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聊天机器人开发

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Overview

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Learning outcomes

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Course content

1

自然语言处理基础

2

机器学习与深度学习

3

对话管理系统

4

语音识别与合成

5

多模态交互技术

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
Ready when you are
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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
Open enrolment · Start today

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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.

4.8
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 '聊天机器人开发' course exceeded my expectations. The curriculum was perfectly aligned with my goal of building a customer‑service chatbot for my startup. I especially appreciated the module on intent classification using BERT, which allowed me to improve the bot’s accuracy from 78% to over 92% during the final project. The provided slide decks and code repositories were up‑to‑date and easy to follow. After completing the hands‑on labs, I deployed a fully functional chatbot on our website and saw a 30% reduction in support tickets. Overall, the instruction was clear, the assignments were relevant, and I feel fully equipped to continue developing AI‑driven conversational agents.

SL
Sophie Laurent
CA · Course completed

I took this course because I wanted to add a chatbot to the e‑commerce site I manage. The lessons were laid out in a very friendly way – think short videos and real‑world examples. I learned how to set up Dialogflow intents, hook them up with a Node.js backend, and even add small‑talk capabilities using pre‑built responses. The cheat‑sheet PDFs were a lifesaver when I was debugging my webhook. By the end, I had a working bot that could handle order tracking queries, which saved our team a lot of time. The only thing I’d improve is a bit more depth on multilingual support, but overall it was a solid, practical learning experience.

FW
Felix Wagner
DE · Course completed

Wow – what an energizing course! I signed up to learn how to create intelligent chat agents for my marketing agency, and the instructors delivered exactly that. The hands‑on projects, especially the one where we built a Facebook Messenger bot that uses sentiment analysis, were thrilling. I now know how to fine‑tune Rasa pipelines and integrate them with REST APIs. The course materials were top‑notch: crisp slides, up‑to‑date GitHub examples, and a vibrant community forum where I got quick feedback. Thanks to this training, I’ve already landed two new clients who want custom bots, and I feel confident delivering them.

RK
Rahul Kapoor
IN · Course completed

The '聊天机器人开发' course provided a comprehensive, step‑by‑step guide that matched my learning objectives perfectly. I started with the basics of natural language understanding and progressed to deploying a production‑grade chatbot on AWS Lambda. The detailed walkthroughs on entity extraction using spaCy and the practical exercises on handling fallback intents were particularly valuable. The supplementary reading list and the meticulously organized code samples helped me grasp complex concepts quickly. After completing the capstone project—a multilingual travel assistant—I was able to present a demo to my company's senior management, which led to approval for a pilot implementation. The overall experience was thorough, well‑structured, and highly rewarding.





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Recently updated!

May 2026