Microcourse Roadmap
A 300-microcourse plan built around one rule: one specific problem → one clear course title → one target role → one practical output.Not “Complete AI Marketing” — courses like “AI Brand Voice: Make Every Draft Sound Like Your Brand.”
This is a research-informed launch shortlist, not a verified ranking of the world's best-selling courses — actual purchase demand gets validated through paid pilots, not assumed in advance.
Browse the roadmap by academy or by topic
The same planned course list, organized two ways — pick whichever view is easier to scan.
Concept libraries: management, marketing and IT
Three subject maps, with one drafted microcourse for every topic area: concept → framework → practical workflow → deliverable → metrics. Each area also has a free webinar topic on the vote board.
Don't record 300 courses at once
The academy-based plan shortlists 12 courses (3 per academy, ★ marked) as the first production set. Pilot those, test with real learners, refine the first batch, then expand the rest on evidence.
AI Debugging: Find and Fix One Reproducible Bug
AI Unit Tests: Catch the Missing Edge Cases
AI Codebase Navigator: Understand an Existing Module
AI Job Descriptions: Build a Clear Role Scorecard
AI Resume Extraction: Turn CVs into Checked Candidate Data
AI Onboarding Checklists: Give Every Task an Owner
AI Brand Voice: Make Every Draft Sound Like Your Brand
AI Content Calendar: Plan 30 Days Around Real Goals
AI Content Repurposing: Turn One Asset into Five Useful Formats
AI Prospect Research: Build a Source-Checked Account Brief
AI Sales Emails: Personalize Without Inventing Familiarity
AI Sales Call Notes: Turn Conversations into Checked CRM Updates
The topic-based plan separately calls out up to 50 first-pilot candidates (★) as its drafted content grows — 29 are starred among the 96 drafted so far.
What a finished microcourse looks like
Problem → Sample input → AI-assisted task → Human verification → Reusable output. These are planning estimates — actual published durations get calculated from the real recordings.
| Video learning | Usually 25–35 minutes, split into focused short lessons. |
| Practical work | Usually 20–35 minutes, shown separately from video duration. |
| Advanced technical lab | Around 50 minutes video + 50 minutes practice, with a provided starter setup. |
| Input | One sample document, dataset, code module, customer brief, or transcript. |
| Output | One complete, reviewable artifact — not just a list of prompts. |
| Workflow kit | A reusable prompt, editable template, worked example, and quality checklist. |
| Completion check | The learner can repeat the task independently on a new sample. |
Want a say in which courses get made first?
Browse the drafted courses, tell us which problem is worth solving first for you, and we'll notify you the moment it's produced.
Start with your report before choosing any paid plan.