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Cloudswyft

Microsoft Future Ready: Designing and Implementing an Azure AI Solution

Cloudswyft via FutureLearn

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Overview

Explore Microsoft Azure fundamentals and improve your data science process

During this course, you’ll explore the data science process and how this can be supported using solutions within Microsoft Azure. Alongside industry experts, you’ll delve into the theory of machine learning before gaining hands-on experience to strengthen your knowledge of Microsoft Azure.

This course was created by the Microsoft World Wide Learning team for data scientists, with the aim of supporting the exam DP-100: Designing and Implementing a Data Science Solution on Azure.

Learn how to use automation within your data science projects

Machine learning is transforming many industries, including data science, and is being used to streamline processes for more effective results.

You’ll explore machine learning model training and deployment which will allow you to use a greater degree of automation within your data science projects.

Improve your data modelling with Microsoft Azure

During the course, you’ll be guided by industry experts to review the machine learning capabilities available in Microsoft Azure. You’ll also learn how to use this powerful platform for model selection automation, local model training, model management, and monitoring.

Gain hands-on experience by building a chatbot

Once you have understood the functionality of Microsoft Azure, you’ll gain practical experience by building a simple chatbot using generative AI.

By putting your knowledge into practice you can solidify what you have learned and also have the opportunity to customise and troubleshoot within the platform.

This course is best suited to aspiring data scientists and those whose job responsibilities primarily fall into the area of data science.

If you want to further your knowledge, you may also be interested in these courses from the same provider, which share the same subject and overall learning outcomes. Access them here:

  • Microsoft Future ready: Ethics and Law in Data and Analytics
  • Microsoft Future Ready: Data Science Research Methods Using Python Programming
  • Microsoft Future Ready: Principles of Machine Learning with Python Programming

Syllabus

  • Course Introduction
    • About this Course
    • Overview of Azure Cognitive Services
    • Azure Cognitive Service Accounts
    • Introduction to Bots
    • Wrapping up the week
  • Introducing Language Understanding
    • Bot Framework and the Bot Emulator
    • CloudSwyft Labs
    • Introducing Language Understanding
    • Building Intents, Utterances and Entities
    • Language Understanding and AI Applications
    • CloudSwyft Labs and Wrapping up the week
  • QnA Maker, Knowledge Bases and Cognitive Services for Bot Interactions
    • Introducing the QnA Maker
    • Implementing a Knowledge Base with QnA Server
    • Understanding Cognitive Services for Bot Interactions
    • CloudSwyft Lab and Wrapping up the Course

Taught by

Daniela Piedrahita

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