AI Con USA 2025 - MLOps & AIOps
Sunday, June 8
Certified Data & Analytics Tester (DAU-CDAT)
Fundamentals of AI—ICAgile Certification (ICP-FAI)
Wednesday, June 11
Customer Churn Prediction Using MLFlow and Streamlit
This session will guide you through every stage of the machine learning process, from data preprocessing and feature engineering to model training, pipeline construction, and deployment. The session will begin by preparing and transforming data to ensure it’s ready for model training. Next, dive into building scalable ML pipelines within MLFlow, where you’ll learn how to track experiments, monitor model performance, and manage version control. These features enable a streamlined and reproducible workflow, empowering both beginner and experienced practitioners to understand and implement...
Decoding the Black Box: Unlocking LLM Observability
LLMs are revolutionizing AI, but their complexity and black-box nature can make it challenging to understand their behavior and ensure optimal performance. This session will demystify LLM observability, providing practical insights and best practices for gaining visibility into LLM interactions, performance, and security. Learn how to: discover the essential metrics to monitor for LLM health and performance, implement effective logging and tracing strategies to track LLM requests and identify bottlenecks, optimize LLM inference performance using profiling techniques, proactively detect and...