Yes, you can participate individually or in teams of up to 3 members. Each team must have a leader and choose a unique name for identification.

This Generative AI and Machine Learning competition is designed for high school students and advanced middle school students to showcase their skills in artificial intelligence and data science. Participants will tackle real-world problems using AI and ML techniques, competing for top rankings and cash prizes.

Participants will solve a series of AI and machine learning challenges. Solutions will be evaluated by a panel of data scientists and AI experts. The competition will include phases such as data analysis, model building, and presentation of results.

Participants can attend competition prep classes taught by expert instructors with degrees from CMU, GT, MIT, and Stanford. These instructors hold advanced degrees (Master’s or PhDs) and have over 10 years of experience in the data science and AI/ML fields.

Winners will be announced after the final judging phase. Results will be published on the competition website, and participants will also receive email notifications.

The competition is open to all current high school students and advanced middle schoolers. Participants can compete individually or form teams of up to 3 members, including a team leader.

You can register online via the provided registration link. Teams must provide a team name, and individuals can register under their own name.

Python is an essential prerequisite. We recommend taking the “AI - Generative AI”, which covers Recurrent Neural Networks (RNNs), Convolutional Neural Networks (CNNs), and Large Language Models (LLMs).

National awards will be presented to the top-performing participants: the top 5% will receive a Gold certificate and a $300 cash award for each individual or team, the top 10% will receive a Silver certificate and a $100 cash award, and the top 30% will receive a Bronze certificate and program credit of $50. Additionally, the top 50% will be honored with national recognition in AI/ML, and all other participants will receive a certificate of participation. We will also recognize the top three performers from each state, awarding cash prizes and celebrating their achievements alongside the national award recipients. To encourage diversity, special prizes will be awarded to recognize and support girls participating in the competition, celebrating their contributions to AI and machine learning.

Key dates, including registration and submission deadlines, are announced on the competition website. Registration deadlines for classes are posted in the programs section of our website. Be sure to check these dates regularly to stay on track.

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You can enroll in “Python for Machine Learning- Level II”, which is designed for students with some Python experience and basic statistics knowledge. The course covers building your first logistic regression model, which is essential for competition preparation. After completing Level 2, you can advance to “Machine Learning - Level III” to be fully prepared for next year’s competition, which is held during the summer.

Starting early in AI and machine learning provides significant advantages. It helps students build a strong foundation in math, coding, and data science—essential skills for the future. Early exposure fosters cross-disciplinary expertise and prepares students to tackle real-world challenges. Additionally, students gain a competitive edge, which can lead to research opportunities, leadership roles in the industry, or even starting their own AI/ML companies in industries like finance, healthcare, art, business, sports, entertainment, and more.

For beginners, we recommend “Python for Data Analysis - Level 1”. This class covers the basics of programming, data analysis, and an introduction to machine learning. There are no prerequisites, so you can start immediately.

If you are proficient in Python and data analysis, you can participate in the competition directly. Alternatively, you can take “Machine Learning - Level III”, which covers advanced algorithms like Neural Networks, RandomForest, and XGBoost.

For further inquiries, please contact us via email at contact@deepblueaiacademy.org, call 678-228 6792, or add our WeChat ID: DeepBlueAiUS. Our support team will be happy to assist you.

Our innovative approach to teaching AI and machine learning emphasizes solving real-world problems over syntax memorization. By introducing the "First Principle Thinking" methodology, we teach students to tackle challenges creatively and practically. We also encourage students to begin their AI journey as early as 8th or 9th grade.