Leveraging Reusable AI Architecture Patterns
Artificial Intelligence
| Intermediate
- 14 videos | 49m 45s
- Includes Assessment
- Earns a Badge
AI architecture patterns, some of which have been known for many years, have been formally identified as such only in the last couple of years. In this course, you'll identify 12 reusable, standard AI architecture patterns, and 3 AI architecture anti-patterns frequently used to architect common AI applications. You'll learn to differentiate between architecture and design patterns and explore how they're used. Next, you'll examine the structure of an AI architecture pattern, and that of an anti-pattern and its different parts. You'll identify when specific patterns should or can be used, when they need to be avoided, and how to avoid using anti-patterns. You will also learn that even good patterns can become anti-patterns when applied to solve a problem they were not intended for.
WHAT YOU WILL LEARN
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discover the key concepts covered in this course
recognize and contrast AI architecture and design patterns
identify which patterns are used in each AI development phase
describe how the Federated Learning pattern works
describe how the Data Lake pattern works
describe how the Distinguish Business Logic from ML Models pattern works
describe how the Gateway Routing Architecture pattern works -
describe how the Data-algorithm-serving-evaluator pattern works
describe how the Closed-loop Intelligence pattern works
describe how the Daisy Architecture pattern works
describe how Kappa and Lambda architecture patterns work
describe how Microservices and Event-driven ML Microservices patterns work
identify the anti-patterns commonly found in AI architecture
summarize the key concepts covered in this course
IN THIS COURSE
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1m 57s
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6m 36sAfter completing this video, you will be able to recognize and contrast AI architectures and design patterns. FREE ACCESS
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3. Architecture Patterns in AI Development Life Cycles6m 48sFind out how to identify which patterns are used in each phase of AI development. FREE ACCESS
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4. Federated Learning Pattern2mAfter completing this video, you will be able to describe how Federated Learning works. FREE ACCESS
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5. Data Lake Pattern2m 40sAfter completing this video, you will be able to describe how the Data Lake pattern works. FREE ACCESS
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6. Distinguish Business Logic from ML Models Pattern3m 18sAfter completing this video, you will be able to describe how the Distinguish Business Logic from ML Models pattern works. FREE ACCESS
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7. Gateway Routing Architecture Pattern1m 29sAfter completing this video, you will be able to describe how the Gateway Routing Architecture pattern works. FREE ACCESS
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8. Data-algorithm-serving-evaluator Pattern2m 48sAfter completing this video, you will be able to describe how the Data-algorithm-serving-evaluator pattern works. FREE ACCESS
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9. Closed-loop Intelligence Pattern4m 16sUpon completion of this video, you will be able to describe how the Closed-loop Intelligence pattern works. FREE ACCESS
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10. Daisy Architecture Pattern2m 28sAfter completing this video, you will be able to describe how the Daisy Architecture pattern works. FREE ACCESS
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11. Kappa and Lambda Architecture Patterns3m 16sUpon completion of this video, you will be able to describe how the Kappa and Lambda architecture patterns work. FREE ACCESS
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12. Microservices and Event-driven ML Microservices Patterns3m 59sUpon completion of this video, you will be able to describe how Microservices and Event-driven ML patterns work. FREE ACCESS
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13. AI Architecture Anti-patterns6m 18sDuring this video, you will learn how to identify common anti-patterns in AI architecture. FREE ACCESS
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14. Course Summary1m 52sIn this video, we will summarize the key concepts covered in this course. FREE ACCESS
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