Coursera

GenAI Ops: Running Powerful Generative AI Systems Professional Certificate

Coursera

GenAI Ops: Running Powerful Generative AI Systems Professional Certificate

Learn Enterprise GenAI Operations at Scale. Build, deploy, secure, and optimize production AI systems for enterprise success.

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Earn a career credential that demonstrates your expertise
Intermediate level

Recommended experience

2 months to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
Earn a career credential that demonstrates your expertise
Intermediate level

Recommended experience

2 months to complete
at 10 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • Optimize GenAI performance with governance frameworks, ensemble models, and automated testing for reliable user operations

  • Deploy and maintain production AI systems using MLOps best practices, infrastructure automation, and observability frameworks to ensure 99.9% uptime

  • Architect scalable multi-cloud infrastructure with cost optimization, automation, and resilient microservices supporting enterprise AI workloads

  • Implement zero-trust security with automated compliance enforcement and regulatory validation for enterprise AI

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Taught in English
Recently updated!

February 2026

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Professional Certificate - 6 course series

What you'll learn

  • Build monitoring systems and governance frameworks to ensure AI reliability, fairness, and ethical compliance across production environments.

  • Evaluate model architectures using statistical testing and create ensemble systems that combine algorithms for superior performance.

  • Automate ML experimentation workflows to track hypotheses, validate model updates through A/B testing, and measure business impact systematically.

What you'll learn

  • Build deployment orchestration workflows with canary releases, automated rollbacks, and dependency analysis to prevent production failures.

  • Automate ML model lifecycle management using CI/CD pipelines with governance compliance checks and drift-triggered retraining mechanisms.

  • Implement system validation and performance optimization frameworks that analyze deployment dependencies, benchmark targets, and correlate metrics.

  • Design observability systems that monitor GenAI performance using integrated dashboards, alert tuning, and distributed tracing across logs.

What you'll learn

  • Design multi-cloud AI architectures with automated scaling, failover capabilities, and comprehensive security and observability frameworks.

  • Build resilient microservices using dependency analysis, RED metrics optimization, and standardized templates for operational consistency.

  • Automate cloud cost optimization and governance enforcement through usage analytics, policy evaluation, and intelligent compliance scripts.

  • Create operational excellence frameworks with monitoring, incident response, and continuous improvement practices for reliable AI service delivery.

What you'll learn

  • Analyze data access patterns and security incidents to design role-based controls that balance AI innovation with governance requirements

  • Create zero-trust architectures and infrastructure-as-code policies that prevent breaches through continuous verification and automated enforcement

  • Evaluate application security postures using threat modeling, penetration testing, and dependency analysis to prioritize remediation efforts

  • Assess cloud security controls against industry frameworks like NIST, SOC 2, and compliance requirements for regulatory readiness

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

What you'll learn

  • Position yourself in high-value specialist lanes with quantified value propositions for $120K-$160K roles

  • Build executive-ready portfolios with strategic artifacts demonstrating systems thinking through architecture decisions and crisis playbooks

  • Execute leadership interviews using frameworks for architecture defense, crisis management, and stakeholder resolution with business impact focus

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Instructor

Professionals from the Industry
191 Courses 31,415 learners

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Frequently asked questions

¹Based on Coursera learner outcome survey responses, United States, 2021.