Microsoft: Azure AI Engineer Associate (AI-102)

Plan and manage an Azure AI solution (15–20%)
Select the appropriate Azure AI service
Select the appropriate service for a computer vision solution

Select the appropriate service for a natural language processing solution

Select the appropriate service for a decision support solution

Select the appropriate service for a speech solution

Select the appropriate service for a generative AI solution

Select the appropriate service for a document intelligence solution

Select the appropriate service for a knowledge mining solution

Plan, create and deploy an Azure AI service
Plan for a solution that meets Responsible AI principles

Create an Azure AI resource

Determine a default endpoint for a service

Integrate Azure AI services into a continuous integration and continuous delivery (CI/CD) pipeline

Plan and implement a container deployment

Manage, monitor and secure an Azure AI service
Configure diagnostic logging

Monitor an Azure AI resource

Manage costs for Azure AI services

Manage account keys

Protect account keys by using Azure Key Vault

Manage authentication for an Azure AI Service resource

Manage private communications

Implement decision support solutions (10–15%)
Create decision support solutions for data monitoring and anomaly detection
Implement a univariate anomaly detection solution with Azure AI Anomaly Detector

Implement a multivariate anomaly detection solution Azure AI Anomaly Detector

Implement a data monitoring solution with Azure AI Metrics Advisor

Create decision support solutions for content delivery
Implement a text moderation solution with Azure AI Content Safety

Implement an image moderation solution with Azure AI Content Safety

Implement a content personalization solution with Azure AI Personalizer

Implement computer vision solutions (15–20%)
Analyze images
Select visual features to meet image processing requirements

Detect objects in images and generate image tags

Include image analysis features in an image processing request

Interpret image processing responses

Extract text from images using Azure AI Vision

Convert handwritten text using Azure AI Vision

Implement custom computer vision models by using Azure AI Vision
Choose between image classification and object detection models

Label images

Train a custom image model, including image classification and object detection

Evaluate custom vision model metrics

Publish a custom vision model

Consume a custom vision model

Analyze videos
Use Azure AI Video Indexer to extract insights from a video or live stream

Use Azure AI Vision Spatial Analysis to detect presence and movement of people in video

Implement natural language processing solutions (30–35%)
Analyze text by using Azure AI Language
Extract key phrases

Extract entities

Determine sentiment of text

Detect the language used in text

Detect personally identifiable information (PII) in text

Process speech by using Azure AI Speech
Implement text-to-speech

Implement speech-to-text

Improve text-to-speech by using Speech Synthesis Markup Language (SSML)

Implement custom speech solutions

Implement intent recognition

Implement keyword recognition

Translate language
Translate text and documents by using the Azure AI Translator service

Implement custom translation, including training, improving, and publishing a custom model

Translate speech-to-speech by using the Azure AI Speech service

Translate speech-to-text by using the Azure AI Speech service

Translate to multiple languages simultaneously

Implement and manage a language understanding model by using Azure AI Language
Create intents and add utterances

Create entities

Train, evaluate, deploy, and test a language understanding model

Optimize a language understanding model

Consume a language model from a client application

Backup and recover language understanding models

Create a question answering solution by using Azure AI Language
Create a question answering project

Add question-and-answer pairs manually

Import sources

Train and test a knowledge base

Publish a knowledge base

Create a multi-turn conversation

Add alternate phrasing

Add chit-chat to a knowledge base

Export a knowledge base

Create a multi-language question answering solution

Implement knowledge mining and document intelligence solutions (10–15%)
Implement an Azure Cognitive Search solution
Provision a Cognitive Search resource

Create data sources

Create an index

Define a skillset

Implement custom skills and include them in a skillset

Create and run an indexer

Query an index, including syntax, sorting, filtering, and wildcards

Manage Knowledge Store projections, including file, object, and table projections

Implement an Azure AI Document Intelligence solution
Provision a Document Intelligence resource

Use prebuilt models to extract data from documents

Implement a custom document intelligence model

Train, test, and publish a custom document intelligence model

Create a composed document intelligence model

Implement a document intelligence model as a custom Azure Cognitive Search skill

Implement generative AI solutions (10–15%)
Use Azure OpenAI Service to generate content
Provision an Azure OpenAI Service resource

Select and deploy an Azure OpenAI model

Submit prompts to generate natural language

Submit prompts to generate code

Use the DALL-E model to generate images

Use Azure OpenAI APIs to submit prompts and receive responses

Optimize generative AI
Configure parameters to control generative behavior

Apply prompt engineering techniques to improve responses

Use your own data with an Azure OpenAI model

Fine-tune an Azure OpenAI model