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Google Cloud
This short course on integrating applications with Gemini 1.0 Pro models on Google Cloud helps you discover the Gemini API and its generative AI models.
This short course on integrating applications with Gemini 1.0 Pro models on Google Cloud helps you discover the Gemini API and its generative AI models. The course teaches you how to access the Gemini 1.0 Pro and Gemini 1.0 Pro Vision models from code. It lets you test the capabilities of the models with text, image, and video prompts from an app.
Register for this course and see more details by visiting:
OpenCourser.com/course/fh2tve/integrating
What's inside
Syllabus
Integrating Applications with Gemini 1.0 Pro on Google Cloud
Course Resources
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Provides a solid foundation for exploring use cases for Google Cloud's Gemini API and its generative AI models
Uses version 2022 or later of all software taught in this course
Taught by Google Cloud who have strong expertise in generative AI models
Suitable for learners with beginner to intermediate experience with generative AI models and Google Cloud
Employs interactive hands-on labs to reinforce concepts learned
Part of a series of courses on generative AI models, offering a comprehensive learning experience
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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 Integrating Applications with Gemini 1.0 Pro on Google Cloud with these
activities:
Organize your notes, assignments, quizzes, and exams
Show steps
Organize your course materials for easier access and better retention, ensuring that you have a comprehensive and well-structured record of your learning journey.
Show steps
-
Create a dedicated folder or digital space for your course materials.
-
Categorize and label your notes, assignments, quizzes, and exams.
-
Review and summarize your materials to reinforce your understanding.
Practice with the Gemini API
Show steps
Engage with the Gemini API through hands-on practice, making its functionality more familiar and solidifying your understanding.
Show steps
-
Explore the Gemini API documentation and familiarize yourself with its endpoints and parameters.
-
Set up a development environment and install the necessary libraries to interact with the API.
-
Write code to make API calls and test different request parameters to observe the API's responses.
-
Experiment with different prompts, text, images, and videos to understand how they influence the results.
Show all two activities
Organize your notes, assignments, quizzes, and exams
Show steps
Organize your course materials for easier access and better retention, ensuring that you have a comprehensive and well-structured record of your learning journey.
Show steps
Show steps
Show steps
- Create a dedicated folder or digital space for your course materials.
- Categorize and label your notes, assignments, quizzes, and exams.
- Review and summarize your materials to reinforce your understanding.
Practice with the Gemini API
Show steps
Engage with the Gemini API through hands-on practice, making its functionality more familiar and solidifying your understanding.
Show steps
Show steps
Show steps
- Explore the Gemini API documentation and familiarize yourself with its endpoints and parameters.
- Set up a development environment and install the necessary libraries to interact with the API.
- Write code to make API calls and test different request parameters to observe the API's responses.
- Experiment with different prompts, text, images, and videos to understand how they influence the results.
Show all two activities
Career center
Learners who complete Integrating Applications with Gemini 1.0 Pro on Google Cloud will develop knowledge and skills
that may be useful to these careers:
Cloud Engineer
Cloud Engineer
This course may be helpful for a Cloud Engineer who needs to deploy and manage Gemini 1.0 Pro on Google Cloud. The course covers integrating applications with Gemini 1.0 Pro on Google Cloud. Cloud Engineers need to have the skills necessary to deploy and manage Gemini 1.0 Pro.
Systems Engineer
Systems Engineer
This course may be helpful for a Systems Engineer who needs to integrate Gemini 1.0 Pro with other applications and systems. The course covers integrating applications with Gemini 1.0 Pro on Google Cloud. Systems Engineers need to have the skills necessary to integrate applications and systems.
AI Engineer
AI Engineer
This course may be helpful for an AI Engineer. This course provides a hands-on experience with the Gemini API and generative AI models from code. This course teaches you how to test Gemini from an app, a capability that bridges the gap between development and implementation. AI Engineers need to have the experience necessary to integrate generative AI models with their own applications. This course provides a foundation for that integration.
Software Engineer
Software Engineer
This course may be helpful for a Software Engineer who needs to integrate Gemini 1.0 Pro with an application. The course covers integrating applications with Gemini 1.0 Pro on Google Cloud. Software Engineers need to have the skills necessary to integrate Gemini 1.0 Pro with their own applications.
Full-Stack Developer
Full-Stack Developer
This course may be helpful for a Full Stack Developer who needs to develop and deploy applications that integrate with Gemini 1.0 Pro. The course covers integrating applications with Gemini 1.0 Pro on Google Cloud. Full Stack Developers need to have the ability to develop and deploy applications that integrate with Gemini 1.0 Pro.
Data Scientist
Data Scientist
This course may be helpful for a Data Scientist who needs to build or deploy models on Google Cloud using Gemini 1.0 Pro. The course provides a hands-on experience with the Gemini API and includes testing the capabilities of Gemini 1.0 Pro text, image, and video prompts from an app. Data Scientists need to be able to work with generative AI models like Gemini 1.0 Pro and this course will help them learn how to do so.
Machine Learning Engineer
Machine Learning Engineer
This course may be helpful for a Machine Learning Engineer who needs to build or deploy models on Google Cloud using Gemini 1.0 Pro. This course helps you discover the capabilities of the Gemini API and its generative AI models. Machine Learning Engineers need to be able to work with generative AI models like Gemini 1.0 Pro and this course will help them learn how to do so.
Technical Writer
Technical Writer
This course may be helpful for a Technical Writer who needs to provide clear documentation for integrating applications with Gemini 1.0. The course covers the course resources for Integrating Applications with Gemini 1.0 Pro on Google Cloud. This course will help you learn about the syntax and logic of the technical documentation needed to support application integration with Gemini 1.0 Pro.
IT Architect
IT Architect
This course may be helpful for an IT Architect who needs to design and implement a solution that includes Gemini 1.0 Pro. The course covers integrating applications with Gemini 1.0 Pro on Google Cloud. IT Architects need to have the skills necessary to integrate Gemini 1.0 Pro with other applications and systems.
Software Developer
Software Developer
This course may be helpful for a Software Developer. You will learn how to access the capabilities of Gemini 1.0 Pro from code. Software Developers need to have the expertise to implement the code necessary for integration with Gemeni 1.0 Pro. This course teaches you how to test Gemini from an app, a capability that bridges the gap between development and implementation.
Cloud Architect
Cloud Architect
This course may be helpful for a Cloud Architect. This course provides a foundation for integrating applications with Gemini 1.0 Pro API and generative AI models in the Google Cloud environment. Cloud Architects need to understand how to deploy and integrate these services to meet application requirements.
Project Manager
Project Manager
This course may be helpful for a Project Manager who needs to manage a project that includes the integration of Gemini 1.0 Pro. Project Managers need to understand the capabilities of Gemini 1.0 Pro to set realistic expectations and timelines for project delivery.
Product Manager
Product Manager
This course may be helpful for a Product Manager who needs to evaluate and integrate Gemini 1.0 Pro for a product. The course teaches you to integrate Gemini 1.0 Pro API and its generative AI models with an application. This can help Product Managers understand the value of the integration and make informed decisions about product development.
Data Analyst
Data Analyst
This course may be helpful for a Data Analyst. This course includes testing the capabilities of Gemini 1.0 Pro text, image, and video prompts from an app. Data Analysts need to be able to evaluate the output of generative AI models like Gemini 1.0 and this course provides a practical way of doing so from an application perspective.
Information Systems Manager
Information Systems Manager
This course may be helpful for an Information Systems Manager. It teaches you to connect and integrate with Gemini 1.0 Pro API and generativie AI models through code. The Integration Systems Manager is responsible for managing and integrating system software, applications, and networks. These skills are necessary to integrate the Gemini API and models with other applications within the organization's network.
For more career information including salaries, visit:
OpenCourser.com/course/fh2tve/integrating
Reading list
We've selected six 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
Integrating Applications with Gemini 1.0 Pro on Google Cloud.
Classic textbook on AI. It provides a comprehensive overview of the field, from its history to its latest developments.
Save
Comprehensive guide to deep learning. It valuable resource for developers who want to learn how to use deep learning to build AI models.
Classic textbook on statistical learning. It provides a comprehensive overview of the field, from its history to its latest developments.
Comprehensive guide to pattern recognition and machine learning. It valuable resource for developers who want to learn how to use machine learning to solve real-world problems.
Provides a practical introduction to machine learning using Python. It valuable resource for developers who want to learn how to use machine learning to solve real-world problems.
Provides a probabilistic perspective on machine learning. It valuable resource for developers who want to learn how to use machine learning to solve real-world problems.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/fh2tve/integrating
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Level
Introductory
Via
Pluralsight
Instructor
Google Cloud
Language
English
Good to know
Provides a solid foundation for exploring use cases for Google Cloud's Gemini API and its generative AI models
Uses version 2022 or later of all software taught in this course
Taught by Google Cloud who have strong expertise in generative AI models
Suitable for learners with beginner to intermediate experience with generative AI models and Google Cloud
Employs interactive hands-on labs to reinforce concepts learned
Part of a series of courses on generative AI models, offering a comprehensive learning experience
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