Abhinav kumar Dixit
Учасник із 2026
Срібна ліга
Кількість балів: 1669
App Building with AppSheet
Earned лип. 18, 2026 EDT
Deploy Kubernetes Applications on Google Cloud
Earned трав. 20, 2026 EDT
Machine Learning Operations (MLOps) with Agent Platform: Model Evaluation
Earned трав. 14, 2026 EDT
Machine Learning Operations (MLOps) for Generative AI
Earned трав. 6, 2026 EDT
[DEPRECATED] AI Boost Bites: AI Power-Ups for Google Workspace
Earned трав. 5, 2026 EDT
AI Boost Bites: Tame Your Inbox with AI
Earned трав. 5, 2026 EDT
AI Boost Bites: Prompting like a Pro with Google Workspace
Earned трав. 5, 2026 EDT
AI Boost Bites: Your Personal Feedback Agent
Earned трав. 5, 2026 EDT
[DEPRECATED] AI Boost Bites: Intro to NotebookLM
Earned трав. 5, 2026 EDT
AI Boost Bites: Gemini Image-to-Sheets Hack
Earned трав. 5, 2026 EDT
Earn a skill badge by completing the App Building with AppSheet course, where you learn how to build, configure, and publish apps using AppSheet.
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Complete the intermediate Deploy Kubernetes Applications on Google Cloud skill badge course to demonstrate skills in the following: Configuring and building Docker container images.Creating and managing Google Kubernetes Engine (GKE) clusters.Utilizing kubectl for efficient cluster management.Deploying Kubernetes applications with robust continuous delivery (CD) practices.
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This course equips machine learning practitioners with the essential tools, techniques, and best practices for evaluating both generative and predictive AI models. Model evaluation is a critical discipline for ensuring that ML systems deliver reliable, accurate, and high-performing results in production.
Participants will gain a deep understanding of various evaluation metrics, methodologies, and their appropriate application across different model types and tasks. The course will emphasize the unique challenges posed by generative AI models and provide strategies for tackling them effectively. By leveraging Google Cloud's Agent Platform, participants will learn how to implement robust evaluation processes for model selection, optimization, and continuous monitoring.
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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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This video covers five key ways to use Google's AI tools, including Gemini in Workspace, the Gemini app, and NotebookLM, to enhance your daily productivity.
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This video covers how to use Gemini in Gmail to summarize emails, find information, and draft replies, helping you manage your inbox more efficiently.
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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 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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This video covers how to use NotebookLM as a personal research
assistant by adding sources, asking questions, and generating new content
formats based on your documents.
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This video covers how to eliminate tedious manual data entry using Gemini. Learn how to take a picture or screenshot of data (from PDFs, paper, or images) and prompt Gemini to instantly convert it into a structured Google Sheet. Discover this simple hack to save countless hours transcribing data, turning Gemini into your personal data entry assistant. Just snap, prompt, and export!
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