Azure AI Engineer Associate (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

• 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

• Secure Azure AI services

• Consider authentication for Azure AI services

• Manage network security for Azure AI services

• Monitor Azure AI services

• Monitor Azure AI services costs

• Create alerts and view metrics for Azure AI services

• Manage Azure AI services 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

• Analyze images

• Provision an Azure AI Vision resource

• Analyze an image

• Generate a smart-cropped thumbnail

• 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

• 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

• Read Text in images and documents with the 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

• Analyze video

• Describe Azure Video Indexer capabilities

• Extract custom insights

• Use Azure Video Indexer widgets and APIs

• Analyze text with Azure AI Language

• Detect language from text

• Analyze text sentiment

• Extract key phrases, entities, and 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

• 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

• 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

• Custom named entity recognition

• Understand tagging entities in extraction projects

• Understand how to build entity recognition projects

• Translate text with Azure AI Translator service

• Provision a 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)

• Translate speech with the Azure AI Speech service

• Provision Azure resources for speech translation

• Generate text translation from speech

• Synthesize spoken translations

• Create an Azure AI Search solution

• Develop a search application

• Create an Azure AI Search solution

• 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 knowledge store with Azure AI Search

• Create a knowledge store from an Azure AI Search pipeline

• View data in projections in 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

• 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

• 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

• 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

• Maintain an Azure AI Search solution

• Use Language Studio to enrich Azure AI Search indexes

• Enrich an AI Search index with custom classes

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

• Describe semantic ranking

• Set up semantic ranking

• Perform semantic ranking on an index

• Perform vector search and retrieval in Azure AI Search

• Describe vector search

• Describe embeddings

• Run vector search queries using the REST API

• 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

• 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

• 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

• 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

• 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

• 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

• Get started with Azure OpenAI Service

• Create an Azure OpenAI Service resource and understand types of Azure OpenAI base models

• Use the Azure AI 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

• Build natural language solutions with Azure OpenAI 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 SDKse

• 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

• 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

• Generate images with Azure OpenAI Service

• Describe the capabilities of DALL-E in the Azure OpenAI service

• Use the DALL-E playground in Azure AI Studio

• Use the Azure OpenAI REST interface to integrate DALL-E image generation into your apps

• 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

• 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

• Lab Environment Setup

• Enable Resource Providers

• Get Started with Azure AI Services

• Manage Azure AI Services Security

• Monitor Azure AI Services

• Use an Azure AI Services Container

• Analyze Text

• Translate Text

• Recognize and Synthesize Speech

• Translate Speech

• Create a language understanding model with the Azure AI Language service

• Create a Conversational Language Understanding Client Application

• Create a Question Answering Solution

• Create a Bot with the Bot Framework SDK

• Create a Bot with Bot Framework Composer

• Analyze Images with Azure AI Vision

• Analyze Video with Video Analyzer

• Classify Images with Azure AI Custom Vision

• Detect Objects in Images with Custom Vision

• Detect and Analyze Faces

• Read Text in Images

• Extract Data from Forms

• Create an Azure AI Search solution

• Create a Custom Skill for Azure AI Search

• Create a Knowledge Store with Azure AI Search