Optimize AI system operations through automation, cost management, and data governance for enterprise-scale efficiency. This course teaches you to automate maintenance workflows, analyze cloud spending, and implement systematic data governance to keep AI systems performing at peak efficiency while controlling costs.
Optimizing AI System Operations and Costs
Optimizing AI System Operations and Costs
This course is part of GenAI Ops: Running Powerful Generative AI Systems Professional Certificate
Instructor: Professionals from the Industry
Included with
Gain insight into a topic and learn the fundamentals.
Intermediate level
Recommended experience
1 week to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
What you'll learn
Automate AI system maintenance using strategic patching, MTTR analysis, and self-healing playbooks that ensure 99.9% uptime
Optimize cloud costs through resource utilization analysis, pricing strategies, and predictive models for budget planning
Implement automated data governance with metadata analysis, GDPR compliance, and standardized onboarding workflows
Coordinate cross-functional operations combining security, development, and finance teams for sustainable AI systems
Details to know
Shareable certificate
Add to your LinkedIn profile
Recently updated!
February 2026
Taught in English
See how employees at top companies are mastering in-demand skills
Build your Data Management expertise
This course is part of the GenAI Ops: Running Powerful Generative AI Systems Professional Certificate
When you enroll in this course, you'll also be enrolled in this Professional Certificate.
- 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 from Coursera
There are 10 modules in this course
You will learn to apply strategic patch management approaches that optimize security posture while maintaining business continuity for AI systems infrastructure. It bridges theoretical frameworks with practical, enterprise-scale implementation techniques.
What's included
3 videos1 reading2 assignments
You will gain skills in MTTR trend analysis techniques that identify system resilience patterns and enable proactive infrastructure improvements for AI operations.
What's included
3 videos1 reading1 assignment
You will develop comprehensive Ansible playbooks with automated triggers and notification workflows that enable self-healing AI systems infrastructure through proactive monitoring response.
What's included
2 videos1 reading3 assignments
You will develop expertise in systematically analyzing cloud resource allocation patterns versus actual utilization to identify waste, performance bottlenecks, and cost-optimization opportunities.
What's included
1 video1 reading2 assignments
You will strengthen your ability in comprehensive evaluation of cloud pricing models to make strategic procurement decisions that optimize costs while maintaining performance requirements for AI and ML workloads.
What's included
2 videos2 readings2 assignments
You will build proficiency in developing sophisticated cost-forecasting models that integrate historical consumption patterns with planned business initiatives to enable proactive budget planning and strategic financial governance.
What's included
1 video1 reading3 assignments
You will gain skills in systematically analyzing enterprise metadata catalogs to identify redundant datasets, assess data staleness, and implement optimization strategies that reduce storage costs while improving data quality.
What's included
2 videos1 reading2 assignments
You will apply the systematic evaluation of data retention policies to ensure regulatory compliance while optimizing storage costs through strategic lifecycle management.
What's included
3 videos2 readings2 assignments
You will design and implement comprehensive automated data onboarding processes that ensure consistency, quality, and scalability while reducing manual overhead and accelerating AI development cycles.
What's included
2 videos2 readings3 assignments
You will acquire the critical operational skills needed to keep AI systems running reliably while controlling costs and ensuring data quality. You'll learn to automate maintenance workflows, analyze cloud spending patterns to identify optimization opportunities, and implement systematic data governance that reduces manual overhead. By the end of this module, you'll be able to create integrated operational frameworks that balance system performance, cost efficiency, and regulatory compliance for sustainable AI operations at enterprise scale.
What's included
5 readings1 assignment
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
191 Courses 31,415 learners
Offered by
Explore more from Data Management
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."
Open new doors with Coursera Plus
Unlimited access to 10,000+ world-class courses, hands-on projects, and job-ready certificate programs - all included in your subscription
Advance your career with an online degree
Earn a degree from world-class universities - 100% online
Join over 3,400 global companies that choose Coursera for Business
Upskill your employees to excel in the digital economy
Frequently asked questions
This course requires intermediate-level experience with system monitoring, cloud infrastructure, and data management concepts. While comprehensive, it's designed for ML/AI professionals who already have foundational operations knowledge and want to specialize in AI system optimization and cost management.
You'll gain hands-on experience with automation tools like Ansible, cloud cost management platforms, data governance tools like DataHub, monitoring systems for MTTR analysis, and financial modeling tools for predictive budgeting. You'll also work with compliance frameworks including GDPR and enterprise data management systems.
To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
More questions
Financial aid available,
Âą Some assignments in this course are AI-graded. For these assignments, your data will be used in accordance with Coursera's Privacy Notice.