广度优先营：构建创新技术全景图

• 开课季节：春、夏、秋
• 上课安排：每周六，太平洋时间5:00–7:15pm
• 课程结构：40小时教学(共18节课 × 每节2:15’小时)  
• 教辅时间：24 by 7 AI 教辅 + Appointments with TA  
• 招生对象：6 -11年级学生 
• 先修要求：无 

• Course Season: Spring, Summer, Fall
• Class Schedule: Every Saturday, 5:00–7:15 PM Pacific Time
• Course Structure: 40 hours of instruction (18 sessions × 2 hours 15 minutes each)
• Teaching Support: 24/7 AI tutoring + scheduled appointments with TA
• Target Students: Grades 6–11
• Prerequisites: None

课程MAI-101 编程技巧： 零基础起步的加厚编程课程，融合生成式AI技术与算法训练，从ChatGPT与DALL·E实战到USACO/AIO竞赛题，全面掌握编程核心能力与前端开发技能。从第一节课起，学生将在实验与项目中深度融合使用 ChatGPT 和 DALL·E，掌握生成式 AI 技术在现代编程中的应用。零基础低开高走，课程内容包括变量与作用域、数据类型、条件语句、循环结构、基本数据结构（如列表与字典）以及函数的使用与设计。课程实验部分进一步拓展至前端开发技能，涵盖 UI/UX 组件的使用、事件驱动编程、回调函数等技术，同时引导学生掌握调试技巧、命名规范、程序模块化以及高效算法的基本思维方法。所有作业均经过精心设计，部分题目源自 AIO（澳大利亚信息学奥林匹克）和 USACO（美国计算机奥林匹克）试题，学生可考对应的AP CSP。

Course: MAI-101 Programming Skills

MAI-101 Programming Skills: A Thickened Programming Course for Absolute Beginners. This course integrates generative AI technologies and algorithmic training, seamlessly combining hands-on practice with ChatGPT and DALL·E to build core programming abilities and front-end development skills. From the very first lesson, students will deeply incorporate ChatGPT and DALL·E into experiments and projects, mastering the application of generative AI in modern programming.

Designed for zero-to-hero progression, the curriculum covers foundational concepts such as variables and scope, data types, conditionals, loops, basic data structures (e.g., lists and dictionaries), and function design and usage. The lab component extends to front-end development skills, including UI/UX components, event-driven programming, callback functions, and more. Students will also develop essential techniques like debugging, naming conventions, modular programming, and basic algorithmic thinking.

All assignments are carefully curated, with select problems drawn from AIO (Australian Informatics Olympiad) and USACO (USA Computing Olympiad) contests. Upon completion, students are well-prepared to take the AP Computer Science Principles (AP CSP) exam.

课程MAI-201 人工智能:  介绍深度学习（Deep Learning）的核心概念与主流模型，内容涵盖多层前馈神经网络、深度梯度反向传播算法、卷积神经网络（CNN）、递归神经网络（RNN）、长短期记忆网络（LSTM）、强化学习（Reinforcement Learning）等基础模型，绍生成模型（Generative Models）、多模态AI系统。实验环节结合 MIT App Inventor、Google Teachable Machine 和AWS Deep Racer的全部项目资源。ArcGen Academy 是目前已知唯一能够系统性完成上述教学内容的青少年培训机构。该课程浓缩了过去15年来AI技术发展的概要。毕业生在 2024年第一届MIT Global AI Hackathon 中夺得全球总冠军等所有美国获得的青少年奖项，并斩获 2025WAICY 等国际赛事金牌，大数据表明提高获奖率超过100倍。

Course: MAI-201 Artificial Intelligence

MAI-201 Artificial Intelligence: Core Concepts and Mainstream Models in Deep Learning. This course introduces the foundational concepts of deep learning and major models, covering multilayer feedforward neural networks, deep backpropagation algorithms, Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN), Long Short-Term Memory (LSTM) networks, Reinforcement Learning, generative models, and multimodal AI systems.

The curriculum condenses the key developments in AI technology over the past 15 years into a structured, accessible format for young learners. Hands-on labs fully leverage project resources from MIT App Inventor, Google Teachable Machine, and AWS DeepRacer, enabling students to build, train, and deploy real AI models through practical experimentation.

ArcGen Academy is currently the only known youth training institution that systematically delivers this comprehensive scope of content. Graduates have achieved outstanding results, including winning the global championship and all U.S. youth awards in the inaugural MIT Global AI Hackathon 2024 (Youth Team Winner: SignLingo project, among others), as well as securing gold medals in WAICY 2025 and other international competitions. Data shows that participation dramatically increases award-winning rates—by more than 100 times in key events.

• Capstone 顶点项目: 每个课程中，通过完整的开发流程，帮助学生将技术转化为集成项目，给家长和同学演示，铺垫高水平科技赛事. In every course (MAI-101, MAI-201, and future levels), students complete a structured capstone project that serves as the culminating experience. The capstone follows a complete, professional-grade development workflow, guiding students from idea conception → requirements gathering → design → implementation → testing & debugging → documentation → final presentation & demonstration.

• 完成理论学习和30个编程项目。Deep mastery of modern programming + AI through theory + 30 projects + innovative capstone
• 完成可落地的创新项目（可提交竞赛或拓展研究）Ready-to-submit competition-grade work
• 免费获得孟老师亲授的“目标竞赛特训”（TCT）Exclusive free training with a top instructor for future contests
• 优秀学生获得申请TA资格 Pathway to become a TA and build leadership credentials

• 开课季节：春、夏、秋
• 上课安排：每周五，太平洋时间5:00–7:15pm
• 课程结构：40小时教学(共18节课 × 每节2:15’小时)  
• 教辅时间：24 by 7 AI 教辅 + Appointments with TA  
• 招生对象：7 -11年级学生 
• 先修要求：完成 Track A1: 广度优先营第1部分  

• Course Season: Spring, Summer, Fall
• Class Schedule: Every Friday, 5:00–7:15 PM Pacific Time
• Course Structure: 40 hours of instruction (18 sessions × 2 hours 15 minutes each)
• Teaching Support: 24/7 AI tutoring + scheduled appointments with TA
• Target Students: Grades 7–11
• Prerequisites: Completion of Track A1: Breadth-First Camp Part 1

课程MAI-203 互联网的科技插件：20学时。课程内容覆盖多项尖端互联网技术，包括多媒体集成、传感器应用、云数据库管理、数据可视化、JSON格式处理、Web API调用、GPS定位系统、交互式地图、自动导航，以及集成AI工具如ChatGPT与DALL·E，帮助学生开发功能复杂的创新应用程序。该课程浓缩了过去30年来互联网技术发展的精华，致力于为学生在各类国际科技创新竞赛中取得优异成绩打下坚实基础。自开设以来，203课程的学生在MIT Appathon等赛事中屡创佳绩，2021年至2025年间囊括了全球超过85%的青少年组全球冠军席位，展现了持续卓越的竞争力和技术领导力。 

Course: MAI-203 Internet Techbots

20 instructional hours. This course covers a range of advanced internet technologies, including multimedia integration, sensor applications, cloud database management, data visualization, JSON format processing, Web API calls, GPS positioning systems, interactive maps, automatic navigation, and the integration of AI tools such as ChatGPT and DALL·E. These skills enable students to develop highly functional, innovative applications with complex features.

The curriculum distills the essence of more than 30 years of internet technology development into a focused, high-impact program. It is specifically designed to build a strong foundation for students to achieve outstanding results in various international science, technology, and innovation competitions. Since its launch, students from MAI-203 have consistently excelled in events such as the MIT App Inventor competitions (including MIT Appathon and related global challenges). From 2021 to 2025, ArcGen Academy participants in this course captured more than 85% of the global youth division championship titles worldwide in these major events, demonstrating sustained excellence, exceptional competitiveness, and leadership in youth technology innovation.

课程MAI-204 物联网微处理器：20学时。系统讲解 Raspberry Pi 设置、远程访问与 Linux 命令操作，结合电子学基础与物联网架构，掌握 GPIO 控制与 Python 编程。学生将使用 MIT App Inventor 构建无线控制面板与仪表板，通过蓝牙、WiFi 和 Node-Red 等协议控制 LED、读取传感器数据、控制电机，并实现密码保护等功能。课程还将简要引入 AI 模块、GPS 定位、多点导航与语音提示技术，并扩展至温湿度传感器、光敏电阻、超声波模块等实用元件的接入与应用，拓展学生的系统开发能力。学生斩获 2023WAICY金牌，2024年美国教育部国家理工节冠军等多个奖项。

This course provides a systematic introduction to Raspberry Pi setup, remote access, and Linux command-line operations. Combined with foundational electronics and IoT architecture principles, students gain mastery of GPIO control and Python programming for hardware-software integration.

Students build wireless control panels and interactive dashboards using MIT App Inventor, enabling remote device management via Bluetooth, WiFi, and Node-RED. Key hands-on projects include:

• Controlling LEDs
• Reading data from various sensors
• Driving motors
• Implementing password-protected access and security features

The course also briefly introduces AI module integration, GPS positioning, multi-point navigation, and voice prompt technologies. Students further expand their skills by connecting and applying practical components such as temperature/humidity sensors, photoresistors (light-dependent resistors), ultrasonic modules, and more—building end-to-end IoT systems with real-world functionality.

This focused curriculum equips students with the ability to develop complete, interconnected IoT applications, blending embedded programming, networking protocols, sensor interfacing, mobile/web control, and emerging AI enhancements. 

Capstone 顶点项目: 项目聚焦互联网科技和嵌入式系统的边缘计算，将所学技术转化为可落地的创新智能系统项目，现场向家长和同学展示成果，直通高水平科技赛事。 In every course (MAI-201, MAI-204), students complete a structured capstone project that serves as the culminating experience. The capstone follows a complete, professional-grade development workflow, guiding students from idea conception → requirements gathering → design → implementation → testing & debugging → documentation → final presentation & demonstration.  

• 完成理论学习和30个编程项目。Deep mastery of modern programming + AI through theory + 30 projects + innovative capstone
• 完成可落地的创新项目（可提交竞赛或拓展研究）competition-grade project 
• 免费获得孟老师亲授的“目标竞赛特训”（TCT）| Exclusive free training with a top instructor for future contests
• 优秀学生获得申请TA资格 | Pathway to become a TA and build leadership credentials
• 获得孟博士推荐信 | Obtaining a Recommendation Letter from Dr. Meng