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Machine Learning Engineer
Module 1: Introduction to AI
In this module, you will learn about the common applications of artificial intelligence (AI) and the different types of workload associated with AI. You will then explore considerations and principles for responsible AI development.
Lessons
- Artificial intelligence in Azure
- Responsible AI
Module 2: Machine Learning
Machine Learning is the basis for modern AI solutions. In this module, you will learn some basic concepts of machine learning 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 an area of AI that deals with the visual understanding of the world through images, video files and cameras. In this module, you will learn about different 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 will learn about Azure services that can be used to create solutions that can analyze text, recognize and synthesize speech, translate between languages, and interpret commands.
Module 5: Conversational AI
Conversational AI allows users to engage in a dialog with an AI agent or *bot* through communication channels such as email, web chat interfaces, social media and others. This module describes some basic principles for working with bots and gives you the opportunity to create a bot that can respond intelligently to user questions.
Lessons
- Conversational AI concepts
- Conversational AI in Azure
- Describing workloads and considerations regarding artificial intelligence
- Describe the basic principles of machine learning in Azure
- Describe the characteristics of computer vision workload in Azure
- Describe features of Natural Language Processing (NLP) workloads in Azure
- Describe characteristics of the conversational AI workload in Azure
This training prepares you for:
Exam: " AI-900: Microsoft Azure AI Fundamentals " for the
Certification: " Microsoft Certified: Azure AI Fundamentals "
This course consists of training training and is led by a trainer who supervises the participants live. Theory and practice are taught with live demonstrations and practical exercises. The video conferencing software Zoom is used.
This course is aimed at anyone interested in learning more about the types of solutions that artificial intelligence (AI) enables and the services in Microsoft Azure that can be used to create them.
Familiarity with computers and the use of a web browser. Some of the concepts covered in the course require a basic understanding of math, such as the ability to interpret graphs. The course includes hands-on activities that involve working with data and executing code, so knowledge of basic programming principles is helpful.
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