Lilly Tech Systems
Model Serving Architecture
Deploy models at scale with TensorFlow Serving, TorchServe, Triton, ensemble serving, and A/B testing.
Course Lessons
Follow these lessons in order for a complete understanding of model serving architecture.
1. Model Serving Overview
Learn about model serving overview in the context of model serving architecture.
2. TensorFlow Serving
Learn about tensorflow serving in the context of model serving architecture.
3. TorchServe Architecture
Learn about torchserve architecture in the context of model serving architecture.
4. Triton Inference Server
Learn about triton inference server in the context of model serving architecture.
5. Model Ensemble Serving
Learn about model ensemble serving in the context of model serving architecture.
6. A/B Testing Architecture
Learn about a/b testing architecture in the context of model serving architecture.
7. Serving at Scale
Learn about serving at scale in the context of model serving architecture.
What You'll Learn
By the end of this course, you will be able to:
Understand Core Concepts
Gain deep understanding of the principles and patterns that define model serving architecture.
Apply in Practice
Implement real-world solutions using the architectural patterns and code examples from each lesson.
Make Architecture Decisions
Evaluate trade-offs and choose the right approaches for your specific requirements and constraints.
Build Production Systems
Design and implement production-ready AI systems that are reliable, scalable, and maintainable.