Build your own Chatbot using Python, ChatGPT & WhatsApp from Udemy

The ChatGPT API is one of the most powerful language processing (NLP) tools available today. With its advanced algorithms and state-of-the-art language models, it provides a wealth of capabilities for developers looking to build custom applications that require natural language processing. In this course, you will learn how to harness the full power of ChatGPT and integrate it into your own projects. Everyday more and more AI based tools are coming up to the market so it's important to learn how to use them the best we can. May this be your first step towards it. :)

We'll start by exploring the basics of the ChatGPT API, including how it works and what types of applications it can be used for. From there, we'll dive into the technical details of integrating ChatGPT into your own projects, covering everything from setup and authentication to building and testing your own custom applications.

In this course, you'll learn to code on VBA and google script so to have a ChatGPT based tool from within your spreadsheets as the firsts projects and thenthe end of the course, ywe will proceed to code (on Python) our very own ChatGPT based ChatBot on WhatsApp.

I'm very exited for this course and I hope to see you inside.

What's inside

Learning objectives

Chatgpt
Artificial intelligence
Ai
Python
Google sheets

Automatic data entry via ai
Flask
Ngrok
Create a chatbot using twilio

Chatgpt
Artificial intelligence
Ai
Python
Google sheets
Automatic data entry via ai
Flask
Ngrok
Create a chatbot using twilio

Syllabus

Signing up to openai.com

Singning up to openai.com

Introduction

What to and what not to expect from the course

Traffic lights

Read about what's good

what should give you pause

and possible dealbreakers

Explores the ChatGPT API, which is a leading tool for natural language processing and building custom applications

Teaches how to build a chatbot using Python, Flask, and the OpenAI library, which are valuable skills for software development

Covers using Google Scripts to build functions that can automatically return answers from ChatGPT within Google Sheets, which enhances productivity

Culminates in building a WhatsApp chatbot using Python, ChatGPT, Flask, and the OpenAI library, which provides a practical application of the learned skills

Requires learners to code in VBA and Google Script, which may require familiarity with these environments

Requires configuring Twilio to send messages to a Flask application, which may involve additional setup and costs

Reviews summary

Practical python chatbot with chatgpt & whatsapp

According to the course structure and objectives, learners interested in building practical applications using modern AI may find value in this course. The syllabus suggests a focus on integrating the positive">ChatGPT API with Python to create a WhatsApp chatbot, which is a compelling real-world project. The course appears to cover key steps from neutral">API setup to conversation memory persistence. However, the inclusion of modules on warning">VBA and Google Script for spreadsheet integration alongside the main Python/Flask content could be perceived as disjointed or less relevant by some students primarily interested in the chatbot build.

May involve complex service configuration.

"Setting up Twilio and Ngrok tunnels can sometimes be tricky depending on instructions."

"Need to be prepared for configuring external services for the final project."

"The syllabus mentions setup steps, hoping they are clear and easy to follow."

Uses current AI and web tools.

"Learning to work with the ChatGPT API is exactly what I was looking for."

"Using Flask and Twilio for the chatbot integration is a solid approach."

"Glad to see modern tools like Ngrok included for testing."

Builds a functional chatbot project.

"The goal of building a WhatsApp chatbot with ChatGPT is very exciting and practical."

"I like that the course focuses on a hands-on project using popular technologies."

"Seems like you'll actually build something useful you can show off."

Includes diverse, potentially unrelated tech.

"The jump from Python/Flask to VBA and Google Script felt a bit random."

"I signed up for a chatbot course, not spreadsheet automation."

"Wish the focus was solely on the Python/AI/messaging part without the VBA/GS detour."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Build your own Chatbot using Python, ChatGPT & WhatsApp with these activities:

Review Python Fundamentals

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Strengthen your Python foundation to better understand the chatbot's Python code.

Browse courses on Python Basics

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Review basic Python syntax and data structures.
Practice writing simple Python functions.
Work through online Python tutorials.

Read 'Automate the Boring Stuff with Python'

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Learn practical Python skills applicable to chatbot development.

View Automate the Boring Stuff with Python, 3rd... on Amazon

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Read the chapters on web scraping and working with APIs.
Try the exercises at the end of each chapter.

Follow a Flask Tutorial

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Gain hands-on experience with Flask, the Python web framework used in the course.

Show steps

Find a beginner-friendly Flask tutorial online.
Set up a basic Flask application.
Implement a simple route and view.

Four other activities

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Practice String Manipulation in Python

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Sharpen your string manipulation skills, essential for processing user input in a chatbot.

Show steps

Solve string manipulation challenges on platforms like HackerRank or LeetCode.
Practice using string methods like `split()`, `join()`, and `replace()`.

Build a Simple Command-Line Chatbot

Show steps

Apply your knowledge by building a basic chatbot that interacts with users through the command line.

Show steps

Design the chatbot's basic functionality.
Implement the chatbot using Python.
Test and refine the chatbot's responses.

Read 'Natural Language Processing with Python'

Show steps

Deepen your understanding of NLP concepts to improve your chatbot's capabilities.

View Natural Language Processing with Python:... on Amazon

Show steps

Read the chapters on text processing and information extraction.
Experiment with the NLTK library.

Contribute to a Chatbot Project on GitHub

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Gain practical experience by contributing to an existing chatbot project.

Show steps

Find a chatbot project on GitHub.
Identify a bug or feature to work on.
Submit a pull request with your changes.

Career center

Learners who complete Build your own Chatbot using Python, ChatGPT & WhatsApp will develop knowledge and skills that may be useful to these careers:

Chatbot Developer

A chatbot developer creates conversational interfaces using software. This course offers a direct and practical approach to developing chatbots. You will gain hands-on experience using the ChatGPT API and Python to build a working chatbot, including one integrated with WhatsApp. The course will teach you about setting up your server, handling messages, and managing conversational context. Learning about libraries like Python's OpenAI library will allow you to work with NLP models effectively. This course provides the foundation you need to start building your own sophisticated bots. This course's focus on end-to-end development is ideal for an aspiring chatbot developer.

See salaries and explore the career path for Chatbot Developer

AI Engineer

An AI Engineer focuses on developing and implementing artificial intelligence solutions. This course will be directly useful, because it introduces you to the ChatGPT API, a powerful tool for creating AI applications. You will learn to use AI models and integrate them into various projects. Furthermore, the course will show you how to create a chatbot, a vital component in many AI applications. Working through practical projects in Python, the course will help you build a foundation in natural language processing which is highly relevant for an AI Engineer. The course's focus on integrating AI into real-world projects will be beneficial to anyone seeking to become an AI Engineer.

See salaries and explore the career path for AI Engineer

Software Developer

A software developer builds and maintains applications, and this course helps in several ways. You will learn to use APIs like the ChatGPT API, which is increasingly important for modern applications. This course will guide you through setting up and authenticating API connections. You will also learn to code in Python, a core language for many software development tasks, and build custom applications, including a chatbot project. This course will show how to integrate natural language processing into various software applications. The hands-on approach in this course is directly applicable to a developer's daily work.

See salaries and explore the career path for Software Developer

API Integration Specialist

An API integration specialist focuses on connecting different software systems using APIs. This course extensively covers the integration of the ChatGPT API into your projects. You will learn how to set up and authenticate API connections using Python and how to manage data exchange between different applications. The course covers the use of libraries to send messages to external APIs, and it'll guide you through the process of building a chatbot that relies heavily on API integration. This course’s focus on the practical application of APIs makes it highly relevant to anyone wishing to become an API integration specialist.

See salaries and explore the career path for API Integration Specialist

Automation Specialist

An automation specialist is pivotal in streamlining workflows through technology, and this course is highly relevant. This course guides you to use AI for tasks, like automatic data entry, using AI through Google Sheets and VBA macros in Excel. The course will cover practical methods for automating responses and data classification using ChatGPT, skills that an automation specialist utilizes daily. The experience gained creating a chatbot within this course is useful in automating customer interactions and providing support. The focus on practical application of AI makes this course highly relevant for someone wishing to become an automation specialist.

See salaries and explore the career path for Automation Specialist

Technology Entrepreneur

A technology entrepreneur identifies new tech opportunities and builds ventures. This course provides a hands-on understanding of modern technology with AI and chatbot development. You will learn to build a chatbot from the ground up using APIs such as the ChatGPT API. The understanding of current AI technologies and software development you gain in this course is a benefit for a technology entrepreneur. The practical skills provided in this course may serve as a useful starting point for developing your own technology project.

See salaries and explore the career path for Technology Entrepreneur

Natural Language Processing Engineer

A natural language processing engineer works with the development and implementation of NLP systems. This course directly engages with NLP through the ChatGPT API. You will learn to leverage NLP models for various tasks, including building a functional chatbot. This course will teach you how to integrate NLP into real-world applications, offering practical experience in using Python and related libraries. The course will also cover important concepts like handling conversational context and managing communication with external services. If you want to become a natural language processing engineer, this course may be useful.

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

Solutions Architect

A solutions architect designs and oversees implementation of software solutions. This course helps in understanding how to build AI applications from the ground up. This course will give you a solid foundation in working with the ChatGPT API, and integrating it into various systems. You will learn how to create a chatbot, a common use of AI. The course provides insights into leveraging AI for automation, and to solve business problems. This experience will be valuable for a solutions architect. If you're interested in becoming a solutions architect, this course may be useful.

See salaries and explore the career path for Solutions Architect

Technical Consultant

A technical consultant assesses and advises on technological solutions. This course helps build a foundation to advise on AI-driven solutions. You will gain practical experience using the ChatGPT API and integrating it into various applications. The course will guide you in how to implement chatbots, a popular form of AI. Furthermore, you will learn to automate process workflows using AI, which is a growing demand with many companies. This course provides you with working knowledge of how AI can benefit clients, and this will be useful for a technical consultant.

See salaries and explore the career path for Technical Consultant

Application Developer

An application developer designs and builds software applications for various platforms. This course helps build your understanding of current AI methods. You will gain experience using the ChatGPT API and integrating it into an application using Python. The course focuses on practical application development, which is core to this role. You will also learn how to automate processes using AI, which will be useful. If you're planning to be an application developer, some aspects of this course may be useful.

See salaries and explore the career path for Application Developer

AI Product Manager

An AI product manager oversees the development and launch of AI products. This course may be useful for gaining insight into how AI can be applied practically. You'll learn about the capabilities of the ChatGPT API and use Python to build an application. In addition, you will learn how to create a chatbot, a common AI product. This course provides a working understanding of AI development lifecycle and its practical applications. If you are interested in becoming an AI product manager, this course may be useful.

See salaries and explore the career path for AI Product Manager

Data Analyst

A data analyst interprets and analyzes data to provide insights. This course will be helpful in exploring how AI can benefit data analysis. You will learn to use ChatGPT to explore trends. This course also integrates AI tools into your spreadsheet workflow and automate tasks like entering data, using Google Scripts and VBA. The course provides hands-on experience with practical data manipulation using AI. If you want to become a data analyst this course may be useful.

See salaries and explore the career path for Data Analyst

Machine Learning Engineer

A machine learning engineer builds and deploys machine learning models. This course may be useful in introducing you to the use of large language models through the ChatGPT API. This course will teach you how to integrate these models into practical projects, learn about model parameters, and see how to use AI models effectively in applications. You will learn fundamentals concepts in Python for working with AI models. If you are interested in becoming a machine learning engineer, this course may be useful.

See salaries and explore the career path for Machine Learning Engineer

Data Scientist

A data scientist uses data to make predictions, and this course may be useful to see how AI tools can be integrated into data science workflows. You will learn to use ChatGPT for data analysis tasks. The course covers how to automate data entry using AI in Google Sheets and Excel and use it for insights. This course covers practical data analysis using AI. If you seek a role as a data scientist, this course may be helpful.

See salaries and explore the career path for Data Scientist

Research Scientist

A research scientist investigates scientific questions and this course can offer foundational knowledge in AI. You will learn to use the ChatGPT API and integrate it into practical tasks and projects. The course covers the application of AI methods and their practical implementation. This knowledge is useful for analyzing data and developing new methods. Those interested in becoming a research scientist may find this course helpful.

See salaries and explore the career path for Research Scientist

Reading list

We've selected two 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 Build your own Chatbot using Python, ChatGPT & WhatsApp.

Automate the Boring Stuff with Python, 3rd Edition

Save

Provides a practical introduction to Python programming with a focus on automating everyday tasks. It covers topics like web scraping, working with Excel spreadsheets, and sending email, which are relevant to building a chatbot. While not directly about chatbots, it builds a strong foundation in Python and automation. It is commonly used as a textbook for introductory Python courses.

Automate the Boring Stuff with Python, 3rd Edition

Kindle Edition

Natural Language Processing with Python

Save

Provides a comprehensive introduction to natural language processing (NLP) using Python and the NLTK library. While the course focuses on ChatGPT, understanding the fundamentals of NLP can enhance your chatbot development skills. This book is more valuable as additional reading to provide a deeper understanding of the underlying concepts. It is commonly used as a textbook at academic institutions.

Natural Language Processing with Python: Analyzing...

Paperback

$$$

Natural Language Processing with Python: Analyzing...

Kindle Edition

Build your own Chatbot using Python, ChatGPT & WhatsApp

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What's inside

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Reviews summary

Practical python chatbot with chatgpt & whatsapp

Activities

Career center

Reading list

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