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Microsoft Future Ready: Introduction to Artificial Intelligence

Artificial Intelligence will define the next generation of software solutions. This AI course includes hands-on labs exercises.

Microsoft Future Ready: Introduction to Artificial Intelligence
  • Duration3 weeks
  • Weekly study6 hours
This course is part of the Artificial Intelligence on Microsoft Azure: Machine Learning and Python Basics program, which will enable you to explore Azure’s AI functionality and learn Python basics for machine learning.

In this course you would be able to learn and apply foundational AI skills

Artificial Intelligence will define the next generation of software solutions. This computer science course provides an overview of AI, and explains how it can be used to build smart apps that help organizations be more efficient and enrich people’s lives. It uses a mix of engaging lectures and hands-on activities to help you take your first steps in the exciting field of AI.

Discover how machine learning can be used to build predictive models for AI. Learn how software can be used to process, analyze, and extract meaning from natural language; and to process images and video to understand the world the way we do. Find out how to build intelligent bots that enable conversational communication between humans and AI systems.

What topics will you cover?

  • Introduction
  • Machine Learning – The Foundation of AI
  • Text and Speech – Understanding Language
  • Computer Vision – Seeing the World Through AI
  • Bots – Conversation as a Platform
  • Next Steps and Real-world Applications

What will you achieve?

By the end of the course, you‘ll be able to...

  • Apply the use of Python and Microsoft Cognitive Services to work with Text, Speech, Images, and Videos
  • Apply the use of the Microsoft Bot Framework to implement conversational bots
  • Apply the concept of Artificial Intelligence in a real-world scenarios
  • Identify terminology used in Artificial Intelligence and Machine Learning
  • Develop simple machine learning models with Azure Machine Learning
  • Perform experiments with Regression, Classification, and Clustering Models

Who is the course for?

This self-paced course is designed for learners that have at least the following (but not limited to):

  • Senior High-school level math and statistics.
  • A basic knowledge of programming – Python would be an advantage, but is not essential.
  • A willingness to learn through exploration and perseverance.

What software or tools do you need?

The Upgrade version of this course will include all the required hands-on lab practice environments to be used by students and learners on this course, powered by CloudSwyft.

These are the Azure Tenant Portal Sandbox and Live Hands-On Lab Environment with Lab Activities to accomplish.

Who developed the course?

CloudSwyft Global Systems, Inc.

CloudSwyft has partnered with the top global technology companies to deliver cutting edge digital skills learning across the modern workplace.