Welcome to the fourth part of this learning plan centered around operational excellence for generative AI applications.In this part, you'll learn how to implement cost optimization and resource efficiency strategies, optimize application performance through pre-computation and retrieval systems, and implement comprehensive monitoring systems specifically designed for generative AI workloads. You'll master techniques for throughput optimization, parameter tuning, API profiling, and automated anom
Gen AI Dev- Implementing Cost Opt. & Resource Eff Strategies
Gen AI Dev- Implementing Cost Opt. & Resource Eff Strategies
This course is part of AWS Generative AI Developer Advanced Specialization
Instructor: AWS Instructor
Access provided by Coursera for Reliance Family
Gain insight into a topic and learn the fundamentals.
Advanced level
Recommended experience
2 hours to complete
Flexible schedule
Learn at your own pace
What you'll learn
Implement token estimation and tracking mechanisms to optimize foundation models
Design capacity planning strategies for foundation model deployments on AWS
Apply monitoring and maintenance best practices for intelligent caching systems
Details to know
Shareable certificate
Add to your LinkedIn profile
Assessments
1 assignment
Taught in English
Recently updated!
September 2026
See how employees at top companies are mastering in-demand skills
Build your subject-matter expertise
This course is part of the AWS Generative AI Developer Advanced Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate
There are 6 modules in this course
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.
Instructor
Offered by
Why people choose Coursera for their career
Felipe M.
Learner since 2018
"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."
Jennifer J.
Learner since 2020
"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."
Larry W.
Learner since 2021
"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."
Chaitanya A.
"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."
Explore more from Data Science
Amazon Web Services
Amazon Web Services
Amazon Web Services
Amazon Web Services