The Microsoft AI-900 certification, also known as the Azure AI Fundamentals certification, is an excellent entry point for those looking to demonstrate foundational knowledge of artificial intelligence (AI) and machine learning (ML) concepts, as well as related Microsoft Azure services. Here are the key requirements and details about the exam:
Exam Requirements and Structure
Target Audience: This certification is suitable for individuals with both technical and non-technical backgrounds. You don't need prior experience in data science or software engineering, although a basic understanding of cloud concepts and client-server applications is beneficial.
Exam Content: The AI-900 exam covers several key areas:
- Describe AI Workloads and Considerations (15-20%): This includes identifying features of various AI workloads such as computer vision, natural language processing (NLP), and knowledge mining. It also covers responsible AI principles such as fairness, reliability, privacy, inclusiveness, transparency, and accountability.
- Describe Fundamental Principles of Machine Learning on Azure (20-25%): This section evaluates your understanding of machine learning techniques like regression, classification, and clustering, as well as core concepts like features and labels in datasets, and the capabilities of Azure Machine Learning.
- Describe Features of Computer Vision Workloads on Azure (15-20%): This part covers image classification, object detection, and the capabilities of Azure Cognitive Services for computer vision tasks.
- Describe Features of NLP Workloads on Azure (15-20%): You'll need to understand NLP tasks like sentiment analysis, language modeling, and how Azure services like Azure Cognitive Services support these workloads.
- Describe Features of Generative AI Workloads on Azure (15-20%): This includes understanding generative AI models and the capabilities of the Azure OpenAI Service.
Exam Format: The exam consists of 40-60 questions, including multiple-choice, drag-and-drop, and hot area active screen questions. The total duration of the exam is 60 minutes.
Passing Criteria
- Passing Score: To pass the AI-900 exam, you need to score at least 700 out of 1000 points. The results are provided immediately upon completion of the exam.
Preparation Resources
- Microsoft Learn: Offers self-paced learning modules and documentation to cover all exam objectives. You can explore AI concepts, machine learning tools, computer vision, NLP, and more through their comprehensive resources.
- Instructor-Led Training: For those who prefer a guided approach, Microsoft offers courses that blend instructor-led instruction with hands-on exercises.
- Practice Assessments: These provide an overview of the exam format and types of questions, helping you assess your readiness.
Exam Registration
- Cost: The registration fee for the AI-900 exam is approximately $99 USD, although this can vary by country.
- Scheduling: You can schedule your exam through Pearson VUE or Certiport, depending on whether you are a student or a professional.
For more detailed information and study resources, you can visit the official Microsoft Learn page for AI-900 and Microsoft Certification page.