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Google Cloud Training

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

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Uses cURL commands, which are commonly used by developers to make HTTP requests from the command line, making it accessible to those familiar with this tool
Focuses on the Vertex AI Gemini API, which is part of the Google Cloud ecosystem, making it relevant for those working with cloud-based AI services
Explores the Gemini models, which are Google's cutting-edge generative AI models, providing an opportunity to learn about and interact with state-of-the-art technology
Takes place in the Google Cloud console, so learners will need a Google Cloud account and some familiarity with the platform to complete the lab exercises
Presented by Google Cloud, which is known for its cloud computing services and its contributions to the field of artificial intelligence and machine learning

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Reviews summary

Getting started with vertex ai gemini api via curl

According to learners, this course offers a practical, hands-on introduction to the Vertex AI Gemini API using cURL commands. Many found the lab environment to be a useful way to understand the API mechanics directly. It's seen as a solid starting point for beginners getting familiar with the API and Google Cloud. However, some note that as a "getting started" lab, it has a limited scope and does not cover advanced topics or libraries. Reviewers generally found it effective for its stated purpose of providing initial exposure.

Requires some GCP console familiarity.
"Familiarity with the Google Cloud console and setting up credentials is quite helpful before starting."
"The lab environment worked seamlessly once access was granted and initial setup steps were followed correctly."
"Setting up the necessary credentials and project permissions required careful attention to detail as instructed."
Shows raw API interaction details.
"Using cURL gave me a raw view of the API calls and responses, which was quite insightful."
"While using basic cURL commands, it clearly demonstrated the request/response structure needed for the API."
"It's a straightforward use of cURL, serving its purpose to show direct API communication without abstraction layers."
Excellent starting point for novices.
"This lab is perfect for someone completely new to Vertex AI Gemini or even new to Google Cloud services."
"It is definitely a 'getting started' level lab, ideal for learning the absolute basics and prerequisites."
"The course laid a solid foundation that I could then build upon with more complex documentation or labs."
Great for practical API interaction.
"The lab format is fantastic for actually *doing* things yourself to understand the API."
"I really appreciated the hands-on approach; typing the commands myself helped the concepts stick better."
"Doing the steps in the GCP console environment made the concepts much more concrete for me."
"This is a very practical, step-by-step lab showing how to interact with the Gemini API."
Doesn't cover complex concepts.
"Don't expect deep dives into the API's nuances or advanced features; it's strictly the fundamentals."
"The lab is quite short and only scratches the surface of what the Vertex AI Gemini API can do."
"It's a good first step, but you'll need other resources and labs for more realistic, advanced applications."

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
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
Show steps
  • 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
Review the fundamental concepts behind APIs. This will help you understand how the Gemini API works and how to interact with it effectively.
Show steps
  • 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
Work through online tutorials that demonstrate how to use cURL to interact with various APIs. This will provide practical experience and build confidence.
Show steps
  • 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.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Practice Interacting with a Public API
Choose a public API and practice making requests using cURL. This will reinforce your understanding of the concepts covered in the lab.
Show steps
  • 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
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.
Show steps
  • 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
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.
Show steps
  • 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
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.
Show steps
  • 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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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
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.
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.
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.
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.

Reading list

We haven't picked any books for this reading list yet.
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.
Provides a guide to web scraping using Python, a programming language that can be used to write cURL scripts. It great resource for learning how to use cURL to extract data from websites.
Provides a guide to network programming using Go, a programming language that can be used to write cURL scripts. It great resource for learning how to use cURL to write network applications.
Provides a guide to using cURL from Java code. It great resource for learning how to use cURL to write Java applications that can communicate with web servers.
Provides a guide to automating tasks using cURL. It covers everything from the basics of cURL to advanced topics such as using cURL to write cron jobs.
Provides a comprehensive overview of HTTP/2, a new version of the HTTP protocol that cURL supports. It great resource for learning more about the underlying technology that cURL uses.
Focuses on generative models, which are central to the capabilities of Gemini. It explores how deep learning can be used to create new content across various domains. Understanding the principles of generative models is key to appreciating how Gemini produces human-like text, images, and other outputs. The second edition was published in 2023.
This classic textbook provides a comprehensive introduction to reinforcement learning. While not directly about the architecture of Gemini, RL crucial area of machine learning that informs training strategies for complex agents. Understanding RL can provide valuable insight into potential future developments and capabilities of advanced models.
Focuses on the practical aspects of building and deploying machine learning systems in real-world scenarios. For those looking to work with models like Gemini in a professional capacity, understanding ML engineering principles is crucial for efficient development, deployment, and maintenance. Published in 2020, it covers contemporary practices.
Provides a thorough introduction to pattern recognition and machine learning from a probabilistic perspective. It covers foundational concepts and models with a strong mathematical basis, contributing to a deeper theoretical understanding of the techniques used in complex models like Gemini. It widely respected textbook and reference.
Offers a detailed and comprehensive exploration of statistical learning methods. It provides a strong theoretical foundation in the statistical aspects of machine learning, which is crucial for understanding the principles behind model training and evaluation. It valuable reference for those seeking a deeper, more mathematical understanding.
This foundational textbook in Natural Language Processing, covering a wide range of topics from linguistic essentials to advanced models. Understanding NLP is critical for comprehending how models like Gemini process and generate human language. The book provides both breadth and depth, making it essential for a deep understanding of the language capabilities of such models.
As the title suggests, this book is designed for individuals with no prior background in machine learning. It explains core concepts in simple terms, making it an excellent starting point for absolute beginners to grasp the basic ideas before moving to more technical resources related to Gemini Models. It provides essential prerequisite knowledge in a very accessible format.
Is highly relevant as it focuses specifically on transformer models, the architecture underpinning models like Gemini. It provides practical guidance using the Hugging Face library, allowing readers to understand and work with these contemporary models. It's a must-read for anyone wanting to dive into the technical details of modern NLP models. Published recently in 2022.
Provides a concise and accessible introduction to the fundamental concepts of machine learning. It's an excellent starting point for gaining a broad understanding of the field before diving into more specialized topics related to models like Gemini. Its brevity and clear explanations make it valuable for solidifying foundational knowledge. This book is often recommended as a first read for those new to the subject.
A comprehensive textbook covering a wide array of machine learning methods and their theoretical underpinnings. is suitable for gaining a solid broad understanding of the field. It is often used as a textbook in undergraduate and graduate machine learning courses and provides essential background knowledge for understanding advanced models.
Considered the 'bible' of deep learning, this book provides a comprehensive and rigorous treatment of the subject. It delves into the theoretical foundations, algorithms, and models of deep learning, which are essential for a deep understanding of the technologies behind Gemini Models. It core reference for graduate students and researchers in the field.
Provides a high-level overview of the five main paradigms of machine learning. It's useful for gaining a broad conceptual understanding of different approaches and their strengths and weaknesses. While not a technical deep dive, it helps in appreciating the diverse landscape of ML and where models like Gemini fit within it. It's more valuable as additional reading for context.
Offers a comprehensive introduction to machine learning through the lens of probabilistic modeling. It helps deepen understanding by providing a unified framework for many ML techniques. A strong grasp of probabilistic methods is beneficial for understanding the uncertainty and confidence in the outputs of large models like Gemini.
This highly contemporary book addresses the practical skill of crafting effective prompts to get desired outputs from generative AI models like Gemini. It's directly applicable to working with these models and is essential for users and developers looking to maximize their capabilities. Published in 2023, it reflects the current state of interacting with LLMs.

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