GenAI and Predictive AI Architecture Foundations

Course details

Get a clear understanding of how AI solutions actually work, starting with their basic architectures and advancing to system components and architectural differences between generative AI and predictive AI systems. Join LinkedIn Top Voice and best-selling author Thomas Erl as he breaks down and explains, in plain English, the foundational building blocks and the primary moving parts behind contemporary AI solution environments. This course provides genuine insight into how AI systems function in the real world, and is essential for professionals already working with application and enterprise architectures, as well as professionals in the AI and data science fields.

Concepts

Introduction

A behind-the-scenes look at AI systems
What you need to know
Essential terms and concepts

AI Solution Architecture Fundamentals

Basic AI solution operational modes
Basic AI architectural types
Common AI solution components

Core AI System Architecture

The data ingestion module
The data preprocessing module
The feature engineering module
The inference engine module
Data storage and model repository modules

AI Solution Monitoring Architecture

Monitoring architecture overview
Operational monitoring
Data monitoring
Model monitoring
Ancillary monitors

Predictive AI Solution Architecture Considerations

Core modules in predictive AI solutions
Monitors in predictive AI solutions

Generative Solution Architecture Considerations

Core modules in generative AI solutions
Monitors in generative AI solutions

Conclusion

Learn more about GenAI and predictive AI architecture