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Inicio 4 June 2026 04:15

Fin 4 June 2026

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GenAI for DevOps Practitioners

Como parte de la Academia GenAI, "GenAI para profesionales de DevOps" es un curso en profundidad que explora los efectos transformadores de la Inteligencia Artificial Generativa (GenAI) en DevOps. Esta introducción ayuda a los alumnos a descubrir las capacidades clave de GenAI mientras proporciona estrategias prácticas para adoptar estas pod.
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Resumen

As part of the GenAI Academy, "GenAI for DevOps Practitioners" is an in-depth course exploring the transformative effects of Generative Artificial Intelligence (GenAI) on DevOps. This primer helps learners discover key GenAI capabilities while providing practical strategies for adopting these powerful tools in everyday DevOps tasks.

Through engaging discussions, video demonstrations, and guided hands-on activities, participants will learn how GenAI can enhance productivity in areas such as code generation, Infrastructure as Code (IaC), CI/CD pipeline optimization, and automated documentation.

Designed for team leads, managers, and DevOps engineers, this course aims to boost efficiency and innovation by integrating GenAI tools into their workflows. It's also perfect for aspiring DevOps practitioners looking to future-proof their skills and gain a competitive edge with GenAI expertise.

Participants should possess a strong understanding of DevOps fundamentals, including CI/CD, Infrastructure as Code, and automation.

Familiarity with tools like Git, Jenkins, Docker, Kubernetes, and experience in Python or Shell scripting is essential. An open and curious mindset towards GenAI is crucial for success in this course.

By the end of the program, learners will have a thorough understanding of GenAI's capabilities in code generation, IaC, and CI/CD pipeline optimization.

They will have hands-on experience applying GenAI techniques to real-world DevOps tasks and will be able to evaluate the impact on productivity. Additionally, the course will cover ethical considerations, equipping learners with strategies for responsible GenAI integration while maintaining human oversight and accountability in their DevOps practices.


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