Start with a shared foundation, then choose your path: AI Track or Robotics + AI Track
Designed for students in grades 6-12 and non-CS college students.
Register NowAll students start here. Build universal skills in Python, Data Science, and Mathematics for AI.
10 lessons
Master Python fundamentals: syntax, loops, conditionals, and problem-solving skills.
Hover for details
Perfect starting point for students new to programming. Covers variables, data types, functions, and basic programming concepts. This foundational course introduces students to Python syntax, control structures, loops, and problem-solving techniques essential for all future courses.
10 lessons
Apply Python to creative projects and build logic and confidence.
Hover for details
Hands-on projects that reinforce Python concepts. Build games, calculators, and interactive applications while developing problem-solving skills. Students will create multiple practical projects that demonstrate their understanding of Python programming fundamentals.
10 lessons
Learn data analysis using pandas, NumPy, and matplotlib.
Hover for details
Essential data science skills for AI. Learn to manipulate datasets, perform statistical analysis, and create visualizations using industry-standard libraries. This course covers pandas for data manipulation, NumPy for numerical computing, and matplotlib for data visualization.
10 lessons
Develop understanding of algebra, probability, and linear algebra for AI.
Hover for details
Build the mathematical foundation needed for AI and machine learning. Covers vectors, matrices, statistics, and probability theory essential for understanding ML algorithms. Students will learn the mathematical concepts that power modern AI systems.
10 lessons • Optional
Learn problem-solving strategies and algorithms for competitive programming challenges.
Hover for details
Optional course for students interested in coding competitions. Learn efficient algorithms, time complexity analysis, and problem-solving techniques used in contests like USACO and Codeforces. Develop skills to solve complex algorithmic problems under time constraints.
10 lessons • Optional
Master fundamental data structures and algorithms using Python.
Hover for details
Optional course covering essential computer science fundamentals. Learn arrays, linked lists, trees, graphs, sorting, and searching algorithms to write efficient code. This course provides the algorithmic thinking skills needed for advanced programming and software development.
Software-Only Track • Perfect for Online Learning
10 lessons
Learn machine learning with scikit-learn
Hover for details
Introduction to machine learning using scikit-learn. Learn supervised and unsupervised learning algorithms, model training, evaluation, and hyperparameter tuning. Build predictive models for classification and regression tasks.
10 lessons
Master CNNs and RNNs
Hover for details
Master neural networks, convolutional neural networks (CNNs) for image processing, and recurrent neural networks (RNNs) for sequence data. Build deep learning models using TensorFlow and Keras for real-world applications.
10 lessons
LLM and API integration
Hover for details
Learn to integrate large language models (LLMs) like ChatGPT into applications. Master API integration, prompt engineering, and building AI-powered applications that leverage the power of modern language models.
8 lessons
Gemini, Claude, Hugging Face
Hover for details
Explore cutting-edge AI tools including Google Gemini, Anthropic Claude, and Hugging Face models. Learn to automate tasks, build AI workflows, and leverage pre-trained models for various applications.
10 lessons • Optional
Deploy models using Streamlit, Flask, and cloud hosting
Hover for details
Learn to deploy machine learning models to production. Master Streamlit for quick prototypes, Flask for custom web applications, and cloud platforms like AWS, Google Cloud, or Azure for scalable deployments.
10 lessons
Apply AI to real datasets and scientific problems
Hover for details
Apply AI and machine learning techniques to real-world scientific and engineering datasets. Work on projects in fields like biology, chemistry, physics, and environmental science. Learn to analyze complex data and build models that solve real scientific problems.
8 lessons
Prepare for innovation competitions
Hover for details
Learn the fundamentals of innovation competitions. Develop skills in ideation, project planning, and presentation. Prepare for competitions like Congressional App Challenge, Samsung Solve for Tomorrow, and other innovation-focused contests.
12 lessons
ISEF / Congressional App Challenge preparation
Hover for details
Comprehensive preparation for prestigious science competitions like Regeneron ISEF and Congressional App Challenge. Learn research methodology, data analysis, scientific writing, and presentation skills. Build publishable AI research projects.
8 lessons
Responsible AI development
Hover for details
Explore the ethical implications of AI systems. Learn about bias, fairness, transparency, and explainability in machine learning. Understand how to build responsible AI systems that are fair, accountable, and beneficial to society.
8 lessons • Optional
Documentation, GitHub, and teamwork skills
Hover for details
Learn essential project management skills for AI development. Master version control with GitHub, technical documentation, code organization, and collaborative development practices. Essential for working on team projects and maintaining professional codebases.
Hardware + Software • Hands-On Learning
10 lessons
Hardware basics with Arduino
Hover for details
Learn to interface various sensors with Arduino microcontrollers. Work with ultrasonic sensors, infrared sensors, temperature sensors, and more. Build projects that sense and respond to the environment.
10 lessons
Autonomous control systems
Hover for details
Build and program an autonomous robotic car using Arduino. Learn motor control, sensor integration, and basic navigation algorithms. Create a robot that can navigate obstacles and follow paths.
10 lessons
Camera & data logging
Hover for details
Advance to Raspberry Pi for more sophisticated sensor integration. Work with cameras, IMU sensors, and advanced data logging. Learn to process sensor data using Python on Raspberry Pi.
10 lessons
Vision integration
Hover for details
Build an advanced robotic car with Raspberry Pi that integrates computer vision. Learn to process camera feeds, detect objects, and make navigation decisions based on visual input. Combine hardware and software for intelligent robotics.
10 lessons
OpenCV / ML object tracking
Hover for details
Integrate computer vision into robotics using OpenCV and machine learning. Learn image processing, object detection, tracking, and recognition. Build robots that can see and understand their environment.
10 lessons
Edge AI deployment
Hover for details
Deploy machine learning models directly on microcontrollers and edge devices. Learn TinyML techniques to run AI inference on resource-constrained hardware. Build intelligent robots that make decisions locally without cloud connectivity.
8 lessons
Prepare for innovation competitions
Hover for details
Learn the fundamentals of innovation competitions with a focus on robotics projects. Develop skills in ideation, prototyping, and presentation. Prepare for competitions like Samsung Solve for Tomorrow, Conrad Challenge, and other innovation-focused contests.
12 lessons
Robotics projects for ISEF
Hover for details
Comprehensive preparation for prestigious science competitions like Regeneron ISEF with robotics-focused projects. Learn research methodology, hardware documentation, scientific writing, and presentation skills. Build publishable AI-powered robotics research projects.
Start with Stage 1, then choose your specialization
Join hundreds of students mastering AI and Robotics. Start with Stage 1 today!
Register Now