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
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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
Skills you'll gain
- Incident Management
- Predictive Modeling
- AI Security
- Site Reliability Engineering
- Financial Forecasting
- Metadata Management
- Patch Management
- Cost Reduction
- Compliance Management
- Cloud Management
- System Monitoring
- MLOps (Machine Learning Operations)
- Data Governance
- Ansible
- IT Automation
- Operations
- Data Management
- Cost Management
- Financial Management
- Budgeting
- Skills section collapsed. Showing 9 of 20 skills.
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Taught in English
Recently updated!
February 2026
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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.
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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
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