Format: 2-day, deep-dive workshop
Tour: Worldwide · public & in-house stops
Bonus: VibeKode conference discount included
Tour Cities 2026
Frankfurt
March 5 – 6, 2026
Amsterdam
April 20 – 21, 2026
London
May 14 – 15, 2026
San Diego
June 4 – 5, 2026
Berlin
June 18 – 19, 2026
Munich
June 22 – 23, 2026
Why This Tour Now?
The AI fundamentals tour keeps teams engaged, skills evolving, and strategy moving — long before VibeKode 2026 opens its doors.
AI Bootcamp for Software Engineering Teams
An intensive, hands-on AI training covering LLM fundamentals, modern AI stacks, and applied system design.
From Prompt Engineering to Agentic Systems
TraditioLearn Vibe Coding, Retrieval-Augmented Generation (RAG), and multi-step agent workflows used in production AI systems.nally quiet months become high-value training periods and revenue drivers.
Build Production-Ready AI Applications
Leave with practical examples, architectural patterns, and a clear roadmap for shipping AI-powered software.
What you’ll build in 2 days
Day 1 · AI Fundamentals & Modern Stack
Understanding how modern AI systems work — beyond prompts.
You will work on:
- How LLMs actually work: tokens, context windows, cost & latency trade-offs
- Prompting patterns for real-world systems (instructions, constraints, structure)
- Reasoning & decomposition patterns (how models “think” through problems)
- Output control: schemas, JSON, validation & consistency
- Embeddings: semantic search, similarity, and clustering use cases
- First hands-on pipelines using modern AI tooling (e.g. Cursor, Claude Code)
Focus:
Build a solid mental model of AI systems so your decisions stop being guesswork.
Day 2 · Vibe Coding & Agentic Development
From single prompts to systems that plan, act, and integrate.
You will work on:
- Designing multi-step workflows instead of single-shot prompts
- Retrieval-Augmented Generation (RAG): chunking, indexing, retrieval strategies
- Structured extraction pipelines (documents → structured data)
- Tool usage & function calling in real applications
- Introduction to MCP-style context & tool orchestration
- Designing simple autonomous agents that plan and execute tasks
- Architectural patterns for agentic systems in production (2026-ready)
Focus:
Move from “AI-assisted coding” to AI-native system design.
Lead Trainer
John Davies
John is a veteran architect and trainer, leading intensive hands-on camps for engineering teams across Europe. He brings decades of experience in enterprise systems, cloud-native architectures and developer education — now focused on helping teams adopt AI and agentic development in a pragmatic, production-ready way.
The tour format blends short keynotes, live coding, and guided lab work in small groups. Expect direct feedback, plenty of Q&A, and concrete patterns you can apply to your stack the next day.
Learning Format & Materials
Hands-On, Code-First Learning
During the Masterclass, you’ll work with a curated collection of code samples, interactive demos, and guided exercises.
The learning path takes you from basic LLM interactions to advanced, production-relevant techniques such as Retrieval-Augmented Generation (RAG), structured data extraction, and tool-driven workflows.
All examples are designed to be reusable and adaptable to your own systems and datasets.
What You’ll Walk Away With
Skills
- Confident understanding of how LLM-based systems work
- Practical prompt, context, and reasoning strategies
- Ability to design RAG and extraction pipelines
- Foundations for building agentic workflows
- Better architectural decisions for AI-integrated systems
Outcomes
- A working set of hands-on examples you can reuse in your own projects
- Clear patterns for moving from prototype to production
- A shared AI vocabulary across your team
- A concrete roadmap toward agentic development
- An exclusive discount code for the VibeKode 2026 conference (Munich)
Who Should Attend?
Built for engineering teams shipping real systems.
- Mid-level to senior software developers
- Tech leads & architects
- Platform & DevOps engineers
- AI/ML engineers moving into applied, production-focused AI
Prerequisites
- Basic proficiency in Python (Python 3.8+ with pip)
- A laptop with at least 8 GB RAM (16 GB recommended for local models)
- Reliable internet connection for cloud APIs and model downloads
Masterclass on Tour — Dates & Tickets
Every ticket includes an exclusive discount code for the VibeKode 2026 conference in Munich.
In‑House & Corporate Masterclass Stops
Bring the Masterclass to your teams — onsite, customised, anywhere in Europe.
- Ideal for 20–80 participants
- Custom agenda aligned to your tech stack
- Co‑branded learning materials
- Includes VibeKode 2026 conference discount
To request availability, please contact@vibekode.it.
Sign up now to get early access to the conference program, exclusive updates, and the ticket launch announcement.
Sign up now to get early access to the conference program, exclusive updates, and the ticket launch announcement.