Selecting the appropriate architecture for a large language model (LLM) application is a critical decision for any technical team, influencing costs, performance, and security. The course "Design, Compare and Analyze LLM Architectures" is tailored for engineers, architects, and technical leads involved in these pivotal "build vs. buy" assessments. It offers a structured approach to designing and justifying system architectures. Learners will learn to enhance their visual communication skills by creating sequence diagrams that illustrate the trade-offs between synchronous and asynchronous processing flows. The course also emphasizes strategic analysis of deployment options, comparing self-hosting an open-source model with utilizing a managed API. Key skills developed include calculating Total Cost of Ownership (TCO), evaluating latency, and understanding data privacy implications, enabling participants to make informed, business-focused recommendations. By the end of this course, you will be able to confidently design, defend, and document your architectural choices to any stakeholder.

Design, Compare and Analyze LLM Architectures

Design, Compare and Analyze LLM Architectures
This course is part of Microservices Architecture for AI Systems Specialization

Instructor: LearningMate
Access provided by PALC Dev
Gain insight into a topic and learn the fundamentals.
Intermediate level
Recommended experience
2 hours to complete
Flexible schedule
Learn at your own pace
What you'll learn
Design and justify LLM architectures by modeling system flows and analyzing self-hosting vs. managed API trade-offs.
Skills you'll gain
Tools you'll learn
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Taught in English
Recently updated!
February 2026
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This course is part of the Microservices Architecture for AI Systems Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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