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Designing and Implementing a Microsoft Azure AI Solution (AI-102T00)
Duration
4 Days
Course
MOC-AI-102T00
Available Formats
Classroom Training, Online Training
Course Description
Overview
AI-102 Designing and Implementing an Azure AI Solution is intended for software developers wanting to build AI infused applications that leverage Azure AI Services, Azure AI Search, and Azure OpenAI. The course will use C# or Python as the programming language.Objectives
Students will learn to,
- Describe considerations for AI-enabled application development
- Create, configure, deploy, and secure Azure Cognitive Services
- Develop applications that analyze text
- Develop speech-enabled applications
- Create applications with natural language understanding capabilities
- Create QnA applications
- Create conversational solutions with bots
- Use computer vision services to analyze images and videos
- Create custom computer vision models
- Develop applications that detect, analyze, and recognize faces
- Develop applications that read and process text in images and documents
- Create intelligent search solutions for knowledge mining
Audience
Software engineers concerned with building, managing and deploying AI solutions that leverage Azure AI Services, Azure AI Search, and Azure OpenAI. They are familiar with C# or Python and have knowledge on using REST-based APIs to build computer vision, language analysis, knowledge mining, intelligent search, and generative AI solutions on Azure.
Topics
- Prepare to develop AI solutions on Azure
- Introduction
- Define artificial intelligence
- Understand AI-related terms
- Understand considerations for AI Engineers
- Understand considerations for responsible AI
- Understand capabilities of Azure Machine Learning
- Understand capabilities of Azure AI Services
- Understand capabilities of the Azure Bot Service
- Understand capabilities of Azure Cognitive Search
- Knowledge check
- Create and consume Azure AI services
- Introduction
- Provision an Azure AI services resource
- Identify endpoints and keys
- Use a REST API
- Use an SDK
- Exercise - Use Azure AI services
- Knowledge check
- Secure Azure AI services
- Introduction
- Consider authentication
- Implement network security
- Exercise - Manage Azure AI Services Security
- Knowledge check
- Monitor Azure AI services
- Introduction
- Monitor cost
- Create alerts
- View metrics
- Manage diagnostic logging
- Exercise - Monitor Azure AI services
- Knowledge check
- Deploy Azure AI services in containers
- Introduction
- Understand containers
- Use Azure AI services containers
- Exercise - Use a container
- Knowledge check
- Analyze images
- Introduction
- Provision an Azure AI Vision resource
- Analyze an image
- Generate a smart-cropped thumbnail
- Exercise - Analyze images with Azure AI Vision
- Knowledge check
- Image classification with custom Azure AI Vision models
- Introduction
- Understand custom model types
- Create a custom project
- Label and train a custom model
- Exercise - Classify images with an Azure AI Vision custom model
- Detect, analyze, and recognize faces
- Introduction
- Identify options for face detection analysis and identification
- Understand considerations for face analysis
- Detect faces with the Azure AI Vision service
- Understand capabilities of the face service
- Compare and match detected faces
- Implement facial recognition
- Exercise - Detect, analyze, and identify faces
- Knowledge check
- Read Text in images and documents with the Azure AI Vision Service
- Introduction
- Explore Azure AI Vision options for reading text
- Use the Read API
- Exercise - Read text in images
- Knowledge Check
- Analyze video
- Introduction
- Understand Azure Video Indexer capabilities
- Extract custom insights
- Use Video Analyzer widgets and APIs
- Exercise - Analyze video
- Knowledge check
- Analyze text with Azure AI Language
- Introduction
- Provision an Azure AI Language resource
- Detect language
- Extract key phrases
- Analyze sentiment
- Extract entities
- Extract linked entities
- Exercise - Analyze text
- Knowledge check
- Create question answering solutions with Azure AI Language
- Introduction
- 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
- Exercise - Create a question answering solution
- Build a conversational language understanding model
- Introduction
- 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
- Exercise - Build an Azure AI services conversational language understanding model
- Knowledge check
- Create a custom text classification solution
- Introduction
- Understand types of classification projects
- Understand how to build text classification projects
- Exercise - Classify text
- Knowledge check
- Custom named entity recognition
- Introduction
- Understand custom named entity recognition
- Label your data
- Train and evaluate your model
- Exercise - Extract custom entities
- Knowledge check
- Translate text with Azure AI Translator service
- Introduction
- Provision an Azure AI Translator resource
- Understand language detection, translation, and transliteration
- Specify translation options
- Define custom translations
- Exercise - Translate text with the Azure AI Translator service
- Knowledge check
- Create speech-enabled apps with Azure AI services
- Introduction
- 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
- Exercise - Create a speech-enabled app
- Knowledge check
- Translate speech with the Azure AI Speech service
- Introduction
- Provision an Azure resource for speech translation
- Translate speech to text
- Synthesize translations
- Exercise - Translate speech
- Knowledge check
- Create an Azure AI Search solution
- Introduction
- Manage capacity
- Understand search components
- Understand the indexing process
- Search an index
- Apply filtering and sorting
- Enhance the index
- Exercise - Create a search solution
- Knowledge check
- Create a custom skill for Azure AI Search
- Introduction
- Create a custom skill
- Add a custom skill to a skillset
- Exercise - Implement a custom skill
- Knowledge check
- Create a knowledge store with Azure AI Search
- Introduction
- Define projections
- Define a knowledge store
- Exercise - Create a knowledge store
- Knowledge check
- Enrich your data with Azure AI Language
- Introduction
- Explore the available features of Azure AI Language
- Enrich a search index in Azure AI Search with custom classes and Azure AI Language
- Exercise: Enrich a search index in Azure AI Search with custom classes
- Knowledge check
- Implement advanced search features in Azure AI Search
- Introduction
- Improve the ranking of a document with term boosting
- Improve the relevance of results by adding scoring profiles
- Improve an index with analyzers and tokenized terms
- Enhance an index to include multiple languages
- Improve search experience by ordering results by distance from a given reference point
- Exercise: Implement enhancements to search results
- Knowledge check
- Build an Azure Machine Learning custom skill for Azure AI Search
- Introduction
- Understand how to use a custom Azure Machine Learning skillset
- Enrich a search index using an Azure Machine Learning model
- Exercise: Enrich a search index using Azure Machine Learning model
- Knowledge check
- Search data outside the Azure platform in Azure AI Search using Azure Data Factory
- Introduction
- Index data from external data sources using Azure Data Factory
- Index any data using the Azure AI Search push API
- Exercise: Add to an index using the push API
- Knowledge check
- Maintain an Azure AI Search solution
- Introduction
- Manage security of an Azure AI Search solution
- Optimize performance of an Azure AI Search solution
- Manage costs of an Azure AI Search solution
- Improve reliability of an Azure AI Search solution
- Monitor an Azure AI Search solution
- Debug search issues using the Azure portal
- Exercise - Debug search issues
- Perform search reranking with semantic ranking in Azure AI Search
- Introduction
- What is semantic ranking?
- Set up semantic ranking
- Exercise - Use semantic ranking on an index
- Knowledge check
- Perform vector search and retrieval in Azure AI Search
- Introduction
- What is vector search?
- Prepare your search
- Understand embedding
- Exercise - Use the REST API to run vector search queries
- Knowledge check
- Plan an Azure AI Document Intelligence solution
- Introduction
- Understand AI Document Intelligence
- Plan Azure AI Document Intelligence resources
- Choose a model type
- Knowledge check
- Use prebuilt Azure AI Document Intelligence models
- Introduction
- Understand prebuilt models
- Use the General Document, Read, and Layout models
- Use financial, ID, and tax models
- Exercise - Analyze a document using Azure AI Document Intelligence
- Knowledge check
- Extract data from forms with Azure Document Intelligence
- Introduction
- 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
- Exercise - Extract data from custom forms
- Knowledge check
- Create a composed Document intelligence model
- Introduction
- Understand composed models
- Assemble composed models
- Exercise: Create a composed model
- Knowledge check
- Build a Document intelligence custom skill for Azure AI search
- Introduction
- Understand Azure AI Search enrichment pipelines
- Build an Azure AI Document Intelligence custom skill
- Exercise: Build and deploy an Azure AI Document Intelligence custom skill
- Knowledge check
- Get started with Azure OpenAI Service
- Introduction
- Access Azure OpenAI Service
- Use Azure OpenAI Studio
- Explore types of generative AI models
- Deploy generative AI models
- Use prompts to get completions from models
- Test models in Azure OpenAI Studio's playgrounds
- Exercise - Get started with Azure OpenAI Service
- Knowledge check
- Build natural language solutions with Azure OpenAI Service
- Introduction
- Integrate Azure OpenAI into your app
- Use Azure OpenAI REST API
- Use Azure OpenAI SDK
- Exercise - Integrate Azure OpenAI into your app
- Knowledge check
- Apply prompt engineering with Azure OpenAI Service
- Introduction
- Understand prompt engineering
- Write more effective prompts
- Provide context to improve accuracy
- Exercise - Utilize prompt engineering in your application
- Knowledge check
- Generate code with Azure OpenAI Service
- Introduction
- Construct code from natural language
- Complete code and assist the development process
- Fix bugs and improve your code
- Exercise - Generate and improve code with Azure OpenAI Service
- Knowledge check
- Generate images with Azure OpenAI Service
- Introduction
- What is DALL-E?
- Explore DALL-E in Azure OpenAI Studio
- Use the Azure OpenAI REST API to consume DALL-E models
- Exercise - Generate images with a DALL-E model
- Knowledge check
- Implement Retrieval Augmented Generation (RAG) with Azure OpenAI Service
- Introduction
- Understand Retrieval Augmented Generation (RAG) with Azure OpenAI Service
- Add your own data source
- Chat with your model using your own data
- Exercise - Add your data for RAG with Azure OpenAI Service
- Knowledge check
- Fundamentals of Responsible Generative AI
- Introduction
- Plan a responsible generative AI solution
- Identify potential harms
- Measure potential harms
- Mitigate potential harms
- Operate a responsible generative AI solution
- Exercise - Explore content filters in Azure OpenAI
- Knowledge check
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