Mastering Chatbots using Botpress, Rasa 3 and Transformers

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Abu Bakr Soliman

11:17:00

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1 - Course Introduction

1 - Introduction.mp4

04:00

2 - Installing Docker

2 - Introduction.mp4

00:21

3 - Install Docker Ubuntu.mp4

04:24

4 - Install Docker Windows.mp4

07:38

5 - Using of WSL Windows.mp4

01:05

6 - Docker Files.html

6 - Docker-files.zip

3 - Setup Basic Tools

7 - Setup MiniConda.mp4

05:34

8 - Setup JupyterLab.mp4

07:55

9 - How to use JupyterLab.mp4

01:14

10 - Conclusion.mp4

00:14

4 - BotPress Basics

11 - 1-bot-hello-buddy-dump.zip

11 - Introduction.mp4

00:17

12 - Why to Use BotPress.mp4

06:05

13 - Setup BotPress.mp4

13:49

14 - Your First Chatbot.mp4

03:23

15 - Hello Buddy Chatbot Part 12.mp4

19:16

16 - Hello Buddy Chatbot Part 22.mp4

10:26

17 - Variable Types.mp4

03:17

18 - Conclusion.mp4

00:16

5 - USA Population Chatbot

19 - 2-bot-usa-population-api-dump.zip

19 - Introduction.mp4

00:27

20 - API Supported Chatbot.mp4

13:29

21 - Data Validation Action.mp4

16:45

22 - Debugging Action Logs.mp4

04:10

23 - Sub Flows.mp4

03:13

24 - Choices Skill.mp4

13:25

25 - Conclusion.mp4

00:17

6 - API Actions

26 - Develop an API Action.mp4

10:19

27 - Custom Fallbacks.mp4

08:26

7 - Response Templates

28 - 4-bot-bot-templates-dump.zip

28 - Introduction.mp4

00:20

29 - Texts and Images.mp4

12:21

30 - Cards.mp4

06:22

31 - Carousels.mp4

03:16

32 - Files.mp4

02:41

33 - Dropdown Menus.mp4

03:03

34 - Videos.mp4

01:59

35 - Conclusion.mp4

00:13

8 - Questining and Answering QnA Chatbots

36 - 5-bot-faq-dump.zip

36 - Introduction.mp4

00:23

37 - Feeding Inputs.mp4

06:23

38 - Train the QnA Chatbot.mp4

05:59

39 - Exporting and Importing Training Data.mp4

01:14

40 - Rich Answers.mp4

02:44

41 - Conclusion.mp4

00:17

9 - Botpress NLU Engine

42 - 6-nlu-basics-1.zip

42 - Introduction.mp4

00:36

43 - Introduction to Intent and Entity Recognition.mp4

11:35

44 - Botpress Intent Dection.mp4

11:47

45 - Botpress Entity Recognition.mp4

08:11

46 - Conclusion.mp4

00:27

10 - Restaurant Survey Chatbot

47 - 7-restaurant-survey.zip

47 - Introduction.mp4

00:26

48 - Basic Chatbot Developing Part 14.mp4

05:26

49 - Basic Chatbot Developing Part 24.mp4

18:26

50 - Basic Chatbot Developing Part 34.mp4

08:46

51 - Basic Chatbot Developing Part 44.mp4

09:29

52 - Setup PgAdmin.mp4

06:49

53 - Setup Feedbacks Database.mp4

04:21

54 - Storing Feedbacks into Database 12.mp4

12:30

55 - Storing Feedbacks into Database 22.mp4

04:16

56 - Conclusion.mp4

00:17

11 - NLP Basics

57 - Introduction.mp4

00:33

58 - Introduction to Neural Networks.mp4

14:03

59 - Introduction to Text Representation.mp4

15:06

60 - Conclusion.mp4

00:21

12 - Rasa NLU

61 - Introduction.mp4

00:32

62 - Why Rasa.mp4

01:45

63 - Introduction to Intent and Entity Recognition.mp4

11:35

64 - Rasa Data Architecture.mp4

06:59

65 - Rasa Dataset 13.mp4

17:54

66 - Rasa Dataset 23.mp4

14:13

67 - Rasa Dataset 33.mp4

16:34

68 - Train a Rasa Model.mp4

16:06

69 - Conclusion.mp4

00:21

13 - Football Chatbot 12

70 - Introduction.mp4

00:35

70 - rasa-football-chatbot-model.zip

71 - What will you build.mp4

02:50

72 - How to Plan the Project.mp4

10:34

73 - Train Rasa Model.mp4

33:27

74 - FastAPI Project 16.mp4

10:40

75 - FastAPI Project 26.mp4

10:10

76 - FastAPI Project 36.mp4

15:17

77 - FastAPI Project 46.mp4

25:33

78 - FastAPI Project 56.mp4

25:38

79 - FastAPI Project 66.mp4

09:20

80 - Conclusion.mp4

00:23

14 - Football Chatbot 22

81 - 8-football.zip

81 - Introduction.mp4

00:23

82 - Botpress Chatbot 16.mp4

15:46

83 - Botpress Chatbot 26.mp4

10:40

84 - Botpress Chatbot 36.mp4

25:42

85 - Botpress Chatbot 46.mp4

03:02

86 - Botpress Chatbot 56.mp4

04:52

87 - Botpress Chatbot 66.mp4

02:22

88 - Conclusion.mp4

00:23

15 - Messaging Platforms Integration

89 - Introduction.mp4

00:24

90 - Botpress Integration.mp4

01:03

91 - Setup Ngrok Ubuntu.mp4

05:46

92 - Setup Ngrok Windows.mp4

06:09

93 - Facebook Integration.mp4

10:38

94 - Telegram Integration.mp4

06:29

95 - Website Integration.mp4

12:09

96 - Conclusion.mp4

00:21

Description

All you need to develop your next AI Chatbot using Open-Source tools like Botpress, Rasa, Transformers and FastAPI

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.

Who is this for?

For those who want to learn how to build an intelligent digital assistants (chatbots) using open source tools

More details

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. Weâ€™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 projects
Chatbots 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 tools
How to Install and start your first Botpress project
You will Understand what the conversation flow studio is
Develop the different types of chatbot response templates
You will learn how to Integrate with third parties and APIs to provide external information for users
How to Develop a QnA chatbots
Understand the problem intent detection and how to solve it using either rule-based or neural networks techniques
How 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 models
How to integrate Botpress with Rasa Chatbot Assistant
How to develop a fastAPI app to serve your AI projects
How to integrate your chatbot with popular messaging platforms like Facebook messenger and Telegram
More ...

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.
Who this course is for:
For those who want to learn how to build an intelligent digital assistants (chatbots) using open source tools

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Talented Engineer with more than 8 years of experience in Machine Learning and Data Science fields. In addition to work as a web developer 14 years ago for various large software houses. With a solid academic background, I have a master's degree in Machine Learning and NLP after working 2 years as a Research Assistant with a highly talented team at Nile University.I have varied experiences in Machine Learning, Deep Learning, NLP, Data Science, Databases, Python, JavaScript,SQL, Web Crawling and more.

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