AI on Azure Cloud
The course introduces the fundamental concepts relating to artificial intelligence (AI) and the services offered by Microsoft Azure for the creation of AI solutions. This course does not aim to train students as professional data scientists or software developers, but rather to provide them with an understanding of common workloads in AI and the ability to identify the Azure services available to support them.
CODE: DSAI110
Category: Artificial Intelligence Course
DESCRIPTION
COURSE CONTENT
COURSE OBJECTIVES
ADDITIONAL INFORMATION
DESCRIPTION
Teaching methodology
The course includes educational laboratories in which each student will be able to carry out training exercises that will provide practical experience in the use of the tool, for each of the topics covered during the course.Prerequisites
- Basic knowledge of IT and cloud computing.
- Familiar with the concepts of artificial intelligence and machine learning.
- Basic experience with command line and Linux system administration.
COURSE CONTENT
Below is an overview of the course contents:
- Introduction to artificial intelligence and its applications: This module provides a comprehensive overview of artificial intelligence (AI), including its fundamental concepts, its practical applications and its impact on different industrial sectors.
- Overview of the AI ​​services offered by Microsoft Azure: In this section, students will explore the various AI services and tools provided by Microsoft Azure, understanding their features, capabilities, and their applications in real scenarios.
- Using Azure Machine Learning to develop and deploy machine learning models: Here students will learn how to use Azure Machine Learning, a cloud platform from Microsoft, for development, training and deploying machine learning models in an efficient and scalable manner.
- Using the Azure Vision AI service for image processing: This module focuses on using the Azure Vision AI service for image analysis and processing, including classification, object detection and optical character recognition (OCR).
- Using Azure Search AI service to extract critical insights from data: In this section, students will explore Azure Search AI service, which allows you to perform advanced searches and extract meaningful insights from large volumes of unstructured data, such as text and documents.
COURSE OBJECTIVES
At the end of the course, participants will be able to:
- Understand the fundamental concepts of artificial intelligence and its practical applications.
- Identify the artificial intelligence services available on Microsoft Azure.
- Use Azure tools to develop, test, and deploy machine learning models.
- Understand knowledge mining concepts.
- Integrate pre-built AI services into your applications using Azure AI.
ADDITIONAL INFORMATION
Duration – 1 day
Delivery – in the classroom, on site, remotely
PC and SW requirements:
- Internet connection
- Web browser, Google Chrome
- Zoom
- Instructor: Italian
- Laboratories: English
- Slides: English
ARTIFICIAL INTELLIGENCE COURSE CATALOG
ARTIFICIAL INTELLIGENCE COURSE CATALOG
