Introduction
Introduction
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What you need to know
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Understanding design patterns
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1. Data-Centric Design Patterns
Data-centric design patterns overview
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Data lake architecture
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Data warehouse
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Big data system
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Feature store
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Data pipeline orchestration
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Bringing it all together: AI data architecture
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2. Model-Centric Design Patterns
Model-centric design patterns overview
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Continuous learning
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Reinforcement learning
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Transfer learning
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Heuristic learning
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Ensemble learning
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Model pipeline orchestration
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Bringing it all together: Automating model training
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3. Application-Centric Design Patterns
Application-centric design patterns overview
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Distributed AI processing
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AI microservice architecture
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AI service containerization
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Service orchestration
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Bringing it all together: AI application architecture
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Conclusion
Integrating AI platforms
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Next steps
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