
Course Introduction
Learning AI has long left behind single-tool operation. The truly valuable AI ability is project-practical skills that fit multiple scenarios, can be landed and reused. Most AI courses on the market have scattered content and hollow cases; after learning you only know basic operations and cannot apply them to study, work and teaching. This third AI-Empowerment edition focuses on full scenarios, multiple cases, hands-on emphasis, and landability; it gathers a vast number of real application projects, and layer by layer leads learners to master the diverse ways of playing with AI, building a complete AI application ability system from zero.
The whole course has no empty theory; it centers entirely on real projects, covering four major scenarios: teaching, creation, office and development. Even zero-basis learners can gradually master the full set of skills, and after learning independently complete all kinds of AI project practice, achieving skill landing and ability advancement.
1. Zero-basis AI learners who want to systematically master full-scenario AI practical skills
2. Education practitioners and teachers who need to make micro-lessons, picture books and teaching materials
3. Office workers who want AI to bring document, data and office efficiency
4. Self-media creators and students who need to quickly make creative videos and web works
5. Enthusiasts who want to learn agent development and web building, advancing to advanced AI ability
1. Build AI creation thinking: master AI project topic selection and creation ideas, independently innovate and land all kinds of cases
2. Master agent development: skillfully build, deploy and optimize your own AI agent projects
3. Independently make AI creative content: on your own complete picture books, micro-lessons, flash-mob videos and all kinds of works
4. Master AI office skills: play with Feishu AI tools, automating data processing, grading and statistics
5. Have web development ability: build all kinds of webpages from zero, configure backends, replicate programs
6. Skillfully use advanced tools: master TRAE, MCP and more, handling the full set of intelligent document processing
01. Session 1.1 - How to teach the AI-empowerment course well?
02. Session 1.2 - Topic selection and ideas for AI application cases?
03. Session 1.3 - Case 1: login-free online class learning-resource sharing space
04. Session 1.4 - Case 2: museum - webpage development
05. Session 2.1 - Case 2 museum agent development (method 1)
06. Session 2.2 - Case 2 museum agent development (method 2)
07. Session 2.3 - Case 2 museum - data collection
08. Session 3.1 - Why make AI picture books
09. Session 3.2 - Picture-book making approach 1
10. Session 3.3 - Picture-book making approach 2
11. Session 3.4 - Case 1: audio picture book - AI applications
12. Session 3.5 - Case 2: long picture book - information security
13. Session 4.1 - Pre-class Q&A and essential video-generation tools
14. Session 4.2 - AI video - Case 1: flash-mob video
15. Session 4.3 - AI video - Case 2: digital-world identity (situational micro-lesson)
16. Session 4.4 - AI video - Case 3: museum heritage protection (situational micro-lesson)
17. Session 4.5 - AI video - Case 4: smart long video from multiple images (situational micro-lesson)
18. Session 4.6 - Feishu - Case 1: memo
19. Session 4.7 - Feishu - Case 2: test-paper collection and visualization
20. Session 4.8 - Feishu - Case 3: AI picture-book album
21. Session 4.9 - Feishu - Case 4: group-scoring big screen
22. Session 4.10 - Feishu - Case 5: AI essay grading
23. Session 5.1 - Common AI web tools?
24. Session 5.2 - Case 1: simulation-type webpage
25. Session 5.3 - Case 2: three methods of AI dialogue
26. Session 5.4 - Case 3: replicate a program webpage
27. Session 5.5 - Case 4: build a backend for all HTML
28. Session 5.6 - Case 5: TRAE agent + MCP + document processing (Word and Excel)
This course comes with a materials pack. Members receive the access link by email after requesting the course.