Level Up Team
The Foundry Mental Model
Module 5.1 of Level Up’s Azure AI Fundamentals series: how a Foundry resource, project, model deployment, tools, and an agent fit together in one Azure AI application.
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Azure
15 posts
Level Up Team
Responsible AI Scenario Drill
Module 4.3 of Level Up’s Azure AI Fundamentals series: ten scenarios, the primary responsible-AI principle for each, and the mitigation that addresses that failure.
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Responsible AI in a Generative Application
Module 4.2 of Level Up’s Azure AI Fundamentals series: how the six principles become controls around a customer-support assistant, from data access through human escalation.
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The Six Responsible AI Principles
Module 4.1 of Level Up’s Azure AI Fundamentals series: fairness, reliability and safety, privacy and security, inclusiveness, transparency, and accountability.
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Configuration Parameters
Module 3.4 of Level Up’s Azure AI Fundamentals series: temperature, top-p, output limits, stop sequences, and system instructions that change behavior without retraining.
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Model Deployment Choices
Module 3.3 of Level Up’s Azure AI Fundamentals series: choosing a model for the workload, then deploying it with the right region, capacity, latency, and cost.
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Model Families and Capabilities
Module 3.2 of Level Up’s Azure AI Fundamentals series: language, multimodal, embedding, image-generation, and reasoning models, chosen by input, output, and task.
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From Training Data to Generated Output
Module 3.1 of Level Up’s Azure AI Fundamentals series: training versus inference, tokens, context windows, and why a fluent answer is still a probabilistic prediction.
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Information Extraction Across Modalities
Module 2.5 of Level Up’s Azure AI Fundamentals series: structured fields from documents, images, audio, and video, and when to use Azure Content Understanding.
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Computer Vision and Image Generation
Module 2.4 of Level Up’s Azure AI Fundamentals series: image classification, object detection, OCR, image understanding, and image generation, chosen by the required output.
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Speech AI
Module 2.3 of Level Up’s Azure AI Fundamentals series: speech recognition, synthesis, and translation, and when to process audio in real time or in batch.
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Text Analysis
Module 2.2 of Level Up’s Azure AI Fundamentals series: key phrases, named entities, sentiment, and summarization, and how to tell classification from extraction and generation.
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Choosing the Right AI Workload
Module 2.1 of Level Up’s Azure AI Fundamentals series: six AI workload families, and how to classify a scenario by the transformation the system must perform.
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The Anatomy of an Azure AI Solution
Module 1.2 of Level Up’s Azure AI Fundamentals series: seven parts of an Azure AI solution, from input modality through evaluation and responsible AI controls.
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What AI-901 Actually Tests
Module 1.1 of Level Up’s Azure AI Fundamentals series: after April 2026, AI-901 is two domains, with Microsoft Foundry implementation outweighing conceptual recall.
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