Curriculum 2024

Course Structure

A modern, week-by-week journey—from validating the idea to launching, selling and iterating with confidence.

01

Phase 01: Platform & Tech Stack

Week 1-2

Build a website with AI superpowers. We move beyond basic templates to create a scalable, high-performance learning environment.

FireStudioStripeCursor IDEFirebase

Learning Points

Building with AI

Leverage LLMs to generate site logic and content structures in record time.

LMS Landscape

Understanding where your content lives and how students interact with it.

Site Architecture

Designing a seamless flow from landing page to course completion.

Branding & UX

Applying high-impact themes, typography, and mobile-first conversion best practices.

02

Phase 02: Creating High-End Tutorial Videos

Week 3

Master the complete video production workflow. Transform raw captures into cinematic educational experiences.

OBS StudioDaVinci ResolveVoice
Professional video editing workflow

Learning Points

  • Screen Recordings & Pro Framing

    Capture pixel-perfect demos with professional composition techniques.

  • Audio Polish & Soundscapes

    Noise reduction, EQ, and ambient layering for that premium feel.

03

Phase 03: Marketing & Sales Engine

Week 4-5

Build a repeatable, data-backed system for attracting students without burning out on social media.

Meta AdsMailchimpZapierNotion

Organic Loops

Create content flywheels that turn students into advocates and fuel growth naturally.

Paid Strategies

Master high-intent targeting and conversion-optimized ad creative.

Sales Funnel Blueprint

The exact automation sequence we use to convert leads into committed learners while we sleep.

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04

Phase 04: Feedback, Iteration & Pivot

Week 6

Transform learner feedback into improvement. Use data to decide when to stay the course and when to pivot.

TypeformHotjarGA4Slack

Optimization Framework

A/B

Cohort Testing

Running beta groups to validate pricing, pacing, and curriculum depth before a wide-scale launch.

The Decision Matrix

A quantitative approach to deciding which modules stay, which get cut, and where to double down.

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