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Teacher's Curriculum - Introduction to AI

Suitable for Educators Introducing AI in Classrooms

Teach Artificial Intelligence (AI) in your classrooms effortlessly using AIClub curriculums! We provide progressive curriculums with a wide range and depth. They include lesson guides, videos, presentation material, exercises and assessments, as well as online support. All the material is available online in your account!

This unit provides a gentle introduction to AI and can be taught by educators with varying backgrounds! Get a sneak peak into the curriculum by watching the video!

Teach Artificial Intelligence - a new technology that is shaping our world!

Artificial Intelligence (AI) is how Google search, Alexa, Siri, auto-correct, speech translation, face recognition, self-driving cars, etc. learn from data and humans. Teach this course effortlessly using AIClub curriculums.

Course overview

12 Teaching hours

49 Modules

31 Videos

29 Slide decks

24 Teacher's 



Code Snippets

5 Assessments

4 Activities

Progressive Curriculum

Below are listed a subset of the huge array of curriculums provided by AIClub. You can also explore the corresponding book for them here.

Other Curriculums


AI Ethics

This unit focuses on AI Ethics and is a subset of the curriculum provided in Introduction to AI. It can be taught by educators with varying backgrounds! You can find more information here.



Introduction to Machine learning

This unit provides a gentle introduction to two types of AI algorithms, classification and regression. It covers the metrics used to measure their performance and has several hands-on exercises. You can find more information here.


Programming Console

Machine Learning


This unit provides a gentle introduction to AI algorithms: K-Nearest neighbors, Linear Regression, K-means clustering, neural networks. It contains several hands-on exercises and activities. You can find more information here.


Why our curriculum?

• Designed by AI experts with PhDs in Computer Science!

• Only workshops where students build AIs in their first class! Students love building AIs and learning how they work!

We have no math or programming pre-requisite. If you would like to teach coding related to these concepts, all the material you would need is provided in this module right from the basics, you dont need to know coding in advance! 
Please see our brochure for more info about our programs!


Curriculum contains an introduction to artificial intelligence providing context how we are already using it in our daily life. It also explains how AIs learn from data and the different sources from which data is acquired. It also covers the topic of ethics around creation of AI in the real world and its impact on humans and environment around us.


There is no math or programming pre-requisite to teach this class!

Topics Covered:

Fundamentals of AI

  - Introduction to AI

  - Hierarchy of AI terms

  - Benefits and challenges of AI

  - AI vs Robotics

  - How is AI used in space

How AI Learns

   - How does an AI learn

   - How AIs get built

   - Stages of AI lifecycle

   - AI and self-driving cars

   - Object detection system in a Tesla

Data for AI

    - Sources of data

    - Data transformations

    - Statistics of data

    - Data visualization

    - Data storytelling

 AI Ethics

    - AI Trust and Bias

    - AI and Privacy

    - Hands-on exercises

    - Discussion

 Python Basics

    - Data Types and Print

    - User input

    - Conditionals

    - Loops

    - Try/Catch

    - Modules

Python Exercises

    - Read tabular data

    - Read text data

    - Read audio data

    - Read image data

    - Data Visualization

What teachers take away

• A good understanding of AI - a fascinating and fundamental technology that is changing our world.

• Everything they need to teach AI in a classroom.

What students have accomplished after using these curriculums!