Microsoft Azure AI Fundamentals – Flexible Training («AI900V»)

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

Module 1: Introduction to AI
In this module, 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.
Lessons

• Artificial intelligence in Azure
• Responsible AI

Module 2: Machine learning
Machine learning is the foundation for modern AI solutions. In this module, 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.
Lessons

• Introduction to Machine Learning
• Azure Machine Learning

Module 3: Computer Vision
Computer vision is a area of AI that deals with understanding the world visually, through images, video files, and cameras. In this module you'll explore multiple computer vision techniques and services.
Lessons

• Computer Vision Concepts
• Computer Vision in Azure

Module 4: Natural language processing
This module 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 5: Conversation AI
Conversational AI enables users to engage in a dialog with an AI agent, or *bot*, through communication channels such as email, webchat interfaces, social media, and others. This module describes some basic principles for working with bots and gives you an opportunity to create a bot that can respond intelligently to user questions.
Lessons

• Concepts of the Conversation AI
• Conversational AI in Azure

Digicomp Blended Learning Approach:

• Pre-Study: As soon as you book the course, you get access to official Microsoft Courseware and Added Value Content. We recommend that you work through at least the first chapter of each module before the course.
• After-Study: After the course, you will still have access to all courseware and can continue to study the topic as needed.

This course is aimed at 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.

Familiarity with computers and using a web browser. 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.

This training prepares you for:

• Exam: «AI-900: Microsoft Azure AI Fundamentals» for the
• Certification: «Microsoft Certified: Azure AI Fundamentals»