Learning paths

Three recommended routes through the Academy, based on your role. Each path is a checklist of specific lessons in the order to read them, with honest time estimates — these are short, dense lessons, not hour-long modules. Pick the path that fits, or mix and match.

Business owner path

If you’re a founder, director, or senior leader, you need the strategic picture without the hands-on detail. This path pairs the Foundations course with AI leadership and skips the practitioner material.

Reading time: about 21 minutes across 9 lessons, plus time to work through the getting-started checklist and the one-page strategy exercise.

• What is AI? — what LLMs do well and where they fail (2 min)
• AI for your business — the five-questions framework for finding opportunities (2 min)
• The transformation mindset — why adoption is a people project first (2 min)
• Getting started checklist — concrete first steps and what to track (2 min)
• Building your AI strategy — map, score, and rank your processes into a one-page plan (2 min)
• Team adoption — the adoption ladder and finding champions (3 min)
• Change management — handling resistance and setting a training cadence (3 min)
• Opportunity mapping — expanding from your first win to annual targets (2 min)
• Staying current — what to follow, what to ignore (3 min)

You’ll come away with a clear view of where AI fits in your business and a plan for driving adoption from the top.

Team lead path

If you’re a manager or department head responsible for getting a team working differently, take all four courses in order. This is the comprehensive path: hands-on skills plus the leadership side.

Reading time: about 44 minutes across 19 lessons, plus hands-on time for the prompt engineering exercises and the checklists.

• AI foundations — all 4 lessons (8 min)
• Prompt engineering — all 5 lessons, including the hands-on exercises (12 min reading)
• Workflow mastery — all 5 lessons (11 min)
• AI leadership — all 5 lessons (13 min)

You’ll understand the full picture: writing effective prompts, teaching your team to do the same, redesigning workflows, and keeping momentum through resistance.

Technical path

If you’re an operations manager, process designer, or anyone hands-on with AI tools daily, skip the strategic overview and go straight to the practical skills.

Reading time: about 23 minutes across 10 lessons, plus hands-on time for the five exercises.

• Prompt engineering basics — the prompt-response loop (2 min)
• Writing effective prompts — the four-part structure with worked examples (2 min)
• Advanced techniques — chain-of-thought, few-shot, system prompts, and more (3 min)
• Tools and models — which tool for which task (2 min)
• Exercises — five real business scenarios to practise on (3 min)
• Identifying opportunities — the frequency-complexity matrix (2 min)
• Automation basics — triggers, actions, and data flow (2 min)
• Reading your dashboard — runs, statuses, and logs (2 min)
• Optimizing workflows — iteration, A/B testing, and error handling (2 min)
• Measuring ROI — baselines and the ROI formula (3 min)

You’ll be able to get consistent, high-quality output from AI tools and design, monitor, and improve the automations built around them.

After your path

Whichever path you take, two resources round it out:

• Industry guides — sector-specific workflows for real estate, professional services, ecommerce, and construction (2 min each)
• Glossary — plain-language definitions to keep beside you as you read