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Gemini in Google Meet

Google Cloud Training

Unlock the power of Gemini in Google Meet. Learn to generate background images, enhance video quality, and translate captions for more effective video conferences.

What's inside

Syllabus

Gemini for Google Workspace is an add-on that provides customers with generative AI features in Google Workspace. In this learning path, you learn about the key features of Gemini in Google Meet.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Teaches learners to use generative AI features in Google Meet
Enhances video quality and translates captions for more effective video conferences
Helps learners unlock the power of Gemini in Google Meet
Is an add-on that provides customers with generative AI features in Google Workspace
Is offered through the provider Udacity
May require learners to have access to Google Meet

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Activities

Coming soon We're preparing activities for Gemini in Google Meet. These are activities you can do either before, during, or after a course.

Career center

Learners who complete Gemini in Google Meet will develop knowledge and skills that may be useful to these careers:
Cloud Engineer
Cloud Engineers are responsible for designing, deploying, and maintaining cloud computing systems. This course may be useful for Cloud Engineers who are interested in learning more about how generative AI can be used to improve cloud computing. Specifically, this course covers how Gemini can be used to generate background images, enhance video quality, and translate captions.
Database Administrator
Database Administrators are responsible for managing and maintaining databases. This course may be useful for Database Administrators who are interested in learning more about how generative AI can be used to improve database management. Specifically, this course covers how Gemini can be used to translate captions.
Web Developer
Web Developers are responsible for designing, developing, and maintaining websites. This course may be useful for Web Developers who are interested in learning more about how generative AI can be used to improve website design and development. Specifically, this course covers how Gemini can be used to generate background images and enhance video quality.
Information Security Analyst
Information Security Analysts are responsible for protecting computer networks and systems from unauthorized access. This course may be useful for Information Security Analysts who are interested in learning more about how generative AI can be used to improve security. Specifically, this course covers how Gemini can be used to enhance video quality.
Data Analyst
Data Analysts are responsible for collecting, cleaning, and analyzing data. This course may be useful for Data Analysts who are interested in learning more about how generative AI can be used to improve data analysis. Specifically, this course covers how Gemini can be used to translate captions and enhance video quality.
Technical Writer
Technical Writers are responsible for creating documentation for software applications and other technical products. This course may be useful for Technical Writers who are interested in learning more about generative AI and how it can be used to improve technical documentation. Specifically, this course covers how Gemini can be used to translate captions.
Marketing Manager
Marketing Managers are responsible for developing and executing marketing campaigns. This course may be useful for Marketing Managers who are interested in learning more about how generative AI can be used to improve marketing campaigns. Specifically, this course covers how Gemini can be used to generate background images and enhance video quality.
Software Developer
Software Developers are responsible for designing, implementing, and maintaining software applications. This course may be useful for Software Developers who are interested in learning more about generative AI and how it can be used to improve software applications. Specifically, this course covers how Gemini can be used to generate background images, enhance video quality, and translate captions.
Business Analyst
Business Analysts work with stakeholders to determine business needs and to optimize processes. This course may be useful for Business Analysts who are interested in learning more about how generative AI can be used to improve video conferencing. By gaining knowledge of Gemini's capabilities, Business Analysts may be better equipped to make recommendations for how to improve video conferencing experiences for their clients.
Computer Vision Engineer
Computer Vision Engineers work on projects involving image analysis and processing. This course may be useful for Computer Vision Engineers as it covers how Gemini can be used to generate background images and enhance video quality. By learning about these features, Computer Vision Engineers may be able to gain insight into new applications for their work.
Product Manager
Product Managers often work with UX Researchers to determine user needs. This course may be useful for Product Managers who are curious about how generative AI can be integrated into products. By gaining knowledge of Gemini's capabilities, Product Managers may be better equipped to prioritize features that users find valuable.
Data Scientist
Data Scientists are able to extract actionable insights from large datasets. This course may be useful for Data Scientists who wish to learn more about the applications of generative AI and how it can enhance their work. Specifically, this course may provide insight into how generative AI can be used to create background images, enhance video quality, and translate captions.
Artificial Intelligence Specialist
Artificial Intelligence Specialists are tasked with the research and implementation of AI tools across many applications. This course may be useful for those new to the field of AI by providing them with a concrete example of generative AI. Those already in the field may also benefit from learning more about Gemini's capabilities and how they can be used in novel applications.
UX Researcher
UX Researchers are often tasked with determining user needs and how software can aid them. As Gemini is a tool that directly benefits users of Google Meet, UX Researchers may benefit from the knowledge of Gemini's features. By gaining this knowledge through this course, UX Researchers may be able to gain insight into user needs and how Gemini can best meet those needs.
Computer Software Engineer
Computer Software Engineers help to build a foundation for generative AI tools like Gemini. Without these engineers, there would be no tools to build upon or to integrate into Google Workspace applications like Google Meet. This course may be useful in helping Computer Software Engineers understand how to adapt to and integrate new AI technology into their work. For Computer Software Engineers who plan on working in a similar field, this course can help prepare them for the eventual widespread integration of generative AI into the workplace.

Reading list

We've selected 15 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 Google Meet.
Provides a broader perspective on the impact of AI in various industries. By exploring real-world case studies, you'll gain insights into the potential of AI to enhance productivity and efficiency in business operations, including video conferencing.
Offers a technical foundation in deep learning for natural language processing, which underlies Gemini's capability for generating background images and translating captions. By understanding the underlying algorithms and techniques, you can appreciate the complexity and effectiveness of AI in video conferencing.
Showcases the practical applications of AI across industries. By exploring case studies and examples, you'll gain insights into how AI is revolutionizing various aspects of business, including communication and collaboration.
Provides a theoretical background in data science, covering fundamental concepts of probability, statistics, and optimization. This knowledge is beneficial for understanding the statistical models and algorithms used in Gemini's AI capabilities.
Offers a practical guide to natural language processing techniques in Python. Given Gemini's use of NLP for caption translation, this book provides hands-on experience and insights into this aspect of AI.
Covers the fundamentals of reinforcement learning, an important branch of AI involved in optimizing decision-making. While Gemini does not explicitly use reinforcement learning, understanding these concepts provides a broader perspective on the field of AI.
Examines the characteristics of successful organizations in the digital age and provides insights into how to adapt to rapid technological change.
Provides a comprehensive overview of computer vision algorithms and techniques. While not directly related to Gemini's applications, it offers a foundation for understanding the broader field of AI and its potential in various domains.
Offers a comprehensive introduction to deep learning concepts and architectures. While it doesn't focus on specific applications like Gemini, it provides a solid foundation for understanding the theoretical underpinnings of AI and its potential.
Provides a practical guide to AI and machine learning for software developers. While it doesn't cover Gemini specifically, it offers a hands-on approach to implementing AI solutions, which can be beneficial for understanding the practical aspects of AI development.
Offers a comprehensive guide to data science using R. Similar to Python for Data Analysis, it provides a foundation for data manipulation and analysis techniques, which are essential for working with data in AI applications.
Offers a comprehensive guide to data analysis using Python. While not directly related to Gemini, it provides a foundation for understanding data manipulation and analysis techniques, which are essential for working with data in AI applications.

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