Exam AI-900: Microsoft Azure AI Fundamentals

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Overview

Overview

Candidates for this exam should have foundational knowledge of machine learning (ML) and artificial intelligence (AI) concepts and related Microsoft Azure services.

This exam is an opportunity to demonstrate knowledge of common ML and AI workloads and how to implement them on Azure.

This exam is intended for candidates with both technical and non-technical backgrounds. Data science and software engineering experience are not required; however, some general programming knowledge or experience would be beneficial.

Azure AI Fundamentals can be used to prepare for other Azure role-based certifications like Azure Data Scientist Associate or Azure AI Engineer Associate, but it’s not a prerequisite for any of them.

Skills Measured

  • Describe AI workloads and considerations (15-20%)
  • Describe fundamental principles of machine learning on Azure (30-35%)
  • Describe features of computer vision workloads on Azure (15-20%)
  • Describe features of Natural Language Processing (NLP) workloads on Azure (15-20%)
  • Describe features of conversational AI workloads on Azure (15-20%)

Getting Started

Getting Started

  1. 6/23/2020, Trainings
    Exam AI-900: Skills Outline

Learning Paths

Create no-code predictive models with Azure Machine Learning
Published: 7/16/2020, Length: 3:29:00

Learn how to use Azure Machine Learning to create and publish machine learning models without writing code.

Levels: Beginner

Roles: AI Engineer, Data Scientist

Modules

Create conversational AI solutions
Published: 9/9/2020, Length: 1:56:00

Conversational AI revolves around user interactions, in this case through Bots. In this learning path, you will learn how to create chat bots and integrate the bot with various AI services to add intelligence to the interaction. Learn how to integrate the QnA Maker Service (an easy method to add question and answers for bots), and explore the new Virtual Assistant scenarios for creating branded experiences with bots.

Levels: Intermediate

Roles: AI Engineer, Developer

Modules

Get started with artificial intelligence on Azure
Published: 7/17/2020, Length: 0:27:00

Artificial Intelligence (AI) empowers amazing new solutions and experiences; and Microsoft Azure provides easy to use services to help you get started.

Levels: Beginner

Roles: AI Engineer, Data Scientist, Developer, Student

Modules

Explore natural language processing
Published: 7/3/2020, Length: 2:06:00

Natural language processing supports applications that can see, hear, speak with, and understand users. They permit the user to interact with your application in natural ways without requiring the user to adapt to the computer model. Using text analytics, translation, and language understanding services, Microsoft Azure makes it easy to build applications that support natural language.

Levels: Beginner

Roles: AI Engineer, Data Scientist, Developer, Solutions Architect, Student

Modules

Explore computer vision in Microsoft Azure
Published: 7/3/2020, Length: 2:53:00

Computer vision is an area of artificial intelligence (AI) in which software systems are designed to perceive the world visually, though cameras, images, and video. There are multiple specific types of computer vision problem that AI engineers and data scientists can solve using a mix of custom machine learning models and platform-as-a-service (PaaS) solutions - including many cognitive services in Microsoft Azure.

Levels: Beginner

Roles: AI Engineer, Data Scientist, Developer, Solutions Architect, Student

Modules