Overview
This course introduces fundamentals concepts related to artificial intelligence (AI), and the services in Microsoft Azure that can be used to create AI solutions. The course is not designed to teach students to become professional data scientists or software developers, but rather to build awareness of common AI workloads and the ability to identify Azure services to support them.
The course is designed as a blended learning experience that combines instructor-led training with online materials on the Microsoft Learn platform (https://azure.com/learn). The hands-on exercises in the course are based on Learn modules, and students are encouraged to use the content on Learn as reference materials to reinforce what they learn in the class and to explore topics in more depth.
Prerequisites
Prerequisite certification is not required before taking this course. Successful Azure AI Fundamental students start with some basic awareness of computing and internet concepts, and an interest in using Azure AI services.
Specifically:
- Experience using computers and the internet.
- Interest in use cases for AI applications and machine learning models.
- A willingness to learn through hands-on exploration.
Who Should Attend?
The Azure AI Fundamentals course is designed for anyone interested in learning about the types of solution artificial intelligence (AI) makes possible, and the services on Microsoft Azure that you can use to create them. You don’t need to have any experience of using Microsoft Azure before taking this course, but a basic level of familiarity with computer technology and the Internet is assumed. Some of the concepts covered in the course require a basic understanding of mathematics, such as the ability to interpret charts. The course includes hands-on activities that involve working with data and running code, so a knowledge of fundamental programming principles will be helpful.
Course Duration
1 Day
Course Outline
- Learn about the kinds of solution AI can make possible and considerations for responsible AI practices
- Learn how to train and publish a regression model with Azure Machine Learning designer
- Learn how to use automated machine learning user interface in Azure Machine Learning
- Train and publish a classification model with Azure Machine Learning designer
- Train and publish a clustering model with Azure Machine Learning designer
- Learn how to use the Computer Vision cognitive service to analyze images
- Learn how to use the Custom Vision service to create an image classification solution
- Learn how to use the Custom Vision service to create an object detection solution
- Learn how to read text in images with the Computer Vision service
- Learn how to read text in images with the Computer Vision service
- Learn how to use built-in receipt processing capabilities of the Form Recognizer service
- Learn how to use the Language service for text analysis
- Learn about speech recognition and synthesis
- Learn how to use the Speech cognitive service in Azure
- Perform text and speech translate using Azure Cognitive Services
- Learn what Conversational Language Understanding is
- Learn about key features, such as intents and utterances
- Build and publish a natural-language machine-learning model
- Create knowledge base with an Azure Bot Service bot
