Learn Live: Get started with AI on Azure
summary
Hands-on guide explains getting started with Azure by showing a 50,000‑learner Microsoft Learn module, using Azure Machine Learning for regression and automated ML, a predictive‑maintenance anomaly demo that flags spikes in HVAC time‑series, and Cognitive Services for vision and NLP. A Custom Vision model is exported as a Custom Vision docker container and runs locally, classifying an orange at 100% and a red apple at 93%. Notes include Face API access limits, multivariate anomaly models trained on up to 300 metrics, and a Responsible AI dashboard with six principles.
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chapters (12)
- 0:00Introduction
- 2:13Learning Objectives
- 7:25Machine Learning
- 15:33Machine Learning Services
- 15:58Anomaly Detection
- 19:58Predictive Maintenance Demo
- 22:48Azure Vision Services
- 26:37Vision Studio
- 28:41Custom Vision
- 41:03Knowledge Mining
- 43:37Responsible AI
- 51:03Knowledge Check
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