Training course · Claude Code · Real Estate

Claude Code for Real Estate Professionals

Agentic coding with Claude Code in the terminal and IDE: CLAUDE.md, subagents, hooks, MCP, CI pipelines and secure permissions.

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

“Claude Code for Real Estate Professionals” is a hands-on course for roles such as Estate agents and sales teams, Residential and block property managers and Asset and property managers. Rather than learning Claude Code in the abstract, you work on tasks from your daily routine – with examples, exercises and templates from Real Estate.

Claude Code is not only for professional developers. Business users with no programming background can use it to analyse data, clean up Excel and CSV files, generate reports or build small internal tools, all in plain language. You describe what should happen, and Claude Code writes and runs the necessary scripts itself. This course variant shows you how to put these capabilities to work in your daily job without needing to understand code, and how to check the results reliably before anyone relies on them.

You will work through realistic office scenarios: merging exports from several systems, producing analyses with charts, generating documents and mail merges automatically, or turning repetitive file chores into a single command. Working safely is a central theme: which data may be processed, how you stay in control of approvals, and when to involve your IT department. The result is a set of useful helpers that take load off your team while remaining transparent and easy to hand over.

Much of the work in real estate revolves around documents: property listings, leases, service charge statements, minutes of owners' meetings, valuation reports and an endless stream of enquiries from prospects and tenants. Generative AI takes over the routine – drafting listings from key facts, summarising declarations of division and valuation reports, answering standard questions up front and structuring repair requests. AI agents connect the inbox, property database and scheduling into end-to-end workflows. For agents, property managers and asset managers this frees up time for viewings, negotiations and owner relations. What matters is handling tenant and owner data responsibly and having an expert check every legally relevant statement before it goes out.

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?

  • Estate agents and sales teams
  • Residential and block property managers
  • Asset and property managers
  • Developers and housebuilders
  • Staff at housing companies and cooperatives

Typical challenges we address

  • A high volume of recurring enquiries from prospects, tenants and owners
  • Time-consuming drafting of listings, letters and meeting minutes
  • Extensive lease and property documentation that must be grasped quickly
  • Data scattered across property management software, email and spreadsheets

What you will be able to do

  • You commission data analyses and file tasks from Claude Code in plain language.
  • You clean and combine Excel and CSV data and check the results for plausibility.
  • You automate recurring document and reporting tasks with reusable instructions.
  • You have small internal helper tools built and refine them step by step.
  • Produce listings, tenant letters and minutes with AI much faster and at consistent quality.
  • Analyse leases and property documents with AI in a structured way and review the results professionally.
  • Design simple automations for enquiries, repair requests and reporting across your portfolio.

Course outline

Day 1

Module 1 Getting started without coding skills
  • What a coding agent is and what it is allowed to do on your computer
  • Launching Claude Code and setting up a protected working folder
  • Describing tasks in everyday language: goal, input files, expected result
  • Understanding approval prompts and consciously accepting or declining them
Module 2 Analysing data in Excel and CSV files
  • Cleaning exports: duplicates, date formats, missing values
  • Combining several tables and calculating key figures
  • Producing charts and summaries as Excel files or images
  • Sanity-checking results with spot checks and cross-calculations
Module 3 Automating documents and routine tasks
  • Generating reports, minutes and mail merges from templates and data
  • Renaming, sorting and converting files automatically
  • Saving recurring procedures as reusable instructions
  • Writing a simple team guide in CLAUDE.md
Module 4 Building small scripts and internal tools
  • From idea to working helper: stating requirements clearly
  • Having simple input forms or local web interfaces created
  • Improving step by step: describing problems instead of debugging yourself
  • Documenting results so colleagues can use them

Day 2

Module 5 Working safely and responsibly
  • Handling personal and confidential data correctly
  • Limiting permissions and working only in approved folders
  • Recognising limits: when a tool should be handed over to IT
  • Coordinating with IT, data protection and business owners
Module 6 Hands-on project: your own solution for Real Estate
  • Listing generator – A small web app where property data is entered via a form and which produces a draft listing plus short copy for property portals and social media.
  • Repairs tracker – An internal tool that logs repair requests per property, assigns status and contractors and displays open cases clearly sorted by urgency.
  • Service charge sanity check – A script with a simple interface that compares service charge items across years, flags unusual jumps and produces a list of questions for the annual statement.
Module 7 Data protection, quality & transfer to daily work
  • Tenant, owner and prospect data falls under the GDPR, especially tenant self-disclosures and credit documents, and belongs only in approved AI environments. Legally relevant content such as contract clauses, mandatory listing details or resolution wording must be reviewed by a qualified person.
  • 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

Listings from key facts

Floor plans, location details and specification lists become compelling property descriptions in several tones and languages, which the team then reviews and completes with mandatory details such as energy performance data.

Pre-qualifying enquiries

An AI assistant triages incoming enquiries, answers standard questions about the property and documents, asks for missing details such as household size or financing status and proposes suitable viewing slots.

Minutes of owners' meetings

Notes or transcripts are turned into structured minutes with resolution wording, voting results and an action list, which the property manager checks before circulating and adding to the record of resolutions.

Summarising contract documents

Leases, declarations of division and valuation reports are condensed into key points such as terms, indexation clauses, exclusive use rights and maintenance obligations, speeding up due diligence and property handovers.

Structuring repair requests

Free-text tenant reports are classified by trade, urgency and property, enriched with follow-up questions and turned into draft work orders for contractors – including an acknowledgement to the tenant.

Market and owner reports

AI helps draft quarterly reports for owners and investors, summarising vacancies, letting activity and maintenance work from existing data and adding clear commentary on variances.

Possible hands-on projects

Listing generator

A small web app where property data is entered via a form and which produces a draft listing plus short copy for property portals and social media.

Repairs tracker

An internal tool that logs repair requests per property, assigns status and contractors and displays open cases clearly sorted by urgency.

Service charge sanity check

A script with a simple interface that compares service charge items across years, flags unusual jumps and produces a list of questions for the annual statement.

Prerequisites

No programming knowledge is needed; confident use of Excel, files and folders on your own computer is sufficient. Hands-on experience in property marketing, management or asset management; no programming skills required.

Technical requirements

Your own laptop with admin rights, Git, a Node.js runtime and an up-to-date editor; a Claude subscription or Anthropic API access is required for the exercises.

Data protection & compliance

Tenant, owner and prospect data falls under the GDPR, especially tenant self-disclosures and credit documents, and belongs only in approved AI environments. Legally relevant content such as contract clauses, mandatory listing details or resolution wording must be reviewed by a qualified person.

Suggested dates

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

  • Mon, 23 November 2026 – Tue, 24 November 2026 Online Request
  • Tue, 1 December 2026 – Wed, 2 December 2026 Kaiserslautern Request
  • Mon, 7 December 2026 – Tue, 8 December 2026 Online Request
  • Tue, 15 December 2026 – Wed, 16 December 2026 Bremen Request
  • Mon, 11 January 2027 – Tue, 12 January 2027 Online Request
  • Tue, 26 January 2027 – Wed, 27 January 2027 Salzburg Request

Frequently asked questions

How is Claude Code different from traditional code completion?

Code completion suggests the next few lines, whereas Claude Code acts as an agent that handles whole tasks: it searches the repository, plans changes across several files, runs tests and commands, and corrects itself based on the results. You define the goal and review the outcome instead of steering every single line yourself.

Is Claude Code secure enough for enterprise use?

By default, Claude Code asks for approval before editing files or running commands. Permission rules, sandboxing, managed settings and hooks let you define precisely what the agent may do. During the course you learn to configure these mechanisms to match your security and data protection requirements and to assess risks such as prompt injection.

Does Claude Code work with my language and tech stack?

Yes. Claude Code is language-agnostic because it works with files, terminal commands and your existing build and test tooling. Whether you use Python, Java, TypeScript, Go, SAP-related code or infrastructure as code, what matters most is a well-written CLAUDE.md describing your commands and conventions. Each course variant adds the relevant domain focus.

Can I enter tenant data into an AI assistant?

Only in an environment approved by your organisation, backed by a data processing agreement and clear rules. In the course we show how to pseudonymise data, which information never belongs in public tools and how to work with placeholders without losing the benefits of AI.

Will AI replace agents and property managers?

No. AI handles drafting, triage and summaries. Viewings, negotiations, owners' meetings and legal responsibility stay with you. The gain lies in time freed up for client conversations and in faster, more consistent day-to-day processes. Error rates in routine correspondence also tend to fall.

How much does “Claude Code for Real Estate Professionals” 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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