Microsoft Azure AI Fundamentals

Live online events

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.

  • 04
    Mar
    1 day, Mon 8:00 AM CST - Mon 4:00 PM CST
    Online
    • $695.00 excl. GST + PST (SK)
    Registration closed
  • 14
    Jun
    1 day, Fri 8:00 AM CST - Fri 4:00 PM CST
    Online
    • Group Rates Apply (6 or more) $668.59 excl. GST + PST (SK)
    • $695.00 excl. GST + PST (SK)
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Description

Agenda

1 - Get started with AI on Azure

  • Understand machine learning
  • Understand anomaly detection
  • Understand computer vision
  • Understand natural language processing
  • Understand knowledge mining
  • Challenges and risks with AI
  • Understand Responsible AI

2 - Use Automated Machine Learning in Azure Machine Learning

  • What is machine learning?
  • What is Azure Machine Learning studio?
  • What is Azure Automated Machine Learning?
  • Understand the AutoML process

3 - Create a regression model with Azure Machine Learning designer

  • Identify regression machine learning scenarios
  • What is Azure Machine Learning?
  • What is Azure Machine Learning designer?
  • Understand steps for regression

4 - Create a classification model with Azure Machine Learning designer

  • Identify classification machine learning scenarios
  • What is Azure Machine Learning?
  • What is Azure Machine Learning designer?
  • Understand steps for classification

5 - Create a clustering model with Azure Machine Learning designer

  • Identify clustering machine learning scenarios
  • What is Azure Machine Learning?
  • What is Azure Machine Learning designer?
  • Understand steps for clustering

6 - Analyze images with Azure AI Vision

  • Get started with image analysis on Azure

7 - Classify images with Azure AI Custom Vision

  • Understand classification
  • Get started with image classification on Azure

8 - Detect objects in images with Azure AI Custom Vision

  • What is object detection?
  • Get started with object detection on Azure

9 - Detect and analyze faces with Azure AI Face

  • Get started with Face analysis on Azure

10 - Read text with Azure AI Computer Vision

  • Get started with the Read API on Azure

11 - Analyze receipts with Azure AI Document Intelligence

  • Get started with receipt analysis on Azure

12 - Analyze text with Azure AI Language

  • Get started with text analysis

13 - Recognize and synthesize speech with Azure AI Speech

  • Get started with speech on Azure

14 - Translate text and speech with Azure AI services

  • Get started with translation in Azure

15 - Create a language model with Azure AI Language

  • Get started with conversational language understanding

16 - Build a bot with Azure AI Language and Azure AI Bot Service

  • Get started with the Language service and Azure Bot Service

Prerequisites

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.

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 experience