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音频课《看不见的公式》

你每天都在被“公式”影响，却从未真正看见它们。《看不见的公式》是一门面向大众的AI启蒙音频课程。我们不讲复杂推导，不做枯燥计算，而是用故事 + 场景 +直觉解释，带你理解那些正在悄悄改变世界的数学原理。

Mastering AI Agents: Architecture, Autonomy, and Applications

In the rapidly evolving landscape of artificial intelligence, the paradigm is shifting from passive language models to active, autonomous decision-makers. This course provides a comprehensive foundation into the world of AI Agents—systems capable of perceiving their environment, reasoning through complex tasks, and executing actions to achieve specific goals.

AI for Business

AI for Business Owners is a hands-on, 5-day intensive built for business owners and small teams—no coding background required. Instead of starting with theory, you start by doing: generate product visuals and short ad videos, build a working bilingual website from a business brief, and set up AI to automate real work on your computer. Once you've seen the results, we explain the concepts behind each workflow so you can repeat them with confidence. Over five days you'll move from marketing visuals and websites to data analysis, AI-assisted reporting, business workflow design, and a final capstone where your team presents a complete AI-enabled solution. Every day ends with a concrete deliverable and Owner Office Hours for your specific questions. You'll leave knowing exactly what AI can and cannot do—and with a 30-day action plan to put it to work in your business.

Introduction to Artificial Intelligence

This courseware is designed to guide you through the fundamentals of AI in a clear and approachable way. You will explore what AI truly is, how it works, and what opportunities and challenges lie ahead—all without needing a background in advanced mathematics.

Computer Architecture, Organization, and Operating Systems

This courseware introduces the fundamental concepts of computer architecture, computer organization, and operating systems. Students will learn how hardware components work together to execute instructions, manage resources, and support modern computing environments. The material is designed to build a strong foundation for understanding the interaction between hardware and software.

Rrreinaldo

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Core Programming AI1 mins

Algorithm and Data Structure

Algorithm and Data Structure course introduces students to the fundamental structures and algorithmic techniques that power modern artificial intelligence systems. Through a practice-centered approach, students learn to analyze algorithm efficiency, implement core data structures such as arrays, linked lists, stacks, queues, hash tables, trees, heaps, and graphs, and understand how these structures enable scalable and efficient AI applications. Each topic is connected to real machine learning and data processing scenarios such as batch handling, vocabulary indexing, decision trees, top-k retrieval, and graph-based recommendations. By combining conceptual foundations, hands-on coding, PCL mini-projects, and AI-driven problem solving, the course equips students with essential algorithmic thinking and prepares them for advanced AI coursework, engineering roles, and technical interviews.

RRaymond

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Applications and Development

AI for Business Owners

AI for Business Owners is a hands-on, intensive built for business owners and small teams—no coding background required. Instead of starting with theory, you start by doing: generate product visuals and short ad videos, build a working bilingual website from a business brief, and set up AI to automate real work on your computer. Once you've seen the results, we explain the concepts behind each workflow so you can repeat them with confidence. You'll move from marketing visuals and websites to data analysis, AI-assisted reporting, business workflow design, and a final capstone where your team presents a complete AI-enabled solution. Every session ends with a concrete deliverable and Owner Office Hours for your specific questions. You'll leave knowing exactly what AI can and cannot do—and with a 30-day action plan to put it to work in your business.

Introduction to Large Language Models

Introduction to Large Language Models is an advanced artificial intelligence course that explores the architecture, training, and applications of modern language models that have revolutionized natural language processing. The course covers foundational concepts including transformer architectures, attention mechanisms, tokenization strategies, and scaling laws, alongside practical techniques like prompt engineering and parameter-efficient fine-tuning (such as LoRA). Through hands-on experiments using frameworks like Hugging Face Transformers and OpenAI APIs, students will build and evaluate practical applications such as chatbots, code generation tools, and text summarization systems. By the end of the course, students will be equipped to leverage foundation models for complex reasoning and generation tasks while understanding the technical challenges and responsible deployment of large-scale AI systems.

DDave

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Applications and Development

Software Engineering for AI

Software Engineering for AI is a practical course that teaches students essential software development practices and methodologies specifically tailored for building, deploying, and maintaining artificial intelligence systems. The course bridges the gap between machine learning models and production-ready software by covering fundamental concepts such as version control, testing frameworks, and architecture design, alongside AI-specific MLOps practices like model versioning, experiment tracking, and data pipeline management. Through hands-on development projects, students will learn collaborative coding, containerization with Docker, and continuous integration and deployment (CI/CD). By the end of the course, students will be equipped to build reliable AI applications, ensure model reproducibility, and deploy scalable machine learning models to production environments using modern cloud platforms and API frameworks.

DDave

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