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AI-102T00: Designing and Implementing a Microsoft Azure AI Solution
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Introduction
Audio book: AI-102T00 Introduction
Lesson 1: Develop generative AI apps in Azure
Lesson 1: Develop generative AI apps in Azure
Audio book: Lesson 1: Develop generative AI apps in Azure
Podcast Lesson 1: Develop generative AI apps in Azure
1.1.1 Introduction
1.1.2 What is AI ?
1.1.3 Azure AI services
1.1.4 Azure AI Foundry
1.1.5 Developer tools and SDKs
1.1.6 Responsible AI
1.1.7 Summary
Interactive Quiz/Activity- Multiple choice with image
Graded Assessment- 5 Questions
1.2.1 Introduction
1.2.2 Explore the model catalog
1.2.3 Deploy a model to an endpoint
1.2.4 Optimize model performance
1.2.5 Summary
Interactive Quiz/Activity- Multiple choice with image
Graded Assessment- 5 Questions
1.3.1 Introduction
1.3.2 What is the Azure AI Foundry SDK?
1.3.3 Work with project connections
1.3.4 Create a chat client
1.3.5 Summary
Interactive Quiz/Activity- Sequence
Graded Assessment- 5 Questions
1.4.1 Introduction
1.4.2 Understand the development lifecycle of a large language model (LLM) app
1.4.3 Understand core components and explore flow types
1.4.4 Explore connections and runtimes
1.4.5 Explore variants and monitoring options
1.4.6 Summary
Interactive Quiz/Activity- Tab: Type 2
Graded Assessment- 5 Questions
1.5.1 Introduction
1.5.2 Understand how to ground your language model
1.5.3 Make your data searchable
1.5.4 Create a RAG-based client application
1.5.5 Implement RAG in a prompt flow
1.5.6 Summary
Interactive Quiz/Activity- Accordion
Graded Assessment- 5 Questions
1.6.1 Introduction
1.6.2_Understand when to fine-tune a language model
1.6.3 Prepare your data to fine-tune a chat completion model
1.6.4 Explore fine-tuning language models in Azure AI Studio
1.6.5 Summary
Interactive Quiz/Activity- Drag and drop
Graded Assessment- 5 Questions
1.7.1 Introduction
1.7.2 Plan a responsible generative AI solution
1.7.3 Map potential harms
1.7.4 Measure potential harms
1.7.5 Mitigate potential harms
1.7.6 Manage a responsible generative AI solution
1.7.7 Summary
Interactive Quiz/Activity- True/False
Graded Assessment- 5 Questions
1.8.1 Introduction
1.8.2 Assess the model performance
1.8.3 Manually evaluate the performance of a model
1.8.4 Automated evaluations
1.8.5 Summary
Interactive Quiz/Activity- Multiple choice with image
Graded Assessment- 5 Questions
Lesson 2: Develop AI agents on Azure
Lesson 2: Develop AI agents on Azure
Audio book: Lesson 2: Develop AI agents on Azure
Podcast Lesson 2: Develop AI agents on Azure
2.1.1 Introduction
2.1.2 What are AI agents?
2.1.3 Options for agent development
2.1.4 Azure AI Foundry Agent Service
2.1.5 Summary
Interactive Quiz/Activity- Multiple Response
Graded Assessment- 5 Questions
2.2.1 Introduction
2.2.2 What is an AI agent
2.2.3 How to use Azure AI Foundry Agent Service
2.2.4 Develop agents with the Azure AI Foundry Agent Service
2.2.5 Summary
Interactive Quiz/Activity- Carousel/ Slideshow
Graded Assessment- 5 Questions
2.3.1 Introduction
2.3.2 Why use custom tools
2.3.3 Options for implementing custom tools6
2.3.4 How to integrate custom tools
2.3.5 Summary
Interactive Quiz/Activity- Carousel/ Slideshow
Graded Assessment- 5 Questions
2.4.1 Introduction
2.4.2 Understand Semantic Kernel AI agents
2.4.3 Create an Azure AI agent with Semantic Kernel
2.4.4 Add plugins to Azure AI agent
2.4.5 Summary
Interactive Quiz/Activity- Drag-and-Drop
Graded Assessment- 5 Questions
2.5.1 Introduction
2.5.2 Understand the Semantic Kernel Agent Framework
2.5.3 Create an agent group chat
2.5.4 Design an agent selection strategy
2.5.5 Define a chat termination strategy
2.5.6 Summary
Interactive Quiz/Activity- Sequence
Graded Assessment- 5 Questions
2.6.1 Introduction
2.6.2 Understand connected agents
2.6.3 Design a multi-agent solution with connected agents
2.6.4 Summary
Interactive Quiz/Activity- Short Answer / Fill-in-blank
Graded Assessment- 5 Questions
2.7.1 Introduction
2.7.2 Understand MCP tool discovery
2.7.3 Integrate agent tools using an MCP server and client
2.7.4 Summary
Interactive Quiz/Activity- True/False
Graded Assessment- 5 Questions
Lesson 3: Develop natural language solutions in Azure
Lesson 3: Develop natural language solutions in Azure
Audio book: Lesson 3: Develop natural language solutions in Azure
Podcast Lesson 3: Develop natural language solutions in Azure
3.1.1 Introduction
3.1.2 Provision an Azure AI Language resource
3.1.3 Detect language
3.1.4 Extract key phrases
3.1.5 Analyze sentiment
3.1.6 Extract entities
3.1.7 Extract linked entities
3.1.8 Summary
Interactive Quiz/Activity- Carousel/Slideshow
Graded Assessment- 5 Questions
3.2.1 Introduction
3.2.2 Understand question answering
3.2.3 Compare question answering to Azure AI Language understanding
3.2.4 Create a knowledge base
3.2.5 Implement multi-turn conversation
3.2.6 Test and publish a knowledge base
3.2.7 Use a knowledge base
3.2.8 Improve question answering performance
3.2.9 Summary
Interactive Quiz/Activity- Sequence
Graded Assessment- 5 Questions
3.3.1 Introduction
3.3.2 Understand prebuilt capabilities of the Azure AI Language service
3.3.3 Understand resources for building a conversational language understanding model
3.3.4 Define intents, utterances, and entities
3.3.5 Use patterns to differentiate similar utterances
3.3.6 Use pre-built entity components
3.3.7 Train, test, publish, and review a conversational language understanding model
3.3.8 Summary
Interactive Quiz/Activity- Multiple Response
Graded Assessment- 5 Questions
3.4.1 Introduction
3.4.2 Understand types of classification projects
3.4.3 Understand how to build text classification projects
3.4.4 Summary
Interactive Quiz/Activity- Hotspot
Graded Assessment- 5 Questions
3.5.1 Introduction
3.5.2 Understand custom named entity recognition
3.5.3 Label your data
3.5.4 Train and evaluate your model
3.5.5 Summary
Interactive Quiz/Activity- Accordion
Graded Assessment- 5 Questions
3.6.1 Introduction
3.6.2 Provision an Azure AI Translator resource
3.6.3 Understand language detection, translation, and transliteration
3.6.4 Specify translation options
3.6.5 Define custom translations
3.6.6 Summary
Interactive Quiz/Activity- Multiple choice with image
Graded Assessment- 5 Questions
3.7.1 Introduction
3.7.2 Provision an Azure resource for speech2
3.7.3 Use the Azure AI Speech to Text API
3.7.4 Use the text to speech API
3.7.5 Configure audio format and voices
3.7.6 Use Speech Synthesis Markup Language
3.7.7 Summary
Interactive Quiz/Activity- Pop-up
Graded Assessment- 5 Questions
3.8.1 Introduction
3.8.2 Provision an Azure resource for speech translation
3.8.3 Translate speech to text
3.8.4 Synthesize translations
3.8.5 Summary
Interactive Quiz/Activity- True/False
Graded Assessment- 5 Questions
3.9.1 Introduction
3.9.2 Deploy a multimodal model
3.9.3 Develop an audio-based chat app
3.9.4 Summary
Interactive Quiz/Activity- Short Answer
Graded Assessment- 5 Questions
Lesson 4: Develop computer vision solutions in Azure
Lesson 4: Develop computer vision solutions in Azure
Audio book: Lesson 4: Develop computer vision solutions in Azure
Podcast Lesson 4: Develop computer vision solutions in Azure
4.1.1 Introduction
4.1.2 Provision an Azure AI Vision resource
4.1.3 Analyse an Image
4.1.4 Summary
Interactive Quiz/Activity- Multiple Response
Graded Assessment- 5 Questions
4.2.1 Introduction
4.2.2 Explore Azure AI options for reading text
4.2.3 Read text with Azure AI Vision Image Analysis
4.2.4 Summary
Interactive Quiz/Activity- Sequence
Graded Assessment- 5 Questions
4.3.1 Introduction
4.3.2 Plan a face detection, analysis, or recognition solution
4.3.3 Detect and analyze faces
4.3.4 Verify and identify faces
4.3.5 Responsible AI considerations for face-based solutions
4.3.6 Summary
Interactive Quiz/Activity- Flip Card
Graded Assessment- 5 Questions
4.4.1 Introduction
4.4.2 Azure AI Custom Vision
4.4.3 Train an image classification model
4.4.4 Create an image classification client application
4.4.5 Summary
Interactive Quiz/Activity- Drag-and-Drop
Graded Assessment- 5 Questions
4.5.1 Introduction
4.5.2 Use Azure AI Custom Vision for object detection
4.5.3 Train an object detector
4.5.4 Develop an object detection client application
4.5.5 Summary
Interactive Quiz/Activity- True/False
Graded Assessment- 5 Questions
4.6.1 Introduction
4.6.2 Understand Azure Video Indexer capabilities
4.6.3 Extract custom insights
4.6.4 Use Video Analyzer widgets and APIs
4.6.5 Summary
Interactive Quiz/Activity- Popup
Graded Assessment- 5 Questions
4.7.1 Introduction
4.7.2 Deploy a multimodal model
4.7.3 Develop a vision-based chat app
4.7.4 Summary
Interactive Quiz/Activity- Tab: Type 1
Graded Assessment- 5 Questions
4.8.1 Introduction
4.8.2 What are image-generation models?
4.8.3 Explore image-generation models in Azure AI Foundry portal
4.8.4 Create a client application that uses an image generation model
4.8.5 Summary
Interactive Quiz/Activity- Tab: Type 2
Graded Assessment- 5 Questions
Lesson 5: Develop AI information extraction solutions in Azure
Lesson 5: Develop AI information extraction solutions in Azure
Audio book: Lesson 5: Develop AI information extraction solutions in Azure
Podcast Lesson 5: Develop AI information extraction solutions in Azure
5.1.1 Introduction
5.1.2 What is Azure AI Content Understanding?
5.1.3 Create a Content Understanding analyzer
5.1.4 Use the Content Understanding REST API
5.1.5 Summary
Interactive Quiz/Activity- True/False
Graded Assessment- 5 Questions
5.2.1 Introduction
5.2.2 Prepare to use the AI Content Understanding REST API
5.2.3 Create a Content Understanding analyzer
5.2.4 Analyze content
5.2.5 Summary
Interactive Quiz/Activity- Short Answer
Graded Assessment- 5 Questions
5.3.1 Introduction
5.3.2 Understand prebuilt models
5.3.3 Use the General Document, Read, and Layout models
5.3.4 Use financial, ID, and tax models
5.3.5 Summary
Interactive Quiz/Activity- Multiple Response
Graded Assessment- 5 Questions
5.4.1 Introduction
5.4.2 What is Azure Document Intelligence?
5.4.3 Get started with Azure Document Intelligence
5.4.4 Train custom models
5.4.5 Use Azure Document Intelligence models
5.4.6 Use the Azure Document Intelligence Studio
5.4.7 Summary
Interactive Quiz/Activity- Sequence
Graded Assessment- 5 Questions
5.5.1 Introduction
5.5.2 What is Azure AI Search?
5.5.3 Extract data with an indexer
5.5.4 Enrich extracted data with AI skills
5.5.5 Search an index
5.5.6 Persist extracted information in a knowledge store
5.5.7 Summary
Interactive Quiz/Activity- Pop-up
Graded Assessment- 5 Questions
Resources
AI-102T00 Blueprint
AI-102T00 Detailed Curriculum
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AI-102T00: Designing and Implementing a Microsoft Azure AI Solution
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