Bootcamp on Tour –
Fuel Your AI & Vibe Coding Excellence

A 2-day intensive workshop tour that gives your team a solid AI foundation, hands-on Vibe Coding practice, and a clear path toward agentic development — before VibeKode 2026 even begins.

AI Bootcamp
at MLcon

A 2-day intensive workshop tour that gives your team a solid AI foundation, hands-on Vibe Coding practice, and a clear path toward agentic development — before VibeKode 2026 even begins.

Format: 2-day, deep-dive workshop
Tour: Worldwide · public & in-house stops
Bonus: VibeKode conference discount included

Tour Cities 2026

Amsterdam

April 20 – 24, 2026

London

May 14 – 15, 2026

San Diego

June 4 – 5, 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

Learn Vibe Coding, Retrieval-Augmented Generation (RAG), and multi-step agent workflows used in production AI systems.

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 [email protected].