projects
- Understand how to build text classification projects
- Module assessment
- Understand custom named entity recognition
- Label your data
- Train and evaluate your model
- Module assessment
- Provision an Azure AI Translator resource
- Specify translation options
- Define custom translations
- Module assessment
- Provision an Azure resource for speech
- Use the Azure AI Speech to Text API
- Use the text to speech API
- Configure audio format and voices
- Use Speech Synthesis Markup Language
- Module assessment
- Provision an Azure resource for speech translation
- Translate speech to text
- Synthesize translations
- Module assessment
- Deploy a multimodal model
- Develop an audio-based chat app
- Module assessment
- Provision an Azure AI Vision resource
- Analyze an image
- Module assessment
- Explore Azure AI options for reading text
- Read text with Azure AI Vision Image Analysis
- Module assessment
- Plan a face detection, analysis, or recognition solution
- Detect and analyze faces
- Verify and identify faces
- Responsible AI considerations for face-based solutions
- Module assessment
- Azure AI Custom Vision
- Train an image classification model
- Create an image classification client application
- Module assessment
- Use Azure AI Custom Vision for object detection
- Train an object detector
- Develop an object detection client application
- Module assessment
- Understand Azure Video Indexer capabilities
- Extract custom insights
- Use Video Analyzer widgets and APIs
- Module assessment
- Deploy a multimodal model
- Develop a vision-based chat app
- Module assessment
- What are image-generation models?
- Explore image-generation models in Azure AI Foundry portal
- Create a client application that uses an image generation model
- Module assessment
- What is Azure AI Content Understanding?
- Create a Content Understanding analyzer
- Use the Content Understanding REST API
- Module assessment
- Prepare to use the AI Content Understanding REST API
- Create a Content Understanding analyzer
- Analyze content
- Module assessment
- Understand prebuilt models
- Use the General Document, Read, and Layout models
- Use financial, ID, and tax models
- Module assessment
- What is Azure Document Intelligence?
- Get started with Azure Document Intelligence
- Train custom models
- Use Azure Document Intelligence models
- Use the Azure Document Intelligence Studio
- Module assessment
- What is Azure AI Search?
- Extract data with an indexer
- Enrich extracted data with AI skills
- Search an index
- Persist extracted information in a knowledge store
- Module assessment
Who it's for
Developers building AI-powered applications on Azure.
Before you start
- Knowledge of Microsoft Azure and ability to navigate the Azure portal
- Knowledge of either C# or Python
- Familiarity with JSON and REST programming semantics Recommended course prerequisites
- AI-900T00: Microsoft Azure AI Fundamentals course
Prepares for
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