The course covers various aspects of building a chatbot using deep learning techniques. It starts with a high-level theory on machine learning, deep learning, and AI, providing an overview of these topics and suggesting additional resources for further reading. The course then delves into the practical implementation of the chatbot. It emphasizes the importance of creating a chatbot intents file, which contains details about the different intents or purposes of user queries. The Python code is provided for building the deep learning chatbot model, which involves training a model to understand and generate appropriate responses.
The course also includes code for processing sentences or questions that users ask the chatbot. This code simplifies the text and compares it to the trained model, making predictions on the most suitable response. Additionally, the course guides learners through building a Flask application that serves as the interface for writing questions to the chatbot. The Flask app utilizes jQuery to facilitate the processing of questions on the server side. Overall, the course combines theoretical knowledge with practical implementation to enable learners to develop a functional deep learning chatbot using Python and Flask.
Software Programmer and Tech Entrepreneur, i have extensive experience in Software Development - end-to-end in most platforms, Business Processes and Entrepreneurship. I am a fully qualified Engineer, with a Bachelors Degree and Masters in Business Administration - with over 17 years of professional experience. I am also an entrepreneur with a couple of award winning ventures and projects in Software Development.