Mastering AI and Machine Learning for DevOps Engineers

Name: Mastering AI and Machine Learning for DevOps Engineers
Brand: Independently Published
SKU: 9798308781660
Price: 1606.0 INR
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by Shantanu Dalal

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ISBN13: 9798308781660
Binding: Paperback
Subject: N/A
Publisher: Independently Published
Publisher Imprint: Independently Published
Publication Date: January 29, 2025
Pages: 80
Original Price: USD 14.89
Language: English
Edition: N/A
Item Weight: 118 grams
BISAC Subject(s): General

About The Book

Mastering AI and Machine Learning for DevOps Engineers - Unlock the Power of AI in DevOps

The world of DevOps is evolving rapidly, and Artificial Intelligence (AI) and Machine Learning (ML) are becoming essential tools for automating, optimizing, and scaling modern development and deployment pipelines. Mastering AI and Machine Learning for DevOps Engineers is a comprehensive guide designed to help professionals integrate AI-driven techniques into DevOps workflows, enhancing efficiency, reliability, and innovation.

This book bridges the gap between DevOps practices and AI capabilities, providing practical insights, real-world examples, and hands-on techniques that empower engineers, developers, and IT professionals to leverage ML models for automation, predictive analytics, and intelligent decision-making.

What You'll Learn in This Book:

✅ Fundamentals of AI & ML for DevOps - Understand key AI/ML concepts and how they apply to automation, monitoring, and infrastructure optimization.
✅ Automating DevOps Pipelines with AI - Learn how AI enhances CI/CD workflows, error detection, and self-healing systems.
✅ Predictive Analytics in DevOps - Use ML models to forecast system failures, optimize resources, and improve software delivery cycles.
✅ AI-Driven Monitoring & Observability - Implement AI-powered tools for log analysis, anomaly detection, and security threat mitigation.
✅ Infrastructure as Code (IaC) with AI - Enhance Terraform, Kubernetes, and cloud automation with intelligent decision-making models.
✅ Machine Learning in Cloud & Edge Computing - Deploy AI models in AWS, Azure, and Kubernetes clusters for efficient DevOps operations.
✅ ChatOps & AI Assistants for DevOps - Integrate AI-driven bots and virtual assistants for faster collaboration and incident response.
✅ Real-World Use Cases & Case Studies - Explore successful AI implementations in DevOps and how leading tech companies leverage ML-driven automation.

Who Is This Book For?

DevOps Engineers & SREs looking to integrate AI into their automation pipelines.
Software Developers & Architects who want to understand how ML enhances modern application development.
IT Managers & Cloud Engineers aiming to implement AI-powered monitoring, security, and infrastructure automation.
Data Scientists & AI Enthusiasts exploring AI-driven solutions for DevOps challenges.

Why This Book?

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