AI-Empowered Full-Scenario Practical Course: Agent Development + AI Video + Picture-Book Micro-Lessons + Web Building + Feishu Office — Land AI Projects From Zero

1. Course Introduction

The AI-Empowered Multi-Scenario Practical Course is a comprehensive hands-on course built around AI agent development, AI video creation, web development, teaching applications and office-efficiency automation. Through a large number of real cases it helps zero-basis learners build complete AI application ability. It starts from AI case selection, project ideas and application scenarios, hands-on building an online class learning-resource space, a museum-themed webpage and an agent, mastering agent development and data collection; then moves into AI content creation, learning projects such as audio picture books, long picture books, flash-mob videos, situational micro-lessons, and long video generated from multiple images. The office-efficiency part uses Feishu to complete memo, test-paper collection and data visualization, group-scoring big screen, AI essay grading, and AI picture-book albums; the web part further learns simulation webpages, AI dialogue, program webpage replication, and HTML backend configuration, ending with advanced projects combining the TRAE agent, MCP and Word/Excel document processing, upgrading learners from using AI tools to independently designing and landing AI projects.

2. Who This Is For

1. Zero-basis AI beginners
2. Teachers and education/training practitioners
3. Office workers who want AI efficiency
4. Self-media and content creators
5. Those who want to learn agent and web development

3. What You Will Gain

1. Master AI project topic selection and landing ideas
2. Learn to build AI agent applications
3. Independently make picture books, micro-lessons and AI videos
4. Master Feishu AI office automation
5. Master AI web development and document processing

4. Course Catalog:

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)