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The Age of AI
Every Child Can Learn Python with Ease
Developed by an Expert Team
Guided by Think Tank Specialists
Scientific & Age-Appropriate Python Learning
Tailored to Children's Cognitive Levels
Hardware-Software Integration & Project-Based Teaching
Master AI at an Early Age
Cross-Disciplinary Knowledge & Skills
Broader Pathways for Future Growth
A Integrated with AIGC, Equipped in Advance
AI-Powered Learning Assistant
Express Lane to Innovation Competitions
Boost Personal Growth & Academic Profile
Python Learning—Now the Trend
In the era of AI, it is an essential language skill for the future.
The Must-Have Language for AI & Big Data Era
Highly popular, concise syntax, efficient development, strong portability, extensive libraries for data analysis and scientific computing, with promising career prospects.
A Real Code Language Perfect for Kids
Serves as the ideal bridge from block-based to professional coding; fast to pick up and easy to understand—children learn it effortlessly.
Solving Problems with Computational Thinking
Master algorithmic thinking and coding skills, apply computational thinking to solve problems, and learn data processing, analysis, and AI development.
Industry Recognition for Advancement
Many prestigious competitions have adopted Python as an official programming language, driving technological progress.
Developed by an Expert Team, Guided by Think Tank Specialists
Featuring professors, PhDs, and elites from top universities worldwide
Professor Erin Yao
Ph.D. in Education, University of Southern California 14 years of experience in education industry Former faculty member at Tongji University and Shanghai Normal University
Professor Guoqiang Li
Associate Professor/PhD Supervisor, School of Software Engineering, Shanghai Jiao Tong University Expert registered with MOST, MOE, and Shanghai Municipal Science and Technology Commission Senior Member of China Computer Federation Member of Artificial Intelligence Logic Committee, Chinese Association for Artificial Intelligence
Professor Tangwei Teng
Professor, School of Geographic Sciences, East China Normal University PhD Supervisor in Human Geography / Regional Economics Director, Institute of Land Development and Regional Economy Research Fellow, MOE Key Research Base - China Modern City Research Center
Professor Xianzhong Cao
Assistant Dean & Professor, Institute of Urban Development, East China Normal University Deputy Director, Shanghai Collaborative Innovation Center for Urban Development (University Think Tank) Researcher, MOE Key Research Base for Modern Urban Studies (Humanities and Social Sciences)
Professor Xiang Liu
Leader, China Technical Expert Group for Cloud Computing, WorldSkills Competition Shanghai Team Leader, China Graduate Smart City Technology and Creative Design Competition Board Member, National Research Society for Computer Education in Higher Education Research Focus: Intelligent Media Computing, Computer Vision & Artificial Life
Professor Zhaowei Hu
Gold-Level Mentor in STEM Education Ph.D. in Mechanical Design & Manufacturing MIT FabLab Certified Instructor Board Member, Shanghai Engineering Training Education Association Author of 7 SCI-indexed papers and holder of 2 national invention patents Asia-Pacific Nominee, Community Impact Award, Google Science Fair
David Sun
Interdisciplinary Master’s in Microelectromechanical Systems, University of Southampton, UK Expert in Guiding Grand Slam Wins in Science and Innovation Competitions Invited Judge of the National Youth Science and Technology Innovation Competition Over 360 Personalized Invention Projects Mentored Developed Courses Adopted by Top High Schools in Multiple Major Cities Guided Students to Win Awards Including: - Shing-Tung Yau High School Science Award, International Biology Prize (Yau Science Award) -International Youth Science and Technology Innovation Olympic Gold Medal -Chairman’s Award of the China Association for Science and Technology at the National Youth Science and Technology Innovation Competition
Danqi Guo
M.Ed., University of Pennsylvania Former Education Product Manager at Leading Internet Company Lead Developer of China’s First Self-Learning Curriculum for Primary Schools
Xiangwen Fu
B.Sc. in Biomedical Engineering & Instrument Science, Zhejiang University Visiting Professor, China Academy of Art (Public Arts) Satellite Signal Hardware Engineer, Shenzhen Aerospace Innovation Agency Hardware & Embedded Systems Lead, Tech Startup Designer of Interactive Public Art Installations Expertise: AI, Mechanical Systems
Xiao Zou
M.Eng. in Communication Engineering, Henan University Gold Medal Coach for Python Certification Competitions Lead Architect, Python Curriculum and Competition Systems Coached students to numerous competition victories Expertise: Python, C++
Python AI Course — Curriculum System
Title
Level Python 1 Fundamentals of Building and Programming
Ages 9-10
Course Topics Programming Language Conversion Syntax Introduction Syntax Fundamentals Data Structures Smart Hardware Basics
1-0 1-1 1-2 1-3 1-4
Periodic Targets Typing Boost Visual Conversion Pythonbr Basic I/O Variable Conditionals Loops Functions Coding Practice Arithmetic Ops Comparison Ops Logical Ops Coding Drills Data Structures for Loop Coding Drills Introduction to Hardware AI Sensors Practical Programming Labs
Result Output Python L1-L2，Scratch L4
AI Youth Championship，National Youth Labor Skills and Intelligent Design Competition，CodeQuest Global Challenge
Title
Level Python 2 Advanced Programming and AI Foundations
Ages 10-12
Course Topics Software Project Practice Introduction to AI and Machine Learning AI Software-Hardware Integration Project Practice Data Structures
2-1 2-2 2-3 2-4
Periodic Targets External Libraries Error Handling Algo Study Algo Implementation Pygame Module In-depth Functions Classes and Objects Monte Carlo Method AI Primer Data Basics ML Training Lab Applied AI Workshop Hydration Tracker Homework AI AI Pet Feeder Expression Alarm
Result Output Python L3-L4
Lanqiao Cup STEMA，Lanqiao Cup National Software and IT Talent Competition，WAICY National Youth AI Innovation Practice Activity
Title
Level Python 3 In-Depth AI and Project Practice
Ages 11-13
Course Topics AI Large Language Model AI Creative Applications AI Image Recognition AI Language Technologies
3-1 3-2 3-3 3-4
Periodic Targets Language Models Prompt Tips Web Frameworks Chatbots AI Portrait Generation AI Music Generation AI Video Generation CV Image Processing Image Classify YOLO Digital Audio Speech Recognition Speech Synthesis Noise Reduction
Result Output WAICY，National Youth Artificial Intelligence Innovation Practice Activities，Global AI4SD Agent Competition
Title
Level Python 4 Advanced AI and Interdisciplinary Expansion
Ages 12-14
Course Topics AI and Autonomous Driving AI and Writing AI and Science AI and Statistical Mathematics
4-1 4-2 4-3 4-4
Periodic Targets Sim Driving RL Algorithm Model Train AI + Writing Myths & Legends Write Autobiography Free Writing Bio Quest Physics Lab Social Study Inequality Eqs Square Plot Data Viz
Result Output CCF Autonomous Vehicle Competition，National Youth Science & Innovation Challenge，Artificial Intelligence Olympiad WAICY，National Youth Artificial Intelligence Innovation Practice Activities，Global AI4SD Agent Competition
Hardware-Software Integration and Project-Based Learning: Master AI Early
Unlike the majority of Python learning methods on the market that focus solely on software, We emphasize the integration of programming with real-world applications, enabling students to grasp knowledge and skills more effectively and profoundly.
Works Display
· IOT Smart Home
· Gesture Recognition Pixel Light
· Gesture Control Robot Arm
· Facial Expression Interaction Recognition Lamp
AI Hardware
A self-developed AI hardware kit, including StarCore boards, ultrasonic sensors, NFC-ICs, etc., empowers students to master AI technologies such as computer vision, natural language processing, and human-computer interaction for project development! This makes Python learning more fun and incredibly rewarding!
Self-developed
Exclusive customization
Safe and reliable
Seamless curriculum integration
Integrating hardware into programming learning enables:
Turning ideas into reality, fueling creativity and initiative
Applying skills to real-world scenarios, boosting interest in coding
Debugging with tangible feedback for visual code execution
Controlling hardware to achieve measurable results, building confidence
Hands-on problem-solving for deeper programming comprehension
Interdisciplinary knowledge integration, strengthening cognitive connections
Self-developed
Exclusive customization
Safe and reliable
Seamless curriculum integration
Integrating hardware into programming learning enables:
Turning ideas into reality, fueling creativity and initiative
Applying skills to real-world scenarios, boosting interest in coding
Debugging with tangible feedback for visual code execution
Controlling hardware to achieve measurable results, building confidence
Hands-on problem-solving for deeper programming comprehension
Interdisciplinary knowledge integration, strengthening cognitive connections
Self-developed
Exclusive customization
Safe and reliable
Seamless curriculum integration
Integrating hardware into programming learning enables:
Turning ideas into reality, fueling creativity and initiative
Applying skills to real-world scenarios, boosting interest in coding
Debugging with tangible feedback for visual code execution
Controlling hardware to achieve measurable results, building confidence
Hands-on problem-solving for deeper programming comprehension
Interdisciplinary knowledge integration, strengthening cognitive connections
Project-Based Learning Program
Problem Initiation
Driving Question Introduction
Skill Mastery
Project Application & Open-Ended Design
Peer Review & Iterative Refinement
▲Start learning with a problem that needs to be solved, known as the driving question.
▲Learning begins with an open-ended problem to solve, which we call the "Driving Question" in PBL methodology.
▲The learning technology provides scaffolding to help students enhance their capabilities through active participation in the process.
▲Students engage in collaborative projects and activities to solve problems and complete tasks together.
▲Students create viable problem-solving products – tangible outcomes of classroom learning designed for public sharing.
Interdisciplinary Skills, Diverse Futures
Integrate AIGC, Equip with AI Learning Assistant in Advance
The emergence of large language models will inevitably change our learning ecosystem. Our Python AI course will provide post-class robot Q&A to solve doubts, allowing children to be like tigers with wings, and equip with an AI assistant sooner.

Testing & Evaluation

Demo course assessment (evaluating interest and Python skills) Basic-level test evaluation

Achievement Evaluation

Phased Assessment & Report: Process-based evaluation of classroom performance Competition & Skill Achievement Evaluation: Includes software programming skill certification

Learning in Practice

Gamified Introduction: Learn Python fundamentals through gameplay Project-Based Teaching: Apply software-hardware integration with interactive projects to deliver knowledge and expand students' learning boundaries Inquiry-Based Learning: Discover and solve real-life problems

Practice & Reinforcement

After-class Exercises: Python practice platform to solidify syntax knowledge Project Notes: Review key processes in project development
Innovation Competition Fast Track - Accelerating Growth and Academic Excellence
Python AI learners unlock multi-disciplinary career paths in programming, STEM innovation, and artificial intelligence, with access to premium competitions and certifications to future-proof their success!
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