AI For Everyone

Categories: AI For Everyone
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About Course

About this Course

AI is not only for engineers. If you want your organization to become better at using AI, this is the course to tell everyone–especially your non-technical colleagues–to take. In this course, you will learn: – The meaning behind common AI terminology, including neural networks, machine learning, deep learning, and data science – What AI realistically can–and cannot–do – How to spot opportunities to apply AI to problems in your own organization – What it feels like to build machine learning and data science projects – How to work with an AI team and build an AI strategy in your company – How to navigate ethical and societal discussions surrounding AI Though this course is largely non-technical, engineers can also take this course to learn the business aspects of AI.

AI for Everyone: Master the Basics | SkillUp Online

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Course Content

Week 1 – What is AI?
Instructor's NoteAndrew Ng Welcome to AI For Everyone! You’re joining thousands of learners currently enrolled in the course. I'm excited to have you in the class and look forward to your contributions to the learning community.To begin, I recommend taking a few minutes to explore the course site. Review the material we’ll cover each week, and preview the assignments you’ll need to complete to pass the course. Click Discussions to see forums where you can discuss the course material with fellow students taking the class.If you have questions about course content, please post them in the forums to get help from others in the course community. For technical problems with the Coursera platform, visit the Learner Help Center.Good luck as you get started, and I hope you enjoy the course!

  • Week 1 Introduction
    00:00
  • Machine Learning
    00:00
  • What is data?
    00:00
  • The terminology of AI
    00:00
  • What makes an AI company?
    00:00
  • What machine learning can and cannot do
    00:00
  • More examples of what machine learning can and cannot do
    00:00
  • Non-technical explanation of deep learning
    00:00
  • Non-technical explanation of deep learning Part 2
    00:00

Week 2 – Building AI Projects

Week 3 Building AI In Your Company

Week 4 AI and Society

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