April 14, 2026
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Startwell - Main CampusRay Workshop: Toronto
Scale AI with confidence— Learn directly from Ray’s creators and power builders at this free technical hands-on workshops designed to help you move your AI workloads from experiment to production.
What to expect
Direct Expert Access
Engage directly with Ray’s creators and builders to get answers, insights, and best practices for productionizing AI.
Hands-on Workshops
Accelerate your path to production with an instructor-led Ray workshop covering Ray’s AI libraries.
Peer Networking
Connect with experienced engineers and AI teams and learn from shared experiences.
Agenda at a glance
12:00 - 12:30 PMRegistration + Networking
12:30 - 12:45 PMTraining Kickoff & Environment Setup
12:45 - 1:45 PMModule 1: Scaling Python for AI WorkloadsLearn Ray’s core concepts, including tasks, actors, and clusters. Understand how Ray scales Python and ML workloads, manage resources, and run distributed programs reliably across nodes.
1:45 - 2:45 PMModule 2: Building Scalable Data & RAG PipelinesExplore how to build scalable data pipelines. Learn to ingest, transform, and preprocess large, multimodal datasets efficiently to feed training and inference workloads. Build streaming pipelines that chunk documents, generate embeddings at scale, and populate vector stores to power RAG workflows.
2:45 - 3:00 PMBreak
3:00 - 3:50 PMModule 3: Distributed Training at scaleLearn how to scale model training using different model and data parallelism techniques like FSDP. Configure distributed training jobs, manage checkpoints, and integrate popular ML frameworks (like PyTorch) while maintaining reliability and performance at scale.
3:50 - 4:20 PMModule 4: Serving models in ProductionBuild and deploy scalable inference services. Learn request routing, autoscaling, and model composition patterns to serve models reliably in real-world production environments.
4:30 - 5:30 PM Q&A + Closing Remarks
Featured Speakers
Omar Shorbaji
Member of Technical Staff, Field Engineer
Omar Shorbaji
Member of Technical Staff, Field Engineer
Daniel Arrizza
Field Engineer
Daniel Arrizza
Field Engineer
Startwell - Main Campus
786 King St W, Toronto, ON M5V 1N6, Canada
