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Key Topics Covered in the Microsoft AI Certification Exam
The microsoft ai certification exam covers several fundamental topics, including:
1. AI Workloads and Considerations
Understanding different
microsoft ai certification workloads, including classification, regression, forecasting, anomaly detection, and natural language processing. Candidates should be familiar with AI application scenarios and how to determine suitable AI services.
2. Fundamental Machine Learning Concepts
Core machine learning principles such as supervised, unsupervised, and reinforcement learning, along with the importance of data preparation, model training, and evaluation metrics.
3. Computer Vision
Concepts related to image analysis, object detection, facial recognition,
microsoft ai certification exam and optical character recognition (OCR). Candidates should understand Azure Cognitive Services for vision and their applications.
4. Natural Language Processing (NLP)
Key concepts including text analytics, language understanding (LUIS), speech recognition, and translation services offered by Azure.
5. Conversational AI
Understanding chatbots and virtual assistants using Azure
ai-900 exam questions and answers pdf Bot Service, QnA Maker, and integration with other Azure AI services.
6. Azure AI Services and Tools
Detailed knowledge of Azure Machine Learning, Cognitive Services, and Azure Bot Service, including deployment and management.
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