MLOps, LLMOps & AI Observability Training in UK

Participants will learn about MLOps pipelines, LLMOps principles, and observability techniques to ensure reliability, traceability, and performance of AI systems.

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MLOps, LLMOps & AI Observability Training is a professional training program delivered by ProgNXT, a globally recognized corporate training provider. ProgNXT's MLOps, LLMOps & AI Observability Training course in UK equips professionals with industry-relevant skills through hands-on, instructor-led sessions. This course provides hands-on and conceptual understanding of deploying, managing, and monitoring machine learning (ML) and large language model...

Expert Panel

Designed by the ProgNXT AI & Data Science Expert Panel, specializing in Generative AI, Machine Learning, and ChatGPT applications

ProgNXT AI & Data Science Expert Panel

Course Code: MIG63
21 Hrs
Course Rating 4.8/5
Last Updated: April 2026

This course provides hands-on and conceptual understanding of deploying, managing, and monitoring machine learning (ML) and large language model (LLM) applications in production. Participants will learn about MLOps pipelines, LLMOps principles, and observability techniques to ensure reliability, traceability, and performance of AI systems.

Welcome to the official MLOps, LLMOps & AI Observability Training certification program. This comprehensive training is designed to elevate your professional skills and provide you with practical, industry-relevant knowledge in in UK. As a globally recognized corporate training provider operating in 55+ countries, ProgNXT ensures that our curriculum meets the highest standards of excellence.

Whether you are looking to upskill your team or advance your personal career, our expert-led sessions will guide you through the core concepts of this domain. Upon successful completion of the 21 Hrs program, participants will receive a globally accepted certification, demonstrating their proficiency and readiness to tackle complex challenges in the field.

Basic knowledge of machine learning concepts
Familiarity with Python and Git
Understanding of cloud or container-based deployment (Docker, Kubernetes optional)