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Anass Salmi

Member since 2025

Gold League

2197 points
[DEPRECATED] Vibe Coding for Beginners: From Zero to App Earned апр. 29, 2026 EDT
[DEPRECATED] Gemini for Data Scientists and Analysts Earned апр. 27, 2026 EDT
Build Data Lakes and Data Warehouses on Google Cloud Earned апр. 12, 2026 EDT
Introduction to Data Engineering on Google Cloud Earned апр. 7, 2026 EDT
AI Boost Bites: Prompting like a Pro with Google Workspace Earned апр. 3, 2026 EDT
Machine Learning Operations (MLOps) for Generative AI Earned дек. 28, 2025 EST

In this course, you'll learn how to build software with Gemini, Google’s generative AI. The best part is: Anyone can do this. It’s okay if you've never written code before. You just need to be curious and motivated, and we'll help you get from zero to app.

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In this course, you learn how Gemini, a generative AI-powered collaborator from Google Cloud, helps analyze customer data and predict product sales. You also learn how to identify, categorize, and develop new customers using customer data in BigQuery. Using hands-on labs, you experience how Gemini improves data analysis and machine learning workflows.

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While the traditional approaches of using data lakes and data warehouses can be effective, they have shortcomings, particularly in large enterprise environments. This course introduces the concept of a data lakehouse and the Google Cloud products used to create one. A lakehouse architecture uses open-standard data sources and combines the best features of data lakes and data warehouses, which addresses many of their shortcomings.

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In this course, you learn about data engineering on Google Cloud, the roles and responsibilities of data engineers, and how those map to offerings provided by Google Cloud. You also learn about ways to address data engineering challenges.

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This video covers prompt engineering fundamentals for effective AI communication. Learn a simple framework (Persona, Task, Context, Format) to craft clear prompts, getting better, faster results from Gemini in Google Workspace. Discover how to use natural language, be specific, and iterate for optimal AI assistance.

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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 Gemini Enterprise Agent Platform empowers AI teams to streamline MLOps processes and achieve success in Generative AI projects.

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