{"id":11125,"date":"2026-08-10T10:28:08","date_gmt":"2026-08-10T10:28:08","guid":{"rendered":"https:\/\/nokobox.com\/index.php\/item\/udemy-llmops-and-aiops-bootcamp-with-8-end-to-end-projects-2026-4\/"},"modified":"2026-08-10T10:28:08","modified_gmt":"2026-08-10T10:28:08","slug":"udemy-llmops-and-aiops-bootcamp-with-8-end-to-end-projects-2026-4","status":"publish","type":"digital_item","link":"https:\/\/nokobox.com\/index.php\/item\/udemy-llmops-and-aiops-bootcamp-with-8-end-to-end-projects-2026-4\/","title":{"rendered":"Udemy \u2013 LLMOps And AIOps Bootcamp With 8 End To End Projects 2026-4"},"content":{"rendered":"
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Description<\/h2>\n

LLMOps And AIOps Bootcamp With 8 End To End Projects<\/strong> is a course on the skills needed to deploy, monitor, and manage large language models (LLMs) and AI systems published by Udemy Online Academy. It is a practical, industry-focused course that equips individuals with the skills needed to deploy, monitor, and manage large language models (LLMs) and AI systems in real-world production environments. Designed for data scientists, MLOps engineers, and AI professionals, the bootcamp emphasizes hands-on experience through a series of comprehensive projects that bridge the gap between AI development and operations.<\/p>\n

This comprehensive, hands-on course on LLMOps is designed for developers, data scientists, MLOps engineers, and AI enthusiasts who want to build, manage, and deploy scalable LLM applications using advanced tools and modern cloud-native technologies. In this course, you will learn how to bridge the gap between building powerful LLM applications and deploying them to real-world production environments using GitHub, Jenkins, Docker, Kubernetes, FastAPI, cloud services (AWS and GCP), and CI\/CD pipelines. You will also learn how to manage infrastructure and orchestration using Kubernetes (Minikube, GKE), AWS Fargate, and Google Artifact Registry (GAR).<\/p>\n

What you will learn in LLMOps And AIOps Bootcamp With 8 End To End Projects:<\/h3>\n