AgentOps & Production Reliability (LLM-Ops 2.0) on Jast Tech is a cutting-edge, industry-ready course designed for engineers and AI practitioners who want to go beyond basic LLM prototypes and build production-grade autonomous AI systems. As generative AI evolves, autonomous agents powered by LLMs are becoming central to workflows across customer support, incident response, automation, and decision support. However, real-world deployments reveal that without structured operational practices, such systems fail unpredictably due to tool failures, lack of observability, cost spikes, or semantic inconsistency. This course combines LLMOps fundamentals with advanced AgentOps paradigms — an operational discipline that extends DevOps and MLOps specifically for agent-centric systems. You’ll learn how to instrument LLM pipelines, enforce reliability guardrails, detect anomalies, conduct root cause analysis, manage multi-agent orchestration, and maintain system resilience at scale. Through hands-on labs, real production case studies, and architecting resilient workflows, you will be able to launch, monitor, and improve autonomous agents reliably, ensuring consistent business outcomes and SLA commitments. Upon completion, you’ll be capable of driving LLM-based systems from prototype to robust, scalable production deployments.