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100 Days of GenAI for DevOps series launches in English and Hindi

By PulseAugur Editorial · [2 sources] ·

A series titled "100 Days of GenAI for DevOps" has launched, aiming to educate DevOps, SRE, and Platform engineers on integrating generative AI into their workflows. The series covers foundational concepts like how Large Language Models process prompts and the role of GPUs in AI workloads. The content is available in both English and Hindi, with instructor-led training options also offered. AI

IMPACT Aims to equip DevOps professionals with essential GenAI and GPU knowledge for modern infrastructure management.

RANK_REASON This is a multi-part educational series and training offering, not a core AI release or research milestone.

Read on dev.to — LLM tag →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

100 Days of GenAI for DevOps series launches in English and Hindi

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Newsworthiness bucket
Tool
This is a multi-part educational series and training offering, not a core AI release or research milestone.
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2 independent sources
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Topics
product, infra
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High
Clearly on-topic for AI-industry coverage.
Story freshness
82 days old
Aged out of breaking-news scoring windows; ranking reflects the durable signal from the full source set.

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COVERAGE [2]

  1. dev.to — LLM tag TIER_1 English(EN) · Prashant Lakhera ·

    🚀 Welcome to Day 2 of 100 Days of GenAI for DevOps! Today's topic is GPU Deep Dive.

    <p>As AI adoption continues to grow, understanding GPUs is becoming an essential skill for DevOps, Platform, and SRE engineers. Whether you're deploying LLMs, optimizing AI workloads, or managing AI infrastructure, GPUs are at the heart of modern AI systems.<br /> In this session…

  2. dev.to — LLM tag TIER_1 English(EN) · Prashant Lakhera ·

    🚀 The wait is over! We are officially kicking off Day 1 of our 100 Days of GenAI for DevOps journey! 🎉

    <p>This is a special milestone because, for the first time ever, the entire series is available in both English and Hindi, making it accessible to even more DevOps engineers and AI enthusiasts.</p> <p>Before we jump into building AI-powered DevOps solutions, there's one question …

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