Create a Deep Learning Machine Learning Chatbot with Python and Flask


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.

What You will Learn?

  • Gain a high-level understanding of Machine Learning, Deep Learning, and AI, specifically in the context of chatbot development.
  • Learn how to define intents and create a comprehensive chatbot intents file.
  • Develop Python code for building a deep learning chatbot model using appropriate libraries and frameworks.
  • Explore best practices for training, fine-tuning, and evaluating the performance of a deep learning chatbot model.


  • Basic knowledge of Python programming language.
  • Familiarity with fundamental concepts of Machine Learning and Artificial Intelligence.


  • Deep understanding of Machine Learning, Deep Learning, and AI concepts related to chatbot development.
  • Proficiency in Python programming for building and training deep learning models.
  • Ability to preprocess and analyze text data for chatbot intents and responses. Knowledge of Flask framework and its integration with Python for creating a chatbot application
    In this section, we will provide an overview of the course and the key steps we will cover in this lecture. We will start by discussing high-level theory on Machine Learning, Deep Learning, and AI, providing you with a solid foundation for understanding the concepts underlying chatbot development.
    We will explore reliable sources of information where you can further delve into these topics and expand your knowledge. Understanding the theoretical aspects will set the stage for practical implementation.
    By the end of this section, you will have a solid understanding of the theoretical foundations of chatbot development and gain practical experience in implementing key components such as intents files, deep learning models, Flask applications, and user interaction.

Tutor: Bertha Kgokong

Software Programmer And Tech Entrepreneur

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.