Summer 2025 Early Application Deadline is May 15th at 12:00 AM EST. Apply today to secure your spot.
Summer 2025 Early Application Deadline is May 15th at 12:00 AM EST. Apply today to secure your spot.
Summer 2025 Early Application Deadline is May 15th at 12:00 AM EST. Apply today to secure your spot.
Intermediate
Transform Your Teen from Code Beginner to AI Builder in 8 Weeks
Transform Your Teen from Code Beginner to AI Builder in 8 Weeks
A structured journey from AI fundamentals to portfolio-ready projects in small cohorts with dedicated student mentors who've worked on AI at top university research labs, elite startups, and F500 companies
A structured journey from AI fundamentals to portfolio-ready projects in small cohorts with dedicated student mentors who've worked on AI at top university research labs, elite startups, and F500 companies
Who is this for?
Who is this for?
AI Innovators is made for driven high school students curious about AI, computer science, and the real-world applications of machine learning. For those that want to build real things and understand how AI powers the world around you. Whether you're dreaming of publishing research, launching a startup, or just understand how to use AI to be more productive, this is your launchpad.
Prerequisite: Be comfortable writing basic Python code.
Summer 2025:
Summer 2025:
8 Weeks: June 22nd - August 15th
8 weeks: June 22 - August 15th
We structure each week to balance instruction, hands-on building, and personalized support — all centered around one major topic and project at a time.
Each week focuses on a specific AI concept (curriculum outlined below) with a structured approach that balances learning and building:
Sundays 7-9pm EST, Topic Deep Dive
Sundays 7-9pm EST, Topic Deep Dive
Wednesdays, Build with Your Cohort
Wednesdays, Build with Your Cohort
Friday, Office Hours & 1-on-1 Support
Friday, Office Hours & 1-on-1 Support
Each week ends with a deliverable — a tangible piece of work that showcases your understanding and creativity. By the end of the program, you’ll have a portfolio of original AI projects and the skills to build independently.
Each week ends with a deliverable — a tangible piece of work that showcases your understanding and creativity. By the end of the program, you’ll have a portfolio of original AI projects and the skills to build independently.
Taught by
Taught by
Weekly Curiculum
What is AI?
Before diving into code we'll discuss AI at a conceptual level and understand what it actually means. Skills: Python essentials review, Google Colab environment setup, introduction to NumPy, basic algorithm development, and computational thinking
What is AI?
Before diving into code we'll discuss AI at a conceptual level and understand what it actually means. Skills: Python essentials review, Google Colab environment setup, introduction to NumPy, basic algorithm development, and computational thinking
Data Science Foundation
Transform raw data into meaningful visualizations and insights. Skills: Data manipulation with Pandas, data visualization with Matplotlib and Seaborn, statistical analysis, data cleaning, and exploratory data analysis
Data Science Foundation
Transform raw data into meaningful visualizations and insights. Skills: Data manipulation with Pandas, data visualization with Matplotlib and Seaborn, statistical analysis, data cleaning, and exploratory data analysis
Intro To Machine Learning
Students will learn the core principles of how machines learn from data, implement their first predictive models, and understand proper evaluation metrics for model performance. Skills: Supervised learning fundamentals, linear and logistic regression implementation with scikit-learn, model evaluation techniques, and real-world application understanding.
Intro To Machine Learning
Students will learn the core principles of how machines learn from data, implement their first predictive models using scikit-learn, and understand proper evaluation metrics for model performance. Skills: Supervised learning fundamentals, linear and logistic regression implementation with scikit-learn, model evaluation techniques, and real-world application understanding.
Decision Trees & Ensemble Methods
Students will explore more advanced classification techniques, learning to build decision tree models, implement random forests, and understand when to use different algorithms. Skills: Decision tree implementation, random forest algorithms, K-nearest neighbors classification, model comparison, and feature importance analysis.
Decision Trees & Ensemble Methods
Students will explore more advanced classification techniques, learning to build decision tree models, implement random forests, and understand when to use different algorithms. Skills: Decision tree implementation, random forest algorithms, K-nearest neighbors classification, model comparison, and feature importance analysis.
Neural Networks!
Students will understand how neural networks mimic the human brain, implement a simple neural network, and train their first deep learning model. We'll do an industry deep dive examining how Tesla uses neural networks for self-driving technology. Skills: Neural network architecture, TensorFlow/Keras implementation, deep learning model training, optimization techniques, and model evaluation.
Neural Networks!
Students will understand how neural networks mimic the human brain, implement a simple neural network, and train their first deep learning model. We'll do an industry deep dive examining how Tesla uses neural networks for self-driving technology. Skills: Neural network architecture, TensorFlow/Keras implementation, deep learning model training, optimization techniques, and model evaluation.
Computer Vision
Students will learn to process and analyze images, build CNNs for image classification, and improve model accuracy through various techniques. Their project involves creating an image classifier that can recognize objects or categories. Capstone preparation begins with brainstorming project ideas. Skills: Image processing with OpenCV, convolutional neural networks (CNNs), data augmentation techniques, model accuracy improvement, and real-world image classification.
Computer Vision
Students will learn to process and analyze images, build CNNs for image classification, and improve model accuracy through various techniques. Their project involves creating an image classifier that can recognize objects or categories. Capstone preparation begins with brainstorming project ideas. Skills: Image processing with OpenCV, convolutional neural networks (CNNs), data augmentation techniques, model accuracy improvement, and real-world image classification.
Natural Language Processing
In this week, we build applications using large language models. We master prompt engineering techniques and create tools that leverage generative AI. Skills: Text processing techniques, using pre-trained language models, prompt engineering for LLMs, sentiment analysis, and text classification.
Natural Language Processing
In this week, we build applications using large language models. We master prompt engineering techniques and create tools that leverage generative AI. Skills: Text processing techniques, using pre-trained language models, prompt engineering for LLMs, sentiment analysis, and text classification.
Capstone Projects
In this week, we refine and extend your most promising project, prepare your presentation, and showcase your work to the Lucid Community! Skills: Project management, technical presentation, AI communication to non-technical audiences, portfolio development, and get insider career advice.
Capstone Projects
In this week, we refine and extend your most promising project, prepare your presentation, and showcase your work to the Lucid Community! Skills: Project management, technical presentation, AI communication to non-technical audiences, portfolio development, and get insider career advice.
Past AI Innovator Capstone Projects
By Rishika, Atticus, and Nidhi
Brain Tumor Segmentation With CNN's
The three of built a smart brain tumor detection process
By Aanya, Senorena, Samvarth
Pneumonia Detection Model
The three of built a smart Pneumonia detection model
By Rishika, Atticus, and Nidhi
Brain Tumor Segmentation With CNN's
The three of built a smart brain tumor detection process
By Aanya, Senorena, Samvarth
Pneumonia Detection Model
The three of built a smart Pneumonia detection model
By Rishika, Atticus, and Nidhi
Brain Tumor Segmentation With CNN's
The three of built a smart brain tumor detection process
By Aanya, Senorena, Samvarth
Pneumonia Detection Model
The three of built a smart Pneumonia detection model
By Rishika, Atticus, and Nidhi
Brain Tumor Segmentation With CNN's
The three of built a smart brain tumor detection process
By Aanya, Senorena, Samvarth
Pneumonia Detection Model
The three of built a smart Pneumonia detection model
Hear From AI Innovators Alumni
Show More
July 2024
Senorena & Her Dad
"This program covered more machine learning material than my Master's from Boston University!!" - Raja
July 2024
Ayaan & Ryan
"Before I didnt understand how machine learning actually works but now I could teach it to someone else"- Ayaan (AI Innovator's Summer Cohort 2025)tection
Past AI Innovator Capstone Projects
Pick an exciting topic
Explore a topic you all are interested in
Work in groups of 3-4
No need to struggle and work alone. Partner with like minded individuals!
Create your outcome
App? Research Paper? A startup? This is all for you to decide!
Get feedback
At the end, present your final project and get feedback from our team
What students have built...
By Rishika, Atticus, Nidhi
Brain Tumor Segmentation With CNN's
The three of built a smart brain tumor detection model
By Aanya, Senorena, Samvarth
Pneumonia Detection Model
The three of built a smart Pneumonia detection model
Hear From AI Innovators Alumni
Show More
July 2024
Senorena & Her Dad
"This program covered more machine learning material than my Master's from Boston University!!" - Raja
July 2024
Ayaan & Ryan
"Before I didnt understand how machine learning actually works but now I could teach it to someone else"- Ayaan (AI Innovator's Summer Cohort 2025)tection
July 2024
Ayaan & Ryan
"Before I didnt understand how machine learning actually works but now I could teach it to someone else"- Ayaan (AI Innovator's Summer Cohort 2025)tection
July 2024
Rishika
"I was able to build on my previous Python experience to now actually build solutions to real-world problems"
July 2024
Neo, Eva, Shaurya
"The most important skill I got was working with teammates to communicate and build a project together"- Neo (AI Innovator's Summer Cohort 2025)
July 2024
Senorena & Her Dad
"This program covered more machine learning material than my Master's from Boston University!!" - Raja
Who we are
Meet Your Mentors!
Meet Your Mentors!
We are a young team obsessed with using AI to solve real-world problems!
We are a young team obsessed with using AI to solve real-world problems!
Vaibhav Mishra
B.S in CS from Georgia Tech
Machine Learning Researcher at MIT and Stanford
First Author IEEE, AMIA, JACC
Founding AI Engineer at health tech startup
Parth Kocheta
CS Junior at UMD
Grand Prize at Massachusetts Science Fair
AI Research @ Carnegie Mellon AirLab
2x Machine Learning intern @ Sanofi
Rachel Wu
CS/AI @ MIT
Regeneron Science Talent Search Scholar 2024
Congressional App Challenge Winner
NYC Terra Science Fair Winner
Vaibhav Mishra
B.S in CS from Georgia Tech
Machine Learning Researcher at MIT and Stanford
First Author IEEE, AMIA, JACC
Founding AI Engineer at health tech startup
Parth Kocheta
CS Junior at UMD
Grand Prize at Massachusetts Science Fair
AI Research @ Carnegie Mellon AirLab
2x Machine Learning intern @ Sanofi
Rachel Wu
CS/AI @ MIT
Regeneron Science Talent Search Scholar 2024
Congressional App Challenge Winner
NYC Terra Science Fair Winner
Frequently Asked Questions
What if my child has never coded before?
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What if my child has never coded before?
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How big are classes?
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How big are classes?
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How can you cover so many topics in just 30 hours?
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How can you cover so many topics in just 30 hours?
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How's this different from other programming/AI classes?
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How's this different from other programming/AI classes?
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Who's teaching?
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Who's teaching?
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Why not just take a free online AI course?
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Why not just take a free online AI course?
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What happens after the program ends?
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What happens after the program ends?
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Will my child get enough support?
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Will my child get enough support?
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What computer & software do I need?
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What computer & software do I need?
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