Understand
Know what a tool is designed to do—and where its limits matter.
DAGZER / AI TRAINING
Practical learning for beginners, students, business owners, and teams—shaped around the audience, the work, and the right level of experience.
Learning that stays grounded
Explore useful applications alongside accuracy checks, information boundaries, and the human judgment AI cannot replace.
Discuss a sessionChoose a learning path
Duration, tools, prerequisites, and delivery details are shown where confirmed or discussed during scoping.
Move from agent concepts to a working learning exercise: define a focused task, configure an agent, test its behavior, and understand its limits.
Duration: to be confirmed
Custom quote
View trainingA practical introduction to designing no-code automations around real tasks—with clear triggers, rules, testing, and ownership.
Duration: to be confirmed
Custom quote
View trainingA team-specific learning engagement shaped around your audience, roles, existing AI guidance, and the tasks employees actually do.
Duration: to be confirmed
Custom quote
View trainingBuild a clear starting point for understanding what AI can do, where it can go wrong, and how to approach it thoughtfully.
1 hour
Starting at $10 per seat
View trainingStep back from the hype and consider where AI may fit your business, what needs to be true, and which questions deserve attention first.
2 hours
Starting at $50 per seat
View trainingA productivity-focused workshop that uses relevant team tasks to explore helpful AI habits, safe boundaries, and shared ways of working.
Duration: to be confirmed
Custom quote
View trainingChoose a department focus and learn how to evaluate relevant AI-assisted tasks, practice suitable workflows, and recognize role-specific risks.
Duration: to be confirmed
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View trainingBuild confidence through beginner-friendly explanations and guided activities that help learners question, test, and reflect on AI outputs.
Duration: to be confirmed
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View trainingA responsible learning approach
Strong AI literacy combines understanding, practical application, and thoughtful evaluation. Learning should fit the people, tools, and risks in the room.
Know what a tool is designed to do—and where its limits matter.
Practice a relevant task using approved tools and suitable examples.
Check output, protect information, and keep people accountable.