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 Job Descriptions: Build a Clear Role Scorecard
Problem: The job description is vague, so there's no clear criteria for reviewing candidates.
A clear JD, must-have criteria, and a job-relevant evidence rubric.
For: Recruiter, Hiring Manager
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AI Resume Extraction: Turn CVs into Checked Candidate Data
Problem: Skills and experience have to be manually copied from resumes into a sheet.
A structured candidate sheet with missing information flagged.
For: Recruiter, HR Executive
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AI Resume-to-JD Review: Match Evidence, Not Guesswork
Problem: Actual evidence and assumptions get mixed up when comparing a candidate to the JD.
An evidence table against job criteria — not an automatic rejection.
For: Recruiter, Talent Acquisition Lead
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AI Interview Kits: Ask Consistent, Job-Relevant Questions
Problem: Interviewers ask inconsistent questions, making fair comparison difficult.
Structured interview questions and an evaluation rubric.
For: Recruiter, Hiring Manager
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AI Interview Notes: Summarize Evidence Without Inventing Traits
Problem: Useful points from an interview get lost in scattered notes.
A verified interview summary and clarification questions.
For: Recruiter, Hiring Manager
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AI Interview Scheduling: Draft Clear Coordination Messages
Problem: Drafting scheduling and rescheduling messages for interviews takes repeated effort.
Scheduling, availability, and rescheduling message templates.
For: Recruitment Coordinator, Recruiter
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AI Onboarding Checklists: Give Every Task an Owner
Problem: Tasks, owners, and deadlines get missed during new-hire onboarding.
A role-specific onboarding checklist with responsibilities and deadlines.
For: HR Operations Executive, People Operations Lead
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AI HR FAQs: Answer from Approved Policies with Sources
Problem: Employees keep asking the same policy-related questions.
A source-backed FAQ set and HR escalation rules.
For: HR Executive, HR Systems Administrator
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AI Survey Analysis: Find Themes Without Identifying Employees
Problem: It's hard to manually pull useful themes out of employee survey comments.
Anonymized aggregate themes and improvement questions.
For: HR Business Partner, People Analyst
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AI HR Reports: Explain Metrics You Have Verified
Problem: The numbers and the written explanation in the monthly HR report don't match.
Checked metrics and a factual management summary.
For: HR Analyst, HR Manager
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AI Learning Plans: Map Skills Gaps to Practical Tasks
Problem: Training plans aren't connected to employees' actual role requirements.
A role-based learning plan with practical assignments.
For: Learning & Development Specialist, HR Business Partner
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AI Candidate Updates: Keep Applicants Informed Clearly
Problem: Candidates don't consistently get updates on their recruitment stage.
Approved stage-wise communication templates.
For: Recruiter, HR Executive
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AI Payroll Input Checks: Flag Errors Before Review
Problem: Missing attendance and duplicate entries in payroll inputs get caught too late.
An input exception sheet — not the final salary calculation.
For: Payroll Executive, HR Operations Executive
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HR AI Privacy: Prepare Safe Sample Data for Everyday Work
Problem: Candidate and employee information gets shared into AI tools unnecessarily.
A synthetic/minimized dataset and a data-sharing checklist.
For: HR Manager, HR Systems Administrator
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AI Offer Letter Checks: Verify Every Approved Detail
Problem: Names, designations, or approved terms get mismatched in offer-letter drafts.
An approved-template draft with field-by-field verification.
For: HR Executive, Recruitment Coordinator
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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.