Suitable for Educators Introducing AI and Machine Learning 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 an introduction to two types of AI, Classification and Regression.
If you are starting to teach your first class in AI, we recommend checking out the introductory unit first. You can find the introductory unit here.
Get Introduced to Artificial Intelligence and Machine Learning - 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
10
Teaching hours
32
Modules
22 Videos
10
Slide decks
21 Teacher's
guides
17
Code Snippets
2 Assessments
6 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.
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 requirement. If they would like to code, they can do that also!
Description
Curriculum contains an introduction to two types of artificial intelligence (AI)/Machine Learning algorithms, classification and regression. It also covers different metrics used to measure the performance of these algorithms.
We recommend teaching the Introduction to AI class before this one. You can find information about it here.
Topics Covered:
• Fundamentals of AI
- Introduction to AI
- Hierarchy of AI terms
- Benefits and challenges of AI
- How does an AI learn
- How AIs get built
- How Navigator is built on Cloud
• Classification
- Introduction to Classification
- Introduction to Accuracy
- Adult vs Child Exercise
- Confusion Matrix
- AI in Real Life - Detecting COVID with Smart Watches
• Regression
- Introduction to Regression
- Regression Metrics
- Averages Dataset
- RMSE vs MAE
- Exercise: Car Prices Dataset
- Rules vs AI
- AI in Real Life - Dynamic Pricing
• Python Concepts
- Data-types and input/output
- Loops and conditionals
- Lists
- Modules - Pandas
- Scikit-learn
• Python Exercises
- Accuracy with binary classification
- Accuracy with multi-class classification
- Confusion matrix with binary classification
- Confusion matrix with multi-class classification
- Mean Absolute Error
- Root Mean Square Error
What teachers take away
• A good understanding of AI, its types and metrics to measure it.
• Everything they need to teach AI in a classroom.
What students have accomplished after using these curriculums!
Purchase
Purchasing this curriculum will give you access to all the materials such as slides, videos, teachers guides, discussions, assessments etc needed to teach this course in your classroom.
Introducing the AIClub Textbook !
Artificial Intelligence is all around us. For Middle School and High School students, AI is an opportunity to build critical future skills. Learn how to apply technology to solve real-world problems in varied disciplines from medicine to social good. Develop independent opinions about these technologies and how they affect human lives. This textbook covers the fundamentals of AI at a level of math and coding that matches middle school and high school capabilities.
Purchase your own AIClub textbook from the link below!
Assessment Key for Unit 2
Assessment key for the questions in chapters 5-6 of the book is provided here.
Supriya Bhuwalka, Educator India
Working with AIClub’s educator program to launch my own AI Classes was a great experience. The material energizes students: they are excited to learn more and want to build real world solutions using AI. The AIClub team was very helpful throughout the pilot process. I am expanding my education practice and launching AI classes with the help of AIClub!
Education Programs,
Mission Bit
The AIClub workshop was a great introduction to artificial intelligence. I could see that the students understood the current real world applications of it and were excited about developments in the future.
Instructor, Silicon Valley Continuing Technical Education
My 11th and 12th grade students at Silicon Valley Career Technical Education enjoyed learning AI from AIClub's High School Programs. It was a valuable experience to help them prepare for future careers. The AIClub's High School curriculum has the depth to engage students as well as an easy to use web interface. It is a Program that any Computer Science or STEAM teacher could use to teach AI.