Question 1

What is the typical training format?

Accepted Answer

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.

Question 2

How large should our team be for training?

Accepted Answer

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.

Question 3

Who leads the AI training?

Accepted Answer

The workshops are led by Vasilis Tsolis and Rogier Muller. Vasilis 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. Rogier 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.

Question 4

What teams and sectors is this AI training for?

Accepted Answer

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.

Question 5

Which teams inside a company should join the AI training?

Accepted Answer

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, compliance process, or operational team where domain experts and technical people need to improve how work gets done. Shared functions include product, marketing, sales, finance, HR, legal, compliance, operations, customer success, and internal enablement. For engineering teams, Cursor helps with repo-based work: scoping changes, writing code, improving tests, reviewing diffs, and setting team standards. For product and operations teams, Cursor helps turn process knowledge into prototypes, internal tools, workflow specs, and better handoffs to engineering. For marketing, sales, finance, HR, legal, and compliance, the training focuses on practical AI adoption: campaign workflows, reporting, document review, policy checks, data cleanup, automation ideas, and governed ways of working with AI without creating risk.

Question 6

What experience level is required?

Accepted Answer

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.

Question 7

Do you offer ongoing support after training?

Accepted Answer

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.

Question 8

What makes you different from other training providers?

Accepted Answer

We are official Cursor 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.

Cursor Training

Onsite

Virtual

Offsite

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