Lilly Tech Systems
AI Architecture Patterns & Anti-Patterns
Learn proven architecture patterns and common anti-patterns for data management, training, serving, and monitoring.
Course Lessons
Follow these lessons in order for a complete understanding of ai architecture patterns & anti-patterns.
1. Pattern Catalog Overview
Learn about pattern catalog overview in the context of ai architecture patterns & anti-patterns.
2. Data Management Patterns
Learn about data management patterns in the context of ai architecture patterns & anti-patterns.
3. Training Patterns
Learn about training patterns in the context of ai architecture patterns & anti-patterns.
4. Serving Patterns
Learn about serving patterns in the context of ai architecture patterns & anti-patterns.
5. Monitoring Patterns
Learn about monitoring patterns in the context of ai architecture patterns & anti-patterns.
6. Common Anti-Patterns
Learn about common anti-patterns in the context of ai architecture patterns & anti-patterns.
7. Pattern Selection Guide
Learn about pattern selection guide in the context of ai architecture patterns & anti-patterns.
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 ai architecture patterns & anti-patterns.
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.