The failure of AI systems can cost enterprises millions in downtime and lost opportunities. This course equips ML and AI professionals with the critical operational skills to keep generative AI systems running at peak performance.
Automate, Optimize, and Maintain AI Systems
Automate, Optimize, and Maintain AI Systems
This course is part of AI Systems Reliability & Security Specialization
Instructor: Hurix Digital
Access provided by Xavier School of Management, XLRI
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
Strategic patching balances security urgency with system stability using dependency mapping and optimized maintenance windows.
MTTR trends expose resilience patterns and act as early warning signals for infrastructure health issues.
Automated maintenance playbooks enable self-healing systems, cutting manual effort while improving speed and consistency
Strong AI operations rely on security, dev, and ops teams collaborating to maintain performance and compliance.
Skills you'll gain
- Predictive Analytics
- MLOps (Machine Learning Operations)
- Problem Management
- Site Reliability Engineering
- Infrastructure as Code (IaC)
- Disaster Recovery
- System Monitoring
- Automation
- IT Automation
- AI Security
- Patch Management
- Continuous Monitoring
- Incident Management
- Generative AI
- Ansible
- Skills section collapsed. Showing 8 of 15 skills.
Details to know
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Taught in English
Recently updated!
January 2026
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Build your subject-matter expertise
This course is part of the AI Systems Reliability & Security 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 3 modules in this course
Learners will master 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
Learners will master MTTR trend analysis techniques that identify system resilience patterns and enable proactive infrastructure improvements for AI operations.
What's included
3 videos1 reading1 assignment
Learners 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
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