AI Workshop | Coding Agents for Data Professionals
A hands-on workshop for data and analytics professionals who want to use modern coding agents for ETL, reporting and analysis workflows.
This workshop provides a practical introduction to working with coding agents in modern data and analytics projects. It is designed for professionals who already understand data workflows, reporting needs, and business logic, but want to use AI more effectively in technical work. You will learn how to set up a project so an agent can work in it, provide the right context, guide work through planning and review, and evaluate results before anything is implemented or shared further.
- Duration: 5 hours (including breaks)
- Capacity: Up to 15 participants
- Price: 18,000 DKK excl. VAT
Who is this for?
- Data and analytics professionals with some experience in ETL, reporting, BI, or business analysis
- Teams who want to understand what coding agents can realistically do in analytics and data workflows
- Professionals who know the business problem well, but want to work faster without becoming full-time programmers
Technical requirements
- No prior SQL or Python knowledge required
- Familiarity with data workflows, transformation logic, or reporting processes is recommended
- Bring your own laptop
- Optional: Bring your own sample dataset, or use the dataset we provide.
Key Takeaways
You'll leave this workshop with these skills under your belt.
- A practical understanding of what coding agents can and cannot do in professional data work
- Experience creating and guiding an agent through a small ETL and reporting workflow
- A clear understanding of agentic modes such as planning, editing, and code review
- Hands-on familiarity with project structure, project instructions, AGENTS.md, skills, and tool use
- {"Better methods for instructing an agent in structured work"=>"goals, constraints, success criteria, and context"}
- {"A stronger understanding of the human role"=>"designing the right setup, evaluating output, testing, and iterating"}
- Practical safety habits for agentic workflows, including permissions, secrets, human approval, and production caution
Contact person
