Microsoft Learn: Get started with AI on Azure
Azure Machine Learning designer
A graphical interface enabling no-code development of machine learning solutions
Inclusiveness
A predictive app provides audio output for visually impaired users. Which principle of Responsible AI is reflected here?
Data and compute management
Cloud-based data storage and compute resources that professional data scientists can use to run data experiment code at scale
Pipelines
Data scientists, software engineers, and IT operations professionals can define pipelines to orchestrate model training, deployment, and management tasks
Natural language processing
The capability for a computer to interpret written or spoken language, and respond in kind
Computer vision
The capability of software to interpret the world visually through cameras, video, and images
Anomaly detection
The capability to automatically detect errors or unusual activity in a system
Knowledge mining
The capability to extract information from large volumes of often unstructured data to create a searchable knowledge store
Automated machine learning
This feature enables non-experts to quickly create an effective machine learning model from data
Machine learning
This is often the foundation for an AI system, and is the way we "teach" a computer model to make predictions and draw conclusions from data
Computer Vision
You are designing an AI application that uses images to detect cracks in car windshields and warn drivers when a windshield should be repaired or replaced. What AI workload is described?
Azure Machine Learning
You want to create a model to predict sales of ice cream based on historic data that includes daily ice cream sales totals and weather measurements. Which Azure service should you use?
Azure Machine Learning service
a cloud-based platform for creating, managing, and publishing machine learning models
Azure Cognitive Search
a private, enterprise, search solution that has tools for building indexes; indexes can then be used for internal only use, or to enable searchable content on public facing internet assets; can utilize the built-in AI capabilities of Azure AI services such as image processing, content extraction, and natural language processing to perform knowledge mining of documents
Face detection, analysis, and recognition
a specialized form of object detection that locates human faces in an image; can be combined with classification and facial geometry analysis techniques to recognize individuals based on their facial features
Optical character recognition (OCR)
a technique used to detect and read text in images
Azure AI Language
access features for understanding and analyzing text, training language models that can understand spoken or text-based commands, and building intelligent applications
Semantic segmentation
an advanced machine learning technique in which individual pixels in the image are classified according to the object to which they belong
Azure AI Vision
analyze images and video, and extract descriptions, tags, objects, and text
Image analysis
create solutions that combine machine learning models with advanced image analysis techniques to extract information from images, including "tags" that could help catalog the image or even descriptive captions that summarize the scene shown in the image
Azure AI Face
enables you to build face detection and facial recognition solutions
Azure AI Document Intelligence
extract information from scanned forms and documents
Image classification
involves training a machine learning model to classify images based on their contents
Object detection
models are trained to classify individual objects within an image, and identify their location with a bounding box
Azure AI Bot Service
provides a platform for conversational AI, the capability of a software "agent" to participate in a conversation; Developers can use the Bot Framework to create a bot and manage it with this - integrating back-end services like Language, and connecting to channels for web chat, email, Microsoft Teams, and others
Azure AI Speech
recognize and synthesize speech, and to translate spoken languages
Natural language processing (NLP)
the area of AI that deals with creating software that understands written and spoken language
Azure AI Custom Vision
train custom image classification and object detection models using your own images
Azure AI Translator
translate text between more than 60 languages