Artificial Intelligence (AI) is taking over the IT world and the improvement of AI is evident. Thus, AI 900 certification is a great choice for future cloud professionals to acquire the fundamental understanding of the field of machine learning as well as AI concepts.
AI-900 Microsoft Azure AI Fundamentals is a widely acknowledged certification that proves the candidate’s understanding of Artificial Intelligence (AI) and Machine Learning (ML) concepts and their corresponding Microsoft Azure services. The Azure AI Fundamentals exam requires candidates to demonstrate commonly used AI and ML tasks and their application in Azure.
The topics covered in this blog are:
- What is Azure AI Fundamentals Certification?
- Why use Azure AI Solutions?
- Who Can Do This Certification?
- Benefits of AI-900 Certification
- AI-900 Exam Details
- AI-900 Exam Skills Measured
- How to Register for Azure AI 900 Exam
- Pre-requisites for AI-900 Certification
- Azure AI Fundamentals Certification (AI 900) Study Guide
- AI 900 Exam Day Tips
- Conclusion
- FAQs
What Is Azure AI Fundamentals Certification?
AI 900 certificate is an essential grade accreditation for information researchers to have a thought of how to apply AI and Machine Learning in their calling. Additionally, it likewise affirms you for utilizing Azure administrations connected with ML and AI. What’s more, we can utilize the AI900 Microsoft Azure AI Fundamentals accreditation test as a significant device for exhibiting an intensive comprehension of general ML and AI responsibilities.
Are you a beginner in the Azure cloud? Do check out our blog post on the Azure Certification Path and choose the best certification for you.
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Why Use Azure AI solutions?
The justification for why one should change to Azure AI arrangement can be shown through different reasons:
- It gives a cloud stage for executing AI Solutions
- It gives no-code ML models to handling information.
- It helps in executing and checking AI arrangements.
- You can plan AI as financially savvy Intelligent Edge arrangements.
- You can plan and distinguish information administration, and necessities.
Who Can Do This Certification?
This test can be endeavored by the competitors getting ready for the Azure AI Fundamentals AI-900 confirmation test.
This test is reasonable for individuals with both specialized and non-specialized foundations who need to show a sense of man-made brainpower and AI.
Benefits of AI-900 Certification
The advantages of going to this test are as per the following:
- Because of the soaring development of AI, the significance of Azure AI Engineers is likewise apparent.
- The volume of deciphering the vision of cloud engineer for the advancement of start to finish arrangements utilizing AI and ML on Azure.
- It will further develop your acquiring potential.
- Azure AI engineers need to work as a team with information engineers, information researchers, AI designers, and IoT experts as these jobs are related.
Also Check: Azure Data Factory Interview Questions
AI-900 Exam Details
Exam Name Exam AI-900: Microsoft Azure AI Fundamentals Exam Duration 90 Minutes Exam Type Multiple Choice Examination Number of Questions 40 - 60 Questions Exam Fee $99 Eligibility/Pre-Requisite None Exam validity Lifetime Exam Languages English, Japanese, Korean, and Simplified Chinese
AI-900 Exam Skills Measured
Fundamental principles of ML on Azure 30-35% AI workloads and considerations 15-20% Computer vision workloads on Azure 15-20% Natural Language Processing (NLP) workloads on Azure 15-20% Conversational AI workloads on Azure 15-20%
How to Register for Azure AI 900 Exam
You can register for Microsoft Azure Data Fundamentals Exam (AI900) by going to the official Microsoft page.
Pre-requisites for AI-900 Certification
There are no pre-requisites for the AI-900 exam.
Also Read: What is Azure?
Azure AI Fundamentals Certification (AI 900) Study Guide
Describe Artificial Intelligence Workloads and Considerations (15-20%)
Identify Features of Common AI Workloads
- identify prediction/forecasting workloads
- identify features of anomaly detection workloads
- identify computer vision workloads
- identify natural language processing or knowledge mining workloads
- identify conversational AI workloads
Identify Guiding Principles for Responsible AI
- describe considerations for fairness in an AI solution
- describe considerations for reliability and safety in an AI solution
- describe considerations for privacy and security in an AI solution
- describe considerations for inclusiveness in an AI solution
- describe considerations for transparency in an AI solution
- describe considerations for accountability in an AI solution
Describe fundamental principles of machine learning on Azure (30- 35%)
Identify common machine learning types
- identify regression machine learning scenarios
- identify classification machine learning scenarios
- identify clustering machine learning scenarios
Describe core machine learning concepts
- identify features and labels in a dataset for machine learning
- describe how training and validation datasets are used in machine learning
- describe how machine learning algorithms are used for model training
- select and interpret model evaluation metrics for classification and regression
Identify core tasks in creating a machine learning solution
- describe common features of data ingestion and preparation
- describe feature engineering and selection
- describe common features of model training and evaluation
- describe common features of model deployment and management
Describe capabilities of no-code machine learning with Azure Machine Learning studio
- Automated ML UI
- Azure Machine Learning designer
Describe features of computer vision workloads on Azure (15-20%)
Identify common types of computer vision solution:
- identify features of image classification solutions
- identify features of object detection solutions
- identify features of optical character recognition solutions
- identify features of facial detection, facial recognition, and facial analysis solutions
Identify Azure tools and services for computer vision tasks
- identify capabilities of the Computer Vision service
- identify capabilities of the Custom Vision service
- identify capabilities of the Face service
- identify capabilities of the Form Recognizer service
Describe features of Natural Language Processing (NLP) workloads on Azure (15-20%)
Identify features of common NLP Workload Scenarios
- identify features and uses for keyphrase extraction
- identify features and uses for entity recognition
- identify features and uses for sentiment analysis
- identify features and uses for language modeling
- identify features and uses for speech recognition and synthesis
- identify features and uses for translation
Identify Azure tools and services for NLP workloads
- identify capabilities of the Text Analytics service
- identify capabilities of the Language Understanding service (LUIS)
- identify capabilities of the Speech service
- identify capabilities of the Translator Text service
Describe features of conversational AI workloads on Azure (15-20%)
Identify common use cases for conversational AI
- identify features and uses for webchat bots
- identify common characteristics of conversational AI solutions
Identify Azure services for conversational AI
- identify capabilities of the QnA Maker service
- identify capabilities of the Azure Bot Service
AI-900 Exam Day Tips
Before attempting the exam, the candidate must keep in mind these tips if they wish to qualify for the exam:
- Run a System Check before the test.
- There can be a variety in the test question types like fill in the spaces, valid or bogus, various responses, numerous decisions, simplified, fill the missing modules in the given pipeline, so be ready for it!
- Be cautious and speed yourself on the inquiries so as not to stall out on one query for extremely lengthy.
- Simply skip the new queries and return to them later.
- Breaks will be not be permitted during the test.
Conclusion
In this Azure tutorial, we discussed What is Azure AI Fundamentals Certification, Who Can Do This Certification, benefits, Exam Details, Study Guide, and much more.
I hope you have enjoyed this article!!!
FAQs
Q1. How long is Ai 900 valid for?
The Microsoft Certified Azure AI Fundamentals Certification (Ai-900) is valid for one year from the date you pass the exam. After one year, your certification will expire and you will need to renew it in order to continue to demonstrate your knowledge and skills in Azure.
Q2. How long is the Ai-900 exam?
Ai-900 exam is 90 minutes long.
Q3. Who should take Ai-900?
Business decision-makers, Technical professionals, and people who are interested in AI should take AI-900 Certification Exam.
Q4. How many questions are there in Ai-900 exam?
The Microsoft Ai-900 exam has 40-60 questions.
Q5. What is the pass mark for the Ai-900 test?
The pass mark for the Microsoft Certified Azure AI Fundamentals Certification (Ai-900) exam is 700 out of 1000 points.
Q6. How much does Ai 900 cost?
The Ai-900 exam costs $99 USD.
