A tailored course, built for your situation
Mastering DORA for Senior Gen-AI Engineers in Financial Services
Build influence through operational resilience in AI-driven banking environments
$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.
Being technically sound but passed over when key architecture decisions are made
The situation this course is for
Strong technical contributors often deliver excellent work but don’t get pulled into strategic design discussions, especially around vendor selection, AI governance frameworks, and long-term architecture direction. The gap isn’t capability, it’s visibility and influence in cross-functional settings.
Who this is for
Senior technical individual contributors in regulated financial institutions who are embedded in AI transformation but lack formal authority over direction or vendor choices
Who this is not for
Entry-level compliance staff, consultants selling into banks, or leaders focused on executive reporting rather than technical implementation
What you walk away with
- Map DORA requirements directly to gen-AI system design choices
- Lead vendor evaluation criteria with authority grounded in regulatory logic
- Anticipate and shape internal review questions before escalation
- Build repeatable templates for control documentation that stand up to audit
- Position yourself as the go-to resource on AI-operations alignment within your domain
The 12 modules (with all 144 chapters)
Module 1. DORA and the Gen-AI Landscape in Banking
Understand how DORA applies specifically to generative AI use cases in mortgage and capital markets environments. Establish the foundation for mapping technical decisions to resilience outcomes.
12 chapters in this module
- Scope of DORA in financial institutions
- Key timelines and oversight bodies
- Gen-AI vs traditional AI under DORA
- Critical systems classification logic
- How PNC-level implementations are structured
- DORA-AI intersection points
- Regulatory expectations on model retraining
- Incident reporting thresholds
- Third-party dependency rules
- Resilience testing frequency
- Documentation standards for AI workflows
- Common misconceptions in early-stage rollout
Module 2. Operational Resilience Framework Mapping
Learn to align internal AI engineering practices with DORA’s operational resilience pillars. Turn compliance into strategic advantage.
12 chapters in this module
- Identifying critical AI-driven functions
- Mapping systems to business services
- Tolerance for disruption benchmarks
- Impact tolerance definitions
- Internal escalation triggers
- Time-bound recovery expectations
- Stakeholder communication protocols
- Scenario planning basics
- Downtime cost estimation
- Resilience vs availability distinctions
- Testing scope for AI pipelines
- Documentation required for audit
Module 3. Third-Party Risk for AI Vendors
Develop structured evaluation criteria for external AI providers under DORA. Gain confidence in vendor selection inputs.
12 chapters in this module
- Sub-outsourcing rules under DORA
- Vendor due diligence depth
- Contractual clauses for AI providers
- Data sovereignty requirements
- Model transparency expectations
- Right-to-audit provisions
- Penalties for non-compliance
- Performance monitoring terms
- Exit strategy planning
- Incident response coordination
- Cyber resilience standards
- Geographic hosting constraints
Module 4. AI Governance Within DORA Compliance
Integrate AI-specific controls into DORA-mandated frameworks. Become the technical anchor in governance discussions.
12 chapters in this module
- Model lifecycle documentation
- Human oversight mechanisms
- Bias detection frequency
- Output validation standards
- Version control expectations
- Monitoring for degradation
- Drift detection thresholds
- Fallback pathways
- Explainability under audit
- Logging for AI decisions
- Retraining triggers
- Audit trail completeness
Module 5. Incident Management for AI Systems
Design incident response workflows that meet DORA timelines and regulator expectations for AI-driven services.
12 chapters in this module
- Definition of a reportable AI incident
- Escalation timelines
- Internal communication flow
- External regulator notification rules
- Root cause analysis standards
- Remediation tracking
- Downtime measurement
- Customer impact assessment
- Recovery validation
- Post-mortem structure
- Lessons learned documentation
- Regulator follow-up requirements
Module 6. Resilience Testing for AI Workflows
Structure realistic tests for AI systems that validate operational continuity under DORA.
12 chapters in this module
- Types of resilience testing
- Frequency requirements
- Scenario selection logic
- Test scope determination
- Stakeholder involvement
- Documentation of results
- Remediation tracking
- Executive summary drafting
- Regulator-facing reporting
- Lessons from recent bank audits
- Common failure points
- Best practices in test design
Module 7. Control Mapping for Gen-AI Pipelines
Translate DORA requirements into specific technical controls across data ingestion, model serving, and output delivery.
12 chapters in this module
- Data integrity checks
- Input validation standards
- Model inference security
- Output filtering mechanisms
- Rate limiting for APIs
- Authentication for access
- Logging granularity
- Monitoring for anomalies
- Fail-open vs fail-closed
- Redundancy planning
- Backup of training data
- Version rollback capability
Module 8. Documentation Standards Under DORA
Create regulator-ready artefacts that demonstrate compliance without slowing innovation.
12 chapters in this module
- Required documentation types
- Retention periods
- Audit trail completeness
- Version control for policies
- Evidence collection workflow
- Internal review cycles
- Cross-functional sign-off
- Change tracking
- Formatting expectations
- Language clarity requirements
- Readability for non-technical reviewers
- Archive and retrieval process
Module 9. Building Cross-Functional Influence
Position yourself as the technical authority in meetings that shape AI direction and vendor choices.
12 chapters in this module
- When to escalate technical risks
- Framing issues for non-engineers
- Using DORA as leverage
- Gaining early input in design
- Building trust with compliance
- Presenting alternatives clearly
- Anticipating stakeholder concerns
- Documenting rationale
- Creating reusable templates
- Establishing peer credibility
- Owning the review track
- Becoming the default reference
Module 10. Regulator Engagement Preparation
Prepare for supervisory reviews with confidence, using structured responses grounded in technical reality.
12 chapters in this module
- Common regulator questions
- Evidence organization
- Response drafting standards
- Internal coordination
- Time-bound submissions
- Follow-up readiness
- Tone and clarity
- Cross-team alignment
- Lessons from peer institutions
- Avoiding overcommitment
- Gap remediation plans
- Status reporting frequency
Module 11. Integration with Existing Compliance Frameworks
Align DORA with internal policies, SOC 2, and other regulatory obligations without duplication.
12 chapters in this module
- Mapping to SOC 2 controls
- Overlap with FFIEC expectations
- Coordination with ISO 27001
- Avoiding redundant workflows
- Centralized control repositories
- Single source of truth setup
- Change management integration
- Policy version control
- Cross-framework testing
- Efficiency in audit prep
- Reporting consolidation
- Stakeholder communication
Module 12. Sustaining Compliance Through AI Evolution
Future-proof your organization’s approach as models, vendors, and regulations evolve.
12 chapters in this module
- Model update impact assessment
- Vendor change management
- Regulatory change monitoring
- Internal communication flow
- Re-testing triggers
- Documentation updates
- Stakeholder re-engagement
- Lessons from past changes
- Proactive horizon scanning
- Version comparison tools
- Change approval workflows
- Archival of legacy models
How this maps to your situation
- Early-stage DORA implementation in AI teams
- Vendor selection under regulatory scrutiny
- Cross-functional technical governance meetings
- Pre-audit preparation cycles
Before vs. after
Before
Technically strong contributions that remain below the line in strategic discussions.
After
Consistent inclusion in decisions around AI direction, vendor picks, and governance frameworks.
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: Approximately 6-8 hours of focused reading and template application over 3 weeks.
If nothing changes
Continuing to deliver high-quality engineering work that doesn’t translate into influence, missing opportunities to shape direction, lead design choices, or be the first call in cross-functional escalations.
How this compares to the alternatives
Generic DORA overviews miss the AI-specific implementation challenges. Internal training often lacks regulator-grade depth. This course delivers precise, actionable control mappings and influence strategies tailored to senior engineers in banking.
Frequently asked
Is this course suitable for non-compliance professionals?
Yes, it’s designed for senior technical staff like yourself who need to influence outcomes under DORA without being in a formal compliance role.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Will this help me in vendor evaluation meetings?
Yes, Module 3 gives you structured criteria and contractual leverage points that position you as the technical authority.
$199 one-time. Approximately 6-8 hours of focused reading and template application over 3 weeks..
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