A tailored course, built for your situation
Architecting AI-Driven Marketing Platforms at Scale
A 12-module system for certified architects building resilient, high-performance marketing technology stacks with AEM and Target
The situation this course is for
Most courses assume you're learning to operate tools. But you're not just using AEM and Target , you're designing systems where AI, personalization, and infrastructure converge under load. Generic content wastes your time and underestimates your responsibility. You need architecture-level clarity, not step-by-step walkthroughs. The gap isn't knowledge , it's access to battle-tested patterns that survive production at scale.
Who this is for
Certified AEM and Target architects with hands-on experience building and operating complex, high-traffic marketing platforms. They integrate AI and LLM-driven components, own platform resilience, and answer for performance under load.
Who this is not for
Junior developers, marketers using drag-and-drop interfaces, or anyone looking for certification prep or basic tool navigation.
What you walk away with
- Design AI-integrated AEM architectures that scale under real traffic
- Implement secure, auditable Target configurations aligned with enterprise standards
- Apply rollback and recovery patterns proven in production environments
- Operate high-performance platforms with minimal technical debt
- Lead implementation using structured, repeatable blueprints
The 12 modules (with all 144 chapters)
- Architecture vs implementation
- Defining system boundaries
- State management patterns
- Environment strategy
- Governance guardrails
- Team topology alignment
- Change control workflows
- Versioning philosophy
- Dependency mapping
- Risk surface analysis
- Compliance by design
- Audit readiness
- AI use case filtering
- Prompt pipeline design
- Output schema enforcement
- Latency budgeting
- Caching AI responses
- Fallback content trees
- Model version drift
- Prompt injection defenses
- Cost monitoring
- A/B testing AI variants
- Human-in-the-loop gates
- Model observability
- Activity lifecycle model
- Audience taxonomy design
- Experience inheritance
- JSON payload optimization
- Edge delivery tuning
- Activity rollback strategy
- Permission layering
- Activity versioning
- Cross-domain targeting
- Bot traffic filtering
- GDPR-safe personalization
- Activity deprecation
- Failure mode analysis
- Rollback trigger design
- Canary release gates
- Circuit breaker patterns
- State snapshot frequency
- Recovery time objectives
- Automated rollback testing
- Human escalation paths
- Post-mortem integration
- Load shedding rules
- Dependency fail-safes
- Recovery playbook structure
- Request path analysis
- Cache layer strategy
- CDN rule tuning
- Payload size budgets
- Client-side hydration
- Lazy loading patterns
- Resource prioritization
- Third-party script control
- Image optimization chain
- Critical CSS extraction
- DNS prefetching
- Time-to-first-byte goals
- Role-based access design
- Audit log retention
- Configuration drift detection
- Secrets management
- Access review cycles
- Change approval workflows
- Penetration testing scope
- Vulnerability scanning cadence
- Secure baseline templates
- Incident response integration
- Data retention policies
- Compliance reporting
- Runbook structure
- Handover checklist design
- Documentation ownership
- Knowledge transfer gates
- System diagrams standard
- Incident escalation paths
- On-call rotation design
- Post-mortem follow-up
- Tooling access reviews
- Third-party audit prep
- System health dashboards
- Retirement planning
- Branching strategy
- Change impact analysis
- Testing environment parity
- Deployment window planning
- Rollback readiness check
- Change advisory board
- Emergency change process
- Peer review standards
- Automated validation
- Change freeze policies
- Backout procedure
- Change success metrics
- Signal vs noise filtering
- Key metric identification
- Alert threshold tuning
- Cross-system correlation
- Log retention strategy
- Anomaly detection
- Synthetic monitoring
- Real-user monitoring
- Alert fatigue reduction
- Incident triage workflow
- Post-mortem data collection
- Monitoring debt
- API contract design
- Idempotency key patterns
- Error retry logic
- Data consistency checks
- Integration monitoring
- Third-party SLA tracking
- Fallback data sources
- Rate limiting handling
- Schema evolution strategy
- Integration testing
- Authentication rotation
- Integration deprecation
- Content lifecycle stages
- Workflow automation
- Approval chain design
- Content ownership model
- Publishing window strategy
- Localization workflow
- Content reuse patterns
- Content deprecation
- Version cleanup policy
- Content audit process
- Content performance tracking
- Editorial governance
- Technology horizon scanning
- Architecture modularity
- Vendor lock-in assessment
- API abstraction layers
- Data portability planning
- Privacy regulation readiness
- AI ethics review
- Platform retirement planning
- Technical debt budget
- Architecture review cadence
- Innovation sandboxing
- Legacy integration strategy
How this maps to your situation
- You're designing a new AI-integrated AEM platform
- You're troubleshooting performance under load
- You're preparing for audit or compliance review
- You're leading a team through a major platform upgrade
Before vs. after
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 real project timelines.
How this compares to the alternatives
Unlike certification prep or video-based courses, this is a text-based, implementation-focused system built for architects who need depth, not demonstrations.
Frequently asked
Within 24 hours your account in the learning environment is provisioned and the tailored implementation playbook is delivered alongside it.