What is AI Innovation?
AI Innovation is a project-based pathway where students learn AI by building, experimenting, and solving real-world problems. Rather than focusing only on theory, students create applications, explore ideas, and develop practical skills through hands-on work. This pathway is designed to help students start from action, build real capabilities, and gradually discover where they want to go next.
Two Levels of Growth
This pathway includes two stages — from broad exploration to deep innovation.
Track A: Panorama AI & Computing Camp
Wide Range Exploration and Technology Skills
Students explore two essential areas: Artificial Intelligence and Computing Systems. The curriculum uses Dr. Meng's "Frictionless Learning" approach to teach programming, algorithms, AI, web technology, and microprocessor control. Students build capstone projects and develop college-level knowledge. Grades 6-11, 2 semesters.
Track B: Elite AI & Computing Deep Dive Camp
Focused Specialization Supporting Breakthroughs
Students explore Advanced AI and Complex Computing Systems using professional tools (Python, Java, Linux, Raspberry Pi, AWS). Through coursework and capstone projects, they develop work at a college sophomore/junior engineering level, building strong credentials for competitive university applications. Open to qualified high school students over 2 semesters.
Track A ： Panorama AI & Computing Camp
Track A1：Artificial Intelligence （101+201）
Track A2：Computing Systems（203+204）
Best for: Students (G6-G10) who are new to Code，AI or want a broad project-based foundation.
101
Programming Fundamentals
201
Artificial Intelligence
203
Internet
Tech Bots
204
Raspberry PI
Hardware
The Breadth-First Camp embraces the design philosophy of "breadth as the priority axis," dedicated to fostering innovation. It enhances efficiency, helping students develop a broad technical in modern computer science, aligning with university majors. The camp covers key technologies:
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Programming and algorithms developed over the past 60 years,
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Internet technologies from the past 30 years,
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The evolution of artificial intelligence over the past 15 years,
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Technologies poised to drive transformation in the next 10 years: the Internet Things (IoT) , microprocessors, autonomous intelligent agents.
The camp is divided into two phases:
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[Track A1: ] (40 instructional hours, focusing on artificial intelligence)
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[Track A2: ] (40 instructional hours, focusing on computing systems)
Through high-volume knowledge coverage and multi-dimensional technology integration, it provides an immersive learning experience, enabling the construction of competition-ready modules and capstone projects.
Supplemented by the subsequent free [TCT Target Competition Training], it significantly enhances students' competitiveness in science and technology innovation competitions. Data shows that the award-winning rate can increase by more than 100 times. Many participants have achieved major awards in international competitions such as the MIT Global AI Hackathon, WAICY, AI YES and others within just one year.
Track A1: 广度营第1部分 – 人工智能的编程和模型
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开课季节：春、夏、秋
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上课安排：每周六，太平洋时间5:00–7:15pm
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课程结构：40小时教学(共18节课 × 每节2:15’小时)
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教辅时间：24 by 7 AI 教辅 + Appointments with TA
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招生对象：6 -11年级学生
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先修要求：无
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Course Season: Spring, Summer, Fall
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Class Schedule: Every Saturday, 5:00–7:15 PM Pacific Time
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Course Structure: 40 hours of instruction (18 sessions × 2 hours 15 minutes each)
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Teaching Support: 24/7 AI tutoring + scheduled appointments with TA
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Target Students: Grades 6–11
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Prerequisites: None
Track A2：广度营第2部分 – 支持人工智能的计算系统
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开课季节：春、夏、秋
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上课安排：每周五，太平洋时间5:00–7:15pm
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课程结构：40小时教学(共18节课 × 每节2:15’小时)
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教辅时间：24 by 7 AI 教辅 + Appointments with TA
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招生对象：7 -11年级学生
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先修要求：完成 Track A1: 广度优先营第1部分
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Course Season: Spring, Summer, Fall
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Class Schedule: Every Friday, 5:00–7:15 PM Pacific Time
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Course Structure: 40 hours of instruction (18 sessions × 2 hours 15 minutes each)
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Teaching Support: 24/7 AI tutoring + scheduled appointments with TA
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Target Students: Grades 7–11
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Prerequisites: Completion of Track A1: 101 Programming Fundamentals
Track B ：Elite AI & Computing Deep Dive Camp
Track B1—304
Advanced AI Models and Development
Track B1：304 Advanced AI Models and Development
Track B2：314 AI Systems Ecosystem Integration & Applied Development
Best for: Students (G9-G12) Students with prior coding/AI experience who are ready for deeper technical projects.
Track B2—314
AI Systems Ecosystem Integration & Applied Development
The Elite AI & Computing Deep Dive Camp adopts a “deep specialized research and development” curriculum model. It is designed to guide students in conducting technical exploration across several key areas of artificial intelligence and computer science on a professional-level platform. The expected project outcomes are intended to reach the technical level of second- or third-year students in top university engineering programs.
This program follows Dr. Meng’s original “Selective Professional Platform Curriculum”, consisting of Track B1 and Track B2. Unlike traditional general technical pathways, the program emphasizes in-depth exploration of selected specialized areas. It breaks down complex technologies into accessible and structured components, providing students with a clear development roadmap for technical innovation and breakthrough.
The program is aligned with top international competitions, including ISEF, STS, Davidson Fellowship, and the Cutler-Bell Awards, with the goal of helping students develop outstanding project outcomes that may have meaningful impact on their dream school applications.
Through a professional platform, students will conduct intensive exploration in artificial intelligence and intelligent systems, including two semester-long units:
Track B1: Advanced AI Models and Development
Track B2: AI Systems Ecosystem Integration & Applied Development
Track B1: 深度营第1部分 – AI高级模型和开发
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开课季节：春、夏 （秋季不开）
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上课安排：每周日，太平洋时间5:00–7:00pm
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课程结构：30小时教学(共15节课 × 每节2小时)
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教辅时间：24 by 7 AI 教辅 + Appointments with TA
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招生对象：9 - 12年级学生
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先修要求：完成广度营; 或具备扎实的Python技能, 熟悉主要AI概念和模型
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Offered: Summer and Fall (not offered in Spring)
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Schedule: Every Sunday, 5:00–7:00 PM Pacific Time
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Course Structure: 30 total instructional hours (15 sessions × 2 hours each)
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Academic Support: 24/7 AI-assisted support + scheduled appointments with TAs
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Target Students: Grades 9–12
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Prerequisites: Completion of the Breadth-First Program, or strong proficiency in Python with familiarity in major AI concepts and models
Track B2: 深度营第2部分 – 复杂AI计算系统
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开课季节：夏、秋 （春季不开）
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上课安排：每周日，太平洋时间5:00–7:00pm
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课程结构：30小时教学(共15节课 × 每节2小时)
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教辅时间：24 by 7 AI 教辅 + Appointments with TA
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招生对象：9 - 12年级学生
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先修要求：完成广度营; 或具备扎实的Python技能, 熟悉主要AI概念和模型
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Offered: Summer and Fall (not offered in Spring)
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Schedule: Every Sunday, 5:00–7:00 PM Pacific Time
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Course Structure: 30 total instructional hours (15 sessions × 2 hours each)
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Academic Support: 24/7 AI-assisted support + scheduled appointments with TAs
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Target Students: Grades 9–12
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Prerequisites: Completion of the Breadth-First Program, or strong proficiency in Python with familiarity in major AI concepts and models
Competition Guidance Program.
Exclusive Extension Program
This initiative provides complimentary professional parent-coach training and comprehensive strategic competition guidance, helping students unlock and maximize their competitive potential.
From top-level strategic design to execution, Dr. Meng collaborates closely with parent coaches to provide systematic, practice-oriented, end-to-end support. He offers precise evaluation and optimization guidance across key stages, including:
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Creative ideation and problem framing
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Team formation and role structuring
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Project planning and proposal writing
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Design refinement and technical architecture
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Implementation and system development
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Demo design and storytelling
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Video production and editing
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High-impact presentation and performance training
Offered: Spring and Fall
Featured Target Competitions Include:
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MIT RAISE Global AI Hackathon 全球AI黑客松
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MIT Appathon 应用挑战赛
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Congressional App Challenge 美国国会应用程序挑战赛
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National STEM Festival 联邦教育部理工节
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WAICY 世界青年人工智能大赛
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Presidential AI Challenge 总统AI挑战赛 *New!
Track C & D：Science Fair Competition Project Guidance Plan
Dr. Meng has launched an advanced innovation project mentoring program for high school students, aimed at helping them participate in, provincial, and even international science and engineering competitions (SEF), including ISEF and its affiliated events, fulfilling the of guiding students to the winner's podium.
孟博士向中学生推出的高级创新项目辅导计划，助力学生参与地区、省级、乃至国际级的科学与工程类竞赛（SEF），包括 ISEF 及其附属赛事，实现把学生带上领奖台的承诺。
Grades 9-11 Students
1. Track C1： 高中组SEF项目小组辅导（6–8人小组）
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开课季节：秋+初春每年一次
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适合年级：9–12年级
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时间安排：See Admission Officer for detail
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课程时间：August - February
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学费：See Admission Officer for detail
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要求：孟老师面试遴选
内容包括：
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项目构思与研究问题选题
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文献调研与资料梳理
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科研提案撰写与科学框架搭建
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实验设计与系统实现 （或需外部资源）
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数据采集、可视化与分析（或需外部资源）
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科研论文写作与展示文档制作
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项目展示与答辩模拟训练
课程采用标准SEF项目流程，提供系统教学、阶段性检查和成果展示指导。学生将获得往年获奖项目报告、PPT样例、展示视频等优质资料包。
2. Track C2: 高中组ISEF项目个人辅导（2–4人组）
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开课季节：春初夏每年一次
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适合年级：9–12年级
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时间安排：See Admission Officer for detail
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课程时间：2026年3月1日 – 5月15日
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学费：See Admission Officer for detail
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要求：孟老师面试遴选
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本计划为高目标学生量身定制，适合准备冲刺 ISEF、STS、Davidson Fellowship, AJAS, NJSHS 等国际顶尖科技赛事或申请高端科研夏校的学生。是每位学生从已有高水平项目（例如州级大赛获奖作品）中提炼精粹至全美和国际大赛奖项挑战者的专属辅导。
Grades 6-8 Students
3. Track D1：初中组SEF项目小组辅导（8–10人组）
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开课季节：秋初春每年一次
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适合年级：6–8年级
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时间安排：秋季。See Admission Officer for detail
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学费：See Admission Officer for detail
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要求：孟老师面试遴选
课程采用标准JIC项目流程，提供系统教学、阶段性检查和成果展示指导。学生将获得往年获奖项目报告、PPT样例、展示视频等优质资料包。
课程采用标准JIC项目流程，提供系统教学、阶段性检查和成果展示指导。学生将获得往年获奖项目报告、PPT样例、展示视频等优质资料包。
4. Track D2：初中组SEF项目个人辅导（2–4人组）
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开课季节：春初夏每年一次
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适合年级：6–8年级
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时间安排：春季。See Admission Officer for detail
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学费：See Admission Officer for detail
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要求：孟老师面试遴选
本计划为高目标学生量身定制，适合准备冲刺 顶尖科技赛事或申请高端科研夏校的学生。是学生将已有高水平项目（例如地区或州级大赛获奖作品）中提炼精粹至州级或全美大赛如Thermo Fisher JIC 的专属辅导。
Meet the founder & Instructor
Dr. Meng
Dr. Meng 是【孟博士科创竞赛特训营】的创始人和项目主任，知名AI科创教练 -拥有计算机科学博士和电子工程硕士学位。他是MIT应用发明家认证培训大师、IEEE高级会员、美国计算机教师学会（CSTA）会员，同时也是青年科学家与创新者协会（ASYI）创始人。
作为计算机技术教育者和科创竞赛教练，他指导的学生赢得众多美国和国际级奖项，创造了无数奇迹，帮助学生迈入世界顶尖名校！
🔹 荣誉与奖项
🏆 孟博士荣获【应用发明家基金会】的全球10大优秀教师奖（Teacher Excellence Award of App Inventor Foundation, 2022）。
🏆 2023年获得**“环球之星”杰出华人AI智能教育家奖**。
🏆 2024年获全美亚裔联盟“杰出亚裔人士奖”。
🏆 德州理查逊市市长 Paul Voelker 亲授其社区服务奖，表彰其在科技教育上的卓越贡献！
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