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January 28, 2025
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Instructor: Packt - Course Instructors
Included with
Recommended experience
Intermediate level
Ideal for developers, data scientists, and tech enthusiasts exploring chatbot development with machine learning. Python knowledge recommended.
Recommended experience
Intermediate level
Ideal for developers, data scientists, and tech enthusiasts exploring chatbot development with machine learning. Python knowledge recommended.
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.
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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.
As you progress, you’ll focus on machine learning-based chatbots, exploring their architecture, features, and the revolutionary impact of ML on customer service, healthcare, and more. You’ll gain practical experience by working with the Natural Language Toolkit (NLTK) to develop rule-based chatbots, covering essential topics such as data input, word tokenization, lemmatization, and response generation. The course also covers advanced concepts like Wikipedia search integration and local search mechanisms, enabling you to build more robust and interactive chatbots. Finally, you will apply everything you’ve learned in a project where you develop a conversational chatbot from scratch. You’ll handle data collection, preprocessing, and response generation using sophisticated techniques like TF-IDF and cosine similarity. By the end, you’ll have a fully functional chatbot and a deep understanding of the principles and practices of chatbot development, positioning you to leverage AI in real-world applications. This course is ideal for software developers, data scientists, and AI enthusiasts who want to build chatbots using machine learning and Python. A basic understanding of Python programming is required, and familiarity with machine learning concepts will be beneficial but not mandatory.
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.
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.
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.
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.
10 videos2 assignments
Packt helps tech professionals put software to work by distilling and sharing the working knowledge of their peers. Packt is an established global technical learning content provider, founded in Birmingham, UK, with over twenty years of experience delivering premium, rich content from groundbreaking authors on a wide range of emerging and popular technologies.
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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.
If you complete the course successfully, your electronic Course Certificate will be added to your Accomplishments page - from there, you can print your Course Certificate or add it to your LinkedIn profile.
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