Key Topics Covered in the AI-900 Exam The AI-900 exam encompasses several essential topics, each of which is critical for a comprehensive understanding of artificial intelligence. Below are the main areas covered in the exam:

1.       Artificial Intelligence Concepts (15-20%): This section assesses your understanding of the core principles of AI, including the AI 900 Dumps difference between AI, machine learning, and deep learning. You will need to understand how AI can be applied in various scenarios and the impact it can have on business processes.

 2.      Machine Learning (30-35%): This portion delves into the various types of machine learning models, including supervised, unsupervised, and reinforcement learning. You'll learn about model training, evaluation, and the importance of selecting the right algorithm for specific problems.

 3.      Computer Vision (15-20%): In this section, you will explore how AI technologies are used to interpret and understand visual information. This includes image classification, object detection, and the application of computer vision in real-world scenarios.

4.      Natural Language Processing (15-20%): This topic focuses on the ability of machines to understand and interpret human language. You will learn about language models, text analysis, and the use of chatbots in customer service.

 5.      Ethical Considerations in AI (10-15%): As AI technologies continue to evolve, ethical considerations are becoming increasingly important. This section will cover topics such as fairness, accountability, and transparency in AI systems, as well as the potential risks associated with their use.

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