Artificial Intelligence and Machine Learning - AI/ML Coding Computer Science
This comprehensive 16-week course introduces students to artificial intelligence and machine learning through Code.org's hands-on curriculum. Students will learn to create ML models, build interactive apps, and explore real-world of AI.
What's included
16 live meetings
16 in-class hoursProjects
1 hour per week. includedCertificate of Completion
includedClass Experience
In this engaging 16-week course, students dive deep into the fascinating world of artificial intelligence and machine learning using Code.org's proven curriculum. The class meets weekly for 55-minute live sessions that combine structured learning with hands-on coding practice. Class Experience: This course is thoughtfully structured to build understanding from the ground up: What Will Be Taught: Fundamentals of artificial intelligence and machine learning How computers learn from data to make decisions Building and training ML models using AI Lab Creating interactive apps with App Lab Understanding AI ethics and real-world applications Weekly Structure: First 15 minutes: Concept introduction and demonstration Middle 30 minutes: Guided hands-on practice with real-time support Final 10 minutes: Share work, troubleshoot, and preview next week's content Teaching Style & Interaction: Interactive instruction with frequent opportunities for questions and discussion Live coding demonstrations where students can follow along Small group activities to explore concepts like data classification and pattern recognition Regular opportunities to share projects and get feedback from peers Individual support during hands-on practice sessions Topics Covered Week by Week: Weeks 1-4: Introduction to App Lab and machine learning foundations Weeks 5-8: Working with data patterns and classification models Weeks 9-12: Building and improving machine learning models Weeks 13-16: Advanced concepts and final project development Student Engagement: Students actively participate through live coding exercises Regular group discussions about AI applications and ethics Interactive problem-solving activities Project sharing and peer feedback sessions Hands-on practice with real-world datasets By the end of this course, students will have created multiple working applications using machine learning, developed a strong understanding of AI concepts, and gained practical experience with industry-standard tools. Note: This course uses Code.org's curriculum and platforms (App Lab and AI Lab) which are free and accessible to all students. No additional software purchases are required.
Learning Goals
Create interactive applications using App Lab's JavaScript environment, incorporating features like buttons, text input, and multiple screensTrain machine learning models using AI Lab to recognize patterns and make data-driven predictions
Syllabus
16 Lessons
over 16 WeeksLesson 1:
Intro to App Lab
Learn to use App Lab to build apps with buttons, text, images, and sounds.
- Control buttons, text, and images in JavaScript.
- Design interactive screens in App Lab.
- Share your app with friends and family. 60 mins online live lesson
Lesson 2:
Introduction to Machine Learning
Discover how machines learn from data using patterns to make decisions.
- Train a robot to detect fish patterns.
- Understand how data helps machines learn.
- Solve problems using machine learning. 60 mins online live lesson
Lesson 3:
Types of Machine Learning
Explore different ways machines learn, like supervised and unsupervised learning.
- Simulate machine learning with activities.
- Understand supervised and unsupervised learning.
- Identify types of learning from examples. 60 mins online live lesson
Lesson 4:
Innovations in AI
Learn how AI helps solve real-world problems like supporting visually impaired people.
- Explore AI applications like Seeing AI.
- Research real-world AI innovations.
- Share findings on AI's societal impact. 60 mins online live lesson
Other Details
Parental Guidance
This course uses Code.org's curriculum and platform which is designed specifically for students aged 11 and up. While we discuss artificial intelligence and its societal impacts, all content is age-appropriate and focuses on positive applications of technology. In Lesson 15, we will discuss ethical considerations in AI development, including examples of AI bias and fairness issues, which may lead to thoughtful discussions about technology's impact on society.
External Resources
In addition to the Outschool classroom, this class uses:
Sources
Primary Curriculum: Code.org's AI & Machine Learning Course (2024-2025 version)
AI Lab and App Lab - Code.org's educational platforms
Supplemental materials from:
MIT App Inventor's AI curriculum
AI4K12.org guidelines
Common Sense Media's Digital Citizenship resources for AI topics
Joined December, 2024
Teacher expertise and credentials
4 Degrees
Master's Degree in Science from 🏅 Sullivan University
Master's Degree in Business Administration and Management from 🏛️ Sullivan University
Bachelor's Degree in Information Technology from 🏫 Kaplan University
Associate's Degree in Liberal Arts and Sciences from 🏅 Des Moines Area Community College
I have a double masters in Business and Technology. and a bachelor'sdegree in Information Technology. Reviews
Live Group Course
$15
weekly or $237 for 16 classes1x per week, 16 weeks
60 min
Live video meetings
Ages: 11-16
2-8 learners per class
