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return model.adapt(user)
_
Featured Courses
Explore our highly-rated classes and AI-guided paths.
Lighthouse for Hong Kong: Book 8
ENG401B-LH-HKLighthouse for Hong Kong: Book 8
A comprehensive primary English e-textbook designed for Hong Kong students, focusing on thematic vocabulary, grammar structures (such as 'have to', 'used to', and 'should'), various text types (brochures, journals, encyclopedias), and reading comprehension through local and global contexts.
Calculus: Early Transcendentals (7th Edition)
MATH006Calculus: Early Transcendentals (7th Edition)
A comprehensive textbook covering the fundamentals and advanced topics of calculus, including functions, limits, derivatives, integrals, differential equations, and vector calculus, with an emphasis on conceptual understanding through the 'Rule of Four'.
My Little AI Agent
AI000My Little AI Agent
Designed for preschool learners, this course transforms complex computer science concepts—such as Agents, evolutionary learning, prompting, and even negative entropy—into concrete, playful, and age-appropriate experiences. Across five lessons, children build foundational AI literacy: understanding what AI is and how it helps people, learning to give clear instructions (prompting), exploring specialized AI "helpers" (agents) and teamwork, discovering how AI learns from data and mistakes, and finally engaging in a guided human–AI co-creation project that promotes creativity, responsibility, and technology-for-good values.
《金剛經》注解
PHIL001《金剛經》注解
本書為清代孚佑帝君對《金剛般若波羅蜜經》所作的詳細注解。全書將經文分為三十二分，每分包含經文原文、精要注解（註）以及深入淺出的義理講說（講），旨在引導讀者體悟佛法真諦。
Lighthouse for Hong Kong: Book 9
ENG501A-LH-HKLighthouse for Hong Kong: Book 9
A comprehensive English language textbook designed for Hong Kong students, covering diverse themes such as international cuisine, future technology, social events, detective work, and classic literature through integrated vocabulary, grammar, and writing skills.
视觉化英语语法（初级）
ENG001视觉化英语语法（初级）
本课程通过直观的可视化方式，帮助学习者理解英语语法的基础结构，并逐步建立基本词汇和日常交流能力。课程将介绍核心句型结构、常见语法规则以及基础表达方式，通过清晰的示例和互动练习，使学习者能够理解并运用简单的英语句子进行表达和沟通，为进一步的英语学习打下扎实基础。
【人教版】初中地理 八年级 上册
GEOG801A-PEP-CN【人教版】初中地理 八年级 上册
本课程系统讲解中国地理概况，包括疆域、人口、民族分布，地形、气候、河流等自然环境特征，自然资源的利用与保护，以及交通、农业、工业等经济发展状况。
Generative AI for Beginners
AI011Generative AI for Beginners
A comprehensive curriculum exploring the fundamentals of Generative AI, Large Language Models, prompt engineering, and the development of AI-powered applications using tools like Azure OpenAI and the Power Platform.
Lighthouse for Hong Kong: Book 8
ENG401B-LH-HKLighthouse for Hong Kong: Book 8
A comprehensive primary English e-textbook designed for Hong Kong students, focusing on thematic vocabulary, grammar structures (such as 'have to', 'used to', and 'should'), various text types (brochures, journals, encyclopedias), and reading comprehension through local and global contexts.
Calculus: Early Transcendentals (7th Edition)
MATH006Calculus: Early Transcendentals (7th Edition)
A comprehensive textbook covering the fundamentals and advanced topics of calculus, including functions, limits, derivatives, integrals, differential equations, and vector calculus, with an emphasis on conceptual understanding through the 'Rule of Four'.
My Little AI Agent
AI000My Little AI Agent
Designed for preschool learners, this course transforms complex computer science concepts—such as Agents, evolutionary learning, prompting, and even negative entropy—into concrete, playful, and age-appropriate experiences. Across five lessons, children build foundational AI literacy: understanding what AI is and how it helps people, learning to give clear instructions (prompting), exploring specialized AI "helpers" (agents) and teamwork, discovering how AI learns from data and mistakes, and finally engaging in a guided human–AI co-creation project that promotes creativity, responsibility, and technology-for-good values.
《金剛經》注解
PHIL001《金剛經》注解
本書為清代孚佑帝君對《金剛般若波羅蜜經》所作的詳細注解。全書將經文分為三十二分，每分包含經文原文、精要注解（註）以及深入淺出的義理講說（講），旨在引導讀者體悟佛法真諦。
Lighthouse for Hong Kong: Book 9
ENG501A-LH-HKLighthouse for Hong Kong: Book 9
A comprehensive English language textbook designed for Hong Kong students, covering diverse themes such as international cuisine, future technology, social events, detective work, and classic literature through integrated vocabulary, grammar, and writing skills.
视觉化英语语法（初级）
ENG001视觉化英语语法（初级）
本课程通过直观的可视化方式，帮助学习者理解英语语法的基础结构，并逐步建立基本词汇和日常交流能力。课程将介绍核心句型结构、常见语法规则以及基础表达方式，通过清晰的示例和互动练习，使学习者能够理解并运用简单的英语句子进行表达和沟通，为进一步的英语学习打下扎实基础。
【人教版】初中地理 八年级 上册
GEOG801A-PEP-CN【人教版】初中地理 八年级 上册
本课程系统讲解中国地理概况，包括疆域、人口、民族分布，地形、气候、河流等自然环境特征，自然资源的利用与保护，以及交通、农业、工业等经济发展状况。
Generative AI for Beginners
AI011Generative AI for Beginners
A comprehensive curriculum exploring the fundamentals of Generative AI, Large Language Models, prompt engineering, and the development of AI-powered applications using tools like Azure OpenAI and the Power Platform.
Introduction to Python Programming
AI001Introduction to Python Programming
Learn Python, a popular programming language, covering core concepts for everything from web and software development to data science and quality assurance. Skills gained include writing Python 3 programs and simplifying code.
Convex Optimization
MATH008Convex Optimization
A comprehensive graduate-level course and textbook covering the theory, applications, and numerical algorithms of convex optimization. It emphasizes recognizing and formulating convex problems in engineering and sciences.
Introduction to LLMs for Developers
AI010Introduction to LLMs for Developers
This course is a Chinese-adapted version of the three-course large language model series jointly launched by Andrew Ng and OpenAI. It covers Prompt Engineering, building systems with the ChatGPT API, LangChain application development, and using LangChain to access private data. The course provides a clear and accessible introduction to how to leverage the capabilities of large language models to build applications with summarization, inference, transformation, expansion, and chat functions.
OpenClaw: Architecture, Dev & Security for Local AI Agents
AI007OpenClaw: Architecture, Dev & Security for Local AI Agents
This course provides an in-depth analysis of OpenClaw, a groundbreaking open-source framework for autonomous AI agents. It systematically deconstructs the framework's layered system architecture, local-first RAG memory mechanisms, browser automation protocols, and highly scalable skill ecosystem. The curriculum covers practical orchestration of complex workflows, including PIV automation flows and multi-agent committee patterns. Furthermore, it critically analyzes hardware trade-offs in production-grade deployment paradigms and presents defense-in-depth strategies against core security threats such as RCE vulnerabilities and prompt injection. The course aims to empower senior developers and architects to build AI agent systems that possess high autonomy while remaining secure and controllable.
《道德經》解讀
PHIL000《道德經》解讀
本書由林楚菊編著，是香港道教學院叢書之一。全書對《道德經》八十一章進行了逐章解讀，內容涵蓋原文、註釋、白話語譯以及深入的解說與賞析。特別之處在於作者結合了世界諸多宗教（如佛教、基督教、伊斯蘭教、印度教等）的信仰觀點，對老子的哲學思想進行了跨文化的互聯詮釋，旨在為現代讀者提供修行與修身的指引。
《系统论——系统科学哲学》
PHIL003《系统论——系统科学哲学》
本书是系统科学哲学的深度专著，立足于一般系统论、控制论、信息论、耗散结构理论等现代科学，探索系统科学的历史来源，考察宇宙、生命、精神、生态与社会五大系统的特征，概括出八条系统论原理和五条系统论规律，构建了完整的辩证唯物主义系统论体系。
Large Language Models for Everyone: From Basics to Practical Use (2026 Edition)
AI008Large Language Models for Everyone: From Basics to Practical Use (2026 Edition)
This course is a beginner-friendly, practical introduction to Large Language Models (LLMs) such as ChatGPT and Gemini. Designed for learners from any background, it explains how LLMs work at a high level, what they can and cannot do, and how to use them effectively in study, work, and everyday life. Through hands-on demonstrations and guided exercises, you will learn prompt techniques, how to evaluate outputs critically, how to handle hallucinations and bias, and how to use common tools (e.g., documents, summaries, translation, data tasks) safely and responsibly. By the end of the course, you will be able to build a personal “LLM workflow” for real tasks—writing, research, planning, and productivity—without needing advanced coding skills.
Introduction to Python Programming
AI001Introduction to Python Programming
Learn Python, a popular programming language, covering core concepts for everything from web and software development to data science and quality assurance. Skills gained include writing Python 3 programs and simplifying code.
Convex Optimization
MATH008Convex Optimization
A comprehensive graduate-level course and textbook covering the theory, applications, and numerical algorithms of convex optimization. It emphasizes recognizing and formulating convex problems in engineering and sciences.
Introduction to LLMs for Developers
AI010Introduction to LLMs for Developers
This course is a Chinese-adapted version of the three-course large language model series jointly launched by Andrew Ng and OpenAI. It covers Prompt Engineering, building systems with the ChatGPT API, LangChain application development, and using LangChain to access private data. The course provides a clear and accessible introduction to how to leverage the capabilities of large language models to build applications with summarization, inference, transformation, expansion, and chat functions.
OpenClaw: Architecture, Dev & Security for Local AI Agents
AI007OpenClaw: Architecture, Dev & Security for Local AI Agents
This course provides an in-depth analysis of OpenClaw, a groundbreaking open-source framework for autonomous AI agents. It systematically deconstructs the framework's layered system architecture, local-first RAG memory mechanisms, browser automation protocols, and highly scalable skill ecosystem. The curriculum covers practical orchestration of complex workflows, including PIV automation flows and multi-agent committee patterns. Furthermore, it critically analyzes hardware trade-offs in production-grade deployment paradigms and presents defense-in-depth strategies against core security threats such as RCE vulnerabilities and prompt injection. The course aims to empower senior developers and architects to build AI agent systems that possess high autonomy while remaining secure and controllable.
《道德經》解讀
PHIL000《道德經》解讀
本書由林楚菊編著，是香港道教學院叢書之一。全書對《道德經》八十一章進行了逐章解讀，內容涵蓋原文、註釋、白話語譯以及深入的解說與賞析。特別之處在於作者結合了世界諸多宗教（如佛教、基督教、伊斯蘭教、印度教等）的信仰觀點，對老子的哲學思想進行了跨文化的互聯詮釋，旨在為現代讀者提供修行與修身的指引。
《系统论——系统科学哲学》
PHIL003《系统论——系统科学哲学》
本书是系统科学哲学的深度专著，立足于一般系统论、控制论、信息论、耗散结构理论等现代科学，探索系统科学的历史来源，考察宇宙、生命、精神、生态与社会五大系统的特征，概括出八条系统论原理和五条系统论规律，构建了完整的辩证唯物主义系统论体系。
Large Language Models for Everyone: From Basics to Practical Use (2026 Edition)
AI008Large Language Models for Everyone: From Basics to Practical Use (2026 Edition)
This course is a beginner-friendly, practical introduction to Large Language Models (LLMs) such as ChatGPT and Gemini. Designed for learners from any background, it explains how LLMs work at a high level, what they can and cannot do, and how to use them effectively in study, work, and everyday life. Through hands-on demonstrations and guided exercises, you will learn prompt techniques, how to evaluate outputs critically, how to handle hallucinations and bias, and how to use common tools (e.g., documents, summaries, translation, data tasks) safely and responsibly. By the end of the course, you will be able to build a personal “LLM workflow” for real tasks—writing, research, planning, and productivity—without needing advanced coding skills.
Deep Dive into Large Language Models
AI012Deep Dive into Large Language Models
This course provides a comprehensive and in-depth introduction to the development history of large language models (LLMs), their core technical architectures, training paradigms (pretraining, fine-tuning, and alignment), multimodal extensions, prompt engineering, chain-of-thought reasoning, agents, as well as frontier topics such as model safety and privacy protection.
视觉英语启蒙：词汇与句子
ENG000视觉英语启蒙：词汇与句子
本课程是一门面向低龄学习者的英语启蒙课程，通过生动有趣的主题场景（动物、颜色、身体部位、食物、家庭和动作），帮助孩子逐步建立基础英语词汇和简单句型表达能力。课程结合互动活动和情境练习，引导学生学习描述事物、表达拥有、表达喜好以及说明能力等基本语言功能，使孩子能够用简单、自然的英语句子介绍自己和身边的世界，为后续的英语学习打下良好基础。
Lighthouse for Hong Kong: Book 8 (Practice)
ENG401B-LH-HK-PLighthouse for Hong Kong: Book 8 (Practice)
A comprehensive English language resource for Hong Kong students that integrates reading, vocabulary, grammar, and systematic writing instruction across five thematic modules including domestic life, health, history, nature, and travel.
AI Magic Lab
AI004AI Magic Lab
A rigorous course structure integrating four major sections: AI Fundamentals, Large Model Generation (GenAI & LLM), Agents and Evolutionary Computation (highlighted as a PolyU Feature), and Ethics. The course logic progresses sequentially through Perception & Data (L1-3), Cognition & Generation (L4-6), Agents & Evolution (L7-9), and concludes with Ethics & Future (L10).
【人教版】高中英语 必修 第二册
ENG1002C-PEP-CN【人教版】高中英语 必修 第二册
本教材是依据2017年版《普通高中英语课程标准》修订的高中英语教科书。全书通过五个主题单元（文化遗产、野生动物保护、互联网、历史与传统、音乐）培养学生的听、说、读、写综合能力及跨文化沟通素养。
【人教版】高中英语 必修 第三册
ENG1003C-PEP-CN【人教版】高中英语 必修 第三册
本书为普通高中英语必修第三册教材，包含节日与庆典、道德与美德、多元文化、太空探索及金钱的价值五个主题单元。教材通过听、说、读、看、写等综合语言实践活动，旨在全面提升学生的英语学科核心素养。
【人教版】高中地理 选择性必修 第一册
GEOG1001S-PEP-CN【人教版】高中地理 选择性必修 第一册
本课程为高中地理选择性必修模块，系统涵盖了地球运动、地表形态塑造、大气运动、水的运动以及自然环境整体性与差异性等自然地理核心知识点。
Deep Dive into Large Language Models
AI012Deep Dive into Large Language Models
This course provides a comprehensive and in-depth introduction to the development history of large language models (LLMs), their core technical architectures, training paradigms (pretraining, fine-tuning, and alignment), multimodal extensions, prompt engineering, chain-of-thought reasoning, agents, as well as frontier topics such as model safety and privacy protection.
视觉英语启蒙：词汇与句子
ENG000视觉英语启蒙：词汇与句子
本课程是一门面向低龄学习者的英语启蒙课程，通过生动有趣的主题场景（动物、颜色、身体部位、食物、家庭和动作），帮助孩子逐步建立基础英语词汇和简单句型表达能力。课程结合互动活动和情境练习，引导学生学习描述事物、表达拥有、表达喜好以及说明能力等基本语言功能，使孩子能够用简单、自然的英语句子介绍自己和身边的世界，为后续的英语学习打下良好基础。
Lighthouse for Hong Kong: Book 8 (Practice)
ENG401B-LH-HK-PLighthouse for Hong Kong: Book 8 (Practice)
A comprehensive English language resource for Hong Kong students that integrates reading, vocabulary, grammar, and systematic writing instruction across five thematic modules including domestic life, health, history, nature, and travel.
AI Magic Lab
AI004AI Magic Lab
A rigorous course structure integrating four major sections: AI Fundamentals, Large Model Generation (GenAI & LLM), Agents and Evolutionary Computation (highlighted as a PolyU Feature), and Ethics. The course logic progresses sequentially through Perception & Data (L1-3), Cognition & Generation (L4-6), Agents & Evolution (L7-9), and concludes with Ethics & Future (L10).
【人教版】高中英语 必修 第二册
ENG1002C-PEP-CN【人教版】高中英语 必修 第二册
本教材是依据2017年版《普通高中英语课程标准》修订的高中英语教科书。全书通过五个主题单元（文化遗产、野生动物保护、互联网、历史与传统、音乐）培养学生的听、说、读、写综合能力及跨文化沟通素养。
【人教版】高中英语 必修 第三册
ENG1003C-PEP-CN【人教版】高中英语 必修 第三册
本书为普通高中英语必修第三册教材，包含节日与庆典、道德与美德、多元文化、太空探索及金钱的价值五个主题单元。教材通过听、说、读、看、写等综合语言实践活动，旨在全面提升学生的英语学科核心素养。
【人教版】高中地理 选择性必修 第一册
GEOG1001S-PEP-CN【人教版】高中地理 选择性必修 第一册
本课程为高中地理选择性必修模块，系统涵盖了地球运动、地表形态塑造、大气运动、水的运动以及自然环境整体性与差异性等自然地理核心知识点。
Advanced Guide to Prompt Engineering for Large Language Models
AI006Advanced Guide to Prompt Engineering for Large Language Models
A comprehensive advanced guide to mastering AI through structured logic and precise instruction. The course covers structural frameworks (CO-STAR), Few-Shot learning, Chain of Thought reasoning, output format constraints (JSON/Markdown), and prompt system management to resolve issues such as AI hallucinations and poor logical output.
【人教版】初中地理 七年级 上册
GEOG701A-PEP-CN【人教版】初中地理 七年级 上册
本教材为初中一年级地理课程的核心教学材料，系统介绍了地球与地图、陆地与海洋、天气与气候、居民与聚落以及发展合作等基础地理知识，通过读图活动和阅读材料培养学生的地理空间思维和环境保护意识。
《易經》導論
PHIL002《易經》導論
本課程以哲學觀點介紹《易經》的修身養性內涵與面臨當下自我的心智力量，深入淺出地解說陰陽互動宇宙觀、六十四卦結構、占卦原則及《易傳》十翼。課程旨在啟發學生對經典的興趣，並將古老智慧應用於現代生活與決策模式中。
Preschool Math Foundations
MATH000Preschool Math Foundations
This is a five-lesson early childhood math curriculum designed by an AI Tutor to help children transition from rote memorization to true mathematical logic. Through engaging, play-based activities, the course guides young learners across five progressive modules. It begins by building a strong foundation in number sense and quantity perception, then develops spatial awareness by exploring 2D and 3D geometric shapes. Children also cultivate their observation and early algebraic thinking through logic and pattern classification games. Additionally, the curriculum introduces practical measurement skills using everyday objects and concludes by making abstract time concepts concrete to help establish daily routines and planning.
Numerical Analysis
MATH007Numerical Analysis
A comprehensive textbook on the theory and application of numerical approximation techniques. It covers mathematical preliminaries, error analysis, solutions of equations, interpolation, and numerical solutions to differential equations.
Introduction to Deep Learning
AI003Introduction to Deep Learning
Deep learning is a sub-field of machine learning that focuses on learning complex, hierarchical feature representations from raw data using artificial neural networks. The course covers fundamental principles, underlying mathematics, optimization concepts (gradient descent, backpropagation), network modules (linear, convolution, pooling layers), and common architectures (CNNs, RNNs). Applications demonstrated include computer vision, natural language processing, and reinforcement learning. Students will use the PyTorch deep learning library for implementation and complete a final project on a real-world scenario.
Maths in Action (Primary 1-3)
MATH001Maths in Action (Primary 1-3)
This Primary 1 to Primary 3 Mathematics Curriculum is designed to build a solid and comprehensive mathematical foundation for early learners. The syllabus is systematically structured across five core strands: Number, Measures, Shape and Space, Data Handling, and Further Learning. Throughout this stage, students will progress from basic number recognition and arithmetic operations to developing spatial awareness, mastering practical measurement skills, and learning introductory data visualization. Beyond theoretical knowledge, the curriculum emphasizes cultivating logical thinking and problem-solving abilities, encouraging students to apply abstract mathematical concepts to real-world scenarios.
Advanced Guide to Prompt Engineering for Large Language Models
AI006Advanced Guide to Prompt Engineering for Large Language Models
A comprehensive advanced guide to mastering AI through structured logic and precise instruction. The course covers structural frameworks (CO-STAR), Few-Shot learning, Chain of Thought reasoning, output format constraints (JSON/Markdown), and prompt system management to resolve issues such as AI hallucinations and poor logical output.
【人教版】初中地理 七年级 上册
GEOG701A-PEP-CN【人教版】初中地理 七年级 上册
本教材为初中一年级地理课程的核心教学材料，系统介绍了地球与地图、陆地与海洋、天气与气候、居民与聚落以及发展合作等基础地理知识，通过读图活动和阅读材料培养学生的地理空间思维和环境保护意识。
《易經》導論
PHIL002《易經》導論
本課程以哲學觀點介紹《易經》的修身養性內涵與面臨當下自我的心智力量，深入淺出地解說陰陽互動宇宙觀、六十四卦結構、占卦原則及《易傳》十翼。課程旨在啟發學生對經典的興趣，並將古老智慧應用於現代生活與決策模式中。
Preschool Math Foundations
MATH000Preschool Math Foundations
This is a five-lesson early childhood math curriculum designed by an AI Tutor to help children transition from rote memorization to true mathematical logic. Through engaging, play-based activities, the course guides young learners across five progressive modules. It begins by building a strong foundation in number sense and quantity perception, then develops spatial awareness by exploring 2D and 3D geometric shapes. Children also cultivate their observation and early algebraic thinking through logic and pattern classification games. Additionally, the curriculum introduces practical measurement skills using everyday objects and concludes by making abstract time concepts concrete to help establish daily routines and planning.
Numerical Analysis
MATH007Numerical Analysis
A comprehensive textbook on the theory and application of numerical approximation techniques. It covers mathematical preliminaries, error analysis, solutions of equations, interpolation, and numerical solutions to differential equations.
Introduction to Deep Learning
AI003Introduction to Deep Learning
Deep learning is a sub-field of machine learning that focuses on learning complex, hierarchical feature representations from raw data using artificial neural networks. The course covers fundamental principles, underlying mathematics, optimization concepts (gradient descent, backpropagation), network modules (linear, convolution, pooling layers), and common architectures (CNNs, RNNs). Applications demonstrated include computer vision, natural language processing, and reinforcement learning. Students will use the PyTorch deep learning library for implementation and complete a final project on a real-world scenario.
Maths in Action (Primary 1-3)
MATH001Maths in Action (Primary 1-3)
This Primary 1 to Primary 3 Mathematics Curriculum is designed to build a solid and comprehensive mathematical foundation for early learners. The syllabus is systematically structured across five core strands: Number, Measures, Shape and Space, Data Handling, and Further Learning. Throughout this stage, students will progress from basic number recognition and arithmetic operations to developing spatial awareness, mastering practical measurement skills, and learning introductory data visualization. Beyond theoretical knowledge, the curriculum emphasizes cultivating logical thinking and problem-solving abilities, encouraging students to apply abstract mathematical concepts to real-world scenarios.
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