AI Fundamentals

Learn the fundamentals of AI. No programming experience required!

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4 Hours14 Videos49 Exercises14,544 Learners
3350 XP

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Course Description

So what is all this AI fuss about? Machine Learning, Deep Learning, Predictive Analytics -- what is the reality behind the hype? How do machines actually learn and what are their limits? How can we use Machine Learning to recognize written digits, predict customer churn and find structure in Elon Musk's tweets? All this -- and much more -- is the topic of this course, which will introduce you to the world of AI in a gentle, but firm and very practical manner.

  1. 1

    Introduction to AI

    Free

    Understand the definition of AI ( “general” and “narrow”), the relationship between AI and Machine Learning, and will the robots take over the world - soon?

    Play Chapter Now
    Do androids dream of electric sheep?
    50 xp
    General vs Narrow AI
    50 xp
    Why Python?
    50 xp
    The elephant in the room
    100 xp
    All models are wrong but some are useful
    50 xp
    Parameters & hyper-parameters
    100 xp
    Too much of a good thing
    100 xp
    Three flavors of Machine Learning
    50 xp
    Guess the flavor I
    50 xp
    Guess the flavor II
    50 xp
    Simple digit recognition
    100 xp

In the following tracks

Data Skills for Business

Collaborators

Hadrien LacroixHillary Green-Lerman
Nemanja Radojković Headshot

Nemanja Radojković

Senior Data Scientist @ Dataroots

Nemanja's areas of expertise include Machine Learning, Text Mining and Computer Vision. He is currently a Senior Data Scientist at Dataroots, where he helps businesses to harvest the power of their data. He has worked with industries as varied as manufacturing, life sciences & healthcare, and transportation services & infrastructure.
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Lloyds Banking Group

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Harvard Business School

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