AI-900: Microsoft Azure Artificial Intelligence Fundamentals

About this course

This is the course based on latest syllabus , by attending this course you will be gaining the fundamental knowledge on Artificial Intelligence. Even if you are planning to write the exam later then also you can go through this course it will help you to understand and clear your basic for AI.If you are looking to start your journey into the Azure then this course is for you too. You can start your journey into the cloud with Artificial Intelligence. There is no need to write any code. You need to understand the basics.You will be taught below Skills MeasuredDescribe Artificial Intelligence workloads and considerations (15-20%)Identify features of common AI workloads· identify prediction/forecasting workloads· identify features of anomaly detection workloads· identify computer vision workloads· identify natural language processing or knowledge mining workloads· identify conversational AI workloads Identify guiding principles for responsible AI· describe considerations for fairness in an AI solution· describe considerations for reliability and safety in an AI solution· describe considerations for privacy and security in an AI solution· describe considerations for inclusiveness in an AI solution· describe considerations for transparency in an AI solution· describe considerations for accountability in an AI solutionDescribe fundamental principles of machine learning on Azure (30- 35%)Identify common machine learning types · identify regression machine learning scenarios· identify classification machine learning scenarios· identify clustering machine learning scenarios Describe core machine learning concepts· identify features and labels in a dataset for machine learning· describe how training and validation datasets are used in machine learning· describe how machine learning algorith

Course objectives

• Describe Artificial Intelligence workloads and considerations
• Identify key features of common AI and machine learning scenarios
• Explain core machine learning concepts related to prediction, classification, and clustering