AI & ML
LLM Ops Masterclass
A comprehensive workshop on deploying, monitoring, and optimizing large language models in production environments.
Duration
2 days
Level
Advanced
Audience
ML Engineers, DevOps
This intensive workshop is designed for ML engineers and DevOps professionals who need to deploy and manage large language models in production environments.
Participants will learn the entire lifecycle of LLM operations, from model selection and fine-tuning to deployment, monitoring, and optimization.
Prerequisites
- Experience with Python programming
- Basic understanding of machine learning concepts
- Familiarity with cloud platforms (AWS, GCP, or Azure)
Who Should Attend
- ML Engineers looking to operationalize LLMs
- DevOps Engineers supporting ML teams
- Technical leaders overseeing AI infrastructure
What You'll Learn
Deploy LLMs efficiently in various production environments
Fine-tune models for specific use cases
Implement proper monitoring and observability
Optimize performance and reduce operational costs
Handle model versioning and testing
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Register for this workshop or request more information.
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