Azure AI Fundamentals: Artificial Intelligence on Microsoft Azure Competency (Intermediate Level)

Topics covered

• describe Artificial Intelligence and how it can be used to solve business problems
• describe classification algorithms and how they are used to classify objects or relations
• describe clustering algorithms and how they can be used to determine groupings in data
• describe datasets and how to manipulate data for those datasets
• describe how fairness in AI algorithms results in responsible AI
• describe how features are selected and used from datasets in AI algorithms
• describe how governance and organizational policies provide accountability for AI responsibility
• describe how privacy and security must be factored into responsibly creating and using AI solutions
• describe how supervised machine learning models use labeled data, are simpler to build, and have more accurate results
• describe how the use of inclusiveness in AI algorithms can benefit everyone
• describe how to responsibly use AI by making sure it is reliable and safe
• describe how transparency should be used with AI algorithms in a responsible way
• describe how unsupervised machine learning models use unlabeled data, which makes them more complex but more flexible than supervised machine learning
• describe machine learning and how it can be used for anomaly detection, computer vision, and natural language processing
• describe regression algorithms and how they are used to make predictions
• differentiate between labeled and unlabeled data and describe why some AI models require labeled data