Service S.04 · AI Training for Teams · ON-SITE / VIRTUAL
Hands-on corporate training for ChatGPT, Gemini, Claude, Microsoft Copilot, and developer tools like Cursor and Codex CLI. From AI literacy to advanced automation, built around the work your team actually does.
Taught by working engineers · Not a slideshow
The problem · 01
Your team has licenses for ChatGPT, Copilot, and more. Most people type a basic prompt, take the first answer, and move on. The projects, agents, and automation features go untouched.
Training closes that gap. We take the work your team already does (proposals, reports, tickets, code) and turn it into repeatable AI workflows they practice in the session and keep afterward.
The difference between a casual user and a fluent one is not talent. It is a few days of structured, hands-on practice.
What the training covers
Programs · 04 TRACKS
Custom curriculum for teams and enterprises: role-based labs and AI adoption playbooks, delivered on-site or virtual.
AI strategy, governance, and decision-making for leaders and managers, grounded in real examples, not hype.
Hands-on sessions for sales, marketing, operations, and support, built on your team's actual workflows.
Deep dives into AI coding assistants, IDE integrations, and automation workflows for engineering teams.
Equip internal champions with playbooks, prompt libraries, and ongoing office hours to carry adoption forward.
Format A
Immersive, hands-on sessions for teams that learn best together in the same room.
Format B
Live, interactive sessions with screen sharing, exercises, and recorded replays.
Format C
Workshops, async labs, and ongoing coaching blended to drive adoption over time.
Curriculum · chat applications · 04 TOOLS
Comprehensive, current coverage of each platform's real capabilities, not just the chat box.
Projects, Canvas with code execution, Custom GPTs, and persistent memory.
Deep Research, Gems with Drive files, Agent mode, and Workspace integration.
Projects, Artifacts with MCP & persistent storage, Styles, and voice mode.
Agents, MCP connectors, computer use, and deep M365 integration.
Advanced modules · 03
A.01
Build reusable Agent Skills that work across ChatGPT, Copilot, Codex, and Claude Code.
A.02
Connect to hundreds of external services via Model Context Protocol for reliable automations.
A.03
Orchestrate parallel agents, subagents, and background tasks for complex projects.
Curriculum · developer tools · 06 MODULES
Setup, configuration, and the working patterns that separate assisted engineering from autocomplete.
Cursor 2.0 with Composer model, parallel agents, and background tasks.
Agent mode, Coding Agent, Agent Skills, Spaces, and MCP support.
Agent Skills, current Codex models, multi-agent collaboration, and MCP.
Skills, Hooks, Subagents, MCP integrations, and Plugins.
AI extensions for VS Code, JetBrains, Neovim, and more.
Custom training for emerging tools and your specific tech stack.
How it works · 04 STEPS
The workshop is the middle, not the whole. Assessment before, support after, so the skills actually get used.
We evaluate your team's current AI tool usage, identify the gaps, and map your workflows and goals.
Training built for your tech stack, industry, and skill levels. No generic content: everything maps to your real work.
Live workshops where your team practices on real scenarios. Learning by doing, not by watching.
Follow-up sessions, Slack access, and documentation so adoption sticks and skills keep improving.
Why it matters · 04 OUTCOMES
A tool license is a cost. A team that knows how to use it is an advantage.
Outcome 01
Trained teams spend less time on boilerplate and first drafts, and more on the judgment calls that actually need them.
Outcome 02
Proper prompting and tool usage produces more accurate, consistent results, and teaches people to catch the errors that slip through.
Outcome 03
Everyone learns the same practices: shared vocabulary, consistent workflows, and knowledge that transfers between roles.
Outcome 04
Clear rules for data privacy and sensitive information, so the tools get used confidently and safely.
Field notes · TYPICAL ENGAGEMENT
What a typical engagement looks like: before, during, and what we measure after.
Starting point
Training program
Outcomes we track
Deliverables
Prompt library, playbooks, and role-based templates
Adoption plan
Office hours, champions, and KPI tracking
Governance
Security guidelines and compliance checklist
Results vary with team size, tool access, and how consistently the playbooks get used.
FAQ · 06
Get started · 30 MIN
A free 30-minute technical consultation: your goals, your constraints, and a straight answer on whether AI is worth it for your case.
Prefer email? info@euforic.io
No commitment. No deck. Just engineering.