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
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
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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, Ihave practically demonstrated concepts wherever possible to make sure you feel confident with concepts.
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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
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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%)
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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
