Training course · Vibe Coding · Energy & Utilities

Vibe Coding for the Energy Sector

Build software in natural language: from prompt to app, rapid iteration, quality and security checks, and turning prototypes into production.

Duration
2 days (14 hrs)
Format
Online or on-site
Language
German or English
Participants
open dates or exclusive for your team
Certificate
Certificate of attendance

Overview

“Vibe Coding for the Energy Sector” is a hands-on course for roles such as Staff at municipal utilities and energy suppliers, Grid operators in planning, connections and operations and Customer service and billing teams. Rather than learning Vibe Coding in the abstract, you work on tasks from your daily routine – with examples, exercises and templates from Energy & Utilities.

Vibe coding lets business users without any programming knowledge build digital tools of their own. You describe in everyday language what a mini app, dashboard or form should do, and tools such as Lovable, Claude, ChatGPT Canvas or Replit generate a working solution. Helpers for your daily work can take shape quickly, without waiting for IT to free up capacity. This course shows you step by step how to make it work, which habits lead to good results, and what really matters along the way.

During the course you build applications drawn from your own work: a KPI overview, a data entry form, a small calculator or an automation for recurring chores. At the same time you learn to assess the risks realistically. Which data may go into such tools, who will run and maintain the solution, and when must IT be involved? With this knowledge you can create useful solutions that are accepted within the organisation and remain secure and sustainable in the long term.

The energy sector is undergoing a deep transformation: distributed generation, grid expansion, sector coupling, new market roles and dense regulation are reshaping municipal utilities, grid operators, suppliers and energy service providers alike. Generative AI helps above all in managing complexity. It summarises regulatory decisions and legislative changes, answers customer enquiries about billing, tariffs or grid connections efficiently, unlocks technical documentation and prepares project documents for permits. AI agents can support market communication processes, pre-sort fault reports or automate reporting. Because critical infrastructure is involved, requirements for IT security, data quality and traceability are especially high.

The course is delivered live – either online in a virtual classroom or on-site in our training rooms in Munich, Salzburg, Berlin, Augsburg, Hanover, Bremen, Stuttgart and Kaiserslautern. We can also run it exclusively for your team.

Who is this course for?

  • Staff at municipal utilities and energy suppliers
  • Grid operators in planning, connections and operations
  • Customer service and billing teams
  • Regulatory affairs and energy trading
  • Renewable energy project developers

Typical challenges we address

  • Dense regulation that changes frequently
  • Growing numbers of customer enquiries on tariffs, bills and grid connections
  • Extensive technical and permitting documentation
  • Skills shortages alongside rising investment volumes

What you will be able to do

  • You build your own mini apps, dashboards and forms through vibe coding without programming skills.
  • You describe requirements clearly enough for AI tools to produce usable solutions.
  • You improve your applications step by step and check the results for accuracy.
  • You automate simple recurring tasks in your working environment.
  • Navigate regulatory requirements and technical documents faster and more reliably with AI.
  • Relieve customer service and grid connection processes through AI-supported pre-checks and draft replies.
  • Assess AI use cases with due regard to IT security and critical infrastructure requirements.

Course outline

Day 1

Module 1 Understanding vibe coding as a business user
  • What vibe coding is and what you can achieve without programming skills
  • Tools at a glance: Lovable, Claude, ChatGPT Canvas, Replit and similar platforms
  • Spotting good candidates for your own tools at work
  • Realistic expectations: strengths, limits and common pitfalls
Module 2 Describing and building your own mini app
  • Capturing goal, users, inputs and desired outcome in plain words
  • Generating a first version and clicking through it together
  • Improving look, wording and flow with targeted feedback
  • Saving milestones and returning to an earlier version when things go wrong
Module 3 Dashboards, forms and calculators
  • Turning Excel or CSV data into an interactive dashboard
  • Building entry forms with required fields and plausibility checks
  • Creating calculators and decision aids for your team
  • Checking results for accuracy with test data and spot checks
Module 4 Automating routine work
  • Identifying recurring tasks that lend themselves to automation
  • Building simple automations for reports, notifications or file storage
  • Discussing connections to existing tools via approved interfaces
  • Documenting automations clearly and handing them over to colleagues

Day 2

Module 5 Risks and coordination with IT
  • Which data may and may not go into AI tools: data protection and confidentiality
  • Managing access rights, sharing settings and public links deliberately
  • Avoiding shadow IT: clarifying operation, maintenance and ownership
  • Preparing a handover to IT when a solution grows or becomes critical
Module 6 Hands-on project: your own solution for Energy & Utilities
  • Grid connection checker – A small web app that captures grid connection application data, checks for mandatory information and generates a list of missing documents for the applicant.
  • Regulatory radar – An internal tool that logs new regulatory decisions and legislative changes with deadlines and affected areas and tracks implementation status clearly.
  • Load profile viewer – A simple app that reads exported load or generation data, displays daily and weekly profiles and flags anomalies. Periods and sites can be compared via a simple selector.
Module 7 Data protection, quality & transfer to daily work
  • As operators of critical infrastructure, utilities and grid operators face heightened IT security requirements, for example under NIS2 and sector-specific security catalogues; grid and asset data must not flow uncontrolled into external AI services. Consumption and metering data is personal data under the GDPR and metering regulations, and unbundling rules must also be observed.
  • Ground rules for safe AI use in your team
  • Checking results: facts, sources, tests and the four-eyes principle
  • Personal action plan for the next 30 days
  • Open questions, outlook and resources for further learning

Practical scenarios from your field

Making regulation understandable

Regulatory decisions, legislative changes and industry guidelines are summarised, their impact on internal processes derived and prepared as task lists for departments – reviewed by regulatory affairs.

Relieving customer service

Enquiries about instalments, annual bills, tariff changes or registering wallboxes and PV systems are classified, draft replies created and missing documents requested specifically. Recurring issues feed into FAQs and self-service content.

Pre-checking connection requests

Incoming applications are checked for completeness, technical details extracted and passed to grid planning in a structured format, with follow-up questions to installers drafted. Processing times shrink noticeably.

Unlocking technical documentation

Operating manuals, maintenance logs and excerpts from standards are made searchable so teams quickly get answers to technical questions, including a reference to the source.

Permitting and project documents

For wind, solar or grid projects, application documents are structured, comments from authorities and the public analysed and project reports prepared for boards. Deadlines and conditions are tracked clearly.

Reporting and market analysis

AI helps write commentary on sales, generation and grid KPIs, summarises market reports and drafts mandatory disclosures and internal reports. Figures always come from verified source systems, never from the AI.

Possible hands-on projects

Grid connection checker

A small web app that captures grid connection application data, checks for mandatory information and generates a list of missing documents for the applicant.

Regulatory radar

An internal tool that logs new regulatory decisions and legislative changes with deadlines and affected areas and tracks implementation status clearly.

Load profile viewer

A simple app that reads exported load or generation data, displays daily and weekly profiles and flags anomalies. Periods and sites can be compared via a simple selector.

Prerequisites

No programming knowledge is required; confident use of a browser, office applications and spreadsheets is enough. Professional experience in an energy sector company; no programming skills required.

Technical requirements

Your own laptop with an up-to-date browser, Git and an AI coding tool of your choice, such as an AI editor or coding agent with an active account.

Data protection & compliance

As operators of critical infrastructure, utilities and grid operators face heightened IT security requirements, for example under NIS2 and sector-specific security catalogues; grid and asset data must not flow uncontrolled into external AI services. Consumption and metering data is personal data under the GDPR and metering regulations, and unbundling rules must also be observed.

Suggested dates

All dates are suggestions – your preferred date is always possible.

  • Wed, 25 November 2026 – Thu, 26 November 2026 Online Request
  • Tue, 8 December 2026 – Wed, 9 December 2026 Salzburg Request
  • Tue, 15 December 2026 – Wed, 16 December 2026 Online Request
  • Thu, 21 January 2027 – Fri, 22 January 2027 Online Request
  • Mon, 1 February 2027 – Tue, 2 February 2027 Augsburg Request
  • Wed, 10 February 2027 – Thu, 11 February 2027 Online Request

Frequently asked questions

Is vibe coding only suitable for quick prototypes?

Vibe coding shines with prototypes, internal tools and experiments. With the right practices, namely clear specifications, tests, reviews and sound version control, results can also be turned into production-ready applications. The course teaches you to manage that transition deliberately and to recognise early on when rebuilding is the wiser option.

Which tools are used in the course?

The course is vendor-neutral. We work with the main tool categories: AI editors such as Cursor or Windsurf, coding agents such as Claude Code or Codex, and browser-based app builders. You are welcome to use your preferred tool, as the principles of specification, iteration, quality and security apply to all of them.

How should I deal with security risks in generated code?

Generated code often contains typical weaknesses such as hard-coded credentials, missing input validation or overly open interfaces. You learn to check specifically for these patterns, build security requirements into the specification from the start, use automated scanning and require a deliberate human sign-off before every deployment.

May a grid operator use cloud AI services?

In principle yes, but only for suitable data and after approval by IT security and data protection. Operational and grid data from critical assets does not belong in external services. In the course we carefully distinguish non-critical use cases such as text work from sensitive areas that require special safeguards.

Can AI reliably interpret regulatory changes?

AI summarises regulatory decisions and legislation well and helps identify affected processes. Binding interpretation, however, remains the job of regulatory affairs or the legal department. The course shows how to back up AI summaries with source references and avoid misinterpretation.

How much does “Vibe Coding for the Energy Sector” cost?

The course costs a flat €949 plus VAT per participant – whether online or on-site. This includes 2 training day(s) with a live trainer, course materials, a lab environment and a certificate of attendance.

Can I suggest my own date?

Yes. Our suggested dates are just a guide. In the request form you can always describe your preferred date or period in free text – we check availability and confirm within one working day.

Is the course online or on-site?

Both are possible: live online in a virtual classroom or on-site in Munich, Salzburg, Berlin, Augsburg, Hanover, Bremen, Stuttgart or Kaiserslautern. We can also run the course exclusively for your team.

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