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Elena Kuprienko

Member since 2026

Silver League

1238 points
AI Boost Bites: Become a Creative Mashup Artist Earned сент. 5, 2026 EDT
Understand Your Google Cloud Costs Earned июля 26, 2026 EDT
Introduction to AI and Machine Learning on Google Cloud Earned июня 7, 2026 EDT
AI Boost Bites: Your Personal Feedback Agent Earned июня 1, 2026 EDT
Build a Certification Study Guide: PMLE Earned мая 27, 2026 EDT
Introduction to Large Language Models Earned мая 10, 2026 EDT

In this video, you'll learn the "creative mashup artist" technique for combining images. You'll see how to generate a subject and a scene as two separate images, and then use a final blending prompt to fuse the astronaut from the first image and the court from the second into one new picture.

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This course is suitable for technology or finance roles managing Google Cloud costs. Learn to set up a billing account, organize resources, and manage access permissions. In hands-on labs, you view invoices and analyze billing data with BigQuery. You also use Google Sheets and create dashboards with Data Studio. You find references from the videos in this Additional Resources document.

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This course introduces Google Cloud's AI and machine learning (ML) capabilities, with a focus on developing both generative and predictive AI projects. It explores the various technologies, products, and tools available throughout the data-to-AI lifecycle, empowering data scientists, AI developers, and ML engineers to enhance their expertise through interactive exercises.

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This video covers how to build a personalized "Work with Me" agent using Gemini Gems, which helps streamline foundational feedback and makes your meetings more strategic and efficient.

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Learn how to use Gemini Notebook to create a personalized study guide for the Professional Machine Learning Engineer (PMLE) certification exam. You'll review Gemini Notebook features, create a notebook, and use the study guide to practice for a certification exam.

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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. Explore other content in the Gemini Agent Ready (GEAR) program.

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