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IT & SoftwareOther IT & SoftwareDialogflow

Build and Deploy Dialogflow Chatbot Waitress Lilis

Step-by-step Guide to Create Conversational Assistant with Dialogflow
Rating: 3.0 out of 53.0 (14 ratings)
13,992 students
Created by Alina Zhang
Last updated 8/2020
English
English [Auto]

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.

Instructor

Alina Zhang
Senior Data Scientist - Serving humanity with AI
Alina Zhang
  • 2.8 Instructor Rating
  • 16 Reviews
  • 14,966 Students
  • 2 Courses

- Rasa and Dialogflow chatbots development with natural language processing and dialogue management techniques.

- Anomaly detection and time series forecasting on large financial datasets with machine learning and statistical solutions including Random Forest, Isolation Forest, Autoencoder, and K-means Clustering.

- Rasa certified advanced chatbot developer with industrial experience in NLP tasks such as entity recognition, text classification, semantic search, text summarization, and reading comprehension.

- Google Cloud certified professional data engineer that provides solutions 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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