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Integrating Applications with Gemini 1.0 Pro on Google Cloud
Google Cloud Training
Google Cloud Training
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/ixryhh/integrating
What's inside
Syllabus
Integrating Applications with Gemini 1.0 Pro on Google Cloud
In this module, you learn about the Gemini API and how to access and test the Gemini 1.0 Pro models by developing an application using Streamlit.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Provides a comprehensive overview of the Gemini API and its generative AI models
Taught by Google Cloud Training, renowned for their expertise in cloud computing
Develops skills in integrating applications with Gemini 1.0 Pro models, which are highly relevant in data science and AI development
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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:
Follow Tutorials on Generative AI
Show steps
Seek out and follow tutorials on generative AI to refine your skills and explore different applications.
Browse courses on
Generative AI
Show steps
-
Identify reputable sources for generative AI tutorials.
-
Choose tutorials that align with your interests and learning goals.
-
Follow the tutorials step-by-step and experiment with the code.
Seek Mentorship from Generative AI Experts
Show steps
Find and connect with mentors in the field of generative AI to gain guidance and insights.
Browse courses on
Generative AI
Show steps
-
Attend industry events and conferences.
-
Reach out to professionals in your network.
-
Search for online mentoring platforms.
Compile Resources on Generative AI
Show steps
Gather and compile resources on generative AI to expand your knowledge and stay up-to-date.
Browse courses on
Generative AI
Show steps
-
Search for relevant articles, blog posts, and documentation.
-
Identify and evaluate different tools and frameworks for generative AI.
-
Organize and categorize the resources.
-
Share your compilation with others.
Five other activities
Expand to see all activities and additional details
Show all eight activities
Review the Gemini API
Show steps
Review the Gemini API in advance to gain a stronger foundation before starting the course.
Show steps
-
Read the Gemini API documentation.
-
Explore the Gemini API examples.
-
Create a sample application using the Gemini API.
Practice using the Gemini Models
Show steps
Practice using the Gemini models to gain confidence and improve proficiency.
Show steps
-
Test the Gemini 1.0 Pro model on different text prompts.
-
Experiment with different image and video prompts for the Gemini 1.0 Pro Vision model.
-
Develop your own use cases for the Gemini models.
Practice Writing Prompts for Generative AI
Show steps
Practice writing effective prompts for generative AI models to improve your results.
Browse courses on
Generative AI
Show steps
-
Understand the different types of prompts.
-
Identify the key elements of a good prompt.
-
Write practice prompts for different use cases.
-
Test your prompts with generative AI models.
Develop an Application Using the Gemini API
Show steps
Create an application using the Gemini API to apply your knowledge and reinforce your learning.
Browse courses on
Application Development
Show steps
-
Design the architecture of your application.
-
Implement the Gemini API into your application.
-
Test and debug your application.
-
Deploy your application.
Contribute to Open Source Generative AI Projects
Show steps
Contribute to open source generative AI projects to gain practical experience and connect with the community.
Browse courses on
Generative AI
Show steps
-
Identify open source generative AI projects that align with your interests.
-
Review the project documentation and code.
-
Make contributions to the project.
-
Collaborate with other contributors.
Follow Tutorials on Generative AI
Show steps
Seek out and follow tutorials on generative AI to refine your skills and explore different applications.
Browse courses on
Generative AI
Show steps
Show steps
Show steps
- Identify reputable sources for generative AI tutorials.
- Choose tutorials that align with your interests and learning goals.
- Follow the tutorials step-by-step and experiment with the code.
Seek Mentorship from Generative AI Experts
Show steps
Find and connect with mentors in the field of generative AI to gain guidance and insights.
Browse courses on
Generative AI
Show steps
Show steps
Show steps
- Attend industry events and conferences.
- Reach out to professionals in your network.
- Search for online mentoring platforms.
Compile Resources on Generative AI
Show steps
Gather and compile resources on generative AI to expand your knowledge and stay up-to-date.
Browse courses on
Generative AI
Show steps
Show steps
Show steps
- Search for relevant articles, blog posts, and documentation.
- Identify and evaluate different tools and frameworks for generative AI.
- Organize and categorize the resources.
- Share your compilation with others.
Five other activities
Expand to see all activities and additional details
Show all eight activities
Review the Gemini API
Show steps
Review the Gemini API in advance to gain a stronger foundation before starting the course.
Show steps
Show steps
Show steps
- Read the Gemini API documentation.
- Explore the Gemini API examples.
- Create a sample application using the Gemini API.
Practice using the Gemini Models
Show steps
Practice using the Gemini models to gain confidence and improve proficiency.
Show steps
Show steps
Show steps
- Test the Gemini 1.0 Pro model on different text prompts.
- Experiment with different image and video prompts for the Gemini 1.0 Pro Vision model.
- Develop your own use cases for the Gemini models.
Practice Writing Prompts for Generative AI
Show steps
Practice writing effective prompts for generative AI models to improve your results.
Browse courses on
Generative AI
Show steps
Show steps
Show steps
- Understand the different types of prompts.
- Identify the key elements of a good prompt.
- Write practice prompts for different use cases.
- Test your prompts with generative AI models.
Develop an Application Using the Gemini API
Show steps
Create an application using the Gemini API to apply your knowledge and reinforce your learning.
Browse courses on
Application Development
Show steps
Show steps
Show steps
- Design the architecture of your application.
- Implement the Gemini API into your application.
- Test and debug your application.
- Deploy your application.
Contribute to Open Source Generative AI Projects
Show steps
Contribute to open source generative AI projects to gain practical experience and connect with the community.
Browse courses on
Generative AI
Show steps
Show steps
Show steps
- Identify open source generative AI projects that align with your interests.
- Review the project documentation and code.
- Make contributions to the project.
- Collaborate with other contributors.
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:
For more career information including salaries, visit:
OpenCourser.com/course/ixryhh/integrating
Reading list
We haven't picked any books for this reading list yet.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/ixryhh/integrating
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Level
Introductory
Via
Coursera
Institution
Google Cloud
Instructor
Google Cloud Training
Session
August 19, 2024
- September 2, 2024
Language
English
Good to know
Provides a comprehensive overview of the Gemini API and its generative AI models
Taught by Google Cloud Training, renowned for their expertise in cloud computing
Develops skills in integrating applications with Gemini 1.0 Pro models, which are highly relevant in data science and AI development
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