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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 Chatbots

2

Dialogdesign

3

Nlp-Integration

4

Testing Und Optimierung

5

Deployment Und Monitoring

Career Path

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Key facts

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Why this course

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People also ask

Everything you need to know before you start

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

  • The course starts as soon as you pay the course fee, instantly
  • No waiting periods or fixed start dates
  • Instant access to all course materials upon payment
  • Flexibility to begin at your convenience

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 States
MC
Michael Carter
US · Course completed

The Chatbot-Entwicklung course at Stanmore School of Business exceeded my expectations. It gave me a clear roadmap to reach my goal of building conversational agents for customer service. The modules on natural‑language processing and dialog management were especially helpful—I was able to implement intent recognition using Rasa in just a few days. The video lectures were crisp, and the downloadable code snippets were perfectly aligned with the exercises. Overall, the learning experience was smooth and professional, and I feel fully prepared to launch my own chatbot project.

LS
Lucas Silva
BR · Course completed

Adorei o curso de Chatbot-Entwicklung da Stanmore! Eu queria aprender a criar bots pra automação de marketing e, graças às aulas práticas, já consegui montar um chatbot no Telegram que responde perguntas sobre nossos produtos. Os tutoriais passo‑a‑passo foram bem fáceis de seguir e os exemplos reais deixaram tudo mais claro. O material didático está bem atualizado e a comunidade de alunos ajuda bastante. Saí do curso satisfeito e pronto para aplicar o que aprendi no meu trabalho.

FW
Felix Wagner
DE · Course completed

Wow! This Chatbot-Entwicklung course was exactly what I needed to turn my ideas into reality. I loved the energetic teaching style and the way the instructor broke down complex topics like machine‑learning based intent classification into bite‑size lessons. I built a prototype chatbot for my startup that can handle booking appointments in German and English—thanks to the hands‑on labs and the high‑quality slide decks. The course materials are up‑to‑date and the real‑world case studies kept me motivated. Absolutely thrilled with the results!

HT
Haruki Tanaka
JP · Course completed

The Chatbot-Entwicklung program offered a thorough and detailed exploration of conversational AI. My objective was to master the integration of chatbots with existing CRM systems, and the course delivered precise, step‑by‑step tutorials on using APIs and webhook configurations. I particularly appreciated the in‑depth coverage of dialog flow optimization, which allowed me to reduce response latency by 30 % in my pilot project. The lecture notes, source code repositories, and supplemental readings were all meticulously organized, making it easy to reference later. Overall, it was a solid learning experience that equipped me with practical skills for my role.





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Recently updated!

May 2026