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Microsoft AI Bootcamp for Educators - Designing and Implementing a Microsoft Azure AI Solution

The Microsoft Artificial Intelligence (AI) Bootcamp for Educators is designed to provide educators and faculty from higher-education institutions, technical colleges, and other post-secondary...

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Course Code MSLEAIBOOTCAMPARB
Duration 1 day
Available Formats Classroom

The Microsoft Artificial Intelligence (AI) Bootcamp for Educators is designed to provide educators and faculty from higher-education institutions, technical colleges, and other post-secondary institutions with the knowledge and skills to include AI-related training in their courses and programs of study. The AI Bootcamp for Educators trains educators and faculty on how to best deliver the AI-102: Microsoft AI Bootcamp for Educators - Designing and Implementing a Microsoft Azure AI Solution course to enhance or develop an AI training program to empower students with the job skills needed to succeed in an AI-driven job market and provides an overview of the Microsoft Learn for Educators (MSLE) program, benefits, resources, content related to AI, and how to join.

Course Details

Outline

  • Prepare to develop AI solutions on Azure
    • 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 OpenAI Service
    • Understand capabilities of Azure AI Search
    • Knowledge check
  • Create and consume Azure AI services
    • 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
    • Consider authentication
    • Implement network security
    • Exercise - Manage Azure AI Services Security
    • Knowledge check
  • Monitor Azure AI services
    • Monitor cost
    • Create alerts
    • View metrics
    • Manage diagnostic logging
    • Exercise - Monitor Azure AI services
    • Knowledge check
  • Deploy Azure AI services in containers
    • Understand containers
    • Use Azure AI services containers
    • Exercise - Use a container
    • Knowledge check
  • Use AI responsibly with Azure AI Content Safety
    • What is Content Safety
    • How does Azure AI Content Safety work?
    • When to use Azure AI Content Safety
    • Exercise - Implementing Azure AI Content Safety
    • Knowledge check
  • Analyze images
    • Provision an Azure AI Vision resource
    • Analyze an image
    • Generate a smart-cropped thumbnail and remove background
    • Exercise - Analyze images with Azure AI Vision
    • Knowledge check
  • Classify images
    • Provision Azure resources for Azure AI Custom Vision
    • Understand image classification
    • Train an image classifier
    • Exercise - Classify images with Azure AI Custom Vision
    • Knowledge check
  • Detect objects in images
    • Understand object detection
    • Train an object detector
    • Consider options for labeling images
    • Exercise - Detect objects in images with Azure AI Custom Vision
    • Knowledge check
  • Detect, analyze, and recognize faces
    • 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
    • Explore Azure AI Vision options for reading text
    • Use the Read API
    • Exercise - Read text in images
  • Analyze video
    • 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
    • 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
    • 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
    • Knowledge check
  • Build a conversational language understanding model
    • 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
    • Understand types of classification projects
    • Understand how to build text classification projects
    • Exercise - Classify text
    • Knowledge check
  • Custom named entity recognition
    • 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
    • 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
    • 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
    • Provision an Azure resource for speech translation
    • Translate speech to text
    • Synthesize translations
    • Exercise - Translate speech
    • Knowledge check
  • Create an Azure AI Search solution
    • 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
    • Define the custom skill schema
    • Add a custom skill
    • Custom text classification skill
    • Machine learning custom skill
    • Exercise - Create a Custom Skill for Azure AI Search
    • Knowledge check
  • Create a knowledge store with Azure AI Search
    • Define projections
    • Define a knowledge store
    • Exercise - Create a knowledge store
    • Knowledge check
  • Implement advanced search features in Azure AI Search
    • 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
  • Search data outside the Azure platform in Azure AI Search using Azure Data Factory
    • 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
    • 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
    • Knowledge check
  • Perform search reranking with semantic ranking in Azure AI Search
    • 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
    • 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
    • Understand AI Document Intelligence
    • Plan Azure AI Document Intelligence resources
    • Choose a model type
    • Knowledge check
  • Use prebuilt Document intelligence models
    • 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
    • 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
    • Understand composed models
    • Assemble composed models
    • Exercise: Create a composed model
    • Knowledge check
  • Develop applications with Azure OpenAI Service
    • Access Azure OpenAI Service
    • Integrate OpenAI into an app
    • OpenAI prompt engineering
    • Provide context with prompt engineering
    • Construct code from natural language
    • Exercise - Get started with Azure OpenAI Service
    • Knowledge check
  • Implement Retrieval Augmented Generation (RAG) with Azure OpenAI Service
    • 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
  • Generate images with Azure OpenAI Service
    • What is DALL-E?
    • Explore DALL-E in Azure AI Studio
    • Use the Azure OpenAI REST API to consume DALL-E models
    • Exercise - Generate images with a DALL-E model
    • Knowledge check
  • Introduction to Microsoft Learn for Educators program
    • Evaluate Microsoft Learn for Educators, and why join?
    • Examine what is included in Microsoft Learn for Educators
    • Define the resources and benefits for my students
    • Demonstrate how to join Microsoft Learn for Educators
    • Knowledge check