Hands-on Claude Code training for safe, high-leverage AI development.
Give your whole engineering team one operating model for AI coding. We run a bespoke workshop on your own stack and codebase, delivered onsite, virtual, or offsite, grounded in the methodology we use ourselves in production.
Average productivity increase measured across trained teams after the first three months.
From startups to Fortune 100 companies and DAX 40 enterprises worldwide.
Consistently top-rated by participants for quality and practical value.
Average productivity increase measured across trained teams after the first three months.
*Self-reported productivity gains measured across trained teams.
The end-to-end operating system for teams shipping with AI
Claude Workshop unifies prompting, review, and delivery into one operating model, so your whole engineering team ships faster without losing the quality bar.
Delegate
Hand off repetitive tasks entirely: boilerplate, migrations, tests, docs, logs, and other work with clear acceptance checks.
Review
AI proposes, engineers decide. Use code review, test evidence, and MCP boundaries to keep quality visible.
Own
Core architecture, security decisions, production risk, and business logic stay human-owned.
Your Stack
Custom training tailored to your tech stack. React, TypeScript, Python, Go, Rust, and more.
Training Worldwide
From Denver to Tokyo, we have trained teams across the globe.
AI adoption is splitting engineering orgs.
Quality and velocity drift without a shared operating model.
One group ships AI-generated code with too little review. Another avoids AI entirely. The result is inconsistent code quality, unpredictable throughput, and no shared standard for AI code review, MCP access, or when agentic coding should stay under human control.
Split Adoption
Different teams, different rules. Without team-wide AI coding training, adoption becomes political instead of practical.
Review Risk
AI can draft quickly, but teams struggle with where the human line is. Reviews become rubber-stamps, vetoes, or unowned LLM code review.
No Shared Standard
Without a simple framework, teams cannot measure ROI, enforce safety, or scale best practices across engineers, tools, and repositories.
Run by official Claude ambassadors who ship in production
We are technology executives who do this work every day, not full-time trainers, so the workshop carries the same constraints your team lives with: production standards, team adoption, review quality, governance, and measurable outcomes. As official Claude ambassadors we work alongside the Claude team while applying these tools on real codebases ourselves, so what we teach holds up the day after the session.
Six actions high-performing teams take
Pulled directly from our Claude Workshop methodology. These are the operational moves that turn AI coding tools into durable team velocity.
Write Repo Rules for Agents
Document conventions, testing patterns, MCP boundaries, and project quirks so AI coding tools generate work that matches your codebase.
Plan Before Delegating
Outline intent, owned files, review gates, and proof commands before asking an agent or coding assistant to execute.
Reset When Output Drifts
When AI drifts, discard the attempt and restart with a clearer spec. Stacking corrections creates fragile code and noisy diffs.
Decompose Work Into Reviewable Units
AI performs best on focused, well-defined tasks. Prefer scoped changes that a reviewer can understand over “build the whole feature.”
Use AI Code Review Checklists
Give teams explicit checks: error states, least privilege, no secrets, MCP access, and tests that cover failure cases.
Protect Core Engineering Judgment
Keep human ownership over decomposition, debugging intuition, system design, security posture, and risk trade-offs.
Not just for engineering
AI changes how every team works, not only engineering. We run the same hands-on, repo- and tool-grounded program for product, finance, operations, and design, so the whole organization shares one way of working.
We also meet teams at their stage. Whether you are going from 0 to 1 on your first AI workflows or from 1 to 10 scaling what already works, we build the program bespoke to your goals, constraints, and stack, in our style.
What we offer
Claude Workshop is built for teams with different goals, constraints, and levels of adoption. We tailor scope, format, and depth to your needs.
Onsite
Expert training at your location, online or in-person at your office. We come to you worldwide with a minimum of two trainers and a customized curriculum based on your tech stack and codebase.
Learn moreOffsite Training
5-day intensive bootcamp at stunning Mediterranean locations. World-class training with luxury accommodation in Greece. Offsites are scheduled periodically. Contact us for upcoming dates.
Learn moreVirtual Training
Live remote programs delivered over Zoom with structured presentations, interactive demos, and guided screen-sharing. Designed for distributed teams that want practical enablement without travel overhead.
Learn moreOur Methodology
A structured 7-step approach to AI-assisted development. Learn to plan with AI, build faster with pair programming, and ship with confidence through automated review.
Learn moreBadging
Complete our training programs and receive recognition for your Claude expertise. Our badging program validates your skills and demonstrates your proficiency in AI-assisted development to employers and clients.
Frequently Asked Questions
Your questions answered
What is Claude Code?
Claude Code is the AI coding environment we teach teams to use in real delivery work. The workshop focus is practical adoption: where to delegate, how to review AI-assisted changes, how to set team rules, and how to keep architecture, security, and business logic under human ownership.
How long are the workshops?
Workshops can run as half-day intensives, one-day team sessions, multi-session virtual programs, or deeper multi-day offsites. We choose the length around your team size, codebase complexity, and rollout goals.
Do you offer remote workshops?
Yes. We run live virtual workshops for distributed teams, with demos, guided exercises, screen-sharing, AI code review practice, and follow-up actions the team can use immediately.
What size teams can you train?
We train small teams of 5-10 developers, mixed product-engineering groups, and larger enterprise cohorts of 100+ people. Larger rollouts are split into practical cohorts so the work stays hands-on.
What's included in a workshop?
A workshop typically includes Claude Code workflow setup, repo-aware exercises, AI coding review habits, team rules, agent workflow patterns, governance discussion, and a concrete adoption plan for the next sprint.
What is the typical training format?
We offer onsite programs at your office, live virtual sessions over Zoom, and premium offsite workshops. Formats range from half-day intensives to multi-session programs depending on your team's AI coding goals, code review standards, and rollout plan.
How large should our team be for training?
We work with teams of all sizes, from small startups (5-10 developers) to enterprise engineering organizations (100+ developers). We customize the approach around your team structure, repositories, review process, and adoption risk.
Who leads the AI training?
Rogier Muller
Rogier co-leads the workshops. He is CTO of BlueMonks Group, an Amsterdam-based fintech compliance company, and co-founder of cursorworkshop.com, claudeworkshop.com, codexworkshop.com. He is a lifelong coder who moved early into AI-assisted software development, starting with experiments around GPT-2 in 2019.
He is the only person in the world to combine official ambassador roles across the three leading agentic engineering platforms: Cursor, Claude Code, and Codex.
Vasilis Tsolis
Vasilis co-leads the workshops. He is a pioneer in document intelligence and agentic coding, helping teams change how they work across industries. He is an official Ambassador for Cursor, OpenAI Codex, and n8n.
He is the partner of Cognitiv+, an AI consultancy and software factory that helps organisations practically implement and adopt AI with enterprise confidence: vendor selection, adoption that actually sticks, custom AI systems built and shipped, and the unglamorous follow-through that turns scattered pilots into reliable governed workflows.
What teams and sectors is this AI training for?
We work across functions: engineering, product, marketing, finance, HR, legal, operations, and leadership.
Engineering often has the most immediate leverage because the workshops are hands-on, repo-based, and focused on real engineering work: better delegation to AI, sharper review habits, clearer team standards, and rollout discipline that engineers actually use.
But the same adoption work applies across industries and business teams.
Our background spans legal, financial services, shipping, SaaS, fintech, compliance, KYC/CDD, AML, GDPR, AFM-supervised contexts, auditability, data isolation, construction, energy, tech, and enterprise B2B.
Which teams inside a company should join the AI training?
This is not only for engineering. We train business domains and shared functions inside a company. A business domain might be a product line, client-facing workflow, regulated process, or operational team where people need to combine domain knowledge, documents, systems, decisions, and review.
Shared functions include product, marketing, sales, finance, HR, legal, compliance, operations, customer success, and internal enablement.
For engineering teams, Claude Code helps with understanding codebases, planning changes, writing patches, documenting decisions, reviewing risks, and creating team conventions.
For product and operations teams, Claude helps turn messy workflows into clear process maps, specs, prompts, automations, and reviewable outputs. For marketing, sales, finance, HR, legal, and compliance, the training focuses on practical enterprise AI adoption: document workflows, research, reporting, CRM and content operations, policy review, governance, and reliable human-in-the-loop processes.
What experience level is required?
Our training is designed for developers at all levels. We start with practical AI coding fundamentals, then move into agentic workflows, repo rules, code review habits, and team adoption patterns.
Do you offer ongoing support after training?
Yes. We can provide follow-up sessions, office hours, workflow reviews, and support packages so the team keeps improving its AI-assisted development habits after the workshop.
What makes you different from other training providers?
We are official Claude ambassadors and work from real engineering adoption patterns, not generic prompt tutorials. The training is hands-on, repo-aware, and focused on the habits that make AI coding useful in production.
Ready to start?
Run a practical Claude Code workshop that gives your team shared rules for AI coding, review, and delivery.
Get in touch