GenAI and Predictive AI Architecture Foundations

Focused View

Thomas Erl

1:16:02

0 View

01 - Introduction

01 - A behind-the-scenes look at AI systems.mp4

00:51

02 - What you need to know.mp4

00:58

03 - Essential terms and concepts.mp4

03:51

02 - 1. AI Solution Architecture Fundamentals

01 - Basic AI solution operational modes.mp4

03:54

02 - Basic AI architectural types.mp4

02:27

03 - Common AI solution components.mp4

05:38

03 - 2. Core AI System Architecture

01 - The data ingestion module.mp4

04:04

02 - The data preprocessing module.mp4

03:02

03 - The feature engineering module.mp4

03:12

04 - The inference engine module.mp4

04:29

05 - Data storage and model repository modules.mp4

03:06

04 - 3. AI Solution Monitoring Architecture

01 - Monitoring architecture overview.mp4

04:19

02 - Operational monitoring.mp4

02:37

03 - Data monitoring.mp4

04:11

04 - Model monitoring.mp4

03:19

05 - Ancillary monitors.mp4

03:42

05 - 4. Predictive AI Solution Architecture Considerations

01 - Core modules in predictive AI solutions.mp4

04:25

02 - Monitors in predictive AI solutions.mp4

05:32

06 - 5. Generative Solution Architecture Considerations

01 - Core modules in generative AI solutions.mp4

05:07

02 - Monitors in generative AI solutions.mp4

06:35

07 - Conclusion

01 - Learn more about GenAI and predictive AI architecture.mp4

00:43

Description

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.

More details

User Reviews

Rating

average 0

Total votes0

Focused display

Artificial Intelligence

Thomas Erl

Instructor's Courses

Linkedin Learning

View courses Linkedin Learning

LinkedIn Learning is an American online learning provider. It provides video courses taught by industry experts in software, creative, and business skills. It is a subsidiary of LinkedIn. All the courses on LinkedIn fall into four categories: Business, Creative, Technology and Certifications. It was founded in 1995 by Lynda Weinman as Lynda.com before being acquired by LinkedIn in 2015. Microsoft acquired LinkedIn in December 2016.