AI for IT Teams — Fundamentals

A full-day practical training for IT professionals who want to use AI in daily work.

• Length: 1 day (8 hours)
• Price: from 18 000 CZK / participant (ex-VAT) — always quoted individually per group
• Format: on-site, custom-built for your team, on demand
• Max participants: 15
• Who it's for: developers, analysts, testers, architects, PMs — anyone in IT who is starting with AI or using it unsystematically
• Prerequisites: none specific — willingness to learn and basic IT experience

• Use AI assistants systematically (GitHub Copilot, Claude, Cursor) in daily work — not just for simple questions
• Write prompts that work — understand why context decides more than wording, and how to get relevant output from AI
• Tell where AI helps and where it hurts — a realistic view without hype, based on enterprise experience
• Work with AI across the whole development cycle — from planning through implementation, code review and debugging

• How AI tools actually work — tokens, context, limits
• The AI assistance gradient: from inline suggestions to autonomous agents
• What works in large companies (anonymized enterprise examples)
• Reality check: what AI can do, what it can't, and what it does badly

• Pair work on prepared exercises
• Copilot Chat: Ask mode, adding context, working across multiple files
• Agent mode: creating and editing files, planning tasks
• Copilot Rules and customizing AI behavior for your team
• Inline suggestions and working with whole-workspace context

• Analyzing requirements from notes and conversations
• Generating an epic and decomposing into user stories
• Decision points: where you must think, not AI
• Identifying contradictions and conflicts in requirements

• Tests as context — why write the spec before the code
• AI-powered code review: a complement to human review
• Debugging with AI: root cause analysis from logs and error messages
• Generating diagrams, API specs, documentation

• 5 things to take with you
• Concrete next steps for your team
• Q&A and discussion

• 80% practice, 20% theory. Participants spend most of the time actively working with AI tools on prepared exercises.
• Real-world exercises. No toy examples — materials simulate real situations (chaotic meeting notes, conflicting requirements, incomplete specifications).
• Decision points. Every exercise has a moment where AI produces a draft and the participant has to evaluate, edit, and complete it. No "copy the prompt, get the output."
• Small groups. Max 15 participants, pair work, continuous trainer support.

• Not an AI lecture. We won't explain what ChatGPT is.
• Not a vibe-coding show. We don't demo flashy tricks — we teach systematic work.
• Not a vendor pitch. We work with tools that fit your stack, not whatever is currently sponsored.

1. Before the training we go through your stack, tools, roles and processes.
2. Exercises are adapted so they reflect what your team actually does.
3. Materials and handouts are prepared specifically for you — not generic.