Pioneers Academy for High School

Hands-on AI Summer Bootcamp for Students in High School. Today's AI enthusiasts in school are tomorrow's AI developers, leaders & entrepreneurs in industry. Build meaningful AI applications, master deep-learning fundamentals, and become an AI innovator in just 4 weeks. Gain mentorship from AI researchers at top US universities & Fortune 500 companies.

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Limited Spots Available - Only 10 Students

Courses are already running for June
Upcoming Courses will start for:
July
August
September

Taught by world class mentors from universities like NYU & industries like Microsoft

Duration

4 weeks - 8 sessions

Class Size

Limited to 10 Students

Certificate

Included with Course

Cost

$600 after 25% off

Why AI Skills Are Essential for High Schoolers

AI is not the future, it's the present. High School Students with AI literacy have a massive advantage in college admissions, scholarships, and future careers.

College Advantage

AI projects in your portfolio make you stand out in competitive college applications. Show admissions officers you're ahead of the curve.

Future-Proof Skills

Every industry is being transformed by AI. From healthcare to entertainment, AI skills open doors to unlimited career opportunities.

Make Real Impact

Build AI solutions that solve real-world problems and help people. Create technology that makes a meaningful difference in society.

AI Learning Progression: From Beginner to Advanced

Structured progression from Python foundations to advanced AI applications.

Beginner: API Integration & NLP
Intermediate: Computer Vision & Transfer Learning
Advanced: Medical AI & CNNs

Our 4-week intensive program focuses on one project. Not sure about where to begin? Contact us directly or choose any level!

Prerequisite
Prerequisite

Python for AI

Rock-solid programming foundation before diving into AI

Focus:

Core Python concepts, data structures, control flow, NumPy

Goal:

Write clean, functional Python code for any AI programming challenge

Beginner
Beginner

AI Co-Writer

Interactive storytelling game with creative AI partnership

Focus:

Generative Text AI API (Hugging Face or LLM API)

Goal:

Make successful API calls to real AI models and use generated output

Beginner
Beginner

Public Speaking Assistant

AI-powered feedback system for speech improvement

Focus:

Speech-to-Text API, Speech Emotion Recognition, NLP analysis

Goal:

Chain multiple AI APIs to build simple functional applications

Intermediate
Intermediate

Live Gesture AI Game

Real-time Rock Paper Scissors using Computer Vision

Focus:

OpenCV, MediaPipe, Real-time Video Processing

Goal:

Build real-time computer vision applications with advanced AI models

Intermediate
Intermediate

Landslide Detection

Analyzing satellite images for environmental monitoring

Focus:

Transfer Learning, Satellite Image Analysis, Basic CV Model

Goal:

Apply pre-trained models to classify satellite images for environmental impact

Advanced
Advanced

Parkinson's Prediction

Analyzing handwritten spirals for early diagnosis

Focus:

Transfer Learning, Medical Image Analysis, Pre-trained Model

Goal:

Apply AI to solve real medical challenges with transfer learning

Advanced
Advanced

Pet Sentiment Predictor

Using CNN & ResNet18 to predict pet emotional states

Focus:

Custom CNN Architecture, ResNet18, Image Classification

Goal:

Design and train custom neural networks for specialized tasks

Complete AI Learning Pathway

Our structured beginner-to-advanced progression takes you from Python foundations to advanced AI applications. The 4-week intensive focuses on intermediate projects by default, where you'll build real-time AI oriented games and landslide detection tools using technologies like OpenCV, MediaPipe, & other CV models.

Your 4-Week Journey

Our 4-week intensive program focuses on one project. Not sure about where to begin? Contact us directly or choose any level!

Week 1

AI Foundations & Python Mastery

Build solid conceptual and coding foundation - from zero to functional Python

Session 1: The AI Universe (2 hours)
Core Topics:
  • What is Intelligence? Artificial vs. Human - defining intelligence beyond technicalities
  • The AI Family: Machine Learning & Deep Learning with real-world analogies
  • Three Flavors of Learning: Supervised, Unsupervised, Reinforcement
  • AI Ethics & Responsible Innovation - bias prevention and fairness principles
Hands-on Activities:
  • Interactive poll: 'Where have you seen AI today?' with pattern recognition discussion
  • Visual mapping: Drag-and-drop real examples into AI/ML/DL categories
  • 'Be the AI' game: Experience different learning types hands-on
Session 2: Python Power-Up (2 hours)
Core Topics:
  • First Steps: Setting up your AI development environment
  • Intro to Google Colab: Cloud-based Python notebooks
  • Python fundamentals: Variables, loops, functions, and data structures
  • Data manipulation with NumPy and Pandas
Hands-on Activities:
  • 'Mad Libs' in Python: Creative variable and print() practice
  • Number guessing game: Interactive conditionals and loops
  • First data visualization: NumPy arrays plotted with Matplotlib
📚 Homework & Practice:

Complete curated Python challenges on HackerRank • Set up GitHub account

Week 2

Project-Specific Foundations

Master the core concepts and tools needed for your chosen project

Session 3: Project-Specific Tools (2 hours)
Core Topics:
  • Introduction to project-specific libraries and frameworks
  • Setting up development environment for your project
  • Understanding project requirements and success metrics
  • Data collection and preprocessing techniques
Hands-on Activities:
  • Set up project environment and required dependencies
  • Explore and understand project dataset
  • Create initial project structure and documentation
Session 4: Project Implementation - Part 1 (2 hours)
Core Topics:
  • Core algorithm implementation
  • Data processing pipeline development
  • Initial model training and testing
  • Performance metrics and evaluation
Hands-on Activities:
  • Implement core project functionality
  • Build basic data processing pipeline
  • Train and test initial model version
📚 Homework & Practice:

Polish initial implementation • Document progress and challenges

Week 3

Advanced Implementation

Enhance your project with advanced features and optimizations

Session 5: Advanced Features (2 hours)
Core Topics:
  • Implementing advanced project features
  • Performance optimization techniques
  • Error handling and edge cases
  • User interface development
Hands-on Activities:
  • Add advanced features to your project
  • Optimize performance and resource usage
  • Implement robust error handling
Session 6: Project Implementation - Part 2 (2 hours)
Core Topics:
  • Final model training and tuning
  • User interface refinement
  • Integration testing
  • Documentation and code review
Hands-on Activities:
  • Complete project implementation
  • Refine user interface and experience
  • Conduct thorough testing and debugging
📚 Homework & Practice:

Finalize project implementation • Prepare comprehensive documentation

Week 4

Project Polish & Professional Showcase

Perfect your project and present to industry professionals

Session 7: Professional Development (2 hours)
Core Topics:
  • Code quality and documentation
  • Project presentation skills
  • GitHub portfolio preparation
  • AI career pathways and next steps
Hands-on Activities:
  • Create comprehensive project documentation
  • Build project showcase website
  • Practice technical presentation
Session 8: Innovator's Showcase & Graduation (2 hours)
Core Topics:
  • Live project demonstration
  • Technical Q&A session
  • Peer review and feedback
  • Certification and next steps
Hands-on Activities:
  • 15-minute project presentation
  • Industry professional panel discussion
  • Certificate ceremony and portfolio finalization
📚 Homework & Practice:

Final portfolio preparation • Update LinkedIn and GitHub profiles

Frequently Asked Questions

Have questions about our Summer Camp? Here are some common queries we receive from students and parents.

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