A tailored course, built for your situation
Architecting Autonomous Systems with Formal Logic and Safety-First Design
A 12-module blueprint for developers leading safety-critical AI in automotive and medical systems
$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.
Building autonomous systems without formal safety guarantees risks cascading failures in real-world deployment.
The situation this course is for
Even with advanced AI, engineering teams face regulatory scrutiny, integration complexity, and unpredictable edge cases, especially when logic models lack traceable safety constraints. Without a structured approach, teams risk delays, compliance gaps, and unsafe behavior in production environments.
Who this is for
Senior software architect or technical founder leading development of safety-critical systems in automotive, medical, or regulated AI domains.
Who this is not for
Developers focused on consumer apps, marketing tech, or non-safety-critical AI tools will not find this course relevant.
What you walk away with
- Apply formal logic methods to autonomous system design
- Integrate safety models like DESH-G into development workflows
- Structure AI outputs for audit-ready medical and automotive compliance
- Reduce edge-case vulnerabilities in real-world deployment
- Build traceable, maintainable logic frameworks for long-term system integrity
The 12 modules (with all 144 chapters)
Module 1. Foundations of Logical Safety in Autonomous Systems
Establish core principles of formal logic applied to safety-critical software. Explore how logical consistency prevents runtime divergence in unpredictable environments.
12 chapters in this module
- Defining safety in autonomous contexts
- Core logic vs heuristic reasoning
- Failure modes in unstructured systems
- Regulatory expectations overview
- Safety case fundamentals
- Traceability from code to outcome
- Model-based vs reactive design
- Risk classification frameworks
- Formal specification languages
- Logical consistency checks
- Safety envelope definition
- Case study: automotive HMI logic
Module 2. DESH-G and Human-Machine Interface Modeling
Master the DESH-G framework for modeling human interaction in safety-critical systems. Translate cognitive load into enforceable design constraints.
12 chapters in this module
- HMI safety lifecycle
- Driver state modeling
- Attention demand mapping
- Error propagation paths
- Interface abstraction layers
- Feedback loop timing
- Cognitive overload thresholds
- Task interruption modeling
- Context-aware interface logic
- Safety state transitions
- Validation through simulation
- Case study: in-vehicle alerts
Module 3. Formal Specification with ICD and MedNLP
Adapt medical classification logic to software systems. Use ICD-derived structures to ensure semantic precision in health-aware applications.
12 chapters in this module
- Medical code taxonomy basics
- Mapping symptoms to system states
- NTCIR MedNLPDoc task breakdown
- Text-to-code transformation pipeline
- Semantic normalization methods
- Ambiguity resolution strategies
- Contextual disambiguation rules
- Temporal symptom modeling
- Diagnostic confidence scoring
- Code hierarchy traversal
- Audit trail generation
- Case study: patient triage logic
Module 4. Logical Consistency in Distributed Systems
Ensure coherent decision-making across subsystems. Apply consistency checks to prevent contradictory behaviors in complex architectures.
12 chapters in this module
- State coherence across nodes
- Consensus under latency
- Truth maintenance systems
- Conflict detection patterns
- Versioned logic states
- Rollback safety guards
- Invariant preservation
- Temporal logic operators
- Cross-layer validation
- Distributed assertion checking
- Watchdog logic design
- Case study: sensor fusion layer
Module 5. Safety Case Development and Assurance
Construct auditable safety arguments using evidence-based claims. Align development artifacts with certification requirements.
12 chapters in this module
- Claim-context-evidence structure
- Assurance case tooling
- Argument refinement levels
- Evidence traceability matrix
- Failure mode integration
- Compliance mapping strategy
- Third-party review prep
- Automated assertion checks
- Living safety documentation
- Change impact analysis
- Versioned argument trees
- Case study: ISO 26262 alignment
Module 6. Runtime Monitoring and Adaptive Logic
Implement real-time logic supervision. Detect deviations and enforce safe fallbacks without human intervention.
12 chapters in this module
- Runtime assertion layers
- Behavior deviation scoring
- Adaptive threshold tuning
- Watchdog escalation paths
- Safe mode activation logic
- Anomaly clustering methods
- Temporal pattern detection
- Model predictive monitoring
- Feedback control integration
- Over-the-air safety updates
- Version rollback triggers
- Case study: autonomous braking
Module 7. Regulatory Alignment for Medical and Automotive AI
Navigate overlapping compliance landscapes. Harmonize design practices across domains with shared safety logic.
12 chapters in this module
- FDA SaMD classification
- IEC 62304 alignment
- ISO 26262 integration
- AI validation under MDR
- Clinical evaluation planning
- Software of unknown pedigree
- Third-party audit readiness
- Documentation trace matrices
- Post-market surveillance logic
- Change control workflows
- Cybersecurity convergence
- Case study: dual-use device
Module 8. Traceability from Requirements to Deployment
Maintain end-to-end logic integrity. Link high-level safety goals to code-level implementation with automated tools.
12 chapters in this module
- Requirement formalization
- Natural language to logic
- Automated trace generation
- Gap detection heuristics
- Bidirectional trace links
- Impact propagation mapping
- Change ripple analysis
- Version-aware tracing
- Toolchain integration
- Human-in-the-loop validation
- Living documentation sync
- Case study: CI/CD pipeline
Module 9. Error Containment and Safe Degradation
Design systems that fail gracefully. Implement layered containment to prevent error propagation.
12 chapters in this module
- Fault boundary definition
- Error domain isolation
- Safe state definitions
- Degradation level planning
- Recovery trigger logic
- State sanitization methods
- Watchdog-mediated restart
- Data quarantine patterns
- User notification logic
- Diagnostic logging scope
- Post-failure analysis hooks
- Case study: sensor failure
Module 10. Verification of Logical Systems
Apply formal and empirical methods to verify complex logic. Combine model checking with real-world testing.
12 chapters in this module
- Model checking fundamentals
- Temporal logic assertions
- Symbolic execution setup
- Fuzzing logical boundaries
- Test oracle generation
- Mutation testing logic
- Path coverage optimization
- Concurrency race detection
- State space reduction
- Automated proof assistants
- Hybrid verification pipeline
- Case study: navigation planner
Module 11. Knowledge Representation for Safety Logic
Structure domain knowledge to support automated reasoning. Use ontologies and taxonomies to encode safety rules.
12 chapters in this module
- Ontology design principles
- Safety rule encoding
- Inference under uncertainty
- Contextual knowledge scoping
- Versioned knowledge bases
- Conflict resolution strategies
- Human-readable rule forms
- Machine-processable formats
- Rule validation techniques
- Dynamic knowledge updates
- Explainability integration
- Case study: diagnostic assistant
Module 12. Scaling Safety Across Product Lifecycles
Extend safety logic practices from prototype to production. Maintain rigor as systems evolve.
12 chapters in this module
- Lifecycle phase mapping
- Safety maturity levels
- Team onboarding patterns
- Toolchain evolution
- Knowledge retention methods
- Cross-project reuse
- Ecosystem integration
- Vendor coordination logic
- Regulatory change adaptation
- Long-term maintenance planning
- Succession strategy design
- Case study: platform expansion
How this maps to your situation
- Leading development of autonomous vehicle logic
- Building medical AI with audit requirements
- Scaling safety practices in startup environment
- Integrating formal methods into agile workflows
Before vs. after
Before
Working without a structured safety logic framework leads to inconsistent decisions, compliance risk, and fragile systems.
After
You’ll deploy systems with traceable, auditable logic, built to withstand real-world complexity and regulatory scrutiny.
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 3 hours per module, designed for integration into active development cycles.
If nothing changes
Without formal safety logic, systems are vulnerable to edge-case failures, compliance gaps, and costly rework, especially as autonomy scales.
How this compares to the alternatives
Unlike generic AI courses, this program focuses on formal logic, safety traceability, and real-world compliance, skills critical for regulated autonomous systems but rarely taught in depth.
Frequently asked
Who is this course designed for?
It's for technical leaders building safety-critical systems in automotive, medical, or high-assurance AI domains.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Does it cover regulatory standards?
Yes, including alignment with ISO 26262, IEC 62304, and MDR requirements.
$199 one-time. Approximately 3 hours per module, designed for integration into active development cycles..
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