Key Topics Covered in AI-900 Dumps
To help you get a clear picture of what to expect, let's delve into some of the key topics covered in our AI-900 dumps:
1. AI Workloads and Considerations
This section covers the basic concepts of AI and its various workloads. You'll learn about the different types of AI solutions, including machine learning, computer vision, and natural language processing. AI-900 Exam Dumps Understanding these workloads is crucial as they form the foundation of the AI-900 exam.
2. Fundamental Principles of Machine Learning
Machine learning is a core component of AI, and this section focuses on its fundamental principles. You'll learn about supervised and unsupervised learning, regression and classification algorithms, and how to evaluate machine learning models. Our dumps provide detailed explanations and examples to help you grasp these concepts effectively.
3. Features of Computer Vision Workloads on Azure
Computer vision is a fascinating field that deals with how computers interpret and process visual information. This section covers the various computer vision services offered by Azure, such as Azure Computer Vision, Azure Face, and Azure Form Recognizer. You'll learn how to create and deploy computer vision solutions using these services.
4. Features of Natural Language Processing (NLP) Workloads on Azure
NLP is another exciting area of AI that focuses on the interaction between computers and human language. In this section, you'll explore the NLP services provided by Azure, such as Azure Text Analytics, Azure Translator, and Azure QnA Maker. Our Microsoft Azure AI Fundamentals Certification dumps include practical scenarios to help you understand how to implement NLP solutions using these services.
5. Conversational AI Workloads on Azure
Conversational AI involves creating intelligent agents that can engage in human-like conversations. This section covers Azure Bot Service and Azure Cognitive Services, which are used to build and deploy conversational AI solutions. You'll learn about the different components of a chatbot and how to integrate them to create a functional conversational agent.
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