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Course objectives

Artificial Intelligence (AI) will define the next generation of software solutions and unlock the potential of creating amazing applications that improve lives for everyone. This course covers Microsoft’s AI solution development services.

Benefits

After completing this course, students will be able to:

  • 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

This course is directly mapped to and supports learning for the AI-900 Microsoft Azure AI Fundamentals certification exam.

Training scope

This module provides a high-level introduction to the course.

Module 1: Introduction to AI

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.

Module 2: Machine Learning

Fundamental machine learning concepts, and how to use the Azure Machine Learning service to create and publish machine learning models.

Module 3: Computer Vision

Explore multiple computer vision techniques and services

Module 4: Natural Language Processing

Azure services that can be used to build solutions that analyze text, recognize and synthesize speech, translate between languages, and interpret commands.

Module 5: Conversational AI

Basic principles for working with bots and gives you an opportunity to create a bot that can respond intelligently to user questions.

Audience

Anyone interested in learning about the types of solutions AI makes possible and the AI services on Microsoft Azure.

Course objectives

Artificial Intelligence (AI) will define the next generation of software solutions and unlock the potential of creating amazing applications that improve lives for everyone. This course covers Microsoft’s AI solution development services.

Benefits

After completing this course, students will be able to:

  • 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

This course is directly mapped to and supports learning for the AI-900 Microsoft Azure AI Fundamentals certification exam.

Training scope

This module provides a high-level introduction to the course.

Module 1: Introduction to AI

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.

Module 2: Machine Learning

Fundamental machine learning concepts, and how to use the Azure Machine Learning service to create and publish machine learning models.

Module 3: Computer Vision

Explore multiple computer vision techniques and services

Module 4: Natural Language Processing

Azure services that can be used to build solutions that analyze text, recognize and synthesize speech, translate between languages, and interpret commands.

Module 5: Conversational AI

Basic principles for working with bots and gives you an opportunity to create a bot that can respond intelligently to user questions.

Audience

Anyone interested in learning about the types of solutions AI makes possible and the AI services on Microsoft Azure.

The number of participants: 8-15 people

Duration: 1 day

Available language: PL / EN

Available course material: EN

Course form
Presentation, lecture, in-class demonstrations and labs, discussion.

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