Essential Guide to LLMOps
Completed by peter sehested
January 8, 2026
10 hours (approximately)
peter sehested's account is verified. Coursera certifies their successful completion of Essential Guide to LLMOps
What you will learn
Understand the evolution and impact of large language models in AI
Differentiate LLMOps from traditional MLOps and apply relevant strategies
Leverage tools for efficient LLM lifecycle management and model governance
Skills you will gain
- Category: Continuous Monitoring
- Category: Model Deployment
- Category: Data Collection
- Category: Model Optimization
- Category: MLOps (Machine Learning Operations)
- Category: Generative AI
- Category: Scalability
- Category: LLM Application
- Category: Model Training
- Category: Data Processing
- Category: Artificial Intelligence
- Category: Model Evaluation
