MLOps & AI Automation

Introduction

As AI systems scale, organizations require robust processes to automate training, deployment, and monitoring. This course introduces the tools and techniques behind MLOps, enabling continuous integration and delivery for AI pipelines. Participants will learn how to automate workflows, manage models in production, and ensure reliability. Hands-on labs demonstrate real tools used in modern ML operations. By the end, learners will be prepared to build production-ready ML pipelines.

Course Objectives

• Understand MLOps principles and architecture
• Automate model training and deployment
• Implement monitoring and CI/CD for AI
• Manage model versioning and lineage
• Use modern MLOps tools effectively

Target Audience

• ML engineers
• DevOps specialists
• Data scientists deploying models
• Software engineers transitioning to MLOps
• Students pursuing applied AI engineering