Learn to leverage Generative AI tools for optimizing DevOps workflows, including code generation, IaC, and CI/CD pipeline automation.
Learn to leverage Generative AI tools for optimizing DevOps workflows, including code generation, IaC, and CI/CD pipeline automation.
This comprehensive course explores the intersection of Generative AI and DevOps practices. Led by Ritesh Vajariya, it provides practical insights into applying GenAI tools for DevOps automation, code generation, and infrastructure management. Through hands-on demonstrations and real-world examples, participants learn to implement GenAI solutions for microservice architecture, infrastructure as code, and automated documentation. The course emphasizes practical applications while addressing ethical considerations and best practices for responsible AI integration in DevOps workflows.
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What you'll learn
Leverage GenAI for DevOps automation and workflow optimization
Implement AI-powered code generation for infrastructure as code
Optimize CI/CD pipelines using GenAI tools
Automate documentation and security scanning processes
Evaluate and mitigate risks in GenAI implementation
Skills you'll gain
This course includes:
47 Minutes PreRecorded video
1 assignment
Access on Mobile, Tablet, Desktop
FullTime access
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There is 1 module in this course
This course provides a comprehensive exploration of Generative AI applications in DevOps practices. Students learn to leverage GenAI tools for enhancing code generation, infrastructure as code development, and CI/CD pipeline optimization. The curriculum covers practical demonstrations of using tools like ChatGPT and GitHub Copilot for creating microservice architectures, generating Kubernetes manifests, and automating security scanning. Through hands-on examples and guided activities, learners develop skills to integrate GenAI effectively while considering ethical implications and maintaining accountability in DevOps practices.
GenAI for DevOps Practitioners
Module 1 · 2 Hours to complete
Fee Structure
Payment options
Financial Aid
Instructor
1 Course
Distinguished Marketing Scholar and Consumer Behavior Expert at IIM Bangalore
Professor S. Ramesh Kumar brings over 35 years of combined industrial and academic experience to his role at IIM Bangalore, where he specializes in marketing and consumer behavior. His research interests focus on the Branding-Consumer Behavior Interface, Cultural Dimensions in Marketing, and Consumer Behavior-Digital Marketing Interface, with particular emphasis on applying marketing concepts to the Indian context. Kumar has made significant contributions to academic literature, publishing numerous articles and case studies in reputed national and international journals, including the Journal of Integrated Marketing Communication, Journal of Brand Management, and Ivey Business Journal. His co-authored papers on leading Indian brands across categories demonstrate both academic rigor and practical relevance. Kumar has authored eight books on marketing and consumer behavior, and his textbook "Consumer Behavior" has become a standard reference in the field. His teaching excellence was recognized with the ICFAI Best Teacher Award from the Association for Indian Management Schools (AIMS). Before his retirement in June 2022, he served in various leadership positions at IIMB, including Chairperson of PGPEM and the Marketing area, contributing significantly to the institution's academic excellence and reputation in marketing education.
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