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Rishabh Kothiyal

Member since 2024

Diamond League

13528 points
AI Services and GDC Deployments and Operations Earned Jan 13, 2026 EST
Introduction to Security Principles in Cloud Computing Earned Jan 12, 2026 EST
Compute, Network, and Storage Services Configuration in GDC Earned Jan 10, 2026 EST
GDC Platform Introduction Earned Jan 4, 2026 EST
Encoder-Decoder Architecture Earned Jan 2, 2026 EST
Design Foundations for Streaming with Google Cloud Earned Jan 2, 2026 EST
Introduction to Data Analytics in Google Cloud Earned Dec 28, 2025 EST
Security Command Center Fundamentals Earned Dec 28, 2025 EST
Introduction to Responsible AI Earned May 22, 2024 EDT
Introduction to Large Language Models Earned May 22, 2024 EDT
Introduction to Generative AI Earned May 22, 2024 EDT

The course explores advanced services such as machine learning, and operational topics such as application deployment, monitoring, and troubleshooting. In addition, we’ll introduce GDC software upgrades, logging, billing, and cost monitoring.

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This is the first of five courses in the Google Cloud Cybersecurity Certificate. In this course, you’ll explore the essentials of cybersecurity, including the security lifecycle, digital transformation, and key cloud computing concepts. You’ll identify common tools used by entry-level cloud security analysts to automate tasks.

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The course examines service resources or workload components that exist in projects. You’ll learn about Kubernetes in GDC, Artifact Registry, GDC Object Storage, Database Service, Networking, and Key Management and Security.

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This course provides an introduction to the GDC platform—which enables you to host, control, and manage infrastructure and services directly on your premises. GDC air-gapped is one component of Google Distributed Cloud offering which aligns to Google’s digital sovereignty vision. It supports public-sector customers and commercial entities that have strict data residency, security or privacy requirements.

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This course gives you a synopsis of the encoder-decoder architecture, which is a powerful and prevalent machine learning architecture for sequence-to-sequence tasks such as machine translation, text summarization, and question answering. You learn about the main components of the encoder-decoder architecture and how to train and serve these models. In the corresponding lab walkthrough, you’ll code in TensorFlow a simple implementation of the encoder-decoder architecture for poetry generation from the beginning.

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This course shows learners the benefits of using Google Cloud to stream and broadcast content. The course provides a high-level overview of the infrastructure required for streaming and broadcasting.

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This is the first of five courses in the Google Cloud Data Analytics Certificate. In this course, you’ll define the field of cloud data analysis and describe roles and responsibilities of a cloud data analyst as they relate to data acquisition, storage, processing, and visualization. You’ll explore the architecture of Google Cloud-based tools, like BigQuery and Cloud Storage, and how they are used to effectively structure, present, and report data.

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Learn about the fundamental features of Security Command Center on Google Cloud. Spend time in this course to understand assets, detection and compliance. Security Command Center is a key part of your Google Cloud security journey, complete these modules and quiz to earn a completion badge.

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This is an introductory-level microlearning course aimed at explaining what responsible AI is, why it's important, and how Google implements responsible AI in their products. It also introduces Google's 3 AI principles.

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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 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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