This course is designed to equip learners with the knowledge and skills required to develop advanced chatbots using deep learning and Python. The initial modules provide an overview of chatbots, their evolution, and the benefits of incorporating AI into chatbot development. Learners will gain an understanding of the fundamental differences between conventional chatbots and those powered by deep learning, including generative and retrieval models.
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Recommended experience
What you'll learn
Identify the key differences between conventional and AI-based chatbots.
Explain how deep learning enhances chatbot functionalities across different industries.
Build a chatbot using Python and deep learning libraries like TensorFlow and Keras.
Examine the architecture and workflow of encoder-decoder models in chatbot development.
Skills you'll gain
Details to know
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October 2024
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There are 3 modules in this course
In this module, we will cover the foundational details of the course and instructor, introducing learners to the benefits of learning through the AI Sciences platform. We’ll explore the overall course structure, highlighting key topics like chatbot technology, its comparison to other systems, and the deep learning frameworks involved.
What's included
3 videos1 reading
In this module, we will explore the core fundamentals of chatbots, focusing on how deep learning enhances chatbot capabilities. We will compare conventional chatbots with AI-based ones and dive into specific use cases, such as how chatbots function in healthcare, business, and ecommerce, delivering tailored experiences and operational efficiencies.
What's included
7 videos
In this module, we will dive deep into the architecture and development of chatbots using deep learning. Learners will build chatbots from scratch by implementing frameworks, preparing data, tokenizing text, and training models using tools like TensorFlow and Keras. The module culminates in testing chatbot predictions and optimizing performance.
What's included
17 videos2 assignments
Instructor
Offered by
Recommended if you're interested in Machine Learning
Edureka
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Frequently asked questions
Yes, you can preview the first video and view the syllabus before you enroll. You must purchase the course to access content not included in the preview.
If you decide to enroll in the course before the session start date, you will have access to all of the lecture videos and readings for the course. You’ll be able to submit assignments once the session starts.
Once you enroll and your session begins, you will have access to all videos and other resources, including reading items and the course discussion forum. You’ll be able to view and submit practice assessments, and complete required graded assignments to earn a grade and a Course Certificate.