Deploy Kubernetes Applications on Google Cloud
Earned déc. 27, 2024 EST
Develop Serverless Apps with Firebase
Earned déc. 25, 2024 EST
Integrating Applications with Gemini 1.0 Pro on Google Cloud
Earned nov. 19, 2024 EST
Developing Applications with Cloud Run Functions on Google Cloud
Earned nov. 12, 2024 EST
Developing Applications with Cloud Run on Google Cloud: Fundamentals
Earned nov. 6, 2024 EST
Developing Containerized Applications on Google Cloud
Earned nov. 5, 2024 EST
Developing a Google SRE Culture
Earned nov. 1, 2024 EDT
Developing Applications with Google Cloud: Foundations
Earned oct. 28, 2024 EDT
Text Prompt Engineering Techniques
Earned oct. 28, 2024 EDT
Service Orchestration and Choreography on Google Cloud
Earned oct. 25, 2024 EDT
Generative AI Fundamentals
Earned oct. 24, 2024 EDT
Introduction to Vertex AI Studio
Earned oct. 22, 2024 EDT
App Deployment, Debugging, and Performance
Earned oct. 21, 2024 EDT
Responsible AI: Applying AI Principles with Google Cloud
Earned oct. 20, 2024 EDT
Introduction to Responsible AI
Earned oct. 20, 2024 EDT
Generative AI for Business Leaders
Earned oct. 20, 2024 EDT
Integrate BigQuery Data and Google Workspace using Apps Script
Earned oct. 18, 2024 EDT
Google Cloud Fundamentals: Core Infrastructure
Earned déc. 5, 2023 EST
Complete the intermediate Deploy Kubernetes Applications on Google Cloud skill badge course to demonstrate skills in the following: Configuring and building Docker container images.Creating and managing Google Kubernetes Engine (GKE) clusters.Utilizing kubectl for efficient cluster management.Deploying Kubernetes applications with robust continuous delivery (CD) practices.
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Complete the intermediate Develop Serverless Apps with Firebase skill badge course to demonstrate skills in the following: architecting and building serverless web applications with Firebase, utilizing Firestore for database management, automating deployment processes using Cloud Build, and integrating Google Assistant functionality into your applications.
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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.
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In this course, you learn about Cloud Run functions, Google's serverless, fully-managed functions as a service (FaaS) product that lets you implement single-purpose function code that reponds to HTTP requests and events from your cloud infrastructure.
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This course introduces the Cloud Run serverless platform for running applications.
In this course, you learn about the fundamentals of Cloud Run, its resource model and the container lifecycle.
You learn about service identities, how to control access to services, and how to develop and test your
application locally before deploying it to Cloud Run. The course also teaches you how to integrate
with other services on Google Cloud so you can build full-featured applications.
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In this course, you learn about containers and how to build, and package container images. The content in this course includes best practices for creating and securing containers, and provides an introduction to Cloud Run and Google Kubernetes Engine for application developers.
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In many IT organizations, incentives are not aligned between developers, who strive for agility, and operators, who focus on stability. Site reliability engineering, or SRE, is how Google aligns incentives between development and operations and does mission-critical production support. Adoption of SRE cultural and technical practices can help improve collaboration between the business and IT. This course introduces key practices of Google SRE and the important role IT and business leaders play in the success of SRE organizational adoption.
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In this course, you learn the fundamentals of application development on Google Cloud. You learn best practices for cloud applications, and how to select compute and data options to match your application use cases. You're introduced to generative AI and how it's used to help build applications. You learn about authentication and authorization, application deployment, continuous integration and delivery, and monitoring and performance tuning for your applications running in Google Cloud. Using lectures and hands-on labs, you learn how to get started building and running applications on Google Cloud.
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Text Prompt Engineering Techniques introduces you to consider different strategic approaches & techniques to deploy when writing prompts for text-based generative AI tasks.
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This course introduces you to event-based applications and teaches you how to use service orchestration and choreography to coordinate microservices. Using lectures and hands-on labs, you learn how to use Workflows, Eventarc, Cloud Tasks, and Cloud Scheduler to build microservices applications on Google Cloud.
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Earn a skill badge by passing the final quiz, you'll demonstrate your understanding of foundational concepts in generative AI.
A skill badge is a digital badge issued by Google Cloud in recognition of your knowledge of Google Cloud products and services. Share your skill badge by making your profile public and adding it to your social media profile.
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This course introduces Vertex AI Studio, a tool to interact with generative AI models, prototype business ideas, and launch them into production. Through an immersive use case, engaging lessons, and a hands-on lab, you’ll explore the prompt-to-product lifecycle and learn how to leverage Vertex AI Studio for Gemini multimodal applications, prompt design, prompt engineering, and model tuning. The aim is to enable you to unlock the potential of gen AI in your projects with Vertex AI Studio.
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In this course, application developers learn how to design and develop cloud-native applications that seamlessly integrate components from the Google Cloud ecosystem. Through a combination of presentations, demos, and hands-on labs, participants learn how to create repeatable deployments by treating infrastructure as code, choose the appropriate application execution environment for an application, and monitor application performance.
Completing one version of each lab is required. Each lab is available in Node.js. In most cases, the same labs are also provided in Python or Java. You may complete each lab in whichever language you prefer.
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As the use of enterprise Artificial Intelligence and Machine Learning continues to grow, so too does the importance of building it responsibly. A challenge for many is that talking about responsible AI can be easier than putting it into practice. If you’re interested in learning how to operationalize responsible AI in your organization, this course is for you.
In this course, you will learn how Google Cloud does this today, together with best practices and lessons learned, to serve as a framework for you to build your own responsible AI approach.
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This is an introductory-level microlearning course aimed at explaining what responsible AI is, why it's important, and how Google implements responsible AI in their products. It also introduces Google's 3 AI principles.
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A Business Leader in Generative AI can articulate the capabilities of core cloud Generative AI products and services and understand how they benefit organizations. This course provides an overview of the types of opportunities and challenges that companies often encounter in their digital transformation journey and how they can leverage Google Cloud's generative AI products to overcome these challenges.
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Complete the introductory Integrate BigQuery Data and Google Workspace using Apps Script skill badge course to demonstrate skills in connecting Workspace products with BigQuery via AppSheet.
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Google Cloud Fundamentals: Core Infrastructure introduces important concepts and terminology for working with Google Cloud. Through videos and hands-on labs, this course presents and compares many of Google Cloud's computing and storage services, along with important resource and policy management tools.
Deploy Kubernetes Applications on Google Cloud
Earned déc. 27, 2024 EST
Develop Serverless Apps with Firebase
Earned déc. 25, 2024 EST
Integrating Applications with Gemini 1.0 Pro on Google Cloud
Earned nov. 19, 2024 EST
Developing Applications with Cloud Run Functions on Google Cloud
Earned nov. 12, 2024 EST
Developing Applications with Cloud Run on Google Cloud: Fundamentals
Earned nov. 6, 2024 EST
Developing Containerized Applications on Google Cloud
Earned nov. 5, 2024 EST
Developing a Google SRE Culture
Earned nov. 1, 2024 EDT
Developing Applications with Google Cloud: Foundations
Earned oct. 28, 2024 EDT
Text Prompt Engineering Techniques
Earned oct. 28, 2024 EDT
Service Orchestration and Choreography on Google Cloud
Earned oct. 25, 2024 EDT
Generative AI Fundamentals
Earned oct. 24, 2024 EDT
Introduction to Vertex AI Studio
Earned oct. 22, 2024 EDT
App Deployment, Debugging, and Performance
Earned oct. 21, 2024 EDT
Responsible AI: Applying AI Principles with Google Cloud
Earned oct. 20, 2024 EDT
Introduction to Responsible AI
Earned oct. 20, 2024 EDT
Generative AI for Business Leaders
Earned oct. 20, 2024 EDT
Integrate BigQuery Data and Google Workspace using Apps Script
Earned oct. 18, 2024 EDT
Google Cloud Fundamentals: Core Infrastructure
Earned déc. 5, 2023 EST