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IT & Software Other IT & Software Dialogflow

Build and Deploy Dialogflow Chatbot Waitress Lilis

Step-by-step Guide to Create Conversational Assistant with Dialogflow
Rating: 3.3 out of 53.3 (10 ratings)
11,830 students
Created by Alina Zhang
Last updated 8/2020
English
English [Auto]
30-Day Money-Back Guarantee

What you'll learn

  • You will have hands-on project based experience of creating chatbot with Dialogflow.
  • You will learn how to turn on voice and deploy your chatbot to Google Assistant.
  • You will learn how to code fulfillment webhook with Javascript for complicate intents.

Requirements

  • Basic knowledge about Dialogflow.

Description

This course provides a step-by-step guild to create a chatbot waitress Lilis who works at a coffee shop using Dialogflow.

You will learn how to

  • design the architecture of a chatbot

  • the 7 Minimum-Viable-Product Features of a chatbot waiter

  • modify Default Welcome and Fallback Intents for chatbot's purpose

  • code fulfillment and webhook with javascript to handle intents for taking customer orders

  • code fulfillment webhook for product availability check

  • code follow-up intents to handle user responses: yes, no, or change

  • add a dictionary to provide shopping cart details

  • complete the order and avoid conversation loop

  • turn on voice and deploy chatbot to Google Assistant


Who this course is for:

  • Who are interested in building chatbot/conversational assistant.

Course content

10 sections • 10 lectures • 1h 27m total length

  • Preview01:58

  • The Architecture and 7 Minimum-Viable-Product Features of a Chatbot Waiter
    08:18

  • Preview21:12

  • Preview21:12

  • Code Fulfillment Webhook for Product Availability Check
    06:39

  • Preview03:17

  • Code Follow-up Intents to Handle User Responses: Yes, No, or Change
    11:49

  • Preview04:24

  • Complete the Order and Avoid Conversation Loop
    02:50

  • Preview05:43

Instructor

Alina Zhang
Data Scientist - Serving humanity with AI
Alina Zhang
  • 3.3 Instructor Rating
  • 10 Reviews
  • 11,830 Students
  • 1 Course

• Anomaly detection on financial datasets with unsupervised learning solutions.

• Proficiency in building and training Deep Learning Neural Network (Autoencoder, CNN, RNN, LSTM) with TensorFlow on terabyte-scale datasets.

• Practical experience with Predictive Analytics using statistical techniques and machine learning algorithms including Random Forests, ARIMA, Boosting, K-means Clustering, and so on.

• Industrial experience with NLP sentiment analysis, multi-label classification, text generation, etc.

• Google Cloud Certified Professional Data Engineer that provides Cloud AI solutions for startups to design and build a batch/streaming ETL pipeline with BigQuery, Dataflow, Bigtable, Dataprep, Cloud Machine Learning Engine.

• 7+ years of experience in the full software development lifecycle – from concept through delivery of next-generation applications and customizable solutions.

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