AI-901 Exam: Microsoft Azure AI Fundamentals
Exam transition, audience, prerequisites, domains, Microsoft Foundry implementation skills, scenarios, Python level, and study strategy.
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0 of 13 read 0%Exam transition, audience, prerequisites, domains, Microsoft Foundry implementation skills, scenarios, Python level, and study strategy.
Read articleGenerative AI, agents, NLP, speech, computer vision, information extraction, and the six responsible AI principles.
Read articleTokenization, transformers, embeddings, attention, prompt design, retrieval-augmented generation, AI agents, and multi-agent systems.
Read articlePreprocessing, TF-IDF, bag-of-words, Naive Bayes, TextRank, embeddings, cosine similarity, and vector arithmetic.
Read articleVoice scenarios, MFCCs, acoustic transformers, beam search, G2P, prosody, and neural audio generation.
Read articleClassification, detection, segmentation, convolution, CNNs, Vision Transformers, multimodal models, and diffusion.
Read articleOCR pipelines, layout analysis, field detection, semantic mapping, normalization, validation, and business integration.
Read articleAzure infrastructure, security, hosting, databases, Foundry models, agents, projects, client apps, REST endpoints, and SDKs.
Read articleModel catalog, families, evaluation, deployment, TPM, Playground, Responses API, tools, knowledge, RAG, and Project API.
Read articleNLP, generative models, Azure Language in Foundry Tools, Responses API, Azure AI Text Analytics, PII, agents, and MCP.
Read articleRecognition, synthesis, Speech SDK, real-time and batch transcription, neural voices, speech agents, and Voice Live.
Read articleVision-enabled models, image analysis, Responses API, GPT-Image, Sora, Video Playground, and asynchronous REST jobs.
Read articleAzure Content Understanding, OCR, schemas, analyzers, JSON, Foundry portal, asynchronous API, and Python SDK.
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