← Microsoft Certified: Azure AI Fundamentals
AZURE · objective · 43% of the exam
Identify AI concepts and capabilities
Exam objectives are the official skill domains Microsoft Certified: Azure AI Fundamentals tests. Below are the official AZURE docs our questions on this objective cite — review them, then practise.
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Official references for this objective
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Microsoft — A guide to artificial intelligence - Training | Microsoft Learn
Assess the effectiveness of neural networks in handling unstructured and unlabeled data compared to other machine learning techniques.
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Microsoft — Introduction to Machine Learning Concepts - Training | Microsoft Learn
an important foundation for understanding AI
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Microsoft — Develop natural language solutions in Azure - Training | Microsoft Learn
the speech-to-text and text to speech APIs, which enable you to create apps that are capable of speech recognition and speech synthesis
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Microsoft — Exploring artificial intelligence in action - Training | Microsoft Learn
various subsets within artificial intelligence (AI) such as natural language processing (NLP), computer vision, and recommendation systems
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Microsoft — Introduction to large language models - Training | Microsoft Learn
Understand core concepts like prompts, tokens, and completions.
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Microsoft — Introduction to natural language processing with TensorFlow - Training | Microsoft Learn
Prerequisites Basic Python knowledge Basic understanding of machine learning TensorFlow 2.16 or later
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Microsoft — Microsoft Certified: Azure AI Fundamentals - Certifications | Microsoft Learn
features of computer vision workloads on Azure; features of Natural Language Processing (NLP) workloads on Azure; and features of generative AI workloads on Azure