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Gemini for Google Workspace is an add-on that provides customers with generative AI features in Google Workspace.

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Gemini for Google Workspace is an add-on that provides customers with generative AI features in Google Workspace.

Gemini for Google 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 Gemini and how they can be used to improve productivity and efficiency in Gmail.

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What's inside

Syllabus

Gemini in Gmail

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Suitable for learners who work with Google Workspace and seek to enhance productivity through generative AI features

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Save Gemini in Gmail to your list so you can find it easily later:
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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 Gemini in Gmail with these activities:
Seek mentorship from experienced Gemini users
Gain valuable insights and guidance from individuals who have successfully implemented Gemini in Gmail.
Browse courses on Mentorship
Show steps
  • Identify potential mentors who have expertise in using Gemini in Gmail.
  • Reach out to potential mentors and request their guidance.
Create a workflow automation using Gemini in Gmail
Gain practical experience in using Gemini in Gmail to streamline workflows and enhance productivity.
Browse courses on Workflow Automation
Show steps
  • Identify a repetitive email-based task that can be automated.
  • Use Gemini to create a workflow that automates the task.
  • Test the workflow and make adjustments as needed.
Develop a presentation on the benefits of using Gemini in Gmail
Reinforce your understanding of Gemini in Gmail by presenting its benefits to others.
Browse courses on Presentation Skills
Show steps
  • Gather information about the features and benefits of Gemini in Gmail.
  • Create a presentation outline.
  • Develop presentation slides.
  • Rehearse the presentation.
Show all three activities

Career center

Learners who complete Gemini in Gmail will develop knowledge and skills that may be useful to these careers:
Machine Learning Engineer
Machine Learning Engineers design, develop, and deploy machine learning models. They also work to maintain and improve the performance of these models. This course will help you build a foundation in AI. This could help you as you begin a career as a Machine Learning Engineer.
Content Strategist
Content Strategists help organizations such as businesses, non-profits, and governments create content like web pages, articles, social media posts, and videos to connect with their audience. To be successful in this career, it is important to develop a strong understanding of artificial intelligence (AI) tools. Taking this course will help you understand how to use these tools to create engaging and effective content. Indeed, this course will provide hands-on practice to help you put your knowledge to work.
Digital Marketing Manager
Digital Marketing Managers plan and execute marketing campaigns across various digital channels. To be successful you need to be able to use AI tools to automate tasks, gain insights into customer behavior, and create effective campaigns. This course will give you hands-on practice using AI in digital marketing.
Data Analyst
Data Analysts support decision-making by collecting, cleaning, and analyzing data. They also create reports and visualizations to communicate insights to stakeholders. This course will provide you with the skills you need to use AI tools to automate data analysis tasks. This may allow you to gather more accurate insights in less time.
Technical Writer
Technical Writers create documentation for software, hardware, and other technical products. They also work with engineers and other technical professionals to ensure that documentation is accurate and easy to understand. This course will help you to develop your technical writing skills and your understanding of AI. This may make you more effective and efficient in this role.
Systems Analyst
Systems Analysts design, develop, and implement computer systems. They also work with users to ensure that systems meet their needs. This course will help you to build a foundation in AI and strengthen your systems analysis skills.
User Experience (UX) Designer
UX Designers design and evaluate user interfaces for websites, mobile apps, and other digital products. They also work with engineers and other designers to ensure that products are user-friendly and meet the needs of users. This course may help you understand how to apply AI in this role.
Project Manager
Project Managers plan, execute, and close projects. They also work with stakeholders to ensure that projects are completed on time, within budget, and to the required quality standards. This course can help you to develop your project management skills and learn more about AI. This knowledge may become increasingly valuable as you progress in your career.
Salesforce Administrator
Salesforce Administrators manage and customize Salesforce software for their organizations. They also work with users to ensure that they are using the software effectively. This course will help you to learn more about Salesforce and better serve your organization in this role.
Software Engineer
Software Engineers design, develop, and maintain software applications. They also work with other engineers to ensure that software is efficient, reliable, and secure. This course may help you with some of the programming tasks you may encounter in this role.
Web Developer
Web Developers design, develop, and maintain websites. They also work with other professionals to ensure that websites are functional, reliable, and secure. This course can help you to develop the skills you need to build websites and web applications.
Product Manager
Product Managers are responsible for the development and launch of new products. They work with engineers, designers, and marketers to bring products to market. This course will help you understand how to use AI tools to gather customer insights, develop product roadmaps, and manage product development. This may accelerate your progress as you begin a Product Manager career.

Reading list

We've selected nine 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 Gemini in Gmail.
Provides a comprehensive overview of natural language processing, covering the theoretical foundations of natural language processing, as well as their practical applications in a variety of tasks such as text classification, question answering, and machine translation.
Provides a comprehensive overview of speech and language processing, covering the theoretical foundations of speech and language processing, as well as their practical applications in a variety of tasks such as speech recognition, natural language understanding, and machine translation.
Provides a comprehensive overview of machine learning for text, covering the theoretical foundations of machine learning for text, as well as their practical applications in a variety of tasks such as text classification, question answering, and machine translation.
Provides a comprehensive overview of deep learning for natural language processing, covering the theoretical foundations of deep learning for natural language processing, as well as their practical applications in a variety of tasks such as text classification, question answering, and machine translation.
Provides a non-technical introduction to AI, covering the history of AI, the different types of AI, and the ways in which AI is being used to solve real-world problems.
Provides a comprehensive introduction to deep learning, covering the theoretical foundations of deep learning, as well as their practical applications in a variety of tasks such as image classification, object detection, and natural language processing.
Provides a comprehensive overview of computational linguistics, covering the theoretical foundations of computational linguistics, as well as their practical applications in a variety of tasks such as natural language processing, machine translation, and speech recognition.
Provides a comprehensive overview of statistical natural language processing, covering the theoretical foundations of statistical natural language processing, as well as their practical applications in a variety of tasks such as text classification, question answering, and machine translation.
Provides a comprehensive overview of the potential benefits and challenges of AI, covering the ways in which AI is likely to impact our lives in the coming years.

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