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Débute 4 June 2026 03:43

Se termine 4 June 2026

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GenAI for DevOps Practitioners

Dans le cadre de la GenAI Academy, "GenAI pour les praticiens DevOps" est un cours approfondi explorant les effets transformateurs de l'intelligence artificielle générative (GenAI) sur le DevOps. Cette introduction aide les apprenants à découvrir les capacités clés de GenAI tout en fournissant des stratégies pratiques pour adopter ces outils.
via Coursera

2865 Cours


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Aperçu

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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