This course teaches students how to build advanced chatbots using Dialogflow. By the end of the course, students will be able to create chatbots that can fill slots, validate email addresses, save and retrieve data from real-time and Firestore databases, connect intents using contexts, avoid conversation loops, and trigger external actions like sending emails and Slack messages. The course focuses on practical techniques such as using regex for validation, saving data in databases, and integrating with external services. The intended audience for this course includes developers and chatbot enthusiasts looking to enhance their skills in building sophisticated conversational agents.
Overview
Syllabus
Dialogflow Chatbot - Slot Filling - Getting a User's Contact Data.
Dialogflow Chatbot - Using Contexts to Connect Intents.
Dialogflow Chatbot - How to Validate Email Addresses (Using Regex).
Dialogflow Chatbot - Saving Data in the Realtime Database (Using the Inline Editor).
Dialogflow Chatbot - Read & Write Realtime Database - Calculate Average User Age.
Dialogflow Chatbot - Saving Data in the Firestore Database (Using the Inline Editor).
Dialogflow Chatbot - How to Persist Session Data to Firestore (Saving Pizza Orders in an Array).
Dialogflow Chatbot - How to Name Intents (Hierarchical Naming Convention).
Dialogflow Chatbot - How to Avoid Conversation Loops.
Dialogflow Chatbot – How to Make Your Bot Remember the User’s Name.
Dialogflow Chatbot - How to Send an Email from your Fulfilment via Sendgrid.
Dialogflow Chatbot - How to Trigger a Slack Message via Webhook from your Firebase Function.
Taught by
Peter Fessel
