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AI Advanced STEM Camp - Sharpen Depth G9-G12

📣 AI Advanced STEM Camp - Sharpen Depth (Grades 9–12)

 

🎯 This advanced bootcamp is designed for Grades 9–12 students with a strong AI foundation in both software and hardware—future innovators who aspire to excel in science and engineering.
Participants should already:

  • Be proficient in Python

  • Understand fundamentals of computer systems

  • Have prior experience in coding and technical problem-solving

 

This is for students aiming to win high-level science and engineering competitions and gain a competitive edge in college admissions.

 

Exclusive Teaching Method
🚀 Led by Dr. Meng, the camp uses a proven, high-efficiency instructional approach designed to:

  • Rapidly boost innovation and problem-solving skills

  • Prepare students for high-impact research competitions

  • Equip students with a transformative edge for top university applications

  • Lay a strong foundation for long-term STEM success

 

📌 Exclusive Competitions Training Aligned with This Camp
🏆 MIT Appathon (MIT App Development Marathon)
🏆 World AI Competition for Youth (hosted by Carnegie Mellon University)
🏆 Congressional App Challenge (U.S. Congress)

 

📌  Target Competitions Include:
🏆 International Science and Engineering Fair (ISEF, AJAS, NJSHS, etc.)
🏆 Regeneron Science Talent Search (STS)
🏆 World AI Competition for Youth (WAICY, hosted by CMU)
🏆 Congressional App Challenge
🏆 ACM Cutler-Bell Prize (Association for Computing Machinery)
🏆 Davidson Fellowship

 

📘 Course Tracks
The AI Advanced Innovation Bootcamp includes two signature tracks developed by Dr. Meng:

  • [Depth Camp I:  Advanced AI Model Camp]

  • [Depth Camp II: Smart IoT AI-Agent Camp]

These courses combine frontier technologies and platforms, preparing students for success in elite-level innovation and research competitions.

 

📘 Camp Detail

  • 📌Depth Camp I:  Advanced AI Model Camp (304+Proj)

    For Grades 9–12 Students|Completed [Breadth Camp 1] or Have Python/Java and Basic AI Model Knowledge|Advanced Competition-Oriented

    This course guides students through real-world projects into advanced AI model domains such as computer vision, natural language processing, reinforcement learning, and multimodal systems. It helps students build AI project outcomes with both research depth and real-world application, laying a solid foundation for future science competitions, academic publications, and college applications!

    🎯 Essential Python & Data Processing
    From variables, functions, and control structures to Pandas/Numpy/Tensor operations, students will quickly gain the coding and data preprocessing skills required for AI development.

    🎯 Core Neural Network Architectures (ANN / CNN / RNN / LSTM)
    Master the three major deep learning models used for structured data processing, image recognition, and sequence modeling. Through hands-on case studies, students will understand the principles, pros and cons, and use cases of each model.

    🎯 Computer Vision & Natural Language Processing (NLP)
    Train AI to “understand images” and “read language” through applications such as image classification, object detection, text generation, and sentiment analysis—building dual capabilities in language and vision.

    🎯 Transformer Architectures & Generative AI (BERT / GPT)
    Gain a deep understanding of cutting-edge Transformer models, mastering BERT for comprehension and GPT for generation. Students will build ChatGPT-style text Q&A and language generation projects.

    🎯 Multimodal Learning + RAG (Retrieval-Augmented Generation)
    Practice cross-modal data fusion techniques, training AI to handle image, text, and audio inputs. Incorporate RAG mechanisms to enhance both the accuracy and expressiveness of AI systems.

    🎯 Reinforcement Learning & Autonomous System Development
    Simulate agents learning and optimizing decisions in environments. Build AI systems with trial-and-error feedback mechanisms, and understand their real-world applications in robotics, gaming, and autonomous driving.

    🎯 Capstone Project (Parent Showcase, Competition Submission, Research Development)

     

    🏅 Course Outcomes:
    Complete a launch-ready innovation project
    Become eligible to apply for TA positions
    Receive summer program invitations and college recommendation letters from Dr. Meng

    Free access to Dr. Meng’s exclusive Targeted Competition Training (TCT), including:

    • MIT RAISE Global AI Hackathon
    • MIT Appathon
    • WAICY – World AI Competition for Youth
    • Congressional App Challenge

     

    ⏱️ Course Hours:
    30 hours of instruction (15 classes × 2 hours) + 30 hours of guided project support

     

    📍 Course Format:
    Live Zoom classes (with recordings) + 24/7 Discord student group

     

    📍 Course Schedule:
    Sep 14 – Dec 21

    Every Sunday

    8-10PM ET

    7-9PM CT

    5-7PM PT

     

  • 📌 Depth Camp II: Smart IoT AI-Agent Camp (314)

    For Grades 9–12 Students|Completed [Breadth Camp II] or Have Background in Programming, AI Application Development, Microprocessors, or Robotics|Advanced Competition-Oriented

     

    This course introduces the architecture and development of modern intelligent agent systems. Through project-based learning, students will gain integrated technical skills across Python programming, deep learning models, microcontroller control, and cloud service collaboration. Students will design and build a fully functional RCV intelligent system capable of remote control, natural language processing, and visual recognition—strengthening their practical abilities in AI + IoT system integration and development.

    🎯 Microprocessor Platforms & Edge AI Deployment
    Using Raspberry Pi / Jetson Nano, students will learn Linux command-line operations, GPIO interfacing, device control, and Python automation to deploy edge computing-based control systems.

    🎯 Smart Robotics & IoT Device Integration
    Students will build controllable robots or smart devices featuring voice control, visual recognition, and remote feedback to demonstrate intelligent decision-making and real-world AI engineering implementation.

    🎯 Cloud Services & Intelligent Control System Integration
    Using Web APIs, JSON data exchange, cloud databases, and server-side interfaces, students will enable real-time collaboration between AI systems and cloud services, integrating AI features like GPT and image recognition.

    🎯 Mobile Visualization Control + Multi-Device IoT Integration + Cross-Platform Sync
    With MIT App Inventor, students will create wireless mobile control interfaces and develop control panels to achieve two-way communication with hardware. They will complete smart multi-device integration using Bluetooth/WiFi/Node-RED protocols.

    🎯 Capstone Project – Build an AI 2.0 Multi-Component Coordination System
    The final project will include a demo video, codebase, and technical documentation. Project themes include intelligent assistants, environmental response systems, health monitoring systems, and more.

     

    🏅 Course Outcomes:
    Complete a launch-ready innovation project (suitable for competitions or further research)
    Become eligible to apply for TA positions
    Receive Dr. Meng’s summer program invitations and college recommendation letter

    Free access to Dr. Meng’s exclusive Targeted Competition Training (TCT), including:

    • MIT RAISE Global AI Hackathon
    • MIT Appathon
    • WAICY – World AI Competition for Youth
    • Congressional App Challenge

     

    ⏱️ Course Hours:
    30 hours of instruction (15 classes × 2 hours) + 30 hours of guided project support

     

    📍 Course Format:
    Live Zoom classes (with recordings) + 24/7 Discord student group

    📍 Course Schedule:
    Spring, 2026

     

  • 📌 Dr. Meng

    Dr. Meng is the Founder and Program Director of the Meng AI Innovation & Competition Bootcamp. He holds a Ph.D. in Computer Science and a Master’s degree in Electrical Engineering. He is a Certified MIT Master Trainer in App Inventor, a Senior Member of IEEE, a member of the Computer Science Teachers Association (CSTA), and the founder of the Association of Student Young Innovators (ASYI).

    As an educator and innovation competition coach, Dr. Meng has guided students to win numerous prestigious national and international awards—empowering them to enter some of the world’s top universities.

     

    🔹 Honors & Awards

    🏆 Teacher Excellence Award – App Inventor Foundation Global Top 10 Educator (2022)
    🏆 Global Chinese AI Education Leader Award – "Global Star" Awards (2023)
    🏆 Outstanding Asian American Award – National Asian American Alliance (2024)
    🏆 Community Service Award – Presented by Mayor Paul Voelker of Richardson, TX, for his outstanding contributions to tech education

     

    ✨ Whether in tech innovation competitions, top college admissions, or AI education, Dr. Meng is committed to helping students achieve their dreams in science and technology!

     

    “The world is vast, and so are our opportunities. We strive to support more students in entering and excelling in competitions—as a path toward excellence. Along the way, we also count on the close support and encouragement of parents. Let’s believe: there’s no need for stress or burnout—for your child, the sky is the limit.
    Dr. Meng

     

    “Words cannot express how deeply grateful we are. Your dedication to learning itself has quietly inspired our child. Your insight into both technology and education has helped our child strive toward their goals. As parents, our job is simply to provide the strongest support possible.”
    A student’s parent

$1,695.00 Regular Price
$1,525.00Sale Price
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