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Getting Started with the Vertex AI Gemini API with cURL

This is a self-paced lab that takes place in the Google Cloud console. In this lab, you will learn how to use the Vertex AI Gemini API with cURL commands to interact with the Gemini models.

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What's inside

Syllabus

Getting Started with the Vertex AI Gemini API with cURL

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Know what's good

, what to watch for

, and possible dealbreakers

Uses cURL commands, which are standard for interacting with APIs from the command line and automating interactions with web services

Focuses on the Vertex AI Gemini API, which is a cutting-edge tool for accessing and utilizing Google's advanced Gemini models

Offered by Google Cloud, which is recognized for its contributions to cloud computing and its development of advanced AI technologies

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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 Getting Started with the Vertex AI Gemini API with cURL with these activities:

Review Basic cURL Commands

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Familiarize yourself with cURL syntax and common options. This will make it easier to understand and execute the commands used in the lab.

Browse courses on Command Line Tools

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Read the cURL documentation to understand basic syntax.
Practice making simple GET and POST requests to public APIs.
Experiment with different cURL options like headers and data.

Review API Concepts

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Review the fundamental concepts behind APIs. This will help you understand how the Gemini API works and how to interact with it effectively.

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Study the different types of APIs (REST, GraphQL, etc.).
Learn about API authentication methods (API keys, OAuth, etc.).
Understand the structure of API requests and responses.

Follow cURL Tutorials for API Interaction

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Work through online tutorials that demonstrate how to use cURL to interact with various APIs. This will provide practical experience and build confidence.

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Find tutorials that use cURL to interact with REST APIs.
Adapt the tutorial examples to interact with a different public API.
Troubleshoot any errors encountered during the tutorial.

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Practice Interacting with a Public API

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Choose a public API and practice making requests using cURL. This will reinforce your understanding of the concepts covered in the lab.

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Select a public API with clear documentation.
Construct cURL commands to retrieve and send data to the API.
Analyze the API responses and handle any errors.

Document Your cURL API Interactions

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Create a document outlining the cURL commands you used to interact with the Gemini API, along with explanations of each option and the corresponding API responses. This will solidify your understanding and serve as a reference for future use.

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Record each cURL command used during the lab.
Explain the purpose of each option used in the command.
Document the API responses and their meanings.

Build a Simple Gemini API Client

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Develop a basic client application that uses cURL to interact with the Gemini API. This will provide a deeper understanding of the API and its capabilities.

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Design the client application's functionality.
Implement the cURL commands to interact with the Gemini API.
Test the client application with different Gemini API endpoints.

Contribute to a cURL-Related Open Source Project

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Contribute to an open-source project that utilizes cURL or focuses on API interaction. This will provide valuable experience and exposure to real-world development practices.

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Find an open-source project related to cURL or APIs.
Identify a bug or feature to contribute to the project.
Submit a pull request with your changes.

Career center

Learners who complete Getting Started with the Vertex AI Gemini API with cURL will develop knowledge and skills that may be useful to these careers:

AI Application Developer

An AI application developer creates applications that use artificial intelligence, and must know how to interact with AI models via APIs. This course introduces you to the Vertex AI Gemini API, which is valuable to an AI application developer. Learning to use cURL to connect with the Gemini API can enable an AI application developer to build features that leverage those models. This helps build a foundation for integrating AI capabilities into applications, which is a core responsibility of any AI application developer. The use of cURL is especially relevant because it is commonly used by developers for debugging and testing APIs.

See salaries and explore the career path for AI Application Developer

Backend Engineer

A backend engineer builds the server side of applications, including how servers connect to each other. This course, which introduces the Vertex AI Gemini API and how to interact with it using cURL, is valuable for a backend engineer. This helps a backend engineer understand how to integrate AI models into the backend. This helps build a foundation for building scalable and reliable applications. cURL is a common tool for backend engineers to test API functionality, making this knowledge highly relevant. It also helps the backend engineer debug issues and ensure proper functioning of their systems.

See salaries and explore the career path for Backend Engineer

Machine Learning Engineer

A machine learning engineer builds and deploys machine learning models, and so should have familiarity with APIs. This course, which gets you started with the Vertex AI Gemini API using cURL, may be useful for a machine learning engineer. By understanding how to interact with AI models through an API, a machine learning engineer can better integrate these models into broader systems and applications. It helps a machine learning engineer to leverage the power of AI in their projects. Further, machine learning engineers are often tasked with troubleshooting and debugging software, and knowing how to use cURL can be useful for such debugging tasks.

See salaries and explore the career path for Machine Learning Engineer

Data Scientist

A data scientist often uses application programming interfaces, or APIs, to access data and perform analysis. This course, focused on the Vertex AI Gemini API, may be useful for a data scientist who wants to leverage Google's AI models. Learning how to use the Gemini API with cURL commands can help a data scientist to integrate AI capabilities into their workflows. It helps build a foundation for developing and testing new machine learning models. This is particularly relevant since data scientists constantly need to pull data from diverse sources.

See salaries and explore the career path for Data Scientist

Data Analyst

A data analyst often needs to access data via APIs, in a variety of different formats. This course, which introduces the Vertex AI Gemini API with cURL, may be useful for a data analyst. Learning to use cURL to interact with APIs helps build a foundation for integrating AI capabilities into data analysis workflows. This is particularly helpful as data analysts are increasingly being asked to incorporate AI into their work. Data analysis is often achieved with the command line, which this course also touches on.

See salaries and explore the career path for Data Analyst

Software Developer

Software developers build applications, and must understand how to use APIs. This course on the Vertex AI Gemini API may be useful for a software developer. Learning how to interact with APIs using cURL can help a software developer integrate AI capabilities into applications. This helps build a foundation for creating software that leverages AI. Much of software development involves interacting with services over the internet, often using the command line and cURL, which is a common tool for this.

See salaries and explore the career path for Software Developer

AI Consultant

An AI consultant advises clients on how to leverage artificial intelligence in their businesses, and must have experience with AI tools and APIs. This course, which teaches the fundamentals of the Vertex AI Gemini API with cURL commands, helps an AI consultant gain better understanding of how these models function. This helps an AI consultant better advise clients on the proper uses of AI. The practical experience this course provides, of interacting with an API directly, can also help provide an AI consultant with knowledge that clients will value.

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Research Scientist

A research scientist engaged with artificial intelligence needs to know how to interact with foundational AI models. This course, introducing the Vertex AI Gemini API, may be useful for a research scientist. By learning to use cURL to communicate with the Gemini models, the research scientist can more easily integrate the models into their research pipeline. This helps build a foundation for incorporating these models into a researcher's own analysis. Furthermore, the techniques from this course can be useful for a research scientist tasked with running experiments and debugging new AI approaches.

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Cloud Solutions Architect

A cloud solutions architect designs and manages cloud infrastructure, and understanding how to use cloud APIs is essential. This course on the Vertex AI Gemini API with cURL helps a cloud solutions architect understand how to use the API. Since many cloud solutions involve AI, having familiarity with how these services are accessed is important. This helps a cloud solutions architect integrate AI capabilities into cloud solutions for their company and clients. API interaction via the command line using cURL provides an additional important tool for understanding and managing the infrastructure and cloud services.

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DevOps Engineer

A DevOps engineer manages the process of deploying and maintaining applications, and so will benefit from knowing how to use APIs and the command line. This course, which helps you get started with the Vertex AI Gemini API using cURL, may be useful for a DevOps engineer. This course helps a DevOps engineer because it provides a way to script and automate interactions with AI models. This helps build a foundation for automating the integration of AI based services into systems. DevOps engineers use the command line and tools like cURL heavily for automation, so this is a natural fit.

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Solutions Engineer

Solutions engineers use their technical skills to help an organization or client achieve its business goals. This course on the Vertex AI Gemini API may be useful for a solutions engineer, particularly one who works with companies that utilize artificial intelligence. Knowing how to access APIs with cURL is a basic skill that makes it easier for a solutions engineer to advise on the technical details of particular projects and services. This helps build a foundation for a solutions engineer to tailor AI based solutions to their clients needs. The ability to debug and test APIs via the command line is also very beneficial

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System Administrator

System administrators manage and maintain computer systems and must understand how to automate tasks using the command line. This course on the Vertex AI Gemini API using cURL may be useful for a system administrator. Learning to use cURL to interact with APIs can help a system administrator to automate interactions with cloud services. This helps build a foundation to manage AI capabilities from the command line, which is a common part of a system administrator's work. In general, understanding the command line is also important to system administration.

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Technical Support Specialist

A technical support specialist assists users with technical issues, often including API related problems. This course, which provides an introduction to the Vertex AI Gemini API using cURL, helps a technical support specialist better understand how APIs work. This helps build a foundation for assisting users who may be facing issues with the Gemini service. Moreover, familiarity with cURL can help a technical support specialist to debug problems more easily via the command line, which is a common tool for troubleshooting. This enables a technical support specialist to provide more informed and practical assistance.

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Technical Writer

Technical writers create documentation for technical products and services. This course on using the Vertex AI Gemini API with cURL may be useful for a technical writer who needs to document how to use that API. Learning how to use the API through cURL can enable a technical writer to better understand the features they are documenting. This helps the technical writer to produce documentation that will be useful to developers using those APIs. A technical writer may need to write documentation that uses cURL and API interactions, so this course helps them become familiar with related tools and technologies.

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Technical Project Manager

A technical project manager leads projects that involve technical teams and technology, and it is important to understand how components function. This course on the Vertex AI Gemini API helps a technical project manager understand the fundamentals of interacting with AI model APIs. This knowledge is beneficial to any technical project manager who is responsible for delivering successful projects involving AI. This helps provide a foundation for understanding the technical decisions made by engineers, which is crucial for effective project management. By understanding cURL, a project manager can have more insight into how the system works.

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Reading list

We haven't picked any books for this reading list yet.

HTTP: The Definitive Guide

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Provides a comprehensive overview of HTTP, the protocol that cURL uses to communicate with web servers. It great resource for learning more about the underlying technology that cURL uses.

Getting Started with the Vertex AI Gemini API with cURL

Here's a deal for you

What's inside

Syllabus

Good to know

Save this course

Activities

Career center

Reading list

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