The Basics of Google Cloud Compute
Earned fév. 17, 2025 EST
Develop Gen AI Apps with Gemini and Streamlit
Earned fév. 16, 2025 EST
Secure Software Delivery
Earned fév. 16, 2025 EST
Automate Data Capture at Scale with Document AI
Earned fév. 15, 2025 EST
Inspect Rich Documents with Gemini Multimodality and Multimodal RAG
Earned fév. 12, 2025 EST
Intermediate ML: TensorFlow on Google Cloud
Earned fév. 9, 2025 EST
Explore Generative AI with the Gemini API in Vertex AI
Earned fév. 8, 2025 EST
Get Started with Sensitive Data Protection
Earned fév. 7, 2025 EST
Google Developer Essentials
Earned fév. 7, 2025 EST
Responsible AI for Developers: Privacy & Safety
Earned fév. 7, 2025 EST
Workspace: Add-ons
Earned fév. 6, 2025 EST
Prepare Data for ML APIs on Google Cloud
Earned fév. 6, 2025 EST
Cloud Speech API: 3 Ways
Earned fév. 4, 2025 EST
Build Real World AI Applications with Gemini and Imagen
Earned fév. 4, 2025 EST
Prompt Design in Vertex AI
Earned fév. 3, 2025 EST
Complete the introductory Secure BigLake Data skill badge course to demonstrate skills with IAM, BigQuery, BigLake, and Dataplex to create and secure BigLake tables.
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Earn a skill badge by completing the The Basics of Google Cloud Compute skill badge course, where you learn how to work with virtual machines (VMs), persistent disks, and web servers using Compute Engine.
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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 intermediate Secure Software Delivery skill badge to demonstrate your proficiency in proactively integrating security into the software development lifecycle (SDLC) with DevSecOps principles. You'll learn how to utilize Google Kubernetes Engine (GKE) and Cloud Run for secure container image deployment, implement automated vulnerability scanning to proactively identify risks, and streamline application development with Artifact Registry while maintaining a focus on security. Additionally, you'll gain skills in integrating Cloud Build for robust development processes and implementing Admission Control Policies for fine-grained control over your environment.
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Earn the introductory skill badge by completing the Automate Data Capture at Scale with Document AI course. In this course, you learn how to extract, process, and capture data using Document AI.
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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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TensorFlow is an open source software library for high performance numerical computation that's great for writing models that can train and run on platforms ranging from your laptop to a fleet of servers in the Cloud to an edge device. This quest takes you beyond the basics of using predefined models and teaches you how to build, train and deploy your own on Google Cloud.
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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 introductory Get Started with Sensitive Data Protection skill badge course to demonstrate skills in the following: using Sensitive Data Protection services (including the Cloud Data Loss Prevention API) to inspect, redact, and de-identify sensitive data in Google Cloud.
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This introductory-level quest shows application developers how the Google Cloud ecosystem could help them build secure, scalable, and intelligent cloud native applications. You learn how to develop and scale applications without setting up infrastructure, run data analytics, gain insights from data, and develop with pre-trained ML APIs to leverage machine learning even if you are not a Machine Learning expert. You will also experience seamless integration between various Google services and APIs to create intelligent apps.
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This course introduces important topics of AI privacy and safety. It explores practical methods and tools to implement AI privacy and safety recommended practices through the use of Google Cloud products and open-source tools.
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This course demonstrates the power of integrating Google Cloud services and tools with Workspace applications - like using Node.js to build a survey bot, the Natural Language API to recognize sentiment in a Google Doc, and building a chat bot with Apps Script.
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Complete the introductory Prepare Data for ML APIs on Google Cloud skill badge to demonstrate skills in the following: cleaning data with Dataprep by Trifacta, running data pipelines in Dataflow, creating clusters and running Apache Spark jobs in Dataproc, and calling ML APIs including the Cloud Natural Language API, Google Cloud Speech-to-Text API, and Video Intelligence API.
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Earn the Introductory skill badge by completing the Cloud Speech API: 3 Ways course, where you learn how to use speech related API tools to synthesise and transcribe speech.
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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.
Secure BigLake Data
Earned fév. 17, 2025 EST
The Basics of Google Cloud Compute
Earned fév. 17, 2025 EST
Develop Gen AI Apps with Gemini and Streamlit
Earned fév. 16, 2025 EST
Secure Software Delivery
Earned fév. 16, 2025 EST
Automate Data Capture at Scale with Document AI
Earned fév. 15, 2025 EST
Inspect Rich Documents with Gemini Multimodality and Multimodal RAG
Earned fév. 12, 2025 EST
Intermediate ML: TensorFlow on Google Cloud
Earned fév. 9, 2025 EST
Explore Generative AI with the Gemini API in Vertex AI
Earned fév. 8, 2025 EST
Get Started with Sensitive Data Protection
Earned fév. 7, 2025 EST
Google Developer Essentials
Earned fév. 7, 2025 EST
Responsible AI for Developers: Privacy & Safety
Earned fév. 7, 2025 EST
Workspace: Add-ons
Earned fév. 6, 2025 EST
Prepare Data for ML APIs on Google Cloud
Earned fév. 6, 2025 EST
Cloud Speech API: 3 Ways
Earned fév. 4, 2025 EST
Build Real World AI Applications with Gemini and Imagen
Earned fév. 4, 2025 EST
Prompt Design in Vertex AI
Earned fév. 3, 2025 EST