Meet your Summer 2025 Instructor
Jason Jabbour
Harvard University
Computer Science
Jason is a PhD student in Computer Science at Harvard University and an NSF Graduate Research Fellow. His research focuses on the intersection of machine learning, systems, and robotics—specifically, on making generative AI in robotics both efficient and safe. He has collaborated with leading research labs in both industry and academia, and has been mentoring students in AI and computer science for over six years. Learn more here!
Jason is a PhD student in Computer Science at Harvard University and an NSF Graduate Research Fellow. His research focuses on the intersection of machine learning, systems, and robotics—specifically, on making generative AI in robotics both efficient and safe.
He has collaborated with leading research labs in both industry and academia, and has been mentoring students in AI and computer science for over six years. Learn more here!
Our instructors are from:
1/ WHY AI?
Why Learn AI as a High School Student?
Artificial Intelligence is at the Heart of it All
Whether it's the Tesla you see driving autonomously on the highway, Apple's Face ID unlocking your iPhone, or chatting with OpenAI's ChatGPT, artificial intelligence is at the heart of it all. AI is transforming every industry—from healthcare and finance to entertainment and beyond.
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Gain a Competitive Edge
Companies and universities are seeking young innovators who not only know how to use these cutting-edge AI tools but also understand how to build them from scratch. By learning AI early, you'll gain a competitive edge with access to groundbreaking research opportunities, enhanced college prospects, and coveted internships that set you up for a future of success.
But, don't just take it from us!
Mark Cuban recently said "If I was 16 [...], starting today, I would spend every waking minute learning about AI."
2/ WHY KANDELLO?
Why Choose Our Bootcamp?
We are leading the AI academy world, but we don’t forget where we’ve come from: Human touch and endless patience.
From Basic Principles to Advanced Topics
We begin with the basics of machine learning—covering core concepts like simple regression—to help you build a solid foundation. As you progress, you'll dive into advanced topics such as neural networks, GANs, and transformers, preparing you to work with the models driving today’s top tech companies.
Real Projects Bringing Concepts to Life
We believe that the best learning happens when you apply your knowledge. That's why our curriculum centers on exciting real-world applications—whether it's detecting tumors in medical images, generating music, or predicting market trends. Each project provides practical, hands-on experience that you can share with the world.
Learn from Harvard Mentors
Our mentors are not only passionate about teaching but also experts in AI. You'll receive personalized, live guidance and interact directly with a Harvard PhD student, ensuring you have the support you need to master new concepts and continuously grow your skills.
What You’ll Learn and Build Over 8 Weeks
Train a virtual racecar to navigate around a track.
Autonomous Driving
Learn how AI can identify tumors in brain MRI scans.
Cancer Detection
Satellite Image Generation
See how AI can compress and generate satellite images.
Explore how AI can forecast stock prices.
Stock Market Prediction
Discover how AI can create fresh, original music tracks.
Music Generation
3/ What You'll Achieve
What You’ll Learn and Build Over 8 Weeks
3/ What You'll Achieve
01
Week 1: Introduction to Machine Learning
Discover the fundamentals of machine learning and learn how computers can learn from data. You'll start by exploring linear regression to understand how to model relationships between variables, forming the building block for future topics.
02
Week 2:
Neural Networks Part 1
Begin your deep dive into neural networks by learning the basics of neurons, activation functions, and network architecture. You'll build and train a simple network model, setting the stage for more sophisticated techniques down the line.
03
Week 3:
Neural Networks Part 2
Expand your knowledge by exploring how neural networks optimize learning through gradient descent and backpropagation. This week, you'll refine your models and gain practical insights into tuning parameters to reduce prediction errors.
04
Week 4:
Medical Image Cancer Detection using CNNs
Explore how Convolutional Neural Networks (CNNs) learn spatial features in images—using convolutional filters to capture key patterns—to process MRI scans for tumor detection. You’ll learn how these networks analyze localized image regions to accurately identify and outline abnormalities.
05
Week 5: Autoencoders for Space Satellite Image Compression
Explore autoencoders—networks that compress and reconstruct images using compact representations. Learn how these models generate images from noise and apply these techniques specifically to compress satellite imagery while preserving crucial details.
06
Week 6:
GANs for Music Generation
Step into the creative realm of Generative Adversarial Networks (GANs) and see how adversarial training can turn raw data into original musical compositions. You’ll learn how these models generate new sounds by pitting a generator against a discriminator, a process that highlights the versatility of generative AI across different modalities.
07
Week 7:
Transformers for Stock Market Prediction
Uncover the power of transformer models in analyzing sequential data to forecast trends. By predicting stock prices, you’ll experience how advanced techniques borrowed from natural language processing can be adapted for financial analytics.
08
Week 8:
Autonomous Driving with Reinforcement Learning
Experience the power of reinforcement learning by training a virtual car to navigate a race track. Through trial-and-error learning, you’ll discover how algorithms make real-time decisions, mirroring the challenges of autonomous driving.
3/ Ready to KICKSTART your AI Career?
Course Syllabus
Kickstart your career in AI in 8 Live Sessions
04/ How our program works
HOW IT WORKS
APPLICATION
DEADLINE
Saturday,
May 23rd
LIVE SESSIONS
1-Hour Weekly interactive classes via Zoom
PROJECT LABS
1-Hour Weekly hands-on exercises with real-world datasets.
ADMISSIONS PROCESS
Students must apply before being admitted into the summer bootcamp
NEXT COURSE DATE
Our next bootcamp will begin Saturday June 14th through Saturday August 2nd
Start Your AI Journey with Us!
Jumpstart Your Career With AI Today