[RCAC Workshop] Designing Responsible AI Workflows (Practical Frameworks)
📅 Date: December 12th, 2025 ⏰ Time: 1:00PM-2:00PM 💻 Location: VIRTUAL 🏫 Instructor: Ashish
Who Should Attend Data scientists, machine learning engineers, software developers, and advanced students who want to operationalize large language models (LLMs) in production environments. Ideal for anyone building applications that go beyond experimentation and need scalability, monitoring, and reliability.
What You’ll Learn This training covers the end-to-end MLOps lifecycle tailored for LLMs. You’ll explore data collection and preprocessing, fine-tuning pipelines, model versioning, and deployment strategies for real-world applications. Key topics include prompt management, evaluation frameworks, monitoring drift, and integrating continuous feedback. By the end, you’ll understand how to bridge the gap between research prototypes and production-ready LLM systems.
Level Intermediate to advanced. Some prior experience with machine learning workflows and programming is recommended. 🔗 Register now:LINK