Week 3

Python & AI Camp: Build Smart Projects with Machine Learning

๐Ÿ‘ฅ Ages 12-16 (Grades 7-10)๐Ÿ“… July 13 - July 17, 2026โฐ 9am - 3pm

About This Camp

Learn to code in Python - one of the most popular programming languages in the world - while exploring artificial intelligence and machine learning. This camp takes students from Python basics to building real AI-powered projects, all in one week.

No prior coding experience required! We start from the ground up. On day one, students vote on a class project: Fake News Detector, Sudoku Solver, or Intelligent Chatbot. We'll build it together, learning Python fundamentals, how to work with datasets, and machine learning concepts along the way. Then, students design and build their own AI project using real datasets and the skills they've practiced.

Here's what makes this camp unique: students learn "vibe coding" using AI as a virtual assistant to rapidly prototype ideas. They'll build their solo project, then use AI tools to help create a GitHub Pages website to showcase their work online. This isn't just a week of learningโ€”students leave with a real portfolio piece they can show to future employers, include in college applications, or use as momentum for personal projects.

We work with professional tools: Google Colab for Python coding, real datasets, machine learning libraries (NumPy, pandas, scikit-learn), and AI assistants (Claude, Gemini). Students also learn AI ethicsโ€”how to use these tools responsibly and understand their limitations.

Class sizes are small (max 10 students) so everyone gets individualized support while tackling ambitious projects. The week includes deep coding sessions, outdoor breaks, optional enrichment activities, and daily showcases where students present their progress.

๐ŸŽฏ Skills Your Child Will Learn

  • Python programming: Variables, data types, functions, loops, conditionals, data structures
  • Data science: Working with datasets, cleaning data, analyzing patterns
  • Machine Learning fundamentals: Training models, making predictions, evaluating accuracy
  • Large Language Models (LLMs): How AI chatbots work, prompt engineering
  • AI ethics: Bias in data, responsible AI use, understanding limitations
  • Web development: Basic HTML/CSS, GitHub Pages deployment
  • Professional workflows: Using GitHub, debugging with AI assistance, "vibe coding"
  • Software architecture: Planning projects, organizing code, documentation
  • Design thinking: Identifying problems, prototyping solutions, iterating

๐Ÿš€ Projects

Class Project (Days 1-2)

On day one, students vote to build one of three projects together: Fake News Detection (uses NLP to analyze text credibility), Sudoku Solver (uses algorithms to solve puzzles), or Intelligent Chatbot (builds a conversational AI). As we build this project, students learn Python syntax, how to work with data, machine learning concepts, and debugging strategies.

Solo Project (Days 3-5)

Students design their own Python project using ML/AI. They'll work with a dataset and apply the technical skills from the week. Projects must incorporate the topics and tools we've covered. Students sketch their idea on paper, bring it to life with code, then use AI tools to rapidly build a simple website showcasing their project. On the final day, students present their working project and website to the class.

๐Ÿ“š Learning Objectives

By the end of this camp, your child will be able to:

  • Write Python code to solve real problems and build AI projects
  • Explain the fundamentals of machine learning
  • Work with real datasets to find patterns and make predictions
  • Build and train basic machine learning models to make decisions
  • Explain their code clearly enough that other developers could build on it
  • Think critically about AI ethics, bias, and limitations
  • Debug code systematically using error messages and AI assistance
  • Use AI tools (like ChatGPT) responsibly as learning aids, not shortcuts
  • Create a live website showcasing their work
  • Use GitHub to save and share their projects professionally

๐Ÿ› ๏ธ Tools & Technologies

Google ColabPythonVisual Studio CodeNumPypandasscikit-learnClaude AIGemini AIGitHub
$249per week
+ $25 supply fee
๐ŸŽ‰ Early Bird - Save $50!
โ† Back to All Camps

โœ… What's Included

  • All computers, software, datasets, and AI tool access provided
  • Lunch and snacks provided (or bring your own)
  • TaliTech graduation certificate
  • A working AI/ML project with real functionality
  • A GitHub repository containing all code
  • A live website (GitHub Pages) showcasing their project

๐Ÿ“‹ Before Camp Starts

It's helpful (but not required) if students create free accounts before camp: GitHub account (github.com) for saving projects and creating their website, and a Google account for accessing Google Colab. We can also set these up on the first day.

๐Ÿ“ Prerequisites

Soft prerequisite: Any prior coding background OR age 14+. If your child has never coded before and is 12-13, they'll do great but should be ready to learn quickly.

๐Ÿ“… Daily Schedule

Same schedule for all camps. Coding indoors; breaks and lunch outside.

๐Ÿ“ Location: 463 E 1130 N, Bountiful, UT 84010 (Google Maps)

9:00-10:30amDeep Work Coding Block 1
10:30-11:00amOutdoor Break & Snack
11:00-11:45amScreen-Free Enrichment (chess, reading, instruments, origami, maker activities)
11:45am-12:45pmLunch & Recess
12:45-2:00pmDeep Work Coding Block 2
2:00-2:30pmOutdoor Break & Games
2:30-3:30pmProject Showcase & Peer Learning
3:30-4:00pmReflection & Wrap-up

Ready to Join?

Spots are limited to 10 students per camp. Register early to secure your child's place!