Mastering Chatbots Using Botpress, Rasa And Transformers

Free Download Mastering Chatbots Using Botpress, Rasa And Transformers
Published 3/2023
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz
Language: English | Size: 5.43 GB | Duration: 11h 16m
All you need to develop your next AI Chatbot using Open-Source tools like Botpress, Rasa, Transformers and FastAPI

Free Download What you’ll learn
Developing Chatbots using Open-Source tools like Botpress, Rasa and Transformers. No cloud based solutions.
Understand all of the Chatbot developing pillars like intent-detection, entity-recognition, conversation flow and more.
Develop Neural Networks models to detect entities and Recognize entities in the user messages.
Integrate with third parties and APIs to develop mature chatbots with live data.
Develop web applications using fastAPI to support the chatbot services.
Learn via developing a set of real-world chatbot projects.
Requirements
A big portion of this course does not require any programming skills. Just the basics of Python and JavaScript are required for the advanced levels
Description
Are you ready to learn how to build powerful and AI-supported chatbots from scratch?there are a lot of courses out there that teach you how to develop chatbots. So what makes this course DIFFERENT?We’re NOT going to use any cloud-based chatbot solutions like Dialogflow, IBM Watson, or Microsoft Azure. Instead, we’ll be focusing on free and open-source technologies that are just as robust and powerful.We’re NOT just going to talk only about the basics of chatbot development. We’re going to dive deeply into this world.This course is full of project-based tutorials. A lot of techniques will be derived via developing a set of chatbot projectsChatbots are everywhere and are becoming an increasingly important part of our daily lives. They’re used for a wide range of applications, from customer service to online shopping, and they’re only getting more advanced and sophisticated.In the course, we delve into the different types of chatbots and their use cases, including rule-based chatbots, AI-powered chatbots, and conversational AI. We also cover the various technologies and platforms that are used to build chatbots, such as natural language processing (NLP), machine learning (ML), and chatbot development open-source projects like Botpress, Rasa, Transformers, fastAPI, Docker, and more.In this course, you will learn:How to Setup your development environment toolsHow to Install and start your first Botpress projectYou will Understand what the conversation flow studio isDevelop the different types of chatbot response templatesYou will learn how to Integrate with third parties and APIs to provide external information for usersHow to Develop a QnA chatbotsUnderstand the problem intent detection and how to solve it using either rule-based or neural networks techniquesHow to recognize entities in the user message and how to fill the slots.How to collect the data from users and forward them to an external API or store them in a database.How to develop your Rasa Chatbot Assistant modelsHow to integrate Botpress with Rasa Chatbot AssistantHow to develop a fastAPI app to serve your AI projectsHow to integrate your chatbot with popular messaging platforms like Facebook messenger and TelegramMore …By the end of the course, students will have a comprehensive understanding of the current state of chatbot technology and how it is being used in real-world applications. This knowledge will equip students with the skills and confidence to embark on their own chatbot projects and contribute to the rapidly evolving field of conversational AI.
Overview
Section 1: Course Introduction
Lecture 1 Introduction
Section 2: Installing Docker
Lecture 2 Introduction
Lecture 3 Install Docker – Ubuntu
Lecture 4 Install Docker – Windows
Lecture 5 Using of WSL – Windows
Lecture 6 Docker Files
Section 3: Setup Basic Tools
Lecture 7 Setup MiniConda
Lecture 8 Setup JupyterLab
Lecture 9 How to use JupyterLab
Lecture 10 Conclusion
Section 4: BotPress Basics
Lecture 11 Introduction
Lecture 12 Why to Use BotPress
Lecture 13 Setup BotPress
Lecture 14 Your First Chatbot
Lecture 15 Hello Buddy Chatbot – Part 1/2
Lecture 16 Hello Buddy Chatbot – Part 2/2
Lecture 17 Variable Types
Lecture 18 Conclusion
Section 5: USA Population Chatbot
Lecture 19 Introduction
Lecture 20 API Supported Chatbot
Lecture 21 Data Validation Action
Lecture 22 Debugging Action Logs
Lecture 23 Sub Flows
Lecture 24 Choices Skill
Lecture 25 Conclusion
Section 6: API Actions
Lecture 26 Develop an API Action
Lecture 27 Custom Fallbacks
Section 7: Response Templates
Lecture 28 Introduction
Lecture 29 Texts and Images
Lecture 30 Cards
Lecture 31 Carousels
Lecture 32 Files
Lecture 33 Dropdown Menus
Lecture 34 Videos
Lecture 35 Conclusion
Section 8: Questining and Answering (QnA) Chatbots
Lecture 36 Introduction
Lecture 37 Feeding Inputs
Lecture 38 Train the QnA Chatbot
Lecture 39 Exporting and Importing Training Data
Lecture 40 Rich Answers
Lecture 41 Conclusion
Section 9: Botpress NLU Engine
Lecture 42 Introduction
Lecture 43 Introduction to Intent and Entity Recognition
Lecture 44 Botpress Intent Dection
Lecture 45 Botpress Entity Recognition
Lecture 46 Conclusion
Section 10: Restaurant Survey Chatbot
Lecture 47 Introduction
Lecture 48 Basic Chatbot Developing- Part 1/4
Lecture 49 Basic Chatbot Developing- Part 2/4
Lecture 50 Basic Chatbot Developing- Part 3/4
Lecture 51 Basic Chatbot Developing- Part 4/4
Lecture 52 Setup PgAdmin
Lecture 53 Setup Feedbacks Database
Lecture 54 Storing Feedbacks into Database 1/2
Lecture 55 Storing Feedbacks into Database 2/2
Lecture 56 Conclusion
Section 11: NLP Basics
Lecture 57 Introduction
Lecture 58 Introduction to Neural Networks
Lecture 59 Introduction to Text Representation
Lecture 60 Conclusion
Section 12: Rasa NLU
Lecture 61 Introduction
Lecture 62 Why Rasa
Lecture 63 Introduction to Intent and Entity Recognition
Lecture 64 Rasa Data Architecture
Lecture 65 Rasa Dataset 1/3
Lecture 66 Rasa Dataset 2/3
Lecture 67 Rasa Dataset 3/3
Lecture 68 Train a Rasa Model
Lecture 69 Conclusion
Section 13: Football Chatbot 1/2
Lecture 70 Introduction
Lecture 71 What will you build ?
Lecture 72 How to Plan the Project ?
Lecture 73 Train Rasa Model
Lecture 74 FastAPI Project 1/6
Lecture 75 FastAPI Project 2/6
Lecture 76 FastAPI Project 3/6
Lecture 77 FastAPI Project 4/6
Lecture 78 FastAPI Project 5/6
Lecture 79 FastAPI Project 6/6
Lecture 80 Conclusion
Section 14: Football Chatbot 2/2
Lecture 81 Introduction
Lecture 82 Botpress Chatbot 1/6
Lecture 83 Botpress Chatbot 2/6
Lecture 84 Botpress Chatbot 3/6
Lecture 85 Botpress Chatbot 4/6
Lecture 86 Botpress Chatbot 5/6
Lecture 87 Botpress Chatbot 6/6
Lecture 88 Conclusion
Section 15: Messaging Platforms Integration
Lecture 89 Introduction
Lecture 90 Botpress Integration
Lecture 91 Setup Ngrok – Ubuntu
Lecture 92 Setup Ngrok – Windows
Lecture 93 Facebook Integration
Lecture 94 Telegram Integration
Lecture 95 Website Integration
Lecture 96 Conclusion
For those who want to learn how to build an intelligent digital assistants (chatbots) using open source tools
Homepage

https://www.udemy.com/course/mastering-chatbots-using-botpress-rasa-and-transformers/