MLOps and LLMOps: Deploying and Scaling AI in Production
Completed by MD TAJUL ISLAM
August 19, 2026
17 hours (approximately)
MD TAJUL ISLAM's account is verified. Coursera certifies their successful completion of MLOps and LLMOps: Deploying and Scaling AI in Production
What you will learn
Configure CI/CD pipelines for ML and LLM systems using GitHub Actions and MLflow
Optimize LLM inference pipelines for reduced latency, token cost, and improved reliability
Build automated evaluation frameworks using LLM-as-a-Judge and quality gates
Instrument production AI systems with tracing, drift detection, and observability dashboards
Skills you will gain
- Category: Containerization
- Category: Large Language Modeling
- Category: Prompt Engineering
- Category: Responsible AI
- Category: Release Management
- Category: Continuous Deployment
- Category: Continuous Monitoring
- Category: Model Training
- Category: Retrieval-Augmented Generation
- Category: LLM Application
- Category: Data Ethics
- Category: CI/CD
