No Code Conversational Chatbots Using Dialogflow Cx

Why Dialogflow CX is the best alternative to ChatGPT (LLM) for stateful chatbots

What you’ll learn
How to build “stateful” chatbots using Dialogflow CX
How Dialogflow CX is better than LLM (GPT) bots
When LLM (GPT) bots are better than Dialogflow CX
When to use Dialogflow CX
Why it is not a good idea to use generative AI inside stateful chatbots

Requirements
Basic technical skills – e.g. ability to work with an Excel spreadsheet

Description
This course, which was originally intended for my website audience, evolved over time from the date Dialogflow CX was first released (second half of 2021) and updated over the next two years. I stopped updating the course once ChatGPT started dominating the chatbot landscape (please watch the Introduction chapter to see why).PLEASE NOTE1 Many lessons are based on questions and feedback from course students, and you will see that some of the chapters are (unfortunately) a little redundant – for example the free Heroku tier is no longer available. 2 You should be able to follow the whole course just by watching the videos. The downloadable resources like agent ZIP files are not always available in the lesson, but that should not affect your learning. Similarly, some of the videos are based on articles from my old website which are now expired, but again you should be able to follow that material just by watching the full video.3 There are a couple of chapters which are quite code heavy. If you are not a programmer, you should be able to skip those chapters and still understand the rest of the material quite easily. Most of the chapters are self contained, although you MUST first go through the Beginner tutorial (which explains the concept of the state machine) as a prerequisite for the rest of the material. Testimonials from my website audience (note: all of these were provided between 2021 to 2023)”It is very hard find a complete course about DialogFlow CX””Actually is very hard find a complete course about DialogFlow CX, so I did not find any obstacle to buy this course. I managed to implement a chatbot for a website by creating my own webhook in PHP.What I liked the most about this course was the clear way in which how to create a webhook was explained.1. You can possibility learn how to implement custom integration using anymore framework.2. You can understand the difference between dialogflow ES and dialogflow CX.3. You can observe and prevent some bugs that the application has.I recommend this course because actually is very hard find a complete course about this technology and Aravind simplify the way to explain this topic.”Adonis T”The course breaks things down into “bite-sized morsels” without using lingo that leaves many behind””There are precious few courses and tutorials for Dialogflow CX given its recent release. For that reason, I wondered if I should wait until the product matured some more before looking for a course. I bought the course after watching a few of the previews of this and other courses. I like Aravind’s approach to teaching. He breaks things down into “bite-sized morsels” without using lingo that leaves many behind. I like the discussion on state machines. I was distantly familiar with the term but Aravind brought it up close.Other benefits of the course:an understanding of the terminology used in Dialogflow, an understanding of entities and parameters, an overall view of the process of building a bot in CXI would recommend this course to anyone that has a need to learn the process of creating a bot, either for cost savings or for extending your existing call center functionality.”Paul R”it was one of the most up-to-date materials on Dialogflow””Watching the free videos on the differences between Dialogflow ES and CX was enough for me to make the decision and move forward with the purchase. The videos actually helped me decide which course to take. I found that Dialogflow is a very powerful tool, which should help me with my project quite a bit.(I liked) The short classes and ease to navigate across classes.(Other benefits of the course) Good content, good didactics and fast pace of learning.I’d recommend this course, because it was one of the most up-to-date materials on Dialogflow. I started by purchasing a course from Udemy, but I was very frustrated that it never even mentioned the existence of Dialogflow CX and all of the materials were based on Dialogflow webpages and references that no longer exist.”Daniel B”Just the difference between parameters in CX and the pitfalls of contexts and slot filling in ES was golden.””I have learned so much from this website and the CX course. I find these courses much more informative than the official documentation. Just the difference between parameters in CX and the pitfalls of contexts and slot filling in ES was golden.”Shahrukh S

Overview
Section 1: Introduction

Lecture 1 Why I created this course

Lecture 2 How Dialogflow CX is better than LLM bots

Lecture 3 How LLM bots are better than Dialogflow CX

Lecture 4 When to use Dialogflow CX

Lecture 5 Integrating ChatGPT with Dialogflow CX

Section 2: Dialogflow CX Beginner Tutorial

Lecture 6 What is a state machine?

Lecture 7 What we are building

Lecture 8 Initial Demo

Lecture 9 Terminology

Lecture 10 Initial View

Lecture 11 User asks for balance

Lecture 12 Testing it in the simulator

Lecture 13 No state transition

Lecture 14 Add state transition

Lecture 15 Ask for balance after transition

Lecture 16 Assignment 1

Lecture 17 Assignment 2

Lecture 18 Assignment 3

Lecture 19 Assignment Hints

Section 3: CX vs ES: Get user first and last names

Lecture 20 Can you build this bot in Dialogflow ES?

Lecture 21 Flowchart for the ES Bot

Lecture 22 Defining the intents

Lecture 23 ES Bot Demo

Lecture 24 Extending the name system entity

Lecture 25 A note about entity annotation

Lecture 26 Building the bot in Dialogflow CX

Lecture 27 Testing the bot in the simulator

Lecture 28 Pros and Cons of Dialogflow CX for this bot

Lecture 29 Understanding scope in Dialogflow CX Part 1

Lecture 30 Understanding scope in Dialogflow CX Part 2

Section 4: Flowcharts and test cases

Lecture 31 Why ES First

Lecture 32 Decision Tree Flowchart

Lecture 33 Initial Flow

Lecture 34 Some Housekeeping Tips

Lecture 35 Building the remaining pages

Lecture 36 Identifying test Cases

Lecture 37 Naming test cases

Lecture 38 Running Test cases

Section 5: Entities and Parameters

Lecture 39 Planets Bot: Introduction

Lecture 40 Entity Definitions

Lecture 41 Original vs Resolved value

Lecture 42 Intent vs Session parameters

Lecture 43 Session Parameters Intro

Lecture 44 Using session params

Lecture 45 Keeping track of session parameters

Section 6: CX Webooks using Python

Lecture 46 Before you start: Ngrok Tutorial

Lecture 47 Handling multiple intents in ES Webhooks

Lecture 48 Skeletal Code

Lecture 49 Webhook Response Object

Lecture 50 ngrok setup

Lecture 51 Webhook Request Object

Lecture 52 Handling getplanetattribute

Lecture 53 Handling changesplanet

Lecture 54 Handling changesattribute

Lecture 55 Sample Code

Lecture 56 A bug in Dialogflow CX webhooks

Lecture 57 Reroute conversation flow based on webhook response

Section 7: Dialogflow CX Slot Filling

Lecture 58 What is slot filling?

Lecture 59 Defining the slots

Lecture 60 Demo of simple slot filling bot

Lecture 61 Adding phrase variants

Lecture 62 Reprompts

Lecture 63 Reprompts with no-match-default

Lecture 64 Reprompt to selection

Lecture 65 Exiting the slot filling loop on first retry

Lecture 66 Exiting the slot filling loop after second retry

Section 8: Conditional Routes with Expressions

Lecture 67 Introduction to the quiz bot

Lecture 68 Start quiz intent

Lecture 69 Question 1 Page

Lecture 70 Question 2 Page

Lecture 71 Question 3 Page

Lecture 72 Display Score Page

Lecture 73 Scope and the flow start page

Section 9: Building a Dialogflow CX Custom Integration

Lecture 74 4 Layers of a Dialogflow Bot

Lecture 75 Set up the bot

Lecture 76 Download service account credentials file

Lecture 77 Code walkthrough

Lecture 78 Why I don’t recommend the client library

Lecture 79 Defining the custom payload inside Dialogflow CX

Lecture 80 Rich responses supported by Zoho SalesIQ

Lecture 81 Hosting the middleware code on PythonAnywhere

Lecture 82 Hosting the middleware code on Heroku

Lecture 83 Hosting the middleware code on Google Cloud

Section 10: Exception Handling

Lecture 84 DF Chooser Bot Demo

Lecture 85 Does a flowchart help when creating a Dialogflow CX bot?

Lecture 86 Bot Design Part 1

Lecture 87 Bot Design Part 2

Lecture 88 Bot Design Part 3

Section 11: Changing conversation topic

Lecture 89 CCAI Vaccine Bot Demo

Lecture 90 Start Page Routes

Lecture 91 Simple FAQ Routes

Lecture 92 Eligibility Flow

Lecture 93 Eligibility Flow Conflict Part 1

Lecture 94 Eligibility Flow Conflict Part 2

Lecture 95 Vaccine Location Flow

Lecture 96 Vaccine Location Flow – Testing the agent

Section 12: System Functions

Lecture 97 Introduction

Lecture 98 The quiz bot

Lecture 99 Text response

Lecture 100 Conditional response

Lecture 101 Custom Payload

Lecture 102 Parameter Presets

Lecture 103 Condition Routes

Section 13: Dialogflow CX Quickstart Templates

Lecture 104 Getting a list of inputs from user

Lecture 105 Save data to Airtable

Lecture 106 Basic slot filling

Lecture 107 Confirm or update user input after slot filling

Lecture 108 Advanced slot filling

Lecture 109 Advanced Slot Filling Part 2

Lecture 110 List and composite entities

Lecture 111 Get user date of birth

Lecture 112 Decision Tree Bot

Lecture 113 Quiz Bot

Lecture 114 Use Google Sheets as a database

Technical non-programmers who want to learn about conversational chatbots in the era of large language models

https://anonymz.com/?https://www.udemy.com/course/no-code-conversational-chatbots-using-dialogflow-cx/