How to Build your own Chatbot using Python?
Enroll in this comprehensive free course on how to build your own chatbot using Python, understand the types, architecture, and significant processes to make an AI chatbot in Python, and get a completion certificate.
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About this course
This free course on how to build a chatbot using Python will help you comprehend it from scratch. You will first start by understanding the history and origin of chatbot and comprehend the importance of implementing it using Python programming language. You will learn about types of chatbots and multiple approaches for building the chatbot and go through its top applications in various fields. Further, you will understand its architecture and mechanism through understanding the stages and processes involved in detail. Lastly, the hands-on demo will also give you practical knowledge of implementing chatbots in Python. Enroll and complete all the modules in the course, along with the quiz at the end, to gain a certificate.
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Course Outline
This module starts by discussing how the Python programming language is suitable for Natural Language Processing and the development of AI chatbots. You will also go through the history of chatbots to understand their origin.
This module discusses the two types of chatbots in detail. You will go through two different approaches used for developing chatbots. Lastly, you will thoroughly learn about the top applications of chatbots in various fields.
In this module, you will get in-depth knowledge of the various processes that play a role in the architecture of chatbots.
There are steps involved for an AI chatbot to work efficiently. In this module, you will understand these steps and thoroughly comprehend the mechanism.
Practical knowledge plays a vital role in executing your programming goals efficiently. In this module, you will go through the hands-on sessions on building a chatbot using Python.
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Frequently Asked Questions
What are the prerequisites required to learn this building chatbot using Python course?
This is a beginner course requiring no prerequisites to learn about chatbots.
How long does completing this free “How to build your own chatbot using Python” course take?
This free course contains 1.5 hours of self-paced video content, and you can learn the concepts at your own pace.
Will I have lifetime access to the free course?
You will have lifetime access to this free course and can revisit it anytime to relearn the concepts.
What are my next learning options after this building chatbot course?
You can enroll in Great Learning’s PG in Artificial Intelligence and Machine Learning Course by the University of Texas - McCombs.
Is it worth learning to build a chatbot?
Learning how to create chatbots will be beneficial since they can automate customer support or informational delivery tasks. Chatbots can also increase customer satisfaction and engagement. There is a significant demand for chatbots, which are an emerging trend.
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Build Chatbot Using Python
You may have seen it has become a good business strategy by many companies to introduce the Chatbots on their website. It is validating as a successful initiative to engage the customers. A Chatbot is a program that chats with people. It is the result of Artificial Intelligence and NLP. Artificial Intelligence is a field that is proving to be very healthy and productive in various areas. It is for sure an exponentially growing field. A Chatbot is one of its results that allows humans to get their answers through bots. It is one of the successful strategies to grab customers’ attention and provide them with the most impactful output.
Earlier customers used to wait for days to receive answers to their queries regarding any product or service. But now, it takes only a few moments to get solutions to their problems with Chatbot introduced in the dashboard. It is productive from a customer’s point of view as well as a business perspective. Chatbots work more brilliantly the more people interact with them. The service provided by Chatbots is diverse. First, Chatbots was popular for its text communication, and now it is very familiar among people through voice communication.
Take the example of the most popular Chatbot introduced by Amazon called Alexa. Nowadays, Alexa is being used in everyday life and is helpful for many in their daily life activities. For a simple question like “what time is it?” these Chatbots are intelligent to understand and provide a suitable answer. It acts humanly in terms of the brain, and it understands people’s requirements and provides the most satisfying solution. Like Alexa, other Chatbots like Siri, Google Assistant, and many more Chatbots have proven to be very profitable to many businesses.
It is also evident that people are more engrossed in messaging apps than simply passing through various social media. Hence, Chatbots are proving to be more trending and can be a lot of revenue to the businesses. With the increase in demand for Chatbots, there is an increase in more developer jobs. Many organizations offer more of their resources in Chatbots that can resolve most of their customer-related issues. There is a high demand for developing an optimized version of Chatbots, and they are expected to be smarter enough to come to the aid of the customers. It must be trained to provide the desired answers to the queries asked by the consumers.
If you want to develop Chatbots at a lower level, go with the Python programming language. Python is one such language that comes with extensive library support and all the required packages for developing stable Chatbots. Python will be a good headstart if you are a novice in programming and want to build a Chatbot. To create the Chatbot, you must first be familiar with the Python programming language and must have some skills in coding, without which the task becomes a little challenging.
You can also try creating a Python WhatsApp bot or a simple Chatbot code in Python. You can find many helpful articles regarding AI Chatbot Python. There is also a good scope for developing a self-learning Chatbot Python being its most supportive programming language. Data Science is the strong pillar for creating these Chatbots. AI and NLP prove to be the most advantageous domains for humans to make their works easier. As far as business is concerned, Chatbots contribute a fair amount of revenue to the system.
It is a great application where people no longer feel lonely and work more efficiently. You can speak anything to the Chatbot without the fear of being judged by it, which is its incredible beauty. It is an AI-based software with the help of NLP to resolve people’s queries without any human interference. Chatbots are proving to be cost and time-effective. In businesses, humans can not be at service 24/7. But Chatbots help in resolving this issue. Chatbots provide faster solutions than humans, adding another feather to its cap.
Nowadays, developing Chatbots is also at a reasonable cost, with the advancement in technology adding the cherry to the top. Developing and integrating Chatbots has become easier with supportive programming languages like Python and many other supporting tools. Chatbots can also be utilized in therapies where a person suffering from loneliness can easily share their concerns before the bot and find peace with their sufferings. Chatbots are proving to be more advantageous to humans and are becoming a good friend to talk with its text-to-speech technology.
You can create Chatbot using Python with the help of its NLTK library. Python Tkinter module is beneficial while developing this application. You can design a simple GUI of Chatbot using this module to create a text box and button to submit the user queries. Once the queries are submitted, you can create a function that allows the program to understand the user’s intent and respond to them with the most appropriate solution. If you haven’t installed the Tkinter module, you can do so using the pip command.
You can use if-else control statements that allow you to build a simple rule-based Python Chatbot. You can interact with the Chatbot you have created by running the application through the interface. NLTK is one such library that helps you develop an advanced rule-based Chatbot using Python. You can make use of the NLTK library through the pip command. Import the library while programming and creating functions containing an entire logic for processing the text data appearing as the input and searching for the suitable solution for that data being processed.
A reflection is a dictionary that proves advantageous in maintaining essential input and corresponding outputs. Hence, you also need to import reflections in your code. You can also create your own dictionary where all the input and outputs are maintained. You can learn more about implementing the Chatbot using Python by enrolling in the free course called “How to Build Chatbot using Python?” offered by Great Learning. This free course will provide you with a brief introduction to Chatbots and their use cases. You can also go through a hands-on demonstration of how Chatbot is built using Python. This course is all you want as a beginner. Hurry and enroll in this free course and attain certification to gain better job opportunities.