About this course
Course Introduction: What is AI? |Artificial Intelligence course name: What is AI? |Overview of Artificial Intelligence
Course type: Beginner level/Science popularization
Target audience: Students, professionals, and technology enthusiasts interested in artificial intelligence (no professional background required)
Course Introduction: Artificial Intelligence (AI) is profoundly changing our world, from smartphones to autonomous driving, from medical diagnosis to financial analysis, AI technology is everywhere. But what exactly is artificial intelligence? How does it work? How will the future develop? This course will use easy to understand language to take you into the world of AI and unveil the mysterious veil of artificial intelligence. Whether you are a novice with zero foundation or an explorer who hopes to systematically sort out AI knowledge, this course can help you quickly understand the core concepts, application scenarios, and future trends of AI. Course objective 1 Understanding AI Fundamentals: Mastering the definition, brief history of development, and core classifications of artificial intelligence (such as machine learning and deep learning). two Explore AI applications: Understand practical cases of AI in daily life, healthcare, finance, industry, and other fields. three Understanding the principles of technology: A preliminary understanding of how AI learns and makes decisions through data (without the need for mathematical formulas). four Looking to the future: Discuss the ethical challenges, social impacts, and future development directions of AI. Course Outline 1 Definition of AI ◦ What is artificial intelligence? Comparison between AI and human intelligence. two The Development History of AI: From Turing Test to ChatGPT: Key Milestones. Why is AI experiencing explosive growth today? three Core Technologies of AI: Machine Learning vs. Deep Learning vs. Generative AI. Introduction to Supervised Learning, Unsupervised Learning, and Reinforcement Learning. four The daily applications of AI include voice assistants (such as Siri), recommendation systems (such as Netflix), facial recognition, and other case studies. five The Challenges and Future of AI: Ethical Issues: Bias, Privacy, and Unemployment Risks. How far is General Artificial Intelligence (AGI) from us?
Course Features
✅ Zero threshold: No programming or mathematical foundation required, use real-life examples to explain techniques.
✅ Strong interactivity: interspersed with video demonstrations, real-time Q&A, and scene discussions.
✅ Frontier perspective: Combining the latest AI trends (such as big language models, AIGC). Learning gains
✔ Clearly answer 'What is AI' and confidently participate in relevant discussions.
✔ Identify the application scenarios of AI technology in daily life.
✔ Develop independent insights into the potential and risks of AI development.
