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tuna poku

Member since 2023

Gold League

2756 points
Create ML Models with BigQuery ML Earned нояб. 13, 2025 EST
Prompt Design in Vertex AI Earned нояб. 13, 2025 EST
Derive Insights from BigQuery Data Earned нояб. 12, 2025 EST
Working with Notebooks in Vertex AI Earned нояб. 11, 2025 EST
Machine Learning Operations (MLOps): Getting Started Earned нояб. 11, 2025 EST
Introduction to Generative AI Earned нояб. 8, 2025 EST
Machine Learning Operations (MLOps) for Generative AI Earned нояб. 5, 2025 EST
Introduction to Large Language Models Earned нояб. 5, 2025 EST
Professional Machine Learning Engineer Study Guide Earned нояб. 5, 2025 EST
Data Storage Quiz: Store and Manage My Data Efficiently Earned авг. 6, 2025 EDT
Scalability Quiz: Make My Application Scalable and Reliable Earned авг. 6, 2025 EDT
Data Insights Quiz: Analyze My Data to Gain Insights Earned авг. 6, 2025 EDT
Application Developer Quizathon Earned авг. 1, 2024 EDT
Data Professional Quizathon Earned нояб. 14, 2023 EST

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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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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Complete the introductory Derive Insights from BigQuery Data skill badge course to demonstrate skills in the following: Write SQL queries.Query public tables.Load sample data into BigQuery.Troubleshoot common syntax errors with the query validator in BigQuery.Create reports in Looker Studio by connecting to BigQuery data.

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This course is an introduction to Vertex AI Notebooks, which are Jupyter notebook-based environments that provide a unified platform for the entire machine learning workflow, from data preparation to model deployment and monitoring. The course covers the following topics: (1) The different types of Vertex AI Notebooks and their features and (2) How to create and manage Vertex AI Notebooks.

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This course introduces participants to MLOps tools and best practices for deploying, evaluating, monitoring and operating production ML systems on Google Cloud. MLOps is a discipline focused on the deployment, testing, monitoring, and automation of ML systems in production. Machine Learning Engineering professionals use tools for continuous improvement and evaluation of deployed models. They work with (or can be) Data Scientists, who develop models, to enable velocity and rigor in deploying the best performing models.

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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 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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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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This course helps learners create a study plan for the PMLE (Professional Machine Learning Engineer) certification exam. Learners explore the breadth and scope of the domains covered in the exam. Learners assess their exam readiness and create their individual study plan.

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Google の様々なストレージやデータベースの選択肢を活用すれば、多様なデータや処理(ワークロード)を効率よく管理できます。

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Google の頑丈なインフラと自動でオートスケーリング機能があれば、あなたのアプリケーションはアクセスが急に増えても問題なく動き続け、いつでも利用可能です。

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Google のスケーラブルな分析ツールを活用すれば、情報の処理、保管、可視化を通じて、データから価値あるインサイトを引き出すことができます。

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Welcome to the Quizathon! Check your Application Development expertise.

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Welcome to the Quizathon! Check your database expertise in Google Cloud.

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