Course AI-900: Microsoft Azure AI Fundamentals

Prihajajoče izvedbe

Nivo:For IT professionals
Predavatelji:Dejan Tomić
Prodajalec:Microsoft
Kategorija prodajalca:Microsoft Cloud Platform
Teme:Developer, Virtualization
Trajanje (dni):1
Ur/dan:8
Tip učenja:V učilnici in/ali preko spleta
Cena:390€ + DDV

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.

Audience Profile

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 outline

Learning Path 1: Introduction to Artificial Intelligence

In this learning path, you'll learn about common uses of artificial intelligence (AI), and the different types of workload associated with AI. You'll then explore considerations and principles for responsible AI development.

Modules

  • Introduction to Artificial Intelligence
  • Artificial Intelligence in Microsoft Azure

Lab:

  • Explore Cognitive Services
  • After completing this learning path you will be able to:
  • Describe Artificial Intelligence workloads and considerations

 

Learning Path 2: Machine Learning

Machine learning is the foundation for modern AI solutions. In this learning path, you'll learn about some fundamental machine learning concepts, and how to use the Azure Machine Learning service to create and publish machine learning models.

Modules

  • Introduction to Machine Learning
  • Azure Machine Learning

Lab:

  • Explore Automated Machine Learning in Azure ML
  • After completing this learning path you will be able to:
  • Describe fundamental principles of machine learning on Azure

 

Learning Path 3: Computer Vision

Computer vision is the area of AI that deals with understanding the world visually, through images, video files, and cameras. In this learning path you'll explore multiple computer vision techniques and services.

Modules

  • Computer Vision Concepts
  • Computer Vision solutions in Azure

Lab:

  • Explore Computer Vision
  • After completing this learning path you will be able to:
  • Describe features of computer vision workloads on Azure

 

Learning Path 4: Natural Language Processing

This learning path describes scenarios for AI solutions that can process written and spoken language. You'll learn about Azure services that can be used to build solutions that analyze text, recognize and synthesize speech, translate between languages, and interpret commands.

Module

  • Introduction to Natural Language Processing
  • Building Natural Language Solutions in Azure

Lab:

  • Explore text analytics
  • After completing this learning path you will be able to:
  • Describe features of Natural Language Processing (NLP) workloads on Azure

 

 

Skills gained:

  • Describe Artificial Intelligence workloads and considerations
  • Describe fundamental principles of machine learning on Azure
  • Describe features of computer vision workloads on Azure
  • Describe features of Natural Language Processing (NLP) workloads on Azure
  • Describe features of conversational AI workloads on Azure

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.
V angleščini Web+učilnica Potrjeno

4. april 2024 - 4. april 2024

  • Cena: 390€ + DDV
Pokaži urnik

Za več informacij nas kontaktirajte na telefonsko številko: 01 568 40 40 ali trzenje@housing.si.