Operationalize Generative AI Applications (FMOps/LLMOps)

This course provides an overview of challenges in productionizing LLMs and a set of tools available to solve them. The course will provide an overview of the reference architecture for developing, deploying, and operationalizing LLMs, as well as expand on each stage of the process. This course includes presentations, real-world examples and case studies.

• LLM architecture and production planning
• Operational workflows for AI deployment (FMOps/LLMOps)
• Model performance monitoring and optimization
• Tool selection for scalable and secure AI implementation

• Understand the full process of turning a generative AI model into a production-grade application
• Gain knowledge of FMOps and LLMOps strategies for model lifecycle management
• Learn how to troubleshoot common challenges and apply best practices using real-world examples

• Real-world examples and enterprise case studies
• Step-by-step explanation of deployment stages
• Presentations outlining reference architecture
• Certificate of completion