Explore Generative AI with the Gemini API in Vertex AI
Earned mai 16, 2025 EDT
Inspect Rich Documents with Gemini Multimodality and Multimodal RAG
Earned avr. 30, 2025 EDT
Develop Gen AI Apps with Gemini and Streamlit
Earned avr. 19, 2025 EDT
Build Real World AI Applications with Gemini and Imagen
Earned avr. 18, 2025 EDT
Prompt Design in Vertex AI
Earned avr. 18, 2025 EDT
Level 1 : Getting Started with GCP
Earned avr. 28, 2024 EDT
Level 3: GenAIus Careers
Earned avr. 13, 2024 EDT
Introduction to Responsible AI
Earned nov. 6, 2023 EST
Introduction to Generative AI
Earned nov. 6, 2023 EST
Introduction to Large Language Models
Earned nov. 6, 2023 EST
Getting Started with Go on Google Cloud
Earned juil. 8, 2023 EDT
App Engine: 3 Ways
Earned juil. 7, 2023 EDT
Build Serverless Applications with Cloud Run Functions
Earned mai 17, 2023 EDT
App Building with AppSheet
Earned mai 16, 2023 EDT
Prepare Data for Looker Dashboards and Reports
Earned mai 11, 2023 EDT
Store, Process, and Manage Data on Google Cloud - Console
Earned mai 10, 2023 EDT
Level 1: Managing Resources and Data in the Cloud
Earned mai 10, 2023 EDT
Monitor and Manage Google Cloud Resources
Earned mai 10, 2023 EDT
Complete the intermediate Explore Generative AI with the Gemini API in Vertex AI skill badge to demonstrate skills in text generation, image and video analysis for enhanced content creation, and applying function calling techniques within the Gemini API. Discover how to leverage sophisticated Gemini techniques, explore multimodal content generation, and expand the capabilities of your AI-powered projects.
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Complete the intermediate Inspect Rich Documents with Gemini Multimodality and Multimodal RAG skill badge course to demonstrate skills in the following: using multimodal prompts to extract information from text and visual data, generating a video description, and retrieving extra information beyond the video using multimodality with Gemini; building metadata of documents containing text and images, getting all relevant text chunks, and printing citations by using Multimodal Retrieval Augmented Generation (RAG) with Gemini.
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Complete the intermediate Develop Gen AI Apps with Gemini and Streamlit skill badge course to demonstrate skills in text generation, applying function calls with the Python SDK and Gemini API, and deploying a Streamlit application with Cloud Run. In this course, you learn Gemini prompting, test Streamlit apps in Cloud Shell, and deploy them as Docker containers in Cloud Run.
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Complete the introductory Build Real World AI Applications with Gemini and Imagen skill badge to demonstrate skills in the following: image recognition, natural language processing, image generation using Google's powerful Gemini and Imagen models, deploying applications on the Vertex AI platform.
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Complete the introductory Prompt Design in Vertex AI skill badge to demonstrate skills in the following: prompt engineering, image analysis, and multimodal generative techniques, within Vertex AI. Discover how to craft effective prompts, guide generative AI output, and apply Gemini models to real-world marketing scenarios.
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Businesses are flocking to the cloud, and the demand for skilled professionals is skyrocketing. Join the trend and level up your resume with in-demand skills and earn a Google Cloud Credential to showcase your expertise. No experience necessary – get started today!
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Gen AI is spearheading a revolution in careers. Whether you're seasoned or new to the field, Gen AI holds the key to fresh possibilities. Obtaining a Google Cloud credential in this innovative technology can enhance your resume. And the best part? No prior experience is required.
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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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This is an introductory level microlearning course aimed at explaining what Generative AI is, how it is used, and how it differs from traditional machine learning methods. It also covers Google Tools to help you develop your own Gen AI apps.
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This is an introductory level micro-learning course that explores what large language models (LLM) are, the use cases where they can be utilized, and how you can use prompt tuning to enhance LLM performance. It also covers Google tools to help you develop your own Gen AI apps.
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Get started with Go (Golang) by reviewing Go code, and then creating and deploying simple Go apps on Google Cloud. Go is an open source programming language that makes it easy to build fast, reliable, and efficient software at scale. Go runs native on Google Cloud, and is fully supported on Google Kubernetes Engine, Compute Engine, App Engine, Cloud Run, and Cloud Functions. Go is a compiled language and is faster and more efficient than interpreted languages. As a result, Go requires no installed runtime like Node, Python, or JDK to execute.
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Earn a skill badge by completing the App Engine`:` 3 ways course, where you learn how to use App Engine with Python, Go, and PHP.
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Earn a Introductory skill badge by completing the Build Serverless Applications with Cloud Run Functions course, where you learn how to use Cloud Run functions through the Google Cloud console and on the command line.
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Earn a skill badge by completing the App Building with AppSheet course, where you learn how to build, configure, and publish apps using AppSheet.
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Complete the introductory Prepare Data for Looker Dashboards and Reports skill badge course to demonstrate skills in the following: filtering, sorting, and pivoting data; merging results from different Looker Explores; and using functions and operators to build Looker dashboards and reports for data analysis and visualization.
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Cloud Storage, Cloud Functions, and Cloud Pub/Sub are all Google Cloud Platform services that can be used to store, process, and manage data. All three services can be used together to create a variety of data-driven applications. In this skill badge you use Cloud Storage to store images, Cloud Functions to process the images, and Cloud Pub/Sub to send the images to another application.
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More than 90% of IT leaders say they're looking to grow their cloud environments in the next several years, yet more than 80% of those same leaders identified a lack of skills as a barrier to growth. This means that tech skills (particularly cloud skills!) are in high demand. Want to grow your skills and take advantage of the opportunity? Play now to get hands-on experience with Google Cloud. Each lab teaches and tests your growing tech skills, and sets you on the path to your first Google Cloud credential. No experience required.
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Complete the introductory Monitor and Manage Google Cloud Resources skill badge to demonstrate skills in the following: granting and revoking IAM permissions; installing monitoring and logging agents; creating, deploying, and testing an event-driven Cloud Run function.
Explore Generative AI with the Gemini API in Vertex AI
Earned mai 16, 2025 EDT
Inspect Rich Documents with Gemini Multimodality and Multimodal RAG
Earned avr. 30, 2025 EDT
Develop Gen AI Apps with Gemini and Streamlit
Earned avr. 19, 2025 EDT
Build Real World AI Applications with Gemini and Imagen
Earned avr. 18, 2025 EDT
Prompt Design in Vertex AI
Earned avr. 18, 2025 EDT
Level 1 : Getting Started with GCP
Earned avr. 28, 2024 EDT
Level 3: GenAIus Careers
Earned avr. 13, 2024 EDT
Introduction to Responsible AI
Earned nov. 6, 2023 EST
Introduction to Generative AI
Earned nov. 6, 2023 EST
Introduction to Large Language Models
Earned nov. 6, 2023 EST
Getting Started with Go on Google Cloud
Earned juil. 8, 2023 EDT
App Engine: 3 Ways
Earned juil. 7, 2023 EDT
Build Serverless Applications with Cloud Run Functions
Earned mai 17, 2023 EDT
App Building with AppSheet
Earned mai 16, 2023 EDT
Prepare Data for Looker Dashboards and Reports
Earned mai 11, 2023 EDT
Store, Process, and Manage Data on Google Cloud - Console
Earned mai 10, 2023 EDT
Level 1: Managing Resources and Data in the Cloud
Earned mai 10, 2023 EDT
Monitor and Manage Google Cloud Resources
Earned mai 10, 2023 EDT