Rasa Chatbot development using Python and OpenAI GPT-3 model

Rasa Chatbot development using Python and OpenAI GPT-3 model
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Price: 1299$

This course provides an introduction to Rasa chatbot development using Python and Open AI GPT3 model. The course covers all the fundamentals of chatbot development. As Rasa is an open source framework for building contextual AI assistants. You will learn how to create and train Rasa NLU models to extract intents and entities from incoming user messages. The course will also cover topics such as creating custom slots, forms, stories using conversational flows and  also some of the concepts such as connecting to duckling entity extractor , reminder scheduler , saving the conversation and creating. bat files to run , host the servers and how to use rasa webchat to connect to rasa sever. It also Includes how to build and host a Rasa chatbot on your local machine, how to use machine learning and natural language processing (NLP) to understand user input, and how to use Open AI GPT3 to make the chatbot more intelligent. With very basic coding skills needed any beginner in programming can get along with the course and learn how to build advanced chatbots!. Through hands-on activities, participants will gain practical experience in creating and hosting their own Rasa chatbot. At the end of the course, participants will have the skills and knowledge necessary to build and host their own Rasa chatbot.

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