NLP Techniques for creating AI Chatbots

Lean all the current techniques for building full business-ready chatbots that go past the basic frame! What you’ll learn:
What are and how chatbots work
Different types of chatbots
How to architect a chatbot
Natural Language Processing Tecchniques
How to classify intents
Named Entity Recognition
NLP Fundamentals
Similarity detection using Embeddings and Sentence-encoders
How to do disambiguation
Auto generation of training data
Localization (using translation)
Speech recognition
Speech synthesization
Build complex chatbots that go past the basic functionalities

Requirements
Be familiar with Python
Linux experience is helpful but not mandatory

Description
In the past few years Chatbots have become a must-have for businesses and companies. With latest advancements in Natural Language Processing we can build better chatbots in a fraction of the time it took a few years ago.

As such, many solutions like DialogFlow, Wit, and chatbot frameworks emerged that offer a quick way to create basic chatbots. But they have limitations, especially if you want to make something more complex and personalized. Because of that, I’m showing you how to use state-of-the-art NLP libraries and combine them to get a more advanced possible use of a chatbot.

After this course, the amazing thing won’t be that the chatbot responds, but the entire process you’re able to create and the possibilities that become available. You’ll be more confident in tackling more difficult problems and will be able to make a more complex chatbot that offers more variety and functionality.

Who this course is for
Anyone that wants to know how chatbots work
Anyone that wants to see how chatbots can be more than basic question responders
Beginner data science students
Anyone that wants to see NLP libraries be applied in real world problems