Microsoft Azure Exam (AI-900)

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Enroll in the Microsoft AI-900 certification and prove that you can describe the following: AI workloads and considerations; fundamental principles of machine learning on Azure; features of computer vision workloads on Azure, to mention a few.

About the course

Microsoft Azure AI Fundamentals (Exam AI-900) certification is developed as an introductory knowledge hub for professionals who aspire to diverge into the world of Azure ML and AI. Furthermore, the AI-900 validates that the candidate is aware of the following skills: AI workloads; fundamental principles of machine learning on Azure; computer vision workloads on Azure, and features of NLP workloads on Azure. Henceforth, the AI-900 certification can act as a stepping stone for candidates for building a long-term career in Azure AI and data science.



This course teaches you about core aspects such as;




● General AI workloads
● Common types of machine learning scenarios
● Developing ML solution
● General variants of computer vision solutions
● Azure tools & services for NLP workloads
● Azure services for conversational AI

Eligibility :




There are no formal eligibility criteria for taking the Microsoft Azure Exam AI-900 certification.




There are no formal prerequisites required for Microsoft Azure Exam AI-900 certification, however, the candidate should have the fundamental knowledge and experience in high-level programming languages.



Module 1: Describe AI workloads and considerations
Module 2: Describe fundamental principles of machine learning on Azure
Module 3: Describe features of computer vision workloads on Azure
Module 4: Describe features of Natural Language Processing (NLP) workloads on Azure
Module 5: Describe features of conversational AI workloads on Azure

The ideal target audience for this training program are as follows:



● Any individual willing to learn more about cloud technology
● Software Engineers
● IT Engineers
● Cloud Interns
● Beginner IT Trainees and many more

Salary Insight


The average annual salary of a Microsoft Azure Exam (AI-900) Certified individual is $125.3k, as for an entry-level professional the figures are $63k, and for professionals with senior roles, it succeeds the mark of $351k (approx). Source: Payscale



Minimum Salary :- $63k


Average Salary :- $125.3k


Maximum Salary :- $351k

Hiring Companies






Why should you take the microsoft azure exam (AI-900)?

At present, looking at the rapid developments in tech worldwide demonstrates a general increase in demand for data scientists and AI professionals, which emphasizes the significance of AI-900 certification. Besides, Microsoft Azure AI Fundamentals certification also prepares you for the Azure Data Scientist Associate or Azure AI Engineer Associate certifications. Therefore, it is essential to concentrate on AI-900 in the existing market.

Exam Information

The exam comprises of 40 - 60 Multiple Choice and Multi-Response questions out of which the candidate needs to score 700 (on a scale of 1-1000) to pass the exam.

Microsoft Azure Exam can now be taken via; - Pearson VUE - Certiport - PSI

The total duration of the exam is 60 Minutes.

If a candidate does not achieve a passing score on an exam for the first time, the candidate must wait for 24 hours before retaking the exam. If a candidate does not achieve a passing score on the 2nd attempt, the candidate must wait at least 14 days before retaking the exam for a 3rd, 4th, and 5th attempt. ** Candidate can retake an exam 5 times within a year (12 months).

Microsoft Azure Exam (AI-900) Certificate is valid for 2 years.

Eligibility
There are no formal eligibility criteria for taking the Microsoft Azure Exam AI-900 certification.
Pre-requisites
There are no formal prerequisites required for Microsoft Azure Exam AI-900 certification, however, the candidate should have the fundamental knowledge and experience in high-level programming languages.

Mode of Training

Online Live Virtual Classes

Designed to bring the benefits of traditional instructor-led training to the internet, with the convenience of live interactive classes and doubt sessions. 

Online Self-Paced Learning

Self-paced learning allows you to access course materials at your pace, meaning that you focus on things that you find challenging ensuring greater productivity.

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