Build and Deploy Dialogflow Chatbot Waitress Lilis
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](data:image/svg+xml,%3Csvg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 64 64"%3E%3C/svg%3E){kind=avatar}
- 2.9 Instructor Rating
- 18 Reviews
- 15,875 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.