Microsoft Certified: Azure AI Fundamentals AI-900 [2026]

Explore how artificial intelligence uses data and algorithms to learn, recognize patterns, understand language, and make decisions. AI analyzes data to predict outcomes and assist diagnoses.

Explore common AI use cases across industries—computer vision, natural language processing, conversational AI, machine learning, anomaly detection, speech AI, and recommendation systems, with Azure service examples.

AI powers everyday apps to boost convenience, efficiency, and decision-making across devices, search, social media, e-commerce, streaming, email, smart homes, healthcare, and finance.

Identify features as input variables used to train predictions and labels as outputs the model predicts, with examples like age, salary, house price, and cat or dog.

Use machine learning for data patterns to enable predictions, classifications, including anomaly detection, image and speech recognition. Avoid machine learning for rules or when explainability and 100% accuracy are required.

Explore face detection concepts and how AI systems identify the presence and location of human faces in images or videos, including bounding boxes, attributes, and landmarks.

Explore text analysis and sentiment detection in Azure AI language to extract meaning, identify entities and topics, and detect emotion with labels like positive, negative, natural, and mixed.

Key phrase extraction uses Azure AI language text analytics to identify important words and phrases, summarize meaning, and highlight main topics for tagging and indexing.

Speech-to-text converts spoken audio into written text, enabling real-time and batch transcription across accents and languages, with Azure AI Speech powering applications like voice assistants and captions.

Explore how generative AI creates new content from data patterns, including text, images, audio, video, and code, and how Azure OpenAI enables these capabilities with responsible AI.