Certified GenAI Ops Practitioner (C-GAIOps)

Certified GenAI Ops Practitioner (C-GAIOps) Certification Program by Tonex

GenAI systems move fast, but production demands discipline. The Certified GenAI Ops Practitioner (C-GAIOps) program prepares you to run large language models safely, reliably, and at scale. You will design evaluation pipelines, define SLOs, and implement safety gates that prevent prompt abuse, data leakage, and harmful outputs. The curriculum blends proven MLOps practices with LLM-specific patterns: dataset curation, automatic evals, offline/online testing, and continuous validation with real traffic.

You learn to instrument prompts and models, capture rich telemetry, and turn traces into action through drift alerts and incident response. Governance is built in. We cover policy engines, audit trails, approval workflows, and change management for prompts, models, and configurations. Security stays front and center. You will apply least-privilege patterns, secrets hygiene, PII redaction, and content filtering to reduce exposure.

The result is an operating model that balances velocity with control. Teams ship faster with confidence, and customers get trustworthy experiences. For cybersecurity programs, C-GAIOps strengthens detection of prompt injection, jailbreaks, model theft, and exfiltration paths, while enabling verifiable compliance across industries.

Learning Objectives:

• Build eval pipelines for LLM quality and safety.
• Define SLOs, SLIs, and error budgets for GenAI.
• Implement policy-driven safety gates and guardrails.
• Instrument telemetry for tracing, drift, and incidents.
• Operationalize governance, approvals, and audits.
• Secure data, prompts, and integrations end-to-end.

Audience:

• Cybersecurity Professionals
• ML/AI Engineers and MLOps Practitioners
• Site Reliability Engineers and Platform Teams
• Data Scientists and Prompt Engineers
• Product and Engineering Managers
• Compliance, Risk, and Privacy Officers

Program Modules:

Module 1: GenAI Ops Foundations and SLOs

• GenAI lifecycle, roles, and controls
• SLIs/SLOs for LLM latency, quality, safety
• Error budgets and release gates
• Prompt, model, and tool versioning
• Change management and approvals
• Runbooks and on-call readiness

Module 2: Evals and Benchmarking for LLMs

• Dataset design and gold standards
• Offline vs online eval strategies
• Automated metrics: accuracy, toxicity, bias
• Human-in-the-loop review flows
• Regression testing and canarying
• A/B and interleaving for LLMs

Module 3: Safety Gates and Policy Enforcement

• Content filters and jailbreak defenses
• PII detection and redaction pipelines
• Policy engines and decision trees
• Moderation queues and escalation paths
• Prompt injection and tool-use controls
• Red team findings to guardrails

Module 4: Telemetry, Observability, and Drift

• Tracing prompts, completions, and tools
• Structured logging and feature capture
• Feedback signals and quality events
• Data/model drift detection patterns
• Alerting, triage, and incident review
• Postmortems and corrective actions

Module 5: Secure Deployment and Governance

• Secrets, keys, and access boundaries
• Data minimization and retention rules
• SBOMs, supply-chain checks, attestations
• Audit trails and compliance evidence
• Vendor and model risk assessments
• Privacy-by-design for GenAI

Module 6: Scaling Operations and ROI

• Multi-model routing and cost controls
• Caching, guardrail ordering, and QoS
• Capacity planning and throttling
• FinOps for tokens and throughput
• KPI dashboards and stakeholder reports
• Continuous improvement playbooks

Exam Domains:

1. GenAI Risk and Threat Modeling
2. Evaluation Methods and Quality Metrics
3. Safety Architecture and Policy Enforcement
4. Observability, Telemetry, and Incident Response
5. Secure SDLC, Governance, and Compliance
6. Operational Excellence and Reliability Engineering

Course Delivery:
The course is delivered through lectures, interactive discussions, expert-led case studies, and project-based learning focused on C-GAIOps. Participants gain access to curated readings, templates, and guided tool walkthroughs for practical exercises.

Assessment and Certification:
Participants are assessed via quizzes, structured assignments, and a capstone project. Upon successful completion, participants receive the Certified GenAI Ops Practitioner (C-GAIOps) certificate from Tonex.

Question Types:

• Multiple Choice Questions (MCQs)
• Scenario-based Questions

Passing Criteria:
To pass the Certified GenAI Ops Practitioner (C-GAIOps) Certification Training exam, candidates must achieve a score of 70% or higher.

Advance your GenAI operations with confidence. Enroll now to build safe, reliable, and auditable LLM services. Bring C-GAIOps leadership to your team and accelerate value—securely.