This course offers a thorough exploration of chatbots and their development using machine learning and Python. You’ll start with an introduction to chatbots, including their history and various applications across industries. The course then delves into the distinctions between chatbots, virtual assistants, and personal assistants, providing a comprehensive overview of their respective benefits and challenges.
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Recommended experience
What you'll learn
Define the fundamental concepts of rule-based and self-learning chatbots.
Explain the architecture of machine learning-based chatbots and the role of the NLTK library.
Develop chatbots using Python and implement text tokenization, lemmatization, and response generation.
Differentiate between rule-based and self-learning chatbot mechanisms.
Skills you'll gain
Details to know
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October 2024
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There are 4 modules in this course
In this module, we will introduce the course, outlining the instructor’s credentials and AI Sciences' expertise. We’ll also provide a brief overview of the course structure and delve into key chatbot technologies, including machine learning-based and conversational chatbots.
What's included
5 videos1 reading
In this module, we will explore the origins of chatbots, their advancements, and their modern-day uses. You'll learn how chatbots differ from virtual and personal assistants, and investigate the various types, benefits, and challenges associated with them.
What's included
13 videos1 assignment
In this module, we will dive into machine learning-powered chatbots, covering their architecture and the critical role of the Natural Language Toolkit (NLTK) in development. You'll gain hands-on experience building a rule-based chatbot, learning about various ML features that enhance chatbot performance.
What's included
16 videos
In this module, we will guide you through a complete project, where you’ll develop a conversational chatbot using the NLTK library. From gathering data to creating intelligent responses, you’ll build and test a fully functioning chatbot capable of engaging users in conversation.
What's included
10 videos2 assignments
Instructor
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Recommended if you're interested in Machine Learning
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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.