All-in-one Azure AI-900 course with full syllabus coverage, hands-on demos, and exam-ready content - Updated Syllabus
Sub Category
- IT Certifications
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Objectives
- Understand core Artificial Intelligence (AI) concepts, including machine learning types, computer vision, NLP, and responsible AI principles.
- Work with Azure AI Services, such as Azure Cognitive Services, Azure Machine Learning, and AI–based automation tools.
- Identify real-world business problems and map them to Azure AI solutions, gaining clarity on when and how to use AI capabilities effectively.
- Evaluate and deploy AI models using Azure, including classification models, vision models, text analysis, and knowledge mining solutions.
- Apply best practices of responsible AI, including fairness, transparency, accountability, and privacy considerations.
- Analyze AI workloads, understand their components, and determine suitable Azure services to implement them.
- Understand cloud-based ML pipelines, automated ML concepts, and how AI integrates with enterprise applications.
- Prepare confidently for the AI-900 certification exam through conceptual learning, demos, and real-time case studies.
Pre Requisites
- No coding knowledge is required — this course does not involve programming.
- Basic understanding of cloud computing concepts is helpful but not mandatory.
- A Microsoft Azure free account (optional but recommended) for hands-on exploration.
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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