ChatGPT + Zapier: From Email Inbox to Excel Spreadsheet
This course is part of ChatGPT + Zapier: AI-Powered Email Mastery.
This beginner-friendly course teaches you how to create powerful automations that extract structured information from emails and organize it into spreadsheets without manual data entry. You'll learn to build Zapier workflows ("Zaps") that connect your email inbox with ChatGPT and various applications like Google Sheets to automate tedious data collection tasks. The course introduces the Historical Log Pattern for transforming email content into structured spreadsheet rows and demonstrates effective prompt engineering techniques to extract specific data types like dates, amounts, vendors, and categories. You'll explore how to use Code by Zapier with JavaScript to parse and format ChatGPT's responses for seamless integration with different apps. Throughout the course, you'll follow practical examples such as expense tracking, action item collection, and customer feedback monitoring. By the end, you'll be able to create customizable automation workflows that can be tailored to various business needs, from project management to CRM updates, saving time and reducing manual data entry. While the course focuses on Gmail and Google Sheets, the skills you'll learn can be applied to thousands of other apps supported by Zapier's ecosystem.
Instructors:
English
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What you'll learn
Build automated workflows that extract structured data from emails using ChatGPT and Zapier
Implement the Historical Log Pattern to convert email information into spreadsheet rows
Create effective prompts that instruct ChatGPT to identify specific data elements like dates, amounts, and categories
Use Code by Zapier with JavaScript to parse and format ChatGPT's responses
Connect email providers with spreadsheet applications for seamless data transfer
Customize automation workflows for different scenarios such as expense tracking and task management
Skills you'll gain
This course includes:
0.8 Hours PreRecorded video
1 assignment
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate
Get a Completion Certificate
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There is 1 module in this course
This practical course teaches professionals how to automate the extraction of structured data from emails using ChatGPT and Zapier. The curriculum begins with an overview of how generative AI can transform unstructured email content into organized spreadsheet entries. Students learn about the Historical Log Pattern, which provides a framework for converting email information into structured spreadsheet rows. The course covers prompt engineering techniques for instructing ChatGPT to identify and extract specific types of information such as expenses, action items, dates, and categories. After introducing Zapier's automation capabilities, students learn to build complete workflows that connect email services, ChatGPT, and spreadsheet applications. The course includes practical JavaScript code examples for processing ChatGPT's output and formatting it for spreadsheet entry. Throughout the module, hands-on instructions guide learners in creating real-world automations for expense tracking, task management, and customer feedback collection, culminating in a final project where students build their own email-to-spreadsheet automation.
From Email Inbox to Spreadsheet Entry with ChatGPT and Zapier
Module 1 · 2 Hours to complete
Fee Structure
Individual course purchase is not available - to enroll in this course with a certificate, you need to purchase the complete Professional Certificate Course. For enrollment and detailed fee structure, visit the following: ChatGPT + Zapier: AI-Powered Email Mastery
Instructor
Professor of Computer Science at Vanderbilt University
Dr. Jules White is a Professor of Computer Science at Vanderbilt University, where he also serves as the Director of the Initiative on the Future of Learning & Generative AI and the Associate Dean of Strategic Learning Programs in the School of Engineering. He is recognized for creating one of the first online courses in Prompt Engineering, which focuses on effective communication with AI systems. A recipient of the National Science Foundation CAREER Award, Dr. White has published over 160 papers and has received multiple Best Paper Awards for his research. His work primarily explores large language models, including ChatGPT, as well as topics in cybersecurity and software engineering across various sectors such as healthcare and manufacturing. He leads the Mobile Application Computing, Optimization, and Security Methods (MAGNUM) Group at Vanderbilt University, where he conducts his research and development efforts.
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