Instructor: Ronald J. Daskevich, DCS

What you'll learn

  •   Define Artificial Intelligence and Machine Language
  •   Describe AI tools and roles, and the Microsoft Team Data Science Process
  •   Work with Azure APIs, including those for vision, language, and search
  •   Create, train, test and deploy your AI model in the cloud
  • Skills you'll gain

  •   Application Programming Interface (API)
  •   Computer Vision
  •   Microsoft Azure
  •   Image Analysis
  •   Applied Machine Learning
  •   Application Deployment
  •   Machine Learning
  •   Machine Learning Algorithms
  •   Data Science
  •   Python Programming
  •   Artificial Intelligence and Machine Learning (AI/ML)
  •   Natural Language Processing
  • There are 5 modules in this course

    Next, this course introduces the machine learning tools available in Microsoft Azure. We'll review standardized approaches to data analytics and you'll receive specific guidance on Microsoft's Team Data Science Approach. As you go through the course, we'll introduce you to Microsoft's pre-trained and managed machine learning offered as REST API's in their suite of cognitive services. We'll implement solutions using the computer vision API and the facial recognition API, and we'll do sentiment analysis by calling the natural language service. Using the Azure Machine Learning Service you'll create and use an Azure Machine Learning Worksace.Then you'll train your own model, and you'll deploy and test your model in the cloud. Throughout the course you will perform hands-on exercises to practice your new AI skills. By the end of this course, you will be able to create, implement and deploy machine learning models.

    Standardized AI Processes and Azure Resources

    Azure Cognitive APIs

    Azure Machine Learning Service: Model Training

    Azure Machine Learning Service: Model Management and Deployment

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