Feb 24
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Welcome to the Regular LIVE Class on MLOps, LLMOps, AIOps, and AI Agents by Rajinikanth Vadla. In this session, we focus on how real companies build, deploy, monitor, and scale Machine Learning and LLM systems using industry-grade MLOps and AIOps practices. This is NOT theory. This class is designed for real-world engineers, DevOps professionals, ML engineers, and cloud engineers who want to work on production-ready AI platforms. 🔹 What you will learn in this class: • End-to-end MLOps lifecycle (training → deployment → monitoring) • LLMOps architecture for large language models • AIOps for infrastructure, logs, metrics, and alerts • AI Agents for automation, RCA, and intelligent operations • Kubernetes, Docker, CI/CD, monitoring & scaling • Real-world workflows used in product companies 🔹 Who should attend: • DevOps Engineers moving to MLOps • ML Engineers who want platform & deployment skills • Cloud Engineers working with AI workloads • Freshers & working professionals targeting AI-Ops roles This regular class is part of a structured MLOps, LLMOps, and AIOps training program with live demos, hands-on labs, and real production use cases. Instructor: Rajinikanth Vadla (AIOps Engineer | MLOps Architect | DevOps Trainer) 📌 Subscribe for regular AI, MLOps, AIOps, and AI Agent sessions. 📌 Like & share if you are serious about building a future-proof AI career. MLOps LLMOps AIOps AI Agents MLOps training LLMOps training AIOps training AI Agents tutorial MLOps live class LLMOps live class AIOps live class DevOps to MLOps AI Ops Engineer MLOps real world projects LLM deployment LLM monitoring AI infrastructure Machine Learning DevOps AI for DevOps Rajinikanth Vadla MLOps India #MLOps #LLMOps #AIOps #AIAgents #MLOpsTraining #LLMOpsTraining #AIOpsTraining #AIAgentsTraining #MLOpsLiveClass #LLMOpsLive #AIOpsLive #DevOpsToMLOps #AIForDevOps #MLOpsEngineer #AIOpsEngineer #LLMDeployment #AIInfrastructure #Kubernetes #Docker #RajinikanthVadla