The trainers
Taught by people who've run the businesses you work in
Every trainrs.ai trainer has significant, hands-on business experience — they're entrepreneurs and operators who've built and run real companies, and they use AI every day in their own work. No career presenters, no slide-readers.
Sarah Okafor
Lead Trainer · Operations & Finance
Founded and ran a 40-person logistics business for 12 years before selling in 2023.
Sarah rebuilt her own back office around AI before it was fashionable — invoicing, supplier comms and weekly reporting all run with a human-in-the-loop. She teaches the way she ran her company: no theory without a working example.
James Whitfield
Trainer · Sales
Two-time SaaS founder; scaled his last sales team from 3 to 25 reps.
James uses AI daily for account research, call prep and pipeline reviews — the exact routines he teaches in Weeks 5–6. His sessions are famous for the live "walk into a call prepared in four minutes" demo.
Priya Sharma
Trainer · Marketing & Content
Built a 7-figure e-commerce brand, then a content agency serving 30+ SMEs.
Priya ships campaigns with AI end-to-end — research, drafts, repurposing, reporting — and is allergic to AI-sounding copy. She teaches learners to keep their own voice while tripling their output.
Marcus Bell
Trainer · HR & People
15 years leading people teams in scale-ups; co-founded an HR consultancy.
Marcus brings the people-side: adoption, change and the worry in the room. He ran AI rollouts across three companies and teaches the safe-habits material — what to connect, what never to share, and how to take a team with you.
Elena Rodriguez
Trainer · General & Leadership
Former MD of a 120-person professional services firm; angel investor in B2B tools.
Elena teaches the leadership lens: where AI genuinely moves a P&L, how to spot the high-value tasks, and how to brief AI like you’d brief a good chief of staff. Direct, practical, zero jargon.
Tom Adeyemi
Trainer · Automation & Capstones
Bootstrapped two service businesses; automated himself out of the day-to-day of both.
Tom is the capstone whisperer — he’s built hundreds of small automations and personal AI systems, and his job in Weeks 7–8 is making sure every learner leaves with one that actually runs on Monday morning.
Sample profiles shown while we finalise the full trainer roster.
Start saving a day a week.
An 8-week live course — two live sessions a week (a 3-hour class and a 1-hour wrap-up) plus coursework on your own real work — that sets you up with a personal AI assistant doing real work for you.