Udemy

Create a Python Powered Chatbot in Under 60 Minutes

立即報名
  • 1,695 名學生
  • 更新於 4/2023
4.4
(501 個評分)
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課程資料

報名日期
全年招生
課程級別
學習模式
修業期
1 小時 33 分鐘
教學語言
英語
授課導師
Jason Kries
評分
4.4
(501 個評分)
12次瀏覽

課程簡介

Create a Python Powered Chatbot in Under 60 Minutes

No previous Python experience necessary!

This course is designed to be accessible to brand new Python programmers but also worthwhile for more experienced Pythonistas who want to get started with AI and Natural Language processing.


You do not any previous experience with Python or programming to be successful in this course.

You can use a Windows or Mac computer to complete the course (or Linux for that matter).


This course will cover the following:

  • Setting up your development environment

  • Downloading and installing Python

  • Downloading and installing a free IDE to work with our code

  • Installing the ChatBot package

  • Customizing and training your ChatBot

  • Sharing your ChatBot with the world

課程章節

  • 8 個章節
  • 32 堂課
  • 第 1 章 Introduction
  • 第 2 章 Setting Up Your Development Environment
  • 第 3 章 Install Chatbot Python Packages
  • 第 4 章 Programming Your ChatBot
  • 第 5 章 Adding Personality to your Bot
  • 第 6 章 Sharing Your Bot With the World
  • 第 7 章 Congratulations!
  • 第 8 章 BONUS: Beyond 60 Minutes: Making Your Bot Even Better

課程內容

  • Running a web server using Python and Flask, Create a smart, highly interactive Chatbot, Publish a Chat Bot to the web for free!, Installing Python, Installing packages from Github, Running Python code


評價

  • O
    Olayiwola David Olatayo
    5.0

    It is simple and straight to the point!

  • S
    Soham Bhattacharya
    1.0

    Voice is not clear

  • M
    Manoj Padmanabha
    3.0

    It's more of showing how the bot works and how to train it but the course title says build a chatbot. Didn't get to learn how to build one.

  • Y
    Yourg
    5.0

    The course is well-structured and comprehensive. It provides solid foundations for creating a chatbot using Python programs that Jason has carefully prepared. It makes me want to learn more Python to better understand the subtleties :) Great job!

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