Microcourses, by Academy
60 of 300 planned courses are drafted so far — each with a specific problem, a clear title, a target role, and a practical output.
AI Brand Voice: Make Every Draft Sound Like Your Brand
Problem: AI content feels generic and doesn't match the brand's actual voice.
A reusable brand-voice prompt kit built from approved examples.
For: Content Writer, Brand Manager
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AI Content Calendar: Plan 30 Days Around Real Goals
Problem: Daily content ideas get picked randomly, disconnected from business goals.
A calendar with audience, objective, format, and review dates.
For: Social Media Manager, Content Strategist
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AI Content Repurposing: Turn One Asset into Five Useful Formats
Problem: A webinar or blog never gets reused after it's published once.
Source-faithful post, email, carousel, script, and summary drafts.
For: Content Writer, Social Media Executive
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AI Short-Video Scripts: Write a Clear Hook and Story
Problem: A short video's hook is weak and the script is unfocused.
One focused short-video script with checked claims.
For: Creator, Video Marketer
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AI Carousel Builder: Turn One Idea into a Clear Story
Problem: A carousel has information, but no clear story or slide flow.
Slide-by-slide copy and a readable content hierarchy.
For: Social Media Manager, Designer
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AI SEO Content Briefs: Start with Intent and Evidence
Problem: A blog brief is generic and missing factual sources.
Reader questions, a source-backed outline, and a claim checklist.
For: SEO Writer, Content Strategist
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AI Keyword Clustering: Match Search Intent to Pages
Problem: A keyword list mixes intent, and the relevant website pages aren't clear.
A reviewed keyword-intent-to-page mapping.
For: SEO Executive, SEO Strategist
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AI Ad Variations: Test Different Messages, Not Random Words
Problem: Ad variants only change wording, without testable message differences.
Distinct message angles and a creative test matrix.
For: Performance Marketer, Copywriter
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AI Landing-Page Copy: Clarify the Offer Before the Click
Problem: The landing page doesn't clearly explain the offer, benefits, or next step.
Reviewed headline, benefits, and call-to-action copy.
For: Copywriter, Growth Marketer
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AI Campaign Reports: Verify the Numbers Before the Story
Problem: Spend, revenue calculations, and conclusions don't line up in the campaign report.
Checked calculations and an evidence-based performance narrative.
For: Marketing Analyst, Performance Marketer
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AI Customer Review Mining: Find Needs Behind the Comments
Problem: Useful needs and objections stay scattered across customer reviews.
An anonymized table of needs, objections, and supporting evidence.
For: Product Marketer, Customer Marketing Specialist
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AI Newsletter Drafting: Create One Focused, Useful Email
Problem: The newsletter has a lot of information but no clear purpose.
A reviewed email with clear purpose and a relevant next action.
For: Email Marketer, Content Writer
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AI Competitor Research: Build a Source-Checked Messaging Map
Problem: Competitor comparisons rely on outdated claims or assumptions.
A dated competitor-evidence matrix and differentiation questions.
For: Brand Strategist, Product Marketer
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AI Visual Consistency: Create a Reusable Brand Prompt Kit
Problem: AI-generated visuals come out in a different brand style every time.
A visual prompt kit and reviewed concept examples.
For: Designer, Social Media Manager
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AI Lead Magnets: Build a Useful Checklist for One Customer Problem
Problem: A lead magnet gives generic information instead of solving a specific customer problem.
A focused checklist with practical next steps.
For: Growth Marketer, Content Marketer
Get notified when this launchesFocus & delivery boundaries, by academy
IT & Tech
Understanding, debugging, testing, and verifying AI-generated code — not just generating it. In Stack Overflow's 2025 Developer Survey, 66% of respondents found almost-correct AI solutions frustrating, and 45% said debugging AI-generated code was more time-consuming, so this first batch focuses on reliable, everyday engineering tasks.
Scope: IT-014 and IT-015 are starter-template labs, not complete application-development programs — coding/API prerequisites are shown upfront.
Reusable kit: Sample repository, prompt pattern, input fixtures, test cases, and a verification checklist.
HR & Talent
Recruitment administration, candidate information organization, interview consistency, and employee operations. LinkedIn's Future of Recruiting report highlights streamlining repetitive recruiting work, skills-based hiring, and the continued importance of recruiter judgment.
Reusable kit: Synthetic resumes, approved policy samples, editable spreadsheets, interview rubrics, and a human-review checklist.
Marketing
Generic content, inconsistent brand voice, poor repurposing, and unverified reporting. HubSpot's 2026 research highlights challenges with personalized/channel-specific content, brand values, content repurposing, and demonstrating ROI.
Reusable kit: Sample brand brief, approved source material, content templates, a creative test sheet, and a publishing checklist.
Sales & CRM
Prospect research, generic outreach, incomplete CRM records, proposal drafting, and unclear follow-ups. Salesforce's 2026 research names sales administration, prospecting bandwidth, coaching gaps, and data quality as key challenges, with 74% of sales professionals reporting a focus on data cleansing.
Reusable kit: Synthetic prospect data, consented/sample transcripts, approved offer documents, CRM templates, and a pre-send checklist.