The AI Classroom
Cohorts, workshops and 1:1 mentoring. Every topic below is taught with a real industry example — and comes with a free field guide you can download right now.
no jargon, no slideware — you leave with something working ✏️
AI Foundations for Working Professionals
How LLMs actually work (in plain English, no maths)
Choosing your tool stack: chatbots vs copilots vs agents
Hallucination checks & when NOT to trust the machine
Data privacy rules of thumb for work use
Industry example: an FMCG demand planner turns a 3-hour weekly S&OP summary into a 20-minute review.
All levels · 1-day studio
Prompting Like a Pro
The Role–Context–Task–Format pattern that fixes 80% of bad outputs
Chaining prompts for reports, RCAs and negotiations
Building your personal prompt library (25 starters included)
Self-check prompts that make AI show its assumptions
Industry example: a recruiter screens 200 CVs against a scorecard — with reasons per candidate, not just scores.
Intermediate · 6-week cohort
Build Your First AI Agent
Agent anatomy: brain, tools, memory, loop, guardrails
5 starter builds: inbox triage, daily brief, follow-ups, RFQ, reports
Human-in-the-loop design so v1 can't embarrass you
Shipping to production: logging, fallbacks, kill switches
Industry example: a 40-person ops team shipped 8 agents to production in 6 weeks — one cut procurement from 6 days to 1.5.
Intermediate · 2-day workshop
RAG Bootcamp — Chat With Your Documents
Ingest → embed → retrieve → generate, demystified
Chunking strategies that don't split rules in half
Citations & the "not in my documents" honesty path
A 2-week pilot plan you can run on Monday
Industry example: 214 pages of warehouse SOPs behind a bot — new pickers stop interrupting supervisors.
No-Code Automation Lab
The 30-automation menu, ranked by hours saved per week
Chaining no-code tools + an LLM without writing code
Approval steps, logging and "who owns this bot?"
You ship 3 working automations before you leave
Industry example: a mid-size 3PL removed ~70% of manual procurement paperwork with extraction → validation → approval chains.
AI for Your New Business
Week 1: sell — content, outreach & product copy on autopilot
Week 2: serve — a grounded FAQ bot from your real policies
Week 3: operate — vendors, inventory, SOPs, hiring
Week 4: count — P&L narratives & cash-flow early warnings
Industry example: a two-person D2C brand survives festival-season support volume without a single new hire.