What is AI大学堂?
AI University organizes its content around courses and learning services, with the homepage providing access to AI Learning, the course catalog, bootcamps, and instructional tutorials. Recommended content covers AI video creation, workplace applications, data analysis, and research practice, while also offering learning pathways in areas such as SQL fundamentals and TensorFlow basics, making it easy to choose courses based on your existing skills and goals.
Certifications related to large models are offered separately for areas such as Prompt engineering, agent development, RAG applications, and fine-tuning engineers; enterprise services, on the other hand, focus on technical theory and hands-on project training for teams. Course learning, bootcamps, and certifications are accessed through distinct channels, and the eligibility criteria for a particular free open course should not be generalized to imply that all services are free.
For actual learning, you can first review the course catalog and detailed course descriptions, then log in to access your own classroom. The homepage lists recommended courses and open courses, some of which are marked as free; details on bootcamps, certifications, and enterprise services—including their schedules, fees, and participation requirements—can be found on their respective pages.
Key features
Course Catalog: Select AI Applications and Technologies courses based on your learning interests.
Public and Recommended Courses: Cover practical areas such as the workplace, video production, data analysis, and scientific research.
Engineer Certification Portal: Covers Prompt, Agent, RAG, and Fine-Tuning directions.
Training Camps and Enterprise Services: Offer learning and training pathways that differ from regular courses.
My Classroom: After logging in, access your personal course learning area.
Use cases and audience
Individual learners, developers, and enterprise teams who wish to acquire knowledge in AI applications, programming and data analysis, and large model development.
- Learn about the everyday and professional applications of AI tools through free open courses.
- Learn the fundamentals of SQL, data analysis, or machine learning.
- Look for systematic learning and certification pathways centered around agents, RAG, and related areas.
Learning paths, course selection, and registration/login information; specific courses should prepare practice materials according to their respective requirements.
Online course content, exercises, and corresponding learning records; certification and training outcomes are provided in accordance with the relevant program rules.
How to use
- 01
Choose a learning path from the official website’s course catalog or the AI Learning portal.
- 02
View the course description, difficulty level, participation requirements, and fees.
- 03
Register or log in to access the selected course and your own classroom.
- 04
Study and practice according to the course schedule; for certification or intensive training, please refer to the respective project entry.
Benefits and limitations
Benefits
- Application practices, technical courses, and certification access are all consolidated on a single platform.
Limitations
- Different courses, bootcamps, and certifications have their own requirements and must be checked individually.
Pricing and availability
Free entry available
2026-10-23 Official website verification: Certain recommended courses and open classes on the homepage are explicitly marked as free; this should not be interpreted to mean that all courses, bootcamps, engineer certifications, or enterprise services are free—please refer to the respective pages for details on other offerings.
- Pricing source
- https://www.aidaxue.com/
- Pricing last updated
- 2026-10-23
Prices and limits may change. Check the official website for current terms.
Official website & sources
Updated on 2026-10-23
