The whole process of mass production of AI courses: what tools should be used in each of the 5 links?
Creating an AI course usually involves five steps: "topic selection verification → verbatim outline draft → courseware materials → post-course registration → enrollment promotion". The tools suitable for different links are different. No single tool can do all 5 steps at the same time; a more realistic approach is to choose one for each link and then use a set of combined templates to string them together.
The real time-consuming part of course production is not "writing content", but the repeated conversion of content across 5 different forms - text, structure, visuals, audio and video, and marketing materials. Taking this link apart, the tool selection logic for each link is actually different: some look at long text processing capabilities, some look at template quality, and some look at the ability to "change one version without re-recording".
Stage 1 · Topic selection verification and demand research
What to do: Confirm that someone is willing to pay and find a differentiating angle
How to choose: Can the real demand data of the Chinese platform be read (search index, platform hot list, negative reviews of competitive courses)
| Tool | What it solves at this stage | Category |
|---|---|---|
 NotebookLM | Convert research materials into structured notes to quickly form conclusions on topic selection | AI Audio & Voice |
 Voicenotes | Voice recordings of interviews and brainstorming can be directly converted into a list of usable topics. | AI Audio & Voice |
Stage 2 · Course syllabus and verbatim draft
What to do: Divide professional accumulation into modules → class hours → verbatim draft
How to choose: Ability to process long articles; whether it can be aligned according to "pain points-solutions" instead of just listing knowledge points
| Tool | What it solves at this stage | Category |
|---|---|---|
 ChatGPT | Produce outlines and verbatim drafts according to modules, and use prompt words to control the rhythm of explanations | AI Chat Models |
Stage 3 · Courseware and visual materials
What to do: Courseware layout, cover, pictures, charts
How to choose: Template quality and batch output; whether Chinese typesetting is stable
| Tool | What it solves at this stage | Category |
|---|---|---|
 Gamma | Input the topic to directly generate a complete set of presentations, and the courseware is the fastest to start | AI Office & Productivity |
 Napkin | Convert text key points into presentation diagrams, suitable for explaining abstract logic clearly | AI Office & Productivity |
Stage 4 · Course recording and post-production
What to do: Recording, editing, dubbing; whether to re-record when batch updating
How to choose: Whether to support "rewrite one version without re-recording" - the core value point of digital human and dubbing branch
| Tool | What it solves at this stage | Category |
|---|---|---|
 VibeKnow | Knowledge video creation, suitable for a series of short video courses | AI Video Generation |
Stage 5 · Admissions materials and promotion content matrix
What to do: Details page, short video script, public account/Xiaohongshu pictures and texts
How to choose: Can one set of content be rewritten for multiple platforms instead of rewriting for each platform?
Three typical setups
👥 Personal side business (mainly mobile phone)
Independent lecturer, knowledge blogger
- ChatGPT (or Doubao)
- Gamma / 课灵 PPT
- YOCO Smart Course Authoring / iFLYTEK智作
- 创作王
The text model is responsible for the first two links, the design tool solves the courseware problem, the course production tool replaces screen recording and editing, and finally, the marketing tool is used to produce enrollment materials - no filming is required for the entire process.
👥 Small team (2–5 people)
Small course team, training institution teaching and research
- ima.copilot (private knowledge base)
- Zhipu Qingyan / 光速写作
- Gamma + Napkin
- YOCO Smart Course Authoring
- 创作王 + 匡优 AI
Use the knowledge base to accumulate the existing information of the institution, divide the work of verbatim manuscripts and courseware in parallel, use the course-making tools to reduce the cost of rework, and the question-writing tools complement the supporting assessment.
👥 Institutional mass production
Institutions that need to unify their standards and review processes
- Private knowledge base + long-form document model
- Gamma / 万知
- VibeKnow / YOCO Smart Course Authoring
- iFLYTEK智作
The focus is on brand consistency and review nodes: content is first generated, then reviewed in a unified manner, and finally courses are produced in batches to avoid each instructor using a set of templates.
Common pitfalls
AI gives you a first draft, and the value of the course comes from your judgment and real cases. You must read the verbatim manuscript yourself and then revise it, otherwise students will hear the "AI flavor" as soon as they hear it.
It is much safer to do a 30-60 minute mini-course first to verify your needs than to spend three months doing a complete course.
Statements on performance commitments, student cases, and revenue figures must comply with the requirements of the Advertising Law. It is recommended that the person in charge of the content check them before publishing.
Tools solve the problem of single-point efficiency. What really determines the output speed is the interface between links - the granularity of the outline, the naming convention of courseware, and the corresponding relationship between audio tracks and class hours. It is recommended to set the specifications before choosing tools.
FAQ
Is it necessary to use digital people to conduct courses?
uncertain. The value of digital people lies in "no need to re-record when the content is updated." If the course will continue to iterate, it can significantly reduce rework; if it is a one-time content, just use the course production tool to convert the PPT into an explanation video.
Can AI-generated course content be directly used commercially?
It is recommended to treat AI output as a first draft: it needs to be manually rewritten, supplemented with real cases, and the copyright and platform rules of the cited materials must be confirmed. It cannot be directly copied and published.
What are the minimum number of tools required for the 5 steps?
In the personal side business scenario, 4 models can be used: a long article model, a courseware tool, a course production/dubbing tool, and a marketing copywriting tool.
Related guides
- When using AI to create paid knowledge courses, what are the steps from topic selection to enrollment? What tools should be used in each step?
- What should I do if I make an AI comic and the character keeps "changing his face"? How should I choose tools?
Note: tool information comes from our directory. Pricing, quotas and licensing terms are subject to each tool’s official site; please verify capabilities by testing yourself.
