Microsoft Azure AI Bootcamp (AI-900, AI-102)

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 Azure OpenAI Service
Understand capabilities of Azure AI Search

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 Cognitive Search

Create and consume Azure AI services

Create Azure AI services resources in an Azure subscription.
Identify endpoints, keys, and locations required to consume an Azure AI services resource.
Use a REST API and an SDK to consume Azure AI services.

Provision an Azure AI services resource
Identify endpoints and keys
Use a REST API
Use an SDK

Secure Azure AI services

Consider authentication for Azure AI services
Manage network security for Azure AI services

Consider authentication
Implement network security

Monitor Azure AI services

Monitor Azure AI services costs.
Create alerts and view metrics for Azure AI services.
Manage Azure AI services diagnostic logging.

Monitor cost
Create alerts
View metrics
Manage diagnostic logging

Deploy Azure AI services in containers

Create containers for reuse
Deploy to a container and secure a container
Consume Azure AI services from a container

Understand containers
Use Azure AI services containers

Analyze images

Provision an Azure AI Vision resource
Analyze an image
Generate a smart-cropped thumbnail

Provision an Azure AI Vision resource
Analyze an image
Generate a smart-cropped thumbnail and remove background

Image classification with custom Azure AI Vision models

Create a custom Azure AI Vision classification model
Understand image classification
Understand object detection
Train an image classifier in Vision Studio

Understand custom model types
Create a custom project
Label and train a custom model

Detect, analyze, and recognize faces

Identify options for face detection, analysis, and identification.
Understand considerations for face analysis.
Detect faces with the Computer Vision service.
Understand capabilities of the Face service.
Compare and match detected faces.
Implement facial recognition.

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

Read Text in images and documents with Azure AI Vision Service

Read text from images using OCR
Use the Azure AI Vision service Image Analysis with SDKs and the REST API
Develop an application that can read printed and handwritten text

Explore Azure AI Vision options for reading text
Use the Read API

Analyze video

Describe Azure Video Indexer capabilities
Extract custom insights
Use Azure Video Indexer widgets and APIs

Understand Azure Video Indexer capabilities
Extract custom insights
Use Video Analyzer widgets and APIs

Analyze text with Azure AI Language

Detect language from text
Analyze text sentiment
Extract key phrases, entities, and linked entities

Provision an Azure AI Language resource
Detect language
Extract key phrases
Analyze sentiment
Extract entities
Extract linked entities

Create question answering solutions with Azure AI Language

Understand question answering and how it compares to language understanding.
Create, test, publish, and consume a knowledge base.
Implement multi-turn conversation and active learning.
Create a question answering bot to interact with using natural 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

Build a conversational language understanding model

Provision Azure resources for Azure AI Language resource
Define intents, utterances, and entities
Use patterns to differentiate similar utterances
Use pre-built entity components
Train, test, publish, and review an Azure AI Language 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

Create a custom text classification solution

Understand types of classification projects
Build a custom text classification project
Tag data, train, and deploy a model
Submit classification tasks from your own app

Understand types of classification projects
Understand how to build text classification projects

Custom named entity recognition

Understand tagging entities in extraction projects
Understand how to build entity recognition projects

Understand custom named entity recognition
Label your data
Train and evaluate your model

Translate text with Azure AI Translator service

Provision a Translator resource
Understand language detection, translation, and transliteration
Specify translation options
Define custom translations

Provision an Azure AI Translator resource
Understand language detection, translation, and transliteration
Specify translation options
Define custom translations

Create speech-enabled apps with Azure AI services

Provision an Azure resource for the Azure AI Speech service
Use the Azure AI Speech to text API to implement speech recognition
Use the Text to speech API to implement speech synthesis
Configure audio format and voices
Use Speech Synthesis Markup Language (SSML)

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

Translate speech with the Azure AI Speech service

Provision Azure resources for speech translation.
Generate text translation from speech.
Synthesize spoken translations.

Provision an Azure resource for speech translation
Translate speech to text
Synthesize translations

Create an Azure AI Search solution

Create an Azure AI Search solution
Develop a search application

Manage capacity
Understand search components
Understand the indexing process
Search an index
Apply filtering and sorting
Enhance the index

Create a custom skill for Azure AI Search

Implement a custom skill for Azure AI Search
Integrate a custom skill into an Azure AI Search skillset

Create a custom skill
Add a custom skill to a skillset

Create a knowledge store with Azure AI Search

Create a knowledge store from an Azure AI Search pipeline
View data in projections in a knowledge store

Define projections
Define a knowledge store

Enrich your data with Azure AI Language

Use Azure AI Language to enrich Azure AI Search indexes.
Enrich an AI Search index with custom classes.

Explore the available features of Azure AI Language
Enrich a search index in Azure AI Search with custom classes and Azure AI Language

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

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

Build an Azure Machine Learning custom skill for Azure AI Search

Understand how to use a custom Azure Machine Learning skillset.
Use Azure Machine Learning to enrich Azure AI Search indexes.

Understand how to use a custom Azure Machine Learning skillset
Enrich a search index using an Azure Machine Learning model

Search data outside the Azure platform in Azure AI Search using Azure Data Factory

Use Azure Data Factory to copy data into an Azure AI Search Index
Use the Azure AI Search push API to add to an index from any external data source

Index data from external data sources using Azure Data Factory
Index any data using the Azure AI Search push API

Maintain an Azure AI Search solution

Use Language Studio to enrich Azure AI Search indexes
Enrich an AI Search index with custom classes

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

Perform search re-ranking with semantic ranking in Azure AI Search

Describe semantic ranking
Set up semantic ranking
Perform semantic ranking on an index

What is semantic ranking?
Set up semantic ranking

Perform vector search and retrieval in Azure AI Search

Describe vector search
Describe embeddings
Run vector search queries using the REST API

What is vector search?
Prepare your search
Understand embedding

Plan an Azure AI Document Intelligence solution

Describe the components of an Azure AI Document Intelligence solution.
Create and connect to Azure AI Document Intelligence resources in Azure.
Choose whether to use a prebuilt, custom, or composed model.

Understand AI Document Intelligence
Plan Azure AI Document Intelligence resources
Choose a model type

Use prebuilt Document intelligence models

Identify business problems that you can solve by using prebuilt models in Forms Analyzer.
Analyze forms by using the General Document, Read, and Layout models.
Analyze forms by using financial, ID, and tax prebuilt models.

Understand prebuilt models
Use the General Document, Read, and Layout models
Use financial, ID, and tax models

Extract data from forms with Azure Document intelligence

Identify how Document intelligence’s layout service, prebuilt models, and custom models can automate processes.
Use Document intelligence’s capabilities with SDKs, REST API, and Document Intelligence Studio.
Develop and test custom models.

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

Create a composed Document intelligence model

Describe business problems that you would use custom models and composed models to solve.
Train a custom model to obtain data from forms with unusual structures.
Create a composed model that can analyze forms in multiple formats.

Understand composed models
Assemble composed models

Build a Document intelligence custom skill for Azure AI search

Describe how a custom skill can enrich content passed through an Azure AI Search pipeline.
Build a custom skill that calls an Azure Forms Analyzer solution to obtain data from forms.

Understand Azure AI Search enrichment pipelines
Build an Azure AI Document Intelligence custom skill

Get started with Azure OpenAI Service

Create an Azure OpenAI Service resource and understand types of Azure OpenAI base models.
Use the Azure OpenAI Studio, console, or REST API to deploy a base model and test it in the Studio’s playgrounds.
Generate completions to prompts and begin to manage model parameters.

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

Build natural language solutions with Azure Open AI Service

Integrate Azure OpenAI into your application
Differentiate between different endpoints available to your application
Generate completions to prompts using the REST API and language specific SDKs

Integrate Azure OpenAI into your app
Use Azure OpenAI REST API
Use Azure OpenAI SDK

Apply prompt engineering with Azure OpenAI Service

Understand the concept of prompt engineering and its role in optimizing Azure OpenAI models’ performance.
Know how to design and optimize prompts to better utilize AI models.
Include clear instructions, request output composition, and use contextual content to improve the quality of the model’s responses.

Understand prompt engineering
Write more effective prompts
Provide context to improve accuracy

Generate code with Azure OpenAI Service

Use natural language prompts to write code
Build unit tests and understand complex code with AI models
Generate comments and documentation for existing code

Construct code from natural language
Complete code and assist the development process
Fix bugs and improve your code

Generate images with Azure OpenAI Service

Describe the capabilities of DALL-E in the Azure openAI service
Use the DALL-E playground in Azure OpenAI Studio
Use the Azure OpenAI REST interface to integrate DALL-E image generation into your apps

What is DALL-E?
Explore DALL-E in Azure OpenAI Studio
Use the Azure OpenAI REST API to consume DALL-E models

Implement Retrieval Augmented Generation (RAG) with Azure OpenAI Service

Describe the capabilities of Azure OpenAI on your data
Configure Azure OpenAI to use your own data
Use Azure OpenAI API to generate responses based on your own data

Understand Retrieval Augmented Generation (RAG) with Azure OpenAI Service
Add your own data source
Chat with your model using your own data

Fundamentals of Responsible Generative AI

Describe an overall process for responsible generative AI solution development
Identify and prioritize potential harms relevant to a generative AI solution
Measure the presence of harms in a generative AI solution
Mitigate harms in a generative AI solution
Prepare to deploy and operate a generative AI solution responsibly

Plan a responsible generative AI solution
Identify potential harms
Measure potential harms
Mitigate potential harms
Operate a responsible generative AI solution