AI courses for business
Putting AI into processes: where the payoff is, what to automate, where the risks are.
For managers, marketers, product owners and anyone accountable for outcomes rather than tools. It covers which tasks are worth handing to AI at all, how to work out the economics, how to redesign the process around the tool, and what to do about data, legal and reputational risk.
The courses are applied: instead of overviews you get adoption scenarios, templates and tasks you can put to your own team while you read.
This track is included in the Ultra plan.
Bringing AI into your business
Where AI saves money and how to roll it out.
AI for sales
Leads, scripts, emails and objection handling with AI.
AI for customer support
Auto-replies, knowledge base and ticket triage with AI.
AI for HR and recruiting
Job posts, screening, onboarding and internal comms with AI.
AI for finance and accounting
Expense analysis, reports and planning with AI (not investment advice).
AI for lawyers and contracts
Contract review, drafts and risk spotting with AI (not legal advice).
AI for project management
Plans, statuses, risks and reports for projects with AI.
AI strategy for executives
Where AI creates value, how to adopt and measure company-wide.
AI for startups
Speed, MVPs, marketing and startup ops powered by AI.
AI for e-commerce
Product cards, descriptions, support and ads for stores with AI.
AI for educators
Materials, assignments, grading and personalized learning with AI.
AI in healthcare: an overview
How AI helps in medicine — capabilities and limits (not diagnosis).
AI for real estate
Listings, copy, outreach and market analytics with AI.
Ethics and responsible AI
Bias, transparency, privacy and responsible use.
AI law and regulation
How AI is regulated: copyright, data, risk and compliance.