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
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
·Gesture Control Robot Arm
·Facial Expression Interaction Recognition Lamp
·IOT Smart Home
·Gesture Recognition Pixel Light
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
▲Students create viable problem-solving products – tangible outcomes of
classroom learning designed for public sharing.
▲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.
▲Students engage in collaborative projects and activities to solve problems
and complete tasks together.
▲The learning technology provides scaffolding to help students enhance their
capabilities through active participation in the process.
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 performanceCompetition & Skill Achievement Evaluation: Includes software programming skill certification
Learning in Practice
Gamified Introduction: Learn Python fundamentals through gameplayProject-Based Teaching: Apply software-hardware integration with interactive projects to deliver knowledge and expand students' learning boundariesInquiry-Based Learning: Discover and solve real-life problems
Practice & Reinforcement
After-class Exercises: Python practice platform to solidify syntax knowledgeProject Notes: Review key processes in project development
Innovation Competition Fast Track - Accelerating
Growth and Academic Excellence
(Subheading) 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!