Azure AI Fundamentals (AI-900) Certification
What is Azure AI Fundamentals (AI-900)?
The Microsoft Azure AI Fundamentals (AI-900) certification is designed for individuals looking to gain a foundational understanding of artificial intelligence (AI) and machine learning (ML) concepts. It covers AI workloads, principles of responsible AI, and the capabilities of Microsoft Azure AI services.
Why is AI-900 Important?
AI is transforming industries worldwide, from healthcare to finance. Earning the AI-900 certification demonstrates your ability to understand AI concepts and Microsoft’s AI solutions, making you a valuable asset to any organization leveraging AI-driven innovation.
How Can This Certification Help You?
Whether you are an IT professional, developer, or business decision-maker, AI-900 enhances your knowledge of AI applications, improving your career prospects. It lays a strong foundation for further Microsoft AI certifications, positioning you for advanced AI roles.
Why Should You Learn AI-900?
AI skills are in high demand. Learning AI-900 allows you to stay ahead in the tech industry, understand AI trends, and contribute to AI-powered business solutions. This certification requires no prior AI experience, making it accessible to anyone interested in AI technology.
Exam Format
- Exam Code: AI-900
- Duration: 60 minutes
- Number of Questions: 40-60
- Question Type: Multiple-choice and case study
- Passing Score: 700/1000
- Exam Fee: Varies by location
Certification Renewal
Microsoft requires AI-900 certification holders to renew their certification annually through a free online renewal assessment. This ensures your knowledge stays current with the latest AI advancements.
Certification Objectives & Syllabus
- Introduction to AI: Understand AI principles, machine learning, and AI workloads.
- Machine Learning Concepts: Learn about supervised and unsupervised learning, models, and algorithms.
- Computer Vision: Explore image classification, object detection, and Azure AI Vision services.
- Natural Language Processing: Study text analytics, speech recognition, and Azure AI Language services.
- Conversational AI: Learn about chatbots and Azure Bot Services.
- Responsible AI: Understand fairness, privacy, security, and ethical AI principles.