The Course Structure

This course consists of the following modules:

Introduction To Artificial Intelligence: a general introduction to artificial intelligence and the various subdomains like computer vision and natural language processing. This module introduces you to the types of AI solutions possible with Microsoft Azure services.

Machine Learning: this module will teach you fundamental machine learning concepts including supervised and unsupervised learning, feature engineering, model training, and evaluation. You'll learn how to use Azure Machine Learning to train and deploy models without requiring deep data science expertise.

Computer Vision: in this module we will dive into computer vision capabilities in Azure, including image classification, object detection, and facial recognition. You'll learn how to use Azure AI Vision and Azure AI Face services to analyze visual content.

Natural Language Processing: next is a module which will teach you how to work with text data using Azure AI services. We'll cover text analysis, language understanding, and how to build conversational AI solutions with Azure AI Language and Azure AI Bot Service.

Generative AI: we'll conclude with a look at generative AI concepts and Azure OpenAI Service, which enables you to build applications that generate content, summarize text, and create conversational experiences.

Each module starts with an introduction and continues with a set of 5-minute video lessons that explain a specific topic. Then there's a recap to summarize everything you've learned, and a quiz to test your knowledge. The module concludes with practical examples that demonstrate how to apply what you just learned using Azure AI services and the Azure portal.

And at the end of the course, there's a course recap with a summary of everything you've learned throughout the entire course to help you prepare for the AI-900 certification exam.