Pass the AI-900 Exam with 6 Full Practice Tests. Updated for February 2026 with Generative AI & Detailed Explanations.
Sub Category
- IT Certifications
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Objectives
- Identify 6 Principles of Responsible AI: Apply Fairness, Reliability and Safety to real-world business scenarios to ensure ethical AI deployments.
- Differentiate Machine Learning Workloads: Master Regression, Classification, and Clustering and understand how to use Automated ML (AutoML) on Azure.
- Navigate Azure AI Foundry (2026 Update): Explore the Model Catalog, manage foundation models and understand LLM orchestration using Prompt Flow.
- Master Generative AI & RAG Architecture: Explain Large Language Models (LLMs), tokens and how Retrieval-Augmented Generation (RAG) grounds AI in private data.
- Select Correct Azure AI Services: Choose the right tool for the job, from Azure AI Vision and Document Intelligence to AI Language and Speech services.
- Analyze AI Model Performance Metrics: Evaluate model success using Accuracy, Precision, Recall and Mean Absolute Error (MAE) for production readiness.
Pre Requisites
- No prior programming experience required.
- A basic familiarity with cloud concepts (though not mandatory).
- A desire to learn the future of technology!
FAQ
- Q. How long do I have access to the course materials?
- A. You can view and review the lecture materials indefinitely, like an on-demand channel.
- Q. Can I take my courses with me wherever I go?
- A. Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
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