The AI-900 exam, also known as Microsoft Azure AI Fundamentals, is designed to validate a professional’s foundational knowledge of artificial intelligence (AI) and its application on Microsoft Azure. This certification is ideal for individuals looking to demonstrate their understanding of AI concepts and Azure AI services, making it an excellent starting point for a career in AI and cloud computing.
Exam Overview
Purpose
The primary goal of the AI-900 exam is to certify individuals who have a basic understanding of AI and machine learning (ML) concepts and can demonstrate how these concepts are implemented using Azure services. This certification is suitable for both technical and non-technical professionals who want to gain a foundational understanding of AI on Azure.
Target Audience
This certification is suitable for:
- Business Stakeholders
- Technical Salespeople
- Project Managers
- IT Professionals interested in AI
- Anyone looking to gain foundational knowledge in AI and Azure services
Prerequisites
There are no formal prerequisites for the AI-900 exam, making it accessible to a broad audience. However, having a basic understanding of cloud computing and core AI concepts can be beneficial.
Exam Structure
Format
The AI-900 exam consists of multiple-choice, multiple-select, and true/false questions designed to assess the candidate’s knowledge of AI and Azure AI services. The exam typically covers the following key areas:
- AI Workloads and Considerations
- Understanding general AI workloads and the differences between AI, machine learning, and deep learning
- Identifying guiding principles for responsible AI
- Fundamentals of Machine Learning on Azure
- Understanding common machine learning types, such as supervised, unsupervised, and reinforcement learning
- Identifying core Azure services for machine learning and their use cases
- Computer Vision Workloads on Azure
- Understanding image classification, object detection, facial recognition, and optical character recognition (OCR)
- Identifying core Azure services for computer vision, such as Azure Computer Vision and Custom Vision
- Natural Language Processing (NLP) Workloads on Azure
- Understanding key NLP concepts, including sentiment analysis, language modeling, and translation
- Identifying core Azure services for NLP, such as Azure Text Analytics and Azure Translator
- Conversational AI Workloads on Azure
- Understanding the basics of conversational AI, including bots and virtual agents
- Identifying core Azure services for conversational AI, such as Azure Bot Service and QnA Maker
Duration and Passing Criteria
The exam duration is typically 60 minutes, and the passing score is 700 out of 1000 points. It is essential to review the latest exam guidelines from Microsoft for any updates on the passing criteria.
Preparation Tips
Study Materials
- Microsoft Learn
- Microsoft Learn offers free, interactive modules and learning paths specifically designed for the AI-900 exam, covering all the essential topics.
- Azure Documentation
- Microsoft’s official Azure documentation provides in-depth information on AI and machine learning services, which are crucial for understanding the exam content.
- Books and Guides
- Books like “Exam Ref AI-900 Microsoft Azure AI Fundamentals” provide a structured approach to learning the key concepts and preparing for the exam.
- Online Training Courses
- Many e-learning platforms offer courses specifically designed for the AI-900 exam, providing comprehensive coverage of the exam topics with practical insights and hands-on labs.
Practice Tests
Taking practice tests is crucial for familiarizing yourself with the exam format and identifying areas where you need more focus. Many platforms provide sample questions and full-length practice exams to help you prepare effectively.
Join Study Groups
Engaging in study groups or forums can be beneficial. It allows you to discuss complex topics, share knowledge, and gain insights from other candidates preparing for the same exam.
Hands-On Experience
Practical experience with Azure AI services is invaluable. Setting up a lab environment to practice various tasks such as creating machine learning models, configuring computer vision services, and building chatbots will enhance your understanding and confidence.
Benefits of Certification
Career Advancement
Earning the AI-900 certification can significantly enhance your career prospects. It is highly regarded by employers and demonstrates your foundational knowledge of AI and Azure services.
Enhanced Skills
The certification process ensures you have a thorough understanding of AI concepts and Azure AI services, enabling you to effectively contribute to AI projects and initiatives.