Coursera

Duet AI in Google Docs (Coursera)

Offered by Google Cloud,
Duet AI in Google Docs (Coursera)

Duet AI in Google Workspace is an add-on that provides users with access to generative AI features. This course delves into the capabilities of Duet AI in Google Docs using video lessons, hands-on activities and practical examples. You learn how to use Duet AI to generate written content based on prompts. You also explore using Duet AI to edit text you’ve already written, helping you improve your overall productivity.

Class Deals by MOOC List - Click here and see Coursera's Active Discounts, Deals, and Promo Codes.

By the end of this course, you'll be equipped with the knowledge and skills to confidently utilize Duet AI in Google Docs to improve your writing.

What you'll learn

  • Use Duet AI to generate written content.
  • Use Duet AI to refine written content.
  • Proofread your document for spelling, grammar, style, and word choice by using Duet AI.

Syllabus

Duet AI in Google Docs
Duet AI in Workspace is an add-on that provides customers with generative AI features in Google Workspace. In this mini-course, you learn about the key features of Duet AI and how they can be used to improve productivity and efficiency in Google Workspace.

Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

Human Factors in AI (Coursera) Coursera
Duke University

Human Factors in AI (Coursera)

Data Science

This third and final course of the AI Product Management Specialization by Duke University's Pratt School of Engineering focuses on the critical human factors in developing AI-based products. The course begins with an introduction to human-centered design and the unique elements of user experience design for AI products.

Jun 8th 2026
4 Weeks
Artificial Intelligence Ethics Data Privacy
Details
AI Capstone Project with Deep Learning (Coursera) Coursera
IBM

AI Capstone Project with Deep Learning (Coursera)

Data Science

In this capstone, learners will apply their deep learning knowledge and expertise to a real world challenge. They will use a library of their choice to develop and test a deep learning model. They will load and pre-process data for a real problem, build the model and validate it. Learners will then present a project report to demonstrate the validity of their model and their proficiency in the field of Deep Learning.

Jun 8th 2026
4 Weeks
Artificial Intelligence Machine Learning Knowledge
Details
Big Data Analytical Platform on Alibaba Cloud (Coursera) Coursera
Alibaba Cloud Academy

Big Data Analytical Platform on Alibaba Cloud (Coursera)

CS: Information & Technology

Building an Analytical Platform on Alibaba Cloud can empower how you take in, analyze, and demonstrate clear metrics from a set of Big Data. This course is designed to teach engineers how to use Alibaba Cloud Big Data products. It covers basic distributed system theory and Alibaba Cloud's core products like MaxCompute, DataWorks, E-MapReduce as well as a bundle of ecosystem tools.

Jun 8th 2026
5-12 Weeks
Artificial Intelligence SQL Big Data
Details
Comportamiento adaptativo (Coursera) Coursera
Universidad Nacional Autónoma de México

Comportamiento adaptativo (Coursera)

Computer Science

Los seres vivos han evolucionado en entornos cambiantes, por lo que han desarrollado mecanismos que les permiten exhibir comportamiento adaptativo. Usando el método sintético, podemos construir sistemas artificiales adaptativos que implementen dichos mecanismos, con lo cual también podemos incrementar nuestra comprensión de los sistemas naturales.

Jun 8th 2026
4 Weeks
Artificial Intelligence Cybernetics Adaptation
Details
AI Workflow: Machine Learning, Visual Recognition and NLP (Coursera) Coursera
IBM

AI Workflow: Machine Learning, Visual Recognition and NLP (Coursera)

Data Science

This is the fourth course in the IBM AI Enterprise Workflow Certification specialization. You are STRONGLY encouraged to complete these courses in order as they are not individual independent courses, but part of a workflow where each course builds on the previous ones. Course 4 covers the next stage of the workflow, setting up models and their associated data pipelines for a hypothetical streaming media company.

Jun 8th 2026
2 Weeks
Artificial Intelligence NLP Machine Learning
Details
Scalable Machine Learning on Big Data using Apache Spark (Coursera) Coursera
IBM

Scalable Machine Learning on Big Data using Apache Spark (Coursera)

Data Science

This course will empower you with the skills to scale data science and machine learning (ML) tasks on Big Data sets using Apache Spark. Most real world machine learning work involves very large data sets that go beyond the CPU, memory and storage limitations of a single computer. Apache Spark is an open source framework that leverages cluster computing and distributed storage to process extremely large data sets in an efficient and cost effective manner. Therefore an applied knowledge of working with Apache Spark is a great asset and potential differentiator for a Machine Learning engineer.

Jun 8th 2026
4 Weeks
Artificial Intelligence Machine Learning Big Data
Details
The AI Ladder: A Framework for Deploying AI in your Enterprise (Coursera) Coursera
IBM

The AI Ladder: A Framework for Deploying AI in your Enterprise (Coursera)

Management & Leadership Business

This course is intended for business and technical professionals involved in strategic decision-making focused on bringing AI into their enterprises. Through the use of a conceptual model called “The AI Ladder”, participants in this course will learn the requirements, terms and concepts associated with successfully developing and deploying AI solutions in their enterprises.

Jun 8th 2026
1 Week
Innovation Management Artificial Intelligence
Details
Artificial Intelligence in Marketing (Coursera) Coursera
University of Virginia

Artificial Intelligence in Marketing (Coursera)

Marketing & Communication Business

AI is everywhere! By harnessing the power of Artificial Intelligence, businesses and marketers have amazing growth potential, and the opportunities to enhance marketing with AI are always expanding. But how can businesses use AI tools to drive their success and gain sustainable competitive advantages? What are the challenges faced by businesses as they implement AI into their marketing strategies? In this course, developed at the Darden School of Business at the University of Virginia, and delivered by Professor of Business Administration Raj Venkatesan, you will explore an important frontier of digital transformation in marketing.

Jun 8th 2026
4 Weeks
Business Marketing Artificial Intelligence
Details
New Technologies for Business Leaders (Coursera) Coursera
Rutgers University

New Technologies for Business Leaders (Coursera)

Marketing & Communication Business

This introductory course is developed for high-level business people (and those on their way) who want a broad understanding of new Information Technologies and understand their potential for business functions (e.g. marketing, supply change management, finance). This is not a course for people looking for guidance on how to become a deep technical expert or implement these technologies.

Jun 8th 2026
5-12 Weeks
Business Artificial Intelligence Big Data
Details