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2022-05-05T00:36:32Z

IT & SoftwareIT CertificationsMicrosoft AI-900

AI-900: Microsoft Azure AI Fundamentals Course - May 2022

AI-900 Exam: Microsoft Azure AI Fundamentals || 8+ hours of videos || 100% Syllabus || 2 Practice Tests || PPTs || Demos
Highest rated
Rating: 4.7 out of 54.7 (844 ratings)
3,334 students
Created by Eshant Garg | AWS Certified Cloud Practitioner | LearnCloud.Info | 100,000+ Enrollments
Last updated 5/2022
English
English [Auto]

What you'll learn

  • Foundational knowledge of machine learning (ML) and artificial intelligence (AI) concepts and related Microsoft Azure services.
  • Common ML and AI workloads and how to implement them on Azure.
  • AI workloads and considerations: AI-900 Exam
  • Principles of machine learning on Azure: AI-900 Exam
  • Computer vision workloads on Azure: AI-900 Exam
  • Natural Language Processing (NLP) workloads on Azure: AI-900 Exam
  • Conversational AI workloads on Azure: AI-900 Exam

Requirements

  • No prerequisite for this course
  • Candidates with both technical and non-technical backgrounds can attend this course

Description

Should you take AI-900 Exam?

Artificial intelligence and machine learning are all set to dictate the future of technology. The focus of Microsoft Azure on machine-learning innovation is one of the prominent reasons for the rising popularity of Azure AI. Therefore, many aspiring candidates are looking for credible approaches for the AI-900 exam preparation that is a viable instrument for candidates to start their careers in Azure AI.

The interesting fact about the AI-900 certification is that it is a fundamental-level certification exam. Therefore, candidates from technical as well as ones with non-technical backgrounds can pursue the AI-900 certification exam. In addition, there is no requirement for software engineering or data science experience for the AI-900 certification exam.

The AI-900 certification can also help you build the foundation for Azure AI Engineer Associate or Azure Data Scientist Associate certifications.


Course last updated - May 2022


~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

What includes in this course?

  • 8+ hrs. of content, Practice test, quizzes, etc.

  • PPT, Demo resources, and other study material

  • Full lifetime access

  • Certificate of course completion

  • 30-days Money-Back Guarantee

  • This course has more than enough practice questions to get you to prepare for the exam.

  • Even though there are no labs in the exam, I have practically demonstrated concepts wherever possible to make sure you feel confident with concepts.

~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Exam Format and Information

Exam Name Exam AI-900: Microsoft Azure AI Fundamentals

Exam Duration 60 Minutes

Exam Type Multiple Choice Examination

Number of Questions 40 - 60 Questions

Exam Fee $99

Eligibility/Pre-requisite None

Exam validity 1 year

Exam Languages English, Japanese, Korean, and Simplified Chinese

~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

The AI-900 exam covers the following topics:

  • 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%)

~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Exam Topics in detail

Domain 1: Describing AI workloads and considerations

The subtopics in this domain include,

  • Identification of features in common AI workloads

  • Identification of guiding principles for responsible AI

Domain 2: Describing fundamental principles of machine learning on Azure

The subtopics in this domain include,

  • Identification of common machine learning variants

  • Description of core machine learning concepts

  • Identification of core risks in the creation of a machine learning solution

  • Description of capabilities of no-code machine learning with Azure Machine Learning

Domain 3: Description of features in computer vision workloads on Azure

The subtopics in this domain include,

  • Identification of common types of computer vision solutions

  • Identification of Azure tools and services for computer vision tasks

Domain 4: Describing features of Natural Language Processing (NLP) workloads on Azure

The subtopics in this domain are as follows,

  • Identification of features in common NLP workload scenarios

  • Identifying Azure tools and services for NLP workloads

Domain 5: Description of features of conversational AI workloads on Azure

The subtopics in this domain include,

  • Identification of common use cases for conversational AI

  • Identifying Azure services for conversational AI


Happy Learning!!

Eshant Garg

Who this course is for:

  • Those who are looking to give AI-900 Exam: Microsoft Azure AI Fundamentals
  • Those who are interested in learning basics of Artificial Intelligence or Machine Learning

Instructor

Eshant Garg | AWS Certified Cloud Practitioner | LearnCloud.Info | 100,000+ Enrollments
Instructor | LearnCloud.Info | AWS | Azure
Eshant Garg | AWS Certified Cloud Practitioner | LearnCloud.Info | 100,000+ Enrollments
  • 4.6 Instructor Rating
  • 19,759 Reviews
  • 94,338 Students
  • 14 Courses

I love to explain complicated things in a simple and effective way.

I have 16 years of extensive professional experience with expertise in Database and Business Intelligence Solutions, Advanced Analytics, Design and Solution Architect, Reporting, and Cloud Computing Technologies (Azure & AWS).

As a developer and architect, I have worked closely with customers, users, and colleagues to support business solutions across a variety of industries including healthcare, insurance, finance, and government ranging from small companies to fortune 500 companies.

Outside of the technical world, I love yoga and meditation. I am a student of the ancient yogic text Bhagavad Gita and love to discuss and practice philosophical teachings.

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