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
guides
25
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.
Machine Learning
Algorithms
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!
Description
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.