Syllabus

• Week 1

  Get started with artificial intelligence correct

  • Get started with AI on Azure

    With AI, we can build solutions that seemed like science fiction a short time ago; enabling incredible advances in health care, financial management, environmental protection, and other areas to make a better world for everyone.

  • Key workloads of AI

    Simply put, AI is the creation of software that imitates human behaviors and capabilities. Let's learn about the key workloads of AI.

  • Understand responsible AI

    At Microsoft, AI software development is guided by a set of six principles, designed to ensure that AI applications provide amazing solutions to difficult problems without any unintended negative consequences.

• Week 2

  Explore visual tools for machine learning correct

  • Use automated machine learning in Azure Machine Learning

    In this activity, you will learn how to use automated machine learning in Azure Machine Learning.

  • Create a regression model with Azure Machine Learning designer

    In this activity, you will learn about creating a regression model with Azure Machine Learning designer

  • Create a classification model with Azure Machine Learning designer

    In this activity you will learn how to create a classification model with Azure Machine Learning designer.

  • Create a clustering model with Azure Machine Learning designer

    In this activity, you will learn how to create a clustering model with Azure Machine Learning designer.

• Week 3

  Explore Computer Vision

  • Analyze images with the Computer Vision service

    The Computer Vision service enables software engineers to create intelligent solutions that extract information from images; a common task in many artificial intelligence (AI) scenarios.

  • Classify images with the Custom Vision service

    Image classification is a common workload in artificial intelligence (AI) applications. It harnesses the predictive power of machine learning to enable AI systems to identify real-world items based on images.

  • Detect objects in images with the Custom Vision service

    Object detection is a form of computer vision in which artificial intelligence (AI) agents can identify and locate specific types of object in an image or camera feed.

  • Detect and analyze faces with the Face service

    Face detection, analysis, and recognition is an important capability for artificial intelligence (AI) solutions. The Face cognitive service in Azure makes it easy integrate these capabilities into your applications.

  • Read text with the Computer Vision service

    Optical character recognition (OCR) enables artificial intelligence (AI) systems to read text in images, enabling applications to extract information from photographs, scanned documents, and other sources of digitized text.

  • Analyze receipts with the Form Recognizer service

    Processing invoices and receipts is a common task in many business scenarios. Increasingly, organizations are turning to artificial intelligence (AI) to automate data extraction from scanned receipts.

• Week 4

  Explore Natural Language Processing

  • Analyze text with the Language service

    Explore text mining and text analysis with the Language service's natural language processing (NLP) features, which include sentiment analysis, key phrase extraction, named entity recognition, and language detection.

  • Recognize and synthesize speech

    Learn how to recognize and synthesize speech by using Azure Cognitive Services.

  • Translate text and speech

    Automated translation capabilities in an AI solution enable closer collaboration by removing language barriers.

  • Create a language model with Conversational Language Understanding

    In this module, we'll introduce you to Conversational Language Understanding, and show how to create applications that understand language.

• Week 5

  Explore conversational AI

  • Build a bot with the Language Service and Azure Bot Service

    Bots are a popular way to provide support through multiple communication channels. This module describes how to use a knowledge base and Azure Bot Service to create a bot that answers user questions.