A tailored course, built for your situation
Mastering OWASP for Senior Data Scientists in GenAI and LLMOps
Turn AI governance from a gatekeeper function into a strategic accelerator with repeatable, auditable, client-facing frameworks.
$199 one-time
24-hour access provisioning
30-day money-back guarantee
Hand-built implementation playbook
12 modules. 12 chapters per module. 144 chapters total.
12 modules, each with 12 chapters (144 chapters total), text-based, plus downloadable templates and a hand-built implementation playbook delivered alongside course access.
...when technical rigor doesn't translate to client trust or deal momentum
The situation this course is for
Strong model governance often gets treated as compliance overhead, not a strategic asset. Even robust systems stall in vendor reviews or client audits because the narrative lacks clarity, consistency, or client-facing structure. The work is sound, but the packaging isn’t.
Who this is for
Senior Data Scientist leading GenAI and LLMOps initiatives in enterprise settings, where security, auditability, and client trust determine project greenlights and budget allocation.
Who this is not for
Junior analysts looking for introductory overviews of AI security, or practitioners outside GenAI and production ML systems.
What you walk away with
- Ability to structure model risk assessments around OWASP LLM Top 10 with client-ready documentation
- Faster vendor and client review cycles due to upfront compliance-by-design
- Direct ownership of the security sign-off track in cross-functional AI deployments
- Reputation as the go-to architect for auditable, scalable GenAI systems
- Repeatable framework for translating technical decisions into governance narratives
The 12 modules (with all 144 chapters)
Module 1. Foundations of OWASP in Production LLM Systems
Establish baseline fluency in the OWASP LLM Top 10 and map each risk category to observable behaviors in GenAI pipelines.
12 chapters in this module
- Introduction to OWASP and AI
- LLM Top 10 overview
- Prompt injection defined
- Authentication failures
- Data leakage paths
- Model denial of service
- Supply chain risks
- Insecure output handling
- Misconfiguration patterns
- Improper monitoring
- Overreliance risk
- Real-world breach examples
Module 2. Threat Modeling for GenAI Workflows
Apply structured threat modeling to data ingestion, model serving, and API integration layers in LLMOps.
12 chapters in this module
- Threat modeling principles
- Data flow decomposition
- Trust boundary identification
- Threat agent profiles
- STRIDE method applied
- Failure mode analysis
- Attack tree construction
- Integration with CI/CD
- Automated risk tagging
- Review cycle integration
- Stakeholder alignment
- Iteration timing
Module 3. Secure Prompt Design and Validation
Build defensive prompt patterns and validation checks that prevent injection and hallucination exploits.
12 chapters in this module
- Prompt injection anatomy
- Input sanitization rules
- Role impersonation detection
- Output constraint logic
- Context leakage prevention
- Template hardening
- Validation rule sets
- Guardrail integration
- Testing with adversarial prompts
- Version control for prompts
- Audit trail generation
- Recovery from bypass attempts
Module 4. Model Supply Chain Assurance
Map vendor risk, fine-tuning data provenance, and API dependencies to OWASP control expectations.
12 chapters in this module
- Vendor due diligence
- Model provenance tracking
- Third-party API risks
- Fine-tuning data audit
- Weight leakage risks
- Container integrity
- Dependency scanning
- License compliance
- Chain of custody
- SBOM integration
- Update validation
- Revocation protocols
Module 5. Authentication and Access Control in AI Systems
Implement least-privilege access for model endpoints, prompt inputs, and output consumption.
12 chapters in this module
- API key management
- User identity mapping
- Role-based access
- Service account policies
- Token expiration
- Multi-factor enforcement
- Session binding
- Audit logging
- Access revocation
- Rate limiting
- API gateway integration
- Zero-trust alignment
Module 6. Data Protection and Privacy Enforcement
Embed PII detection, redaction, and consent checks directly into model inference paths.
12 chapters in this module
- PII detection models
- Named entity recognition
- Consent flagging
- Data masking
- Retention policies
- Geolocation compliance
- Encryption in transit
- Encryption at rest
- Cross-border rules
- Audit trail linkage
- Data subject rights
- Deletion workflows
Module 7. Monitoring and Incident Response for LLMs
Detect anomalies, trigger alerts, and initiate response playbooks tailored to AI-specific failure modes.
12 chapters in this module
- Anomaly detection
- Prompt volume baselines
- Output deviation
- Model drift signals
- Incident classification
- Response escalation
- Automated rollback
- Forensic data capture
- Stakeholder notification
- Post-mortem process
- False positive tuning
- Response drill scheduling
Module 8. Compliance Documentation and Audit Readiness
Generate client-ready artefacts that prove adherence to OWASP standards and accelerate audit cycles.
12 chapters in this module
- Control mapping
- Evidence collection
- SoA drafting
- Audit trail structure
- Gap assessment
- Remediation tracking
- Third-party validation
- Client walkthrough prep
- Version-controlled reports
- Automated updates
- Stakeholder summaries
- Executive briefings
Module 9. Client and Vendor Review Acceleration
Structure deliverables to reduce back-and-forth in procurement and integration reviews.
12 chapters in this module
- Vendor questionnaire prep
- Client risk calls
- Preemptive documentation
- Security review packages
- Compliance checklists
- Risk acceptance templates
- Exemption justification
- Third-party feedback loops
- Review timeline compression
- Stakeholder alignment
- Escalation paths
- Final approval tracking
Module 10. Governance as a Strategic Enabler
Reframe governance from a gate to a growth lever, positioning your team as the preferred partner.
12 chapters in this module
- Trust as differentiator
- Competitive positioning
- Client confidence
- Deal velocity
- Cross-team referrals
- Budget authority
- Executive visibility
- Project prioritization
- Influence scaling
- Reputation capital
- Thought leadership
- Internal evangelism
Module 11. Automated Control Enforcement in CI/CD
Embed security checks directly into deployment pipelines to prevent regressions.
12 chapters in this module
- CI/CD integration
- Pre-commit hooks
- Automated scanning
- Policy as code
- Gate enforcement
- Failure rollback
- Test coverage
- Pipeline visibility
- Change logging
- Approval workflows
- Drift detection
- Remediation automation
Module 12. Sustaining Governance at Scale
Ensure frameworks evolve with model complexity and organizational growth.
12 chapters in this module
- Framework versioning
- Team onboarding
- Knowledge transfer
- Process audits
- Control refinement
- Feedback loop design
- Leadership reporting
- Toolchain evolution
- Benchmark tracking
- External certification
- Lessons learned
- Future roadmap
How this maps to your situation
- During client security review
- Before vendor onboarding
- After model update
- When expanding to new markets
Before vs. after
Before
Governance feels like a compliance hurdle, slowing down deployment and requiring rework during client reviews.
After
Security and compliance are baked in from day one, accelerating approvals and making your team the default choice for high-stakes engagements.
What's included with your purchase
- 12 modules with 12 chapters each (144 chapters)
- Downloadable templates and worked examples for every module
- Hand-built implementation playbook delivered alongside course access
- 30-day money-back guarantee
Delivery and format
- Course and learning environment access provisioned within 24 hours of purchase
- Hand-built implementation playbook delivered alongside course access
Format: Text-based modules and chapters in the Art of Service learning environment, plus downloadable templates and worked examples for every chapter, plus the hand-built implementation playbook delivered alongside course access.
Time investment: 6-8 hours per week for 12 weeks, or self-paced over 3 months.
If nothing changes
Teams that treat governance as an afterthought face longer sales cycles, repeated client escalations, and lost premium deals, while peers who systematize it win faster, bigger, and more strategic projects.
How this compares to the alternatives
Unlike generic AI security courses, this program is tailored to senior practitioners in GenAI and LLMOps, with direct application to OWASP standards, client-facing documentation, and enterprise deployment cycles.
Frequently asked
Is this course technical or strategic?
It’s both. You’ll learn technical control implementation and how to position them as strategic assets in client and leadership conversations.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Can I apply this to non-LLM models?
Yes. While focused on LLMs, the principles apply to any GenAI or ML system requiring governance rigor.
$199 one-time. 6-8 hours per week for 12 weeks, or self-paced over 3 months..
Within 24 hours your account in the learning environment is provisioned and the tailored implementation playbook is delivered alongside it.
30-day money-back guarantee·
144 chapters·
Hand-built playbook included·
Account access within 24 hours