
Create and train a chatbot agent, configure language and context, manage diverse responses, and export or upload the code for deployment.
Define user intent and build a booking flow in Dialogflow v1 using intents, prompts, actions, and custom entities to collect first name, number of persons, email, and location.
Learn how to get started with firebase functions, install and initialize the tools, deploy simple functions, and connect server logic to a database to place orders.
Explore Dialogflow fulfillment by linking intents to a function, handling request and response objects, and testing deployment from server to agent.
Learn to build a Dialogflow chatbot webhook using firebase functions, create and deploy a fulfillment function, and handle fulfillment requests and responses for a hotel booking agent.
Save fulfillment data to a database via a webhook using firebase and firestore, initializing the admin, and writing documents to a users or orders collection.
Identify requests with action identifiers to differentiate intents, route to appropriate database queries, and return conversational, parameterized responses for booking and show bookings in a Dialogflow-based flow.
Explore how to implement follow-up intents in Dialogflow v1 to handle subsequent user responses, such as confirming or viewing orders, and refine booking flows with yes/no interactions.
Understand how to create and use a custom entity in Dialogflow v1 to capture room types and preferences, such as low cost and luxury rooms, for booking conversations.
Learn to build a chatbot with default greetings, random responses, and a fallback for unknown inputs, then enable one-click integrations across web, Google, Facebook Messenger, and Slack.
Deploy your hotel booking bot on Google Assistant by creating a Google action in the integration section and testing in the simulator. Explore default responses and test reservations via conversations.
Deploy your chatbot on the Facebook Messenger platform by creating a Facebook app for a page, generating a token, and completing submission with privacy, category, and messaging settings.
Deploy a personal assistant chatbot on Slack by following integration steps, creating a team, adding a board, and configuring user and channel settings with interactive components and quick replies.
ATTENTION, this course uses Dialogflow v1, since Dialogflow v2 is released every new Dialogflow agent is set to v2 by default, please don't forget to move your agent to v1 otherwise you may not get the expected results.
ATTENTION, firebase functions are not free anymore, you will have to have a paid plan activated to get free quota
In this course, I will tell you how to make chatbots for a website or mobile apps
I will also tell you how to take advantage of google assistant and google home and how to make conversational apps for these devices using Dialogflow
I will tell you how to take advantage of Docker and Kubernetes to make your chatbot highly scalable.
Course Outline:
phase 1:
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1) Hello World
2) Understanding Intent
3) Custom entity
4) Getting started with firebase functions
5) Understanding fulfillment
6) Using Firebase functions as fulfillment webhook
7) Using database in fulfillment webhook
Phase 2: (Comming Soon...)
""""""""""
1) Account linking (Google assistant)
2) Making User Level Entity for a personalized experience
3) Rich Responses (suggestions chips, list, card, images, etc.)
4) Understanding Context
5)
I will add more...
Join our slack channel to engage with other students of this course:
See Announcement section for Slack channel Invite link
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