Description
Course “How to create a chatbot with open source Python and Rasa.” If you want to enter the exciting world of conversational AI, this course is your path to building powerful and intelligent chatbots from scratch using open source Python and Rasa. In today’s digital world, chatbots have become an integral part of user experience and customer support. This course has been carefully designed to give you the skills you need to build advanced chatbots using Python while also leveraging the power of open source Rasa, the leading conversational AI framework.
By the end of this course, you will have the skills and knowledge to create intelligent chatbots that can understand user intent, extract and present information, and provide an enjoyable communication experience. Whether you’re a developer looking to enter the world of AI-powered chatbots or a professional looking to improve customer interactions, this course will enable you to build and deploy advanced chatbots using open source Python and Rasa .
What will you learn
- Understanding Rasa NLU: Lay the foundation by understanding the key concepts of Rasa NLU (Natural Language Understanding). Learn how to preprocess user messages and extract meaning from them to create context for accurate interactions.
- Create a weather chatbot and call the API. Get practical by building a weather chatbot that interacts with external APIs to provide real-time weather information. Learn how to easily integrate API calls into your chatbot.
- Advanced NLU techniques: Improve your chatbot’s understanding of user intents and objects. Learn best practices for improving NLU performance, including entity detection and synonym handling.
- Rasa Forms: Discover the power of Rasa Forms to create structured conversations. Implement dynamic forms that help users navigate complex interactions and provide a smooth, user-friendly experience.
- Assistive mechanisms and handoffs to people: Learn how to properly handle user requests that are beyond the capabilities of the chatbot using assistive mechanisms. Explore strategies for smooth transition to human agents, if applicable.
- Rasa and MySQL database. To provide personalized interactions and a more engaging user experience, integrate Rasa with MySQL databases to store and retrieve user data.
- Launching a Rasa Chatbot: Take your chatbot from development to launch. Explore deployment options and strategies to ensure your chatbot is available to users across multiple platforms.
- Integration of Rasa and Flask. Expand your chatbot’s capabilities by integrating it with Flask, a powerful web framework. Learn how to create a great web interface for your chatbot.
Who is this course suitable for?
- Beginners interested in creating chatbots in Python.
Course Details: How to Create a Chatbot with Open Source Python and Rasa
- Publisher: Udemy
- Teacher: Parviz Forog
- Level of training: from beginner to advanced
- Duration of training: 6 hours 58 minutes
- Number of courses: 43
Course headings
Prerequisites for the How to Build a Chatbot with Open Source Python and Rasa Course
course images
Example video course
installation instructions
Once extracted, watch using your favorite player.
English subtitles
Quality: 720p
Download link
Password for file(s): www.downloadly.ir
size
2.8 GB