Udemy - The Complete Course of Rasa Chatbot 2023

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[ DevCourseWeb.com ] Udemy - The Complete Course of Rasa Chatbot 2023
  • Get Bonus Downloads Here.url (0.2 KB)
  • ~Get Your Files Here ! 1. Introduction to Rasa
    • 1. Basic Introduction to Rasa.mp4 (101.7 MB)
    • 2. Capabilities of Rasa.mp4 (31.7 MB)
    • 3. About Rasa NLU.mp4 (52.8 MB)
    • 4. About Rasa Core.mp4 (83.5 MB)
    • 5. Live Coding Rasa Installation, Structure of domain.yml, nlu.yml, & config.yml.mp4 (52.7 MB)
    2. Building Rasa NLU
    • 1. Understanding Training data and rules.mp4 (182.6 MB)
    • 2. Overview of the domain file.mp4 (56.9 MB)
    • 3. Understanding entities.mp4 (152.6 MB)
    • 4. Understanding Slots.mp4 (86.9 MB)
    3. Development Of Rasa Weather Bot
    • 1. Introduction to development of weather bot.mp4 (65.4 MB)
    • 2. Modifying Rasa domain files and data files( nlu.yml, sturies.yml, rules.yml).mp4 (130.9 MB)
    • 3. Modifying the custom actions and deploying via the react app.mp4 (151.3 MB)
    • RASA TUTORIAL RasaUI
      • gitignore (0.3 KB)
      • package-lock.json (493.2 KB)
      • package.json (0.9 KB)
      • public
        • favicon.ico (3.8 KB)
        • index.html (1.7 KB)
        • logo192.png (5.2 KB)
        • logo512.png (9.4 KB)
        • manifest.json (0.5 KB)
        • robots.txt (0.1 KB)
        src
        • App.css (0.6 KB)
        • App.js (0.2 KB)
        • App.test.js (0.2 KB)
        • components
          • Basic.js (5.6 KB)
          • chatBot.css (1.7 KB)
        • index.css (0.4 KB)
        • index.js (0.5 KB)
        • logo.svg (2.6 KB)
        • reportWebVitals.js (0.4 KB)
        • setupTests.js (0.2 KB)
        • actions
          • __init__.py (0.0 KB)
          • __pycache__
            • __init__.cpython-38.pyc (0.2 KB)
            • actions.cpython-38.pyc (0.2 KB)
          • actions.py (1.5 KB)
            • config.yml (1.3 KB)
            • credentials.yml (1.0 KB)
            • data
              • nlu.yml (2.3 KB)
              • rules.yml (0.2 KB)
              • stories.yml (1.0 KB)
            • domain.yml (0.8 KB)
            • endpoints.yml (1.4 KB)
            • idea
              • RASA TUTORIAL.iml (0.4 KB)
              • gitignore (0.0 KB)
              • inspectionProfiles
                • Project_Default.xml (16.8 KB)
                • profiles_settings.xml (0.2 KB)
              • misc.xml (0.2 KB)
              • modules.xml (0.3 KB)
              • workspace.xml (3.1 KB)
              • main.py (0.5 KB)
              • tests
                • test_stories.yml (1.6 KB)
                4. Advanced Rasa NLU Techniques
                • 1. Introduction to Rasa deployment for production.mp4 (65.1 MB)
                • 2. Deploying Rasa with render.mp4 (142.5 MB)
                • 3. Deploying Rasa to WhatsApp platform.mp4 (113.1 MB)
                • 4. Deploying Rasa to Telegram platform.mp4 (78.4 MB)
                5. Advanced Rasa Core Techniques
                • 1. Common Rasa commands and their uses.mp4 (85.5 MB)
                • 2. Review of the steps Involved in starting and training a Rasa project.mp4 (76.5 MB)
                • 3. Role of Chatbots and assistants in industries.mp4 (125.1 MB)
                6. Development of Raina Lung Cancer Risk Assessment ChatBot
                • 1. Introduction to Section 6.mp4 (80.4 MB)
                • 2. Understanding the Problem Statement.mp4 (51.2 MB)
                • 3. ChatBot in Action.mp4 (29.4 MB)
                • 4. Development of Raina Part 1.mp4 (96.0 MB)
                • 5. Development of Raina Part 2.mp4 (198.3 MB)
                7. Continuation on Raina Development, Overview of Rasa Interactive
                • 1. Introduction to Section 7, Building the custom actions for Raina.mp4 (240.4 MB)
                • 2. Deploying Raina to Messaging Platforms (Telegram).mp4 (52.6 MB)
                • 3. Overview of Rasa Interactive.mp4 (111.5 MB)
                8. Conclusion
                • 1. Introduction to Section 8.mp4 (77.3 MB)
                • 2. The Future of Rasa in comparison to ChatGpt.mp4 (208.1 MB)
                • 3. Using ChatGpt to build Rasa Chatbots.mp4 (110.4 MB)
                • 4. Recap of the course and Conclusion.mp4 (24.5 MB)
                • Bonus Resources.txt (0.4 KB)

Description

The Complete Course of Rasa Chatbot 2023

https://DevCourseWeb.com

Published 12/2023
Created by The Tech Courses
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 31 Lectures ( 6h 47m ) | Size: 3.1 GB

Learn how to build a Python Chatbot in a Professional way. Become an expert in Rasa framework and NLU, from A to Z!

What you'll learn:
At the end of the course you will fully master Rasa, to be able to deploy your own python conversational chatbots from scratch
You will be able to develop your own codes, understanding all the logic and ending with advanced practical examples & step by step projects
You will become familiar with the Rasa structure and basic commands, and you will master all the phases of the configuration process
You will learn in a professional way how to Build Rasa NLU (Natural Language Understanding) chatbots
You will develop step-by-step a Rasa Weather Bot, modifying the domain files, the data files, and the custom actions, and deploying it via the react app
You will learn Learn the Advanced Rasa NLU and Rasa Core Techniques, including, for example, deploying Rasa Chatbot to Watsapp or Telegram
You will develop from scratch Raina (Lung Cancer Risk Assessment Chatbot), mastering all the phases of the creation and deploying it to messaging paltforms
You will learn the Rasa Interactive, understanding its basis
You will learn how to use ChatGPT to build Rasa Chatbots
You will master the advanced Tips and Tricks to Rasa framework, and you will discover the best resources to stay updated
You will be able to practice the content learned in a practical way by following all the steps in the complete exercises and the complete projects
You will start with the basics and progressively carry out more complex steps until you reach an advanced level and absolute mastery at the end of the course

Requirements:
Having basic notions of Rasa and machine learning can help, but if not, do not worry cause the course starts from scratch
Installing Rasa and preparing the needed environment (if you don't know how, don't worry, it's very easy, free, and I'll explain it to you in the course!)
A decent computer and of course, desire to learn!



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Udemy - The Complete Course of Rasa Chatbot 2023


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