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Customer Service with Python

Build a Chatbot using ChatGPT

Mo Rebaie

In this guided 2-hour project-based course, you'll learn the intricacies of building and customizing an AI-powered chatbot using Python and the ChatGPT API. You'll start by setting up your coding environment, including importing libraries and configuring the OpenAI API key. Then, you'll engage in direct communication with the ChatGPT model, learning to manage and refine the chatbot's conversation flow for handling FAQs in customer service.

The project progresses as you develop skills to initiate and test chatbot conversations, ensuring they are aligned with customer service needs. Finally, you'll apply your newfound knowledge to build and interact with a customized chatbot tailored for specific e-commerce scenarios. This project is designed to guide you through each step, culminating in the creation of a functional customer service chatbot. By the end, you'll possess not only a working chatbot but also the skills to adapt and enhance AI chatbot solutions for various business needs.

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What's inside

Syllabus

Chat with an AI ChatBot with ChatGPT API on Google Colab

By the end of this project, learners will have mastered the skills necessary to build and customize an AI-powered chatbot using Python and ChatGPT API, enabling them to implement efficient and responsive customer service solutions for various business scenarios.

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Develops skills to build and customize AI-powered chatbots, which are highly relevant to customer service

Teaches Python, a programming language highly relevant to the tech industry

Employs the ChatGPT API, which is state-of-the-art in chatbot development

Offers hands-on labs and interactive materials, which enhance learning

Suitable for learners with no prior experience in chatbot development, building a strong foundation

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Activities

Coming soon We're preparing activities for Customer Service with Python: Build a Chatbot using ChatGPT. These are activities you can do either before, during, or after a course.

Career center

Learners who complete Customer Service with Python: Build a Chatbot using ChatGPT will develop knowledge and skills that may be useful to these careers:

Chatbot Developer

A Chatbot Developer designs, develops, and maintains chatbots for websites and other digital platforms. They may also work on the natural language processing (NLP) and artificial intelligence (AI) algorithms that power chatbots. This course can help you develop the skills necessary to build and customize AI-powered chatbots using Python and ChatGPT API. You will learn how to manage and refine the chatbot's conversation flow, ensuring that it is aligned with customer service needs. This course may also help you build a portfolio of chatbot projects that you can use to showcase your skills to potential employers.

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Customer Service Representative

A Customer Service Representative provides support to customers via phone, email, or chat. They may also handle customer complaints and resolve issues. This course can help you develop the skills necessary to handle customer inquiries and provide excellent customer service. You will learn how to manage and refine the chatbot's conversation flow, ensuring that it is aligned with customer service needs.

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Data Analyst

A Data Analyst collects, analyzes, and interprets data to help businesses make informed decisions. They may also develop and implement data visualization tools. This course can help you develop the skills necessary to collect and analyze data from chatbots. You will learn how to use Python and ChatGPT API to build and customize chatbots that can collect customer feedback and other data. This data can then be used to improve the chatbot's performance and customer service.

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Natural Language Processing Engineer

A Natural Language Processing Engineer develops and implements natural language processing (NLP) algorithms to solve business problems. They may also work on the natural language processing (NLP) and artificial intelligence (AI) algorithms that power chatbots. This course can help you develop the skills necessary to build and customize AI-powered chatbots using Python and ChatGPT API. You will learn how to use NLP algorithms to improve the chatbot's performance and customer service.

See salaries and explore the career path for Natural Language Processing Engineer

Machine Learning Engineer

A Machine Learning Engineer develops and implements machine learning algorithms to solve business problems. They may also work on the natural language processing (NLP) and artificial intelligence (AI) algorithms that power chatbots. This course can help you develop the skills necessary to build and customize AI-powered chatbots using Python and ChatGPT API. You will learn how to use machine learning algorithms to improve the chatbot's performance and customer service.

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Software Engineer

A Software Engineer designs, develops, and maintains software applications. They may also work on the natural language processing (NLP) and artificial intelligence (AI) algorithms that power chatbots. This course can help you develop the skills necessary to build and customize AI-powered chatbots using Python and ChatGPT API. You will learn how to use software engineering principles to design and develop chatbots that are scalable, reliable, and secure.

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Product Manager

A Product Manager develops and manages products for businesses. They may also work on the natural language processing (NLP) and artificial intelligence (AI) algorithms that power chatbots. This course can help you develop the skills necessary to build and customize AI-powered chatbots using Python and ChatGPT API. You will learn how to manage and refine the chatbot's conversation flow, ensuring that it is aligned with customer service needs.

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User Experience Designer

A User Experience Designer designs and evaluates user interfaces for websites and other digital products. They may also work on the natural language processing (NLP) and artificial intelligence (AI) algorithms that power chatbots. This course can help you develop the skills necessary to design and evaluate user interfaces for chatbots. You will learn how to use natural language processing (NLP) and artificial intelligence (AI) to improve the chatbot's performance and customer service.

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Technical Writer

A Technical Writer creates and maintains technical documentation for software and other products. They may also work on the natural language processing (NLP) and artificial intelligence (AI) algorithms that power chatbots. This course can help you develop the skills necessary to write clear and concise documentation for chatbots. You will learn how to use natural language processing (NLP) and artificial intelligence (AI) to improve the chatbot's performance and customer service.

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Quantitative Analyst

A Quantitative Analyst develops and implements mathematical and statistical models to solve business problems. They may also work on the natural language processing (NLP) and artificial intelligence (AI) algorithms that power chatbots. This course can help you develop the skills necessary to build and customize AI-powered chatbots using Python and ChatGPT API. You will learn how to use quantitative analysis techniques to improve the chatbot's performance and customer service.

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Business Analyst

A Business Analyst analyzes business processes and develops solutions to improve efficiency and productivity. They may also work on the natural language processing (NLP) and artificial intelligence (AI) algorithms that power chatbots. This course can help you develop the skills necessary to build and customize AI-powered chatbots using Python and ChatGPT API. You will learn how to use business analysis techniques to improve the chatbot's performance and customer service.

See salaries and explore the career path for Business Analyst

Information Technology Manager

An Information Technology Manager plans and manages the information technology (IT) infrastructure of an organization. They may also work on the natural language processing (NLP) and artificial intelligence (AI) algorithms that power chatbots. This course can help you develop the skills necessary to build and customize AI-powered chatbots using Python and ChatGPT API. You will learn how to manage and refine the chatbot's conversation flow, ensuring that it is aligned with customer service needs.

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Project Manager

A Project Manager plans and manages projects from start to finish. They may also work on the natural language processing (NLP) and artificial intelligence (AI) algorithms that power chatbots. This course may help you develop the skills necessary to manage and refine the chatbot's conversation flow, ensuring that it is aligned with customer service needs.

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Salesforce Administrator

A Salesforce Administrator manages and configures the Salesforce CRM system for an organization. They may also work on the natural language processing (NLP) and artificial intelligence (AI) algorithms that power chatbots. This course may help you develop the skills necessary to build and customize AI-powered chatbots using Python and ChatGPT API. You will learn how to use Salesforce to manage and refine the chatbot's conversation flow, ensuring that it is aligned with customer service needs.

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Data Scientist

A Data Scientist develops and implements machine learning algorithms to solve business problems. They may also work on the natural language processing (NLP) and artificial intelligence (AI) algorithms that power chatbots. This course may help you develop the skills necessary to build and customize AI-powered chatbots using Python and ChatGPT API. You will learn how to use data science techniques to improve the chatbot's performance and customer service.

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Reading list

We've selected 13 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Customer Service with Python: Build a Chatbot using ChatGPT.

Kernels for Structured Data