AI-900: Microsoft Azure AI Fundamentals Exam: COPILOT
Get ready for your AI900 exam with our [NEW] set of five comprehensive practice tests,complete with thorough explanation
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Mar 2024
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What you will learn
Understanding AI Workloads and Considerations: Grasp the basic principles of AI workloads and their ethical and legal considerations.
Fundamental Principles of Machine Learning on Azure: Learn the core concepts of machine learning and how they're implemented in Azure.
Features of Common AI Workloads: Identify features and scenarios of Natural Language Processing (NLP), Conversational AI, and computer vision workloads.
Identifying Features of Anomaly Detection Workloads: Understand how anomaly detection is used and implemented in AI solutions.
Basic Principles of Natural Language Processing (NLP): Explore the fundamentals of NLP and its applications in AI.
Implementing Computer Vision Solutions: Learn about Azure tools for implementing computer vision tasks.
Conversational AI Workloads and Services: Understand the building blocks of conversational AI and how they are realized in Azure.
Azure Tools for Machine Learning: Familiarize with Azure Machine Learning Studio and other tools for developing ML models.
Data Considerations for Machine Learning: Learn about data formats, storage options, and data processing methods suitable for ML.
Automated Machine Learning on Azure: Understand how AutoML in Azure simplifies the ML model development process.
Features of No-Code Machine Learning with Azure: Explore Azure's capabilities in building ML models without extensive coding.
Responsible AI in Azure: Recognize the importance of ethical AI practices and how Azure promotes them.
AI Solutions for Compliance and Governance: Learn about tools and strategies for managing compliance and governance in AI implementations.
Fundamentals of Azure Cognitive Services: Get acquainted with various Cognitive Services for AI tasks.
Integrating AI Services into Applications: Understand how to integrate Azure AI services into existing applications.
Azure AI Solutions for Specific Industries: Learn about AI solutions tailored for specific sectors like healthcare, finance, and retail.
Customizing Pre-built AI Models in Azure: Learn to customize pre-trained AI models to fit specific business needs.
Understanding Real-time Analytics in AI: Explore the role of real-time analytics in AI solutions.
Azure Services for Robotics and Autonomous Systems: Gain insight into Azure's offerings for robotics and AI in autonomous systems.
Monitoring and Evaluating AI Solutions in Azure: Learn techniques for monitoring and evaluating the performance and effectiveness of AI solutions deployed in Az
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1/10/2024
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1/15/2024
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