Duration
2–8 hours per session
Learning Paths & Workshops
Hands-on sessions for technical and non-technical audiences, with real work examples, guided exercises, and reusable materials — the goal is leaving the session using AI on concrete tasks.
Service at a glance
Audience
Technical and non-technical teams, leaders, and business units
Outcome
People using AI on real tasks with reusable materials
Format
Workshop / path
Who it's for
- Technical and non-technical teams, leaders, and business units.
- HR and L&D teams that need paths by role, department, and maturity level.
- Teams already improvising with AI who need method and criteria.
What's included
- In-person and remote workshops
- Tracks by role, department, and maturity level
- Content on prompting, tools, and workflows
- Exercises based on real team scenarios
- Post-session reference materials
How it works
- Assessment of the audience's skill level and the team's real tasks.
- Path or session design by role, department, and maturity level.
- In-person or remote workshop with exercises on real scenarios.
- Reference materials for consultation after the session.
What you get
- In-person or remote workshops with practical exercises
- Learning paths by audience and maturity level
- Content on prompting, tools, and workflows
- Reusable materials for post-training reference
Frequently asked questions
Does generative AI training work for non-technical teams?
It works when the language is simple and the focus stays on work people already do: writing, summarizing, researching, analyzing, planning, supporting customers, preparing meetings, and automating repetitive steps.
How long is a workshop?
Sessions run 2 to 8 hours, in person or remote, and can be combined into learning paths depending on audience, area, and maturity level.
Contact
To talk about this service, write to oi@dorly.com.br.
Other services
AI Adoption Strategy
Assessment, use-case selection, and program design to move AI from slides into team routines — with change management, metrics, and a follow-up rhythm to course-correct.
AI Prototypes & Demos
MVPs, automations, and demos to test an idea's value before scaling — using tools like ChatGPT, OpenAI API, n8n, TypeScript, and AWS to prove what works with a tight scope.
Enablement Assets
Playbooks, guides, prompt templates, rubrics, and knowledge bases built from your company's real context, so teams keep using AI autonomously after the workshop.
Metrics & Continuous Improvement
Metrics for usage, confidence, quality, and time savings to know whether AI adoption is working — plus a follow-up rhythm to update content and course-correct.