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Microsoft Azure AI Fundamentals / AI - 900
This Microsoft Azure AI Fundamentals training is for Engineers, Data Scientists, Developers, and Solutions Architects who have a basic understanding of AL and ML and Azure services related to them. Like all the Azure Fundamentals certifications, this one is for people with both technical and non-technical backgrounds. That means data science and software engineering experience aren’t mandatory — but Microsoft says some general programming understanding or experience is a plus.
Skills covered:
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AI workloads and considerations
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Principles of machine learning on Azure
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Computer vision workloads on Azure
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Natural Language Processing (NLP) workloads on Azure
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Conversational AI workloads on Azure
Candidates who are interested in earning this new fundamental level certification must have a basic knowledge of artificial intelligence (AI) and machine learning (ML) and how to implement them on Microsoft Azure.
Areas Covered Describe AI workloads and considerations, identify features of common AI workloads, and guiding principles for responsible AI Describe fundamental principles of machine learning on Azure, identify common machine learning types and scenarios Describe features of computer vision workloads on Azure, identify common types of computer vision solution, identify Azure tools and services for computer vision tasks, and identify Azure tools and services for NLP workloads Describe features of conversational AI workloads on Azure and identify common use cases for conversational AI Azure services for conversational AI
Microsoft Azure AI Fundamentals / AI - 900
Course outline
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
After completing this module you will be able to:
Describe Artificial Intelligence workloads and considerations
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
After completing this module you will be able to:
Describe fundamental principles of machine learning on Azure
Module 3: Computer Vision
Computer vision is a the 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
After completing this module you will be able to:
Describe features of computer vision workloads on 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.
After completing this module you will be able to:
Describe features of Natural Language Processing (NLP) workloads on Azure
Module 5: Conversational 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
Conversational AI Concepts
Conversational AI in Azure
After completing this module you will be able to:
Describe features of conversational AI workloads on Azure
