| 1. Basic Introduction to Rasa.mp4 | 101.7 MB | ||
| 1. Common Rasa commands and their uses.mp4 | 85.5 MB | ||
| 1. Introduction to Rasa deployment for production.mp4 | 65.1 MB | ||
| 1. Introduction to Section 6.mp4 | 80.4 MB | ||
| 1. Introduction to Section 7, Building the custom actions for Raina.mp4 | 240.4 MB | ||
| 1. Introduction to Section 8.mp4 | 77.3 MB | ||
| 1. Introduction to development of weather bot.mp4 | 65.4 MB | ||
| 1. Understanding Training data and rules.mp4 | 182.6 MB | ||
| 2. Capabilities of Rasa.mp4 | 31.7 MB | ||
| 2. Deploying Raina to Messaging Platforms (Telegram).mp4 | 52.6 MB | ||
| 2. Deploying Rasa with render.mp4 | 142.5 MB | ||
| 2. Modifying Rasa domain files and data files( nlu.yml, sturies.yml, rules.yml).mp4 | 130.9 MB | ||
| 2. Overview of the domain file.mp4 | 56.9 MB | ||
| 2. Review of the steps Involved in starting and training a Rasa project.mp4 | 76.5 MB | ||
| 2. The Future of Rasa in comparison to ChatGpt.mp4 | 208.1 MB | ||
| 2. Understanding the Problem Statement.mp4 | 51.2 MB | ||
| 3. About Rasa NLU.mp4 | 52.8 MB | ||
| 3. ChatBot in Action.mp4 | 29.4 MB | ||
| 3. Deploying Rasa to WhatsApp platform.mp4 | 113.1 MB | ||
| 3. Modifying the custom actions and deploying via the react app.mp4 | 151.3 MB | ||
| 3. Overview of Rasa Interactive.mp4 | 111.5 MB | ||
| 3. Role of Chatbots and assistants in industries.mp4 | 125.1 MB | ||
| 3. Understanding entities.mp4 | 152.6 MB | ||
| 3. Using ChatGpt to build Rasa Chatbots.mp4 | 110.4 MB | ||
| 4. About Rasa Core.mp4 | 83.5 MB | ||
| 4. Deploying Rasa to Telegram platform.mp4 | 78.4 MB | ||
| 4. Development of Raina Part 1.mp4 | 96 MB | ||
| 4. Recap of the course and Conclusion.mp4 | 24.5 MB | ||
| 4. Understanding Slots.mp4 | 86.9 MB | ||
| 5. Development of Raina Part 2.mp4 | 198.3 MB | ||
| 5. Live Coding Rasa Installation, Structure of domain.yml, nlu.yml, & config.yml.mp4 | 52.7 MB | ||
| App.css | 614.4 B | ||
| App.js | 204.8 B | ||
| App.test.js | 204.8 B | ||
| Basic.js | 5.6 KB | ||
| Bonus Resources.txt | 409.6 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| Project_Default.xml | 16.8 KB | ||
| RASA TUTORIAL.iml | 409.6 B | ||
| __init__.cpython-38.pyc | 204.8 B | ||
| __init__.py | 0 B | ||
| actions.cpython-38.pyc | 204.8 B | ||
| actions.py | 1.5 KB | ||
| chatBot.css | 1.7 KB | ||
| config.yml | 1.3 KB | ||
| credentials.yml | 1 KB | ||
| domain.yml | 819.2 B | ||
| endpoints.yml | 1.4 KB | ||
| favicon.ico | 3.8 KB | ||
| gitignore | 0 B | ||
| index.css | 409.6 B | ||
| index.html | 1.7 KB | ||
| index.js | 512 B | ||
| logo.svg | 2.6 KB | ||
| logo192.png | 5.2 KB | ||
| logo512.png | 9.4 KB | ||
| main.py | 512 B | ||
| manifest.json | 512 B | ||
| misc.xml | 204.8 B | ||
| modules.xml | 307.2 B | ||
| nlu.yml | 2.3 KB | ||
| package-lock.json | 493.2 KB | ||
| package.json | 921.6 B | ||
| profiles_settings.xml | 204.8 B | ||
| reportWebVitals.js | 409.6 B | ||
| robots.txt | 102.4 B | ||
| rules.yml | 204.8 B | ||
| setupTests.js | 204.8 B | ||
| stories.yml | 1 KB | ||
| test_stories.yml | 1.6 KB | ||
| workspace.xml | 3.1 KB | ||
| ▲ 72 total files | |||
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 - ISO 26262 Automotive Functional Safety - The Blueprint Method Posted by
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Udemy - Databricks Playbook - Operate, Govern and Defend the Lakehouse Posted by
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| 3.7 GB | freecoursewb | 2 weeks | 5 | 7 |
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