Research Ignited

High School
AI Scholars Program/Courses

The Research Ignited AI Scholars Program is a 10-week online course designed for high school students with no prior programming experience who want to explore the world of Artificial Intelligence (AI) and Machine Learning (ML).

This beginner-friendly program provides a hands-on introduction to AI concepts, coding fundamentals, and real-world applications, equipping students with valuable 21st-century skills.

Who Should Join?

What You Will Learn in Our AI Programs

Throughout this program, students will

Research Ignited AI Scholars Program

Meet Our AI Scholars Program Experts

Our instructors are passionate about AI and have extensive experience in the field. They’ve conducted cutting-edge research, developed innovative AI applications, and are excited to share their knowledge with aspiring high school students like you. Learn from the best and gain valuable insights into the exciting world of AI!

Joydeep Chatterjee

Data Strategist

BS - Cornell University, MEng - Stevens Institute of Technology

Reza M.

Professor

PhD Computer Science - Drexel
University

Apurva S.

Data Scientist (Amazon)

MS Information Science
University of
Washington

Rick Chakra

Founder & CEO (Armada IQ), Adjunct Professor - UNC Charlotte

PhD, Software and Information Systems
University of North Carolina

Why Choose This High School AI Program?

🌟 No prior coding experience needed

Beginner-friendly curriculum

🌟 Hands-on learning

Code AI models from scratch

🌟 Expert instructors

Learn from AI professionals

🌟 Industry insights

Guest lectures from AI experts

🌟 Portfolio building

Showcase AI projects on GitHub

🌟 Certificate of completion

Strengthen college applications

AI Scholars Program Structure

Duration

10 weeks (One 120-minute session per week) OR 2 weeks (One 120-minute session per day in summer)

Mode

Online (Live interactive sessions)

Format
Theory, coding walkthroughs, hands-on group activities, and project-based learning
Certification

Awarded upon successful completion

Program Fee

$1000

FAQ's on AI Programs For High School Students

Absolutely! This course is designed to provide foundational AI/ML skills for students from all backgrounds. While basic math and Python are covered, the goal is to demonstrate key concepts behind AI and machine learning in an accessible way. AI is transforming industries beyond STEM, including biology, politics, business, and more. You will have the opportunity to apply AI to projects in your area of interest, making the learning experience relevant and impactful for your future goals.

No! This program is designed for beginners with no prior programming experience. We will provide access to our online course before the first instructor-led session, which will cover the basics of Python and fundamental math concepts for AI/ML. This will help students grasp key concepts before the live sessions begin. Additionally, we will go over Python basics in the first session to ensure everyone is comfortable getting started.

You will need a computer with internet access. We will demonstrate and use Google Colab for all projects, allowing students to run code in the cloud without any installation. However, if you prefer to install Python locally, we will provide step-by-step instructions for setting up Python and required libraries like NumPy, Pandas, and TensorFlow on your computer.

All sessions are live, interactive, and conducted online via video conferencing tools. Students can ask questions, participate in discussions, and work on coding exercises in real-time. If you miss a session or need to review any concepts, recordings of the sessions will be available for you to catch up at your convenience.

Yes! Students who complete the program successfully will receive a certificate of completion, which can be added to college applications and resumes.
Recordings of all sessions will be available for students who miss a class. Additionally, instructors will be available for support.

The program costs $1000.

The program spans 10 weeks, with one 120-minute live online session per week. Alternatively, a 2-week summer intensive option is available, featuring daily 120-minute sessions. The curriculum includes theory, coding walkthroughs, hands-on group activities, and project-based learning.

This course will provide students with foundational-level skills in AI and ML. They will learn Python programming and key libraries (NumPy, Pandas, Matplotlib) and build simple machine learning models covering applications in computer vision and natural language processing (NLP). The program also addresses AI ethics, bias, and responsible AI development.

The program is taught by professors from renowned universities as well as real-world practitioners with industry experience. Additionally, guest lectures from AI experts provide valuable insights into real-world applications of AI and ML.

Students will engage in hands-on AI projects, including applications in computer vision and natural language processing (NLP). A final AI project allows students to showcase their learning and can be added to their portfolio.

Yes, instructors are available for support outside of scheduled sessions to assist with any questions or challenges students may encounter.

This program is designed for high schoolers from all backgrounds, not just STEM, as AI is disrupting all fields and careers. Completing the program will provide you with foundational AI/ML skills, a certificate of completion, and a portfolio of AI projects, which can strengthen your college applications and showcase your ability to work on cutting-edge technology.

You can apply for the program through the application link provided on the AI Scholars Program webpage.

Once students have completed the AI Scholars Program, a diverse range of advanced learning paths opens up to them:

  • Personalized AI Research Projects: Engage in a 1:1 mentorship experience by diving into an individual AI research project. This opportunity allows students to integrate AI with their personal interests and develop unique solutions.

  • In-Depth AI Courses: Discover several specialized courses designed to deepen your understanding and skills. These courses, referred to as Deep Dives, focus on enhancing your grasp of sophisticated AI programming and research, matching a graduate-level curriculum.

These offerings are structured to expand students’ AI capabilities, ensuring they remain at the cutting edge of technology.

In the latter part of the AI Scholars Program, students dive into hands-on applications of AI, leveraging the skills they’ve acquired to make meaningful contributions through an Project e.g. AI for Social Good Project. Guided by experienced mentors, participants collaborate in small virtual teams, tackling projects across various fields of interest. Their journey culminates in a presentation during a final showcase, where they display their innovative solutions to parents and instructors.

Exploring AI Careers and Ventures in the AI Scholars Program

The AI Scholars Program delves into a diverse array of careers and ventures within the field of artificial intelligence. Participants have the opportunity to explore various industries transformed by AI, such as healthcare, finance, and technology.

Exciting Career Paths:

  1. Data Science and Analysis
    Learn how AI shapes the role of data scientists who transform raw data into actionable insights that drive strategic decisions in companies like IBM and Microsoft.

  2. Machine Learning Engineering
    Discover the innovations machine learning engineers bring to the table, developing algorithms that power services in companies like Google and Amazon.

  3. AI Research
    Examine the work of AI researchers pushing the boundaries of technology, contributing to advancements in computer vision and natural language processing at institutions like MIT and Stanford.

Dynamic AI Ventures:

The program also highlights ventures that leverage AI to solve real-world problems:

  • Healthcare Innovations
    Investigate startups using AI for medical imaging and predictive analytics, improving patient outcomes and operational efficiency in hospitals.

  • Fintech Advancements
    Explore how financial technology companies are harnessing AI for fraud detection and personalized banking experiences.

  • Sustainability and AI
    Look into ventures utilizing AI to enhance renewable energy management and optimize smart city infrastructures.

Through instructor-led research spotlights, the AI Scholars Program provides an in-depth look at these careers and entrepreneurial pursuits, equipping participants with insights into how AI is reshaping our world.

Topics Covered in the First Half of the AI Scholars Program

The initial phase of the AI Scholars Program delves into three primary areas:

  1. Exploring Applications

    Each session kicks off by examining real-world applications of AI through thought-provoking questions: How do virtual assistants like Alexa function? In what ways can AI transform healthcare systems? How does AI contribute to environmental sustainability?

  2. Understanding Foundational Concepts

    Students gain a solid grasp of the conceptual frameworks behind key machine learning algorithms. This includes a look at both the intuition and mathematics of techniques like Neural Networks, Decision Trees, and Logistic Regression.

  3. Developing AI Programming Skills

    Practical skills are honed through coding assignments with Python. Projects like determining whether cells are cancerous or identifying sentiment in restaurant reviews provide hands-on experience in AI programming.

Throughout this journey, students engage in discussions, work on individual tasks, and collaborate by sharing their work with peers, creating a dynamic learning environment.

In the AI Scholars Program, personalized instruction is a cornerstone of the learning experience. Here’s how:

  • Small Group Sizes: With an impressive student-to-teacher ratio of just (5 to 10):1, each learner benefits from individual attention. This intimate setting ensures that every student’s needs are met, allowing for tailored guidance.

  • Interactive Discussions: Students engage in dynamic conversations about contemporary AI technologies. These sessions not only enhance understanding but also stimulate critical thinking and creativity.

  • Hands-On Learning: Through practical coding assignments, students apply concepts in real-time. This experiential approach solidifies comprehension and builds confidence.

  • Continuous Feedback: Utilizing live screen-sharing technology, instructors provide immediate feedback. This feature supports ongoing growth by addressing questions and refining skills as students progress.

By combining these elements, the AI Scholars Program fosters an immersive and customized educational journey.

In the AI Scholars Program, students work on hands-on AI projects in diverse domains, applying machine learning and deep learning techniques to real-world challenges. Some of the AI project tracks include:

  • AI in Art & Creativity – Explore how AI can generate digital art, music, and creative writing, or enhance artistic expression using neural networks like DALL·E and Stable Diffusion.
  • AI in Precision Medicine – Use AI models to analyze genetic data, predict diseases, and improve personalized treatment plans in healthcare.
  • AI for Educational Tools – Develop AI-driven tutoring systems, automated essay feedback tools, and personalized learning assistants.
  • AI in Astronomy – Utilize machine learning for space exploration, identifying exoplanets, or analyzing astronomical datasets.
  • AI in Autonomous Mobility – Build AI models for self-driving cars, drone navigation, and robotics-powered transportation systems.
  • AI in Sports Analytics – Apply AI to player performance analysis, injury prediction, and game strategy optimization.
  • AI for Healthcare – Work on projects related to medical imaging analysis, predictive diagnostics, and AI-driven health monitoring.
  • AI in Finance & Economics – Develop models for stock market prediction, fraud detection, and risk assessment in financial systems.
  • AI in Sustainability – Leverage AI for environmental monitoring, climate change prediction, and smart energy solutions.
  • AI in Arts and Music – Experiment with AI-generated compositions, music recommendation systems, and interactive AI-powered performances.
  • AI for Conversational Interfaces – Create intelligent chatbots, virtual assistants, and AI-powered customer support solutions.

These tracks provide students with practical AI experience while solving real-world problems, preparing them for future careers and college research opportunities.

Launch Your AI Journey Today !!