MACHINE LEARNING - AI DEEP
AI Detectives: Visual Intelligence for Real-World
Ages 13 - 17
July 27th - July 31st , 2026
The image flashes on the screen for just a moment: crowded, chaotic, packed with colour and motion. Somewhere inside it is the detail that matters. A character. An object. A clue.
You see it almost instantly. The computer doesn’t.
To a machine, every pixel looks the same unless it’s been trained to know what it’s looking for. In games, simulations, and real-world systems, the ability to “see” correctly can mean winning or losing, acting or missing the moment entirely. What if a computer had to find Waldo in a crowded image, or decide which details actually matter?
Camp Schedule
- Dates: July 27th - July 31st , 2026
- Time: 9:00 am – 4:00 pm
- WEEK: 5
- Cost: $660.00 + HST
- Early Bird Discount: Ends March 31st - $580.00 + HST
- Sibling Discount: $25.00 OFF
- Extended Care (OPTIONAL): $120.00 HST (8:00 AM – 9:00 AM, 4:00 PM – 5:00 PM)
MACHINE LEARNING - AI DEEP
In AI Detectives: Visual Intelligence for the Real World, teens take on the role of AI investigators. Their mission: teach intelligent systems how to spot what matters in visual chaos, whether it’s finding a hidden target like Waldo, recognizing key elements in a game scene, or identifying patterns humans take for granted.
Through engaging, real-world inspired challenges, students explore how visual AI is actually used and why data quality, bias, and accuracy matter just as much as code. Students use Python to train, test, and refine image classification systems that help computers recognize patterns, categorize images, and flag important details.
Along the way, students discover that training AI isn’t about giving answers, it’s about asking the right questions, testing assumptions, and deciding what should matter in the first place.
Solution Topic
Through hands-on investigation and guided experimentation, your teen learns how computers are taught to "see" and make decisions.
Campers will explore topics such as:
- How do you train a computer for the next best move?
- Training AI Bias Ethical AI
Design, Experiment, Build
Your teen will:
- Understand how image classification works in the real-world AI systems
- Learn how Machine Learning models are trained and tested
- Explore how data quality affects AI accuracy
- Analyze why AI systems make mistakes
- Learn how bias can appear in
- AI and how to reduce it
- Build confidence working with real AI tools and concepts
This camp is ideal for teens curious about AI, data science, computer vision, or ethical technology.
AI in this Camp
This camp introduces teens to foundational Machine Learning concepts used in professional AI systems, including:
- Image classification workflows
- Training vs testing models
- Pattern recognition and prediction
- Model evaluation and improvement
- Bias, accuracy, and ethical considerations
Students gain a clear understanding of how AI systems learn and why responsible design matters.
Camp Learning Journey
Day 1: How Machines See Foundations of Visual AI
Teens are introduced to Machine Learning and computer vision. Students explore how images are represented as data and begin working with Python to analyze and organize image datasets.
Day 2: Training an AI - From Examples to Predictions
Students train their first image classification models. Teens learn the difference between training and testing data and see how models make predictions based on patterns.
Day 3: Accuracy, Errors & Bias - When AI Gets It Wrong
Teens investigate misclassifications and analyze why models fail. Students explore bias in datasets and learn how incomplete or unbalanced data can lead to unreliable results.
Day 4: Improving Intelligence - Refinement & Real-World Scenarios
Students refine their models by improving datasets and adjusting training approaches. Teens connect their work to real-world applications such as security systems, quality control, and environmental monitoring.
Day 5: AI Investigation Showcase - Explaining Intelligence
Teens present their image classification systems, explain how they trained them, and discuss the ethical and practical implications of their AI decisions.
What Will You Learn?
- Python for Machine Learning workflows
- Image data preparation and labelling
- Training and testing classification models
- Model accuracy and evaluation
- Bias detection and mitigation
- Ethical considerations in AI systems
What Will You Make?
- One or more trained image classification models
- Python programs for training and testing AI systems
- Visual analysis reports showing predictions and errors
- A real-world inspired AI investigation project
What Will You Take?
- Your Python code and trained models
- Experience working with real Machine Learning concepts
- A strong foundation in computer vision and AI thinking
- Confidence in explaining how AI systems make decisions
Friday Fun Day
Camp concludes with an AI Investigation Showcase, where teens present their findings, demonstrate their models, and explain how their AI systems interpret images and make decisions.
PIZZA LUNCH DAY (Campers enjoy PIZZA lunch Party on Friday - On us!)
Artificial Intelligence & Data Skills
- Machine Learning Fundamentals
- Computer vision concepts
- Data-driven decision-making
Critical Thinking
- Analyzing system errors
- Evaluating bias and fairness
- Interpreting results responsibly
Future-Ready Skills
- Ethical technology awareness
- Technical communication
- Analytical problem-solving
Skills Gained
Why Does This Camp Matter?
Image classification powers many of today’s most important technologies, from medical imaging and autonomous vehicles to security systems and environmental monitoring. Understanding how these systems work is essential for the next generation of innovators.
This camp helps teens:
- Move beyond buzzwords and understand AI at a foundational level
- Learn how data choices affect real-world outcomes
- Explore careers in AI, data science, engineering, and research
- Develop ethical awareness alongside technical skills
For teens interested in shaping how technology impacts society, this camp offers a meaningful starting point.