What is Hands-On AI: Artificial Intelligence Literacy and Practice
Hands-On AI: Artificial Intelligence Literacy and Practice is an AI literacy public welfare course jointly launched by Alibaba Cloud and Chaoxing Erya together with renowned teachers from five universities: Peking University, Nanjing University, Fudan University, Shanghai Jiao Tong University, and Zhejiang University. It will be launched on September 1 and will be open free of charge to teachers and students at universities nationwide. The course combines theory and practice, covers the history of AI development, core technologies, ethics and security, and other content, and provides 8 online experiments so that students can learn while practicing. The course has three versions (humanities and arts version, social sciences version, and science and engineering version) to meet the needs of different majors. Alibaba Cloud provides technical support and computing power vouchers to help students master AI technology and become interdisciplinary talents.
Main features of Hands-On AI: Artificial Intelligence Literacy and Practice
- Theoretical teaching: Taught by renowned teachers from five universities, covering the history of AI development, core technologies, ethics and security, and other content to build a systematic knowledge framework.
- Practical teaching: Based on the Alibaba Cloud platform, 8 online experiments are designed, and free computing power vouchers are provided, allowing students to learn while practicing.
- Teaching services: Chaoxing Erya provides one-stop services, integrating theoretical learning, experimental operations, and grade management to solve practical challenges.
- Resource sharing: Relying on renowned teachers from the Huawu universities and Alibaba Cloud technology, it provides authoritative teaching content and strong technical support.
- Talent development: Combining theory and practice, it cultivates interdisciplinary talents who understand both AI technology and industry applications, enhancing future competitiveness.
- Public welfare and openness: Open free of charge to teachers and students at universities nationwide, lowering the learning threshold and promoting the fair distribution of educational resources.
Course design of Hands-On AI: Artificial Intelligence Literacy and Practice
- 3 standard versions: Science and engineering version, humanities and arts version, and social sciences version
- Course catalog：
- Chapter 1 — The history of AI development
- Chapter 2 — Search and optimization algorithms
- Chapter 3 — How AI learns: Principles of machine learning
- Chapter 4 — How AI learns: Foundations of deep learning
- Chapter 5 — How AI converses: Natural language processing
- Chapter 6 — Large language models
- Chapter 7 — Generative artificial intelligence
- Chapter 8 — How AI sees the world: Computer vision
- Chapter 9 — Data applications and visualization
- Chapter 10 — Harnessing AI: Intelligent agents
- Chapter 11 — AI development and industry trends
- Chapter 12 — AI ethical challenges and governance
How to access Hands-On AI: Artificial Intelligence Literacy and Practice
Visit the official registration website https://survey.aliyun.com/apps/zhiliao/uNThqfHB-?sessionid=，填写报名信息等待开课。
Application scenarios of Hands-On AI: Artificial Intelligence Literacy and Practice
- Higher education: Provides university undergraduates and graduate students with training in AI fundamentals and practical skills, laying a solid foundation for future careers.
- Vocational training: Provides continuing education related to AI for working professionals, enabling users to master the latest AI technologies and applications and enhancing workplace competitiveness.
- Interdisciplinary research: Support researchers from different disciplinary backgrounds in using AI technology for innovative research, such as applications in medicine, finance, education, and other fields.
- Industrial Upgrading: Help enterprise employees understand and apply AI technology, and promote enterprise digital transformation and intelligent upgrading.
- Innovation and Entrepreneurship: Provide the necessary knowledge and skills for individuals or teams aspiring to start businesses in the AI field, and promote the incubation and development of innovative projects.