AIGC digital content and new media career training | AI comics, AI drama, AI new media, UE projects, portfolio | Career service agreement at enrollment

Teaching Method

Verify learning through stage outputs, not class hours

The method is built around role capability maps, project practice, portfolio review, and career-service notes.

01

Role map

Break down roles before courses

Map account positioning, content planning, shooting, editing, live collaboration, AIGC production, data review, and communication into course tasks.

02

Projects

Every stage has a submitted output

The endpoint is not finishing a lesson, but account plans, short videos, live plans, agents, project reviews, and portfolio material.

03

AI tools

Tools serve workflow and do not replace judgment

AI improves production efficiency, while script logic, copyright boundaries, visual quality, business expression, and review still need human judgment.

04

Review

Use review to turn work into career expression

A portfolio should explain goals, methods, tools, personal responsibility, revision process, and final review.

05

Boundary

Career-service preparation starts during learning

Work samples, resume materials, and interview stories are built during the course. Role recommendations and service matters follow specific terms.

Project Production Workflow

One project workflow connects scripts, storyboards, AIGC production, portfolio, and review

Positioning

Clarify work, audience, and learning goals first

Choose topics from role, platform, and portfolio needs, not from tool names.

Script

Build scripts, characters, and storyboards

Turn AI comics, AI drama, and AI new media tasks into materials, shots, and workflows.

AI

Use AIGC for images, video, and project materials

Put AI writing, images, video, audio, and agents into project delivery.

Review

Turn projects into capability evidence

Explain goals, methods, tools, responsibilities, revisions, and review.

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