Course Curriculum

Viral Content Creator: AI Short-Form Video Marketing

8sections
13lectures
2h 35mtotal

What you’ll learn

  • Grow organically on TikTok, Reels & Shorts with zero ad budget, using content that looks native instead of like a paid ad

  • Research any niche with AI: analyze viral videos and accounts and extract their hooks, scripts, and patterns using Claude Code

  • Write scroll-stopping hooks using proven formulas and psychological triggers, and adapt any of them to your own niche fast

  • Build realistic AI influencers and generate consistent photo and video content using AI models like Nano Banana, Kling and more

  • Run it as a system: test hypotheses in sprints, track the metrics that matter, warm up accounts without getting banned, and know when to scale

  • Build reusable Claude Code skills that stay in your project - point them at a link and a hook, and they produce finished content

01

Finding Viral Trends & Research

2 lectures • 24min

  • Viral Trend Research

    The foundation of the whole course: how to research your niche before making a single video. You'll learn how organic app promotion actually works on TikTok and how to find the trends, accounts, and language your audience already responds to. In this lecture: - Why organic beats paid for app promotion - How to research your niche and spot winning content - Finding the keywords your audience actually searches - Setting up for everything we build in the next lessons

    19:31

  • Keyword prompts in action

    A short hands-on walkthrough: we turn the theory into a ready keyword list using the attached prompts. You'll see exactly how to generate search terms and hashtags for your own product. In this lecture: - Using the keyword prompt step by step - Adapting it to your product (example: Unsent) - Direct-topic, pain-based, and conversational keyword groups - Attached files: TikTok keywords prompt (general + Unsent example)

    4:26
02

Analyzing Videos & Accounts with AI

2 lectures • 22min

  • Trend-watching and content analysis

    This is where AI joins your workflow. You'll learn how to break down any viral video or account into the elements that made it work - hooks, scripts, metrics, and patterns - instead of guessing. In this lecture: - What to look for in a viral video - How AI analysis speeds up trend-watching - Turning raw data into repeatable patterns - Building analysis skills you can reuse anytime

    12:42

  • Building it in Claude Code

    A full screen-recorded walkthrough: we set up the project, connect the data, and run the analysis prompts live. Follow along and build the same system for your own product. In this lecture: - Setting up the Claude Code project and API keys - Creating the project memory (CLAUDE.md) - Analyzing a video, then a whole account - Saving your own analysis skills

    9:40
03

The Hook Formula Library

1 lecture • 10min

  • Hook formula library

    The hook decides whether anyone watches. This lesson gives you a library of 12 universal hook formulas, grouped by the psychological trigger they pull, with cross-niche examples you can copy and adapt. In this lecture: - Why the first 3-5 seconds decide everything - 12 hook formulas across 4 triggers: curiosity, pain, benefit, identity - Real examples adapted to different niches - How to build your own hook bank

    9:52
04

Creating Realistic AI Influencers

1 lecture • 12min

  • AI influencers + visual generation

    Learn how to create a realistic AI creator that promotes your product without looking artificial. You'll build a detailed Creator Doc from a real prototype and get an intro to the best image and video generation models. Includes a live walkthrough of building the Creator Doc in Claude Code. In this lecture: - Why AI content looks fake, and how real context fixes it - Finding a prototype and collecting the right details - Building a Creator Doc (live in Claude Code) - Best image and video models, and where to get access - Attached file: Creator Doc prompt

    12:14
05

References, Hooks & Scripts

1 lecture • 16min

  • References, hooks and scripts

    The complete content system in one lesson: from gathering references to writing hooks and scripts, understanding your audience, and avoiding the red flags that kill reach. Includes ready prompts and a file of 50 hook templates. In this lecture: - Gathering references and analyzing them for patterns - Splitting your audience into personas - Hook formulas and a 4-part hook framework - Writing native scripts that don't feel like ads - The mistakes that stall growth, and the right way to CTA - Attached files: Prompts, 50 Hook Templates

    15:51
06

Generating Viral Content

4 lectures • 50min

  • Generating Static Content: Carousels & AI Images

    Why carousels convert better than you'd expect, and how to make AI images that look like real photos instead of AI renders. We cover the models, the prompting patterns that kill the plastic look, and how to keep one character consistent across every slide.

    10:01

  • Practice: Building a Carousel Content Machine

    Build the carousel machine end to end, live in Claude Code. We connect an image model through the Runware API, generate the first slide, and iterate on it in plain language until the style is right. Then we lock that style into a reusable skill - so every future carousel comes out consistent without re-explaining anything. By the end you'll produce a full carousel from a single prompt, and you'll have the skill saved in your own project.

    13:37

  • Generating Video Content: Face Swap, AI Actors & Motion

    How to produce video content with AI actors - without a camera, a studio, or an editor. We'll cover the models available right now and what each one is for, how face swap works and why it beats generating a person from scratch, and how motion control lets you borrow an exact movement from a reference video. You'll also learn why a consistent character matters more than a perfect one.

    9:50

  • Practice: Building a Video Content Machine

    Build the video pipeline end to end, live in Claude Code. We connect a video model, pull a frame from a real TikTok, swap in our own AI character, and bring that still to life. Then we borrow an exact movement from a reference clip with Motion Control, and edit everything into a finished vertical video - hook text on top, end card at the bottom. You'll watch a face swap fail first, and learn the rule that makes it work. Then we save the whole pipeline as a skill and generate a batch of finished videos from a single command.

    16:25
07

Operations and scaling

1 lecture • 15min

  • Operations & Scaling: From Sprints to a Content Team

    Everything up to now was about making content. This lecture is about running it as a business. You'll learn how to structure a content hypothesis, test it honestly in sprints instead of judging by one lucky video, and read the metrics that actually matter. We'll cover the three stages every channel goes through - reach, conversion, scale - and why looking at all three at once is the fastest way to burn out. You'll also get the practical account mechanics: how to warm up a new account, how often to post without killing your reach, and what benchmarks to expect at each stage. Plus the honest part about attribution - why the link in bio only shows you 5-10% of the picture, and how to tell your content is converting anyway. Finally: when to scale, who to hire first, and what to look for in a creative strategist.

    14:37
08

Conclusion

1 lecture • 6min

  • Conclusion: What You Built and What's Next

    What you built, where you are on the map, and exactly what to do in your first week of posting. Plus the mistakes that make people quit - and the honest truth about how long this takes.

    6:16