Explore our High School Courses
- AI2Go™ Workshop
- Stream I & II
- Introduction to AI
- AI II - Introduction to Machine Learning
AI2Go™ Workshop
Grades 9 - 12
Non-credit
10 hours online live instruction
8-10 hours self study
A “primer” to learn foundational AI concepts, applications and fun hands-on programming
Prerequisites
None; but Introduction to Programming would be helpful
Key Topics
Introduction to AI
- AI fundamentals and applications
- Python basics
- Data structures AI-libraries
Python Programming
- Introduction to Python
- Google Colab
- Variables & Assignments
- Conditionals & Loops
- Functions
- Python Libraries
Machine Learning: Regression
- Machine Learning Workflow
- Linear Regression
- Code: Linear Regression
Machine Learning (ML): Classification
- 7-steps to create ML models
- Logistic Regression
- Code: Logistic Regression
Natural Language Processing (NLP)
- NLP Fundamentals and Applications
- Code: Sentiment Analysis
Deep Learning
- Biological & artificial neuron
- Artificial neural network
- Code: train artificial neural network with Keras
Computer Vision
- Computer Vision concepts & applications
- Convolution operation
- Convolution neural networks (CNN)
- Code: CNN with Keras
Impact of AI on Society
- Impact of AI on health care, retail, agriculture, customer service & more
- Benefits & negative impact of AI on society
Students’ AI Showcase
- Students demonstrate their AI projects
STREAM I & II
Grade 9
Full semester for credit
Learn the inter-connection between Science, Technology, Robotics, Engineering, AI and Mathematics to prepare for STEM academic programs
Prerequisites
Algebra I
Key Topics
Python Programming
Object Oriented Programming
Raspberry Pi and Sensors
3D Models and 3D Printers
Deep Learning Powered Self-Driving Car
Robotics
Future Career Opportunities
Machine Learning Engineer, Data Scientist, Software Developer, Software Engineer, Data Analyst
Introduction to Artificial Intelligence
Grades 10 - 12
Full semester for credit
Learn foundational computer science for AI, theoretical knowledge, applications and hands-on programming
Prerequisites
- Introduction to Programming
- Algebra II/Pre-calculus
Key Topics
Python Programming
Databases
Data Structures
Software Development Methods
Algorithm Analysis
Web Applications and APIs
Future Career Opportunities
Machine Learning Engineer, Data Scientist, Software Developer, Software Engineer, Data Analyst
AI II – Introduction to Machine Learning
Grades 10 - 12
Full semester for credit
Learn the key concepts and application of supervised and unsupervised learning, evaluate, select and train Machine Learning models
Prerequisites
- Introduction to AI
- Basic probability
- Python programming
Key Topics
Machine Learning Fundamentals
Decision Trees
Linear Regression
Text and Image Processing
Logistic Regression
Naïve Bayes
Neural Network
k-Nearest Neighbors
Future Career Opportunities
Machine Learning Engineer, Data Scientist, Software Developer, Software Engineer, Data Analyst
Ready to deploy on average 8 weeks lead time, based on partner school’s technology requirements
For more information about our education programs