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Apply your skills in Google Cloud console

PUSHPRAJSINH GOHIL

Учасник із 2025

Діамантова ліга

Кількість балів: 11453
Future Ready Skills Earned серп. 18, 2025 EDT
Skills Boost Arcade Base Camp August 2025 Earned серп. 18, 2025 EDT
Create ML Models with BigQuery ML Earned лип. 29, 2025 EDT
Machine Learning Operations (MLOps) for Generative AI Earned лип. 29, 2025 EDT
Develop Gen AI Apps with Gemini and Streamlit Earned лип. 28, 2025 EDT
Explore Generative AI with the Gemini API in Vertex AI Earned лип. 28, 2025 EDT
Inspect Rich Documents with Gemini Multimodality and Multimodal RAG Earned лип. 25, 2025 EDT
Build Real World AI Applications with Gemini and Imagen Earned лип. 23, 2025 EDT
Prompt Design in Vertex AI Earned лип. 23, 2025 EDT

Cloud roles are evolving fast—and staying future-ready means knowing more than just code. According to industry reports, over 70% of cloud professionals now work across app development, data engineering, and network management. This challenge is designed to equip you with skills across all three. You'll build dynamic apps with Flutter and Node.js, work with modern data tools like Firestore, LookML, and Cloud SQL, and strengthen your networking fundamentals with Cloud NAT, HA-VPN, and Private Google Access. There’s even a hands-on intro to machine learning with TensorFlow. These are the skills that don’t just meet today’s demands—they prepare you for what’s next!

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Welcome to Base Camp, where you’ll develop key Google Cloud skills (available in Spanish and Portuguese too!) and earn an exclusive credential that will open doors to the cloud for you. No prior experience is required!

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Complete the intermediate Create ML Models with BigQuery ML skill badge to demonstrate skills in creating and evaluating machine learning models with BigQuery ML to make data predictions.

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This course is dedicated to equipping you with the knowledge and tools needed to uncover the unique challenges faced by MLOps teams when deploying and managing Generative AI models, and exploring how Vertex AI empowers AI teams to streamline MLOps processes and achieve success in Generative AI projects.

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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 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 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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