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 Prospect Research: Build a Source-Checked Account Brief
Problem: Prospect research is scattered across tabs and important facts get missed.
Dated business facts, relevant questions, and research gaps.
For: Sales Development Representative, Account Executive
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AI Sales Emails: Personalize Without Inventing Familiarity
Problem: Sales emails are generic and disconnected from the prospect's actual context.
A reviewed first-contact email based on verified context.
For: Sales Executive, Business Development Representative
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AI Follow-Up Sequences: Stay Relevant and Know When to Stop
Problem: Follow-ups get sent randomly, with no clear stop rules.
A reviewed sequence with reply, opt-out, and stop conditions.
For: Sales Representative, Business Development Executive
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AI Discovery Questions: Understand the Need Before the Pitch
Problem: A discovery call is heavy on the pitch, light on understanding the customer's need.
A discovery agenda and role-play-tested questions.
For: Account Executive, Sales Consultant
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AI Sales Call Notes: Turn Conversations into Checked CRM Updates
Problem: CRM notes stay incomplete after a call, or never get updated at all.
A reviewed summary and next actions from a consented transcript.
For: Sales Executive, Account Manager
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AI Sales Proposals: Draft from Approved Scope and Terms
Problem: Every client proposal has to be built from scratch.
A scope-linked proposal draft with commercial checks.
For: Account Executive, Presales Consultant
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AI Stale-Deal Reviews: Identify the Missing Next Step
Problem: Deals sit in the pipeline with no clear next action or missing information.
An evidence-backed deal review and follow-up checklist.
For: Sales Manager, Account Executive
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AI CRM Cleanup: Review Duplicates Before Merging
Problem: Duplicate contact and company records make CRM reports unreliable.
A duplicate-candidate sheet with human merge approval.
For: CRM Administrator, Sales Operations Executive
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AI Objection Practice: Rehearse One Difficult Sales Conversation
Problem: Salespeople only practice objection handling live, on an actual customer call.
A role-play transcript with accuracy/listening feedback.
For: Sales Executive, Sales Trainer
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AI Demo Talk Tracks: Connect One Use Case to Verified Features
Problem: The product demo shows the same features to every prospect.
A use-case-specific demo plan with capability boundaries.
For: Solution Consultant, Account Executive
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AI Lead Routing: Send the Right Inquiry to the Right Owner
Problem: Inbound inquiries get assigned to the wrong owner or sit unattended.
Explicit routing rules and sample exception tests.
For: Sales Operations Executive, CRM Administrator
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AI Sales Reports: Explain Pipeline Numbers You Can Verify
Problem: The weekly sales report's numbers don't match the management narrative.
Checked pipeline metrics and a factual weekly summary.
For: Sales Manager, Sales Analyst
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AI Renewal Briefs: Prepare from Real Account Evidence
Problem: Account history and unresolved issues have to be gathered manually before a renewal discussion.
Verified account history and a renewal discussion brief.
For: Account Manager, Customer Success Manager
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AI Quote Checks: Verify Price Math Before Sending
Problem: Discount, quantity, or approved pricing get applied incorrectly on a quote.
An approved-rate calculation sheet and discrepancy flags.
For: Sales Operations Executive, Account Executive
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AI Mutual Action Plans: Give Every Sales Next Step an Owner
Problem: Agreed next steps, owners, and dates between buyer and seller don't get tracked.
A buyer-confirmed action-plan draft with responsibilities.
For: Account Executive, Sales Manager
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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.