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Chatbot‑entwicklung

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Overview

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Learning outcomes

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Course content

1

Einführung In Die Chatbot‑Entwicklung

2

Dialogdesign Und Gesprächsfluss

3

Nlp‑Grundlagen Für Chatbots

4

Integrations‑ Und Deployment‑Strategien

5

Evaluation Und Optimierung

Career Path

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Key facts

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Why this course

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We offer immediate access to our course materials through our open enrollment system. This means:

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This self-paced approach allows you to begin your professional development journey immediately, fitting your learning around your existing commitments.

We offer two flexible learning paths to suit your schedule:

  • Fast Track: Complete in 1 month with 3-4 hours of study per week
  • Standard Mode: Complete in 2 months with 2-3 hours of study per week

You can progress at your own pace and access the materials 24/7.

There are no formal entry requirements for this course. You just need:

  • A good command of English language
  • Access to a computer/laptop with internet
  • Basic computer skills
  • Dedication to complete the course
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Assessment is done through:

  • Multiple-choice questions at the end of each unit
  • You need to score at least 60% to pass each unit
  • You can retake quizzes if needed
  • All assessments are online

Upon successful completion, you will receive:

  • A digital certificate from London School of Business and Administration
  • Option to request a physical certificate
  • Transcript of completed units
  • Certification is included in the course fee
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Why people choose us for their career

Trusted by professionals worldwide

Verified outcomes from learners who finished the course and put it to work.

4.5
Based on 4 learner reviews · 4 countries
98%
Would recommend
100%
Verified learners
2026
Cohort active
Completed from United Kingdom
ST
Sarah Thompson
GB · Course completed

I loved the casual vibe of the Chatbot‑entwicklung course – it felt like a friendly workshop rather than a dry lecture. The practical labs let me build a simple FAQ bot using Rasa, and the instructor’s tips on tweaking intents really helped me hit my goal of automating our website’s help desk. The course material was spot on: clear PDFs, short video demos, and a community forum where I could ask questions. I especially appreciated the real‑world project where we integrated the bot with Slack – I’ve already shown it off to my teammates. All in all, a solid, enjoyable experience that gave me useful skills I can put to work right away.

MC
Michael Carter
US · Course completed

The Chatbot‑entwicklung course at Stanmore School of Business delivered exactly what I needed to meet my learning goals. The modules on natural‑language processing and API integration gave me hands‑on experience building a customer‑service bot with Dialogflow and Python. I was especially impressed by the step‑by‑step case study that walked us through designing conversation flows for a retail scenario – I could immediately apply that to my current project at work. The lecture videos, slide decks, and downloadable code snippets were up‑to‑date and clearly organized, making it easy to reference later. Overall, the learning experience was smooth, professional, and highly relevant; I feel confident deploying a production‑ready chatbot for my company.

AP
Ananya Patel
IN · Course completed

What an enthusiastic learning journey! The Chatbot‑entwicklung program blew me away with its energetic teaching style and rich content. I learned to craft conversational AI from scratch, mastering intent recognition, entity extraction, and webhook integration. A standout moment was the live coding session where we built a multilingual chatbot for a travel agency – I now have a working prototype that can handle English and Hindi queries. The course resources – especially the interactive notebooks and up‑to‑date API documentation – were top‑notch. I finished the course feeling fully equipped and super excited to launch my own chatbot startup.

ZD
Zanele Dlamini
ZA · Course completed

The detailed approach of the Chatbot‑entwicklung course suited my need for depth. Each module broke down complex topics such as dialogue management and machine‑learning based intent classification into digestible sections. I particularly benefited from the hands‑on labs that guided me through deploying a Rasa bot on Azure, which directly aligned with my goal of automating client onboarding at my firm. The provided reading list, slide decks, and sample code were meticulously curated and kept current with industry standards. The overall learning experience was rigorous yet supportive, and I now possess a robust skill set to develop and maintain enterprise‑grade chatbots.





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Recently updated!

May 2026