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Automating Secure Data Workflows with Microsoft Graph

$199.00
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A tailored course, built for your situation

Automating Secure Data Workflows with Microsoft Graph

A 12-module system to streamline API integrations, reduce technical debt, and scale secure data flows

$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.
Struggling to maintain reliable, secure data pipelines across fragmented systems?

The situation this course is for

Even with strong architecture, teams stall when API integrations break, syncs fail silently, or permissions drift. Manual fixes pile up, audit trails weaken, and velocity drops. The cost isn't just technical, it's delayed innovation.

Who this is for

Technical leader overseeing integration architecture, API security, and data workflow scalability in mid-sized software-driven organizations

Who this is not for

Junior developers without API ownership, non-technical managers, or teams not using Microsoft 365 or Graph API

What you walk away with

  • Ship stable, authenticated Graph API integrations faster
  • Reduce sync failures and permission drift in production
  • Build self-documenting, audit-ready data workflows
  • Cut debugging time for failed API calls by 70%+
  • Scale integrations without proportional ops overhead

The 12 modules (with all 144 chapters)

Module 1. Foundations of Microsoft Graph Integration
Establish core patterns for secure, maintainable Graph API usage. Covers endpoint discovery, resource types, and versioning strategy.
12 chapters in this module
  1. Graph API overview
  2. Resource model basics
  3. Versioning strategy
  4. Tenant onboarding
  5. App registration setup
  6. Scope planning
  7. Permission types
  8. Consent flows
  9. Authentication primer
  10. Token lifetime rules
  11. Rate limiting
  12. Error taxonomy
Module 2. Authentication Deep Dive
Master OAuth2 flows for daemon apps and user contexts. Covers certificate-based auth, token caching, and silent renewal.
12 chapters in this module
  1. OAuth2 roles
  2. Client credentials flow
  3. Certificate auth
  4. Token caching
  5. Silent renewal
  6. Token validation
  7. JWT inspection
  8. Key rotation
  9. App-only vs user
  10. Delegated access
  11. Token storage
  12. Expiration handling
Module 3. Incremental Data Sync Patterns
Design delta syncs that survive network gaps and service outages. Covers delta tokens, change tracking, and reconciliation.
12 chapters in this module
  1. Delta query basics
  2. Change tracking
  3. Delta token handling
  4. Conflict detection
  5. Reconciliation logic
  6. Backfill strategy
  7. Sync frequency
  8. Partial failure
  9. Data consistency
  10. Checkpointing
  11. Cursor management
  12. Sync scope
Module 4. Error Resilience and Retry Logic
Build systems that recover from transient failures. Covers retry policies, circuit breakers, and fallback states.
12 chapters in this module
  1. HTTP status codes
  2. Retryable errors
  3. Exponential backoff
  4. Jitter strategy
  5. Circuit breaker
  6. Timeout tuning
  7. Fallback data
  8. Error logging
  9. Retry budget
  10. Throttling response
  11. Queue retry
  12. Dead letter
Module 5. Secure Permission Design
Apply least-privilege access across teams and services. Covers role scoping, permission reviews, and access reviews.
12 chapters in this module
  1. Permission types
  2. Role scoping
  3. Delegation rules
  4. Access reviews
  5. Privilege creep
  6. Audit logging
  7. Consent management
  8. Admin roles
  9. Custom roles
  10. Scope mapping
  11. Access packages
  12. Just-in-time
Module 6. Audit-Ready Logging and Tracing
Implement comprehensive logging for compliance and debugging. Covers correlation IDs, structured logs, and retention.
12 chapters in this module
  1. Correlation IDs
  2. Structured logging
  3. Log levels
  4. PII handling
  5. Retention policy
  6. Log aggregation
  7. Search patterns
  8. Trace context
  9. Event sourcing
  10. Log sampling
  11. Audit trails
  12. Compliance export
Module 7. Change Notification Architecture
Use push-based notifications instead of polling. Covers subscription lifecycle, validation, and scaling.
12 chapters in this module
  1. Subscription model
  2. Webhook setup
  3. Validation flow
  4. Renewal logic
  5. Notification parsing
  6. Scaling limits
  7. Failure handling
  8. Latency targets
  9. Subscription scope
  10. Resource types
  11. Batching
  12. Security checks
Module 8. Data Transformation Pipelines
Normalize and enrich Graph data for downstream use. Covers schema mapping, transformation layers, and validation.
12 chapters in this module
  1. Schema mapping
  2. Data enrichment
  3. Validation layer
  4. Transformation logic
  5. Error schema
  6. Data shaping
  7. Field filtering
  8. Computed fields
  9. Type conversion
  10. Null handling
  11. Default values
  12. Sanitization
Module 9. Integration Testing Strategies
Test integrations without hitting production. Covers mocking, test tenants, and contract validation.
12 chapters in this module
  1. Test tenant setup
  2. Mocking APIs
  3. Contract testing
  4. Integration tests
  5. Test data
  6. Environment isolation
  7. Test coverage
  8. CI pipeline
  9. Test credentials
  10. Test cleanup
  11. Test scope
  12. Test timing
Module 10. Operational Monitoring
Monitor health and performance of Graph-dependent systems. Covers metrics, alerts, and dashboards.
12 chapters in this module
  1. Latency tracking
  2. Error rate
  3. Request volume
  4. Token health
  5. Sync status
  6. Alert thresholds
  7. Dashboard setup
  8. Incident response
  9. Uptime SLA
  10. Dependency map
  11. Health checks
  12. Status page
Module 11. Governance and Compliance
Ensure long-term alignment with security and regulatory standards. Covers access reviews and policy enforcement.
12 chapters in this module
  1. Access reviews
  2. Policy enforcement
  3. Compliance checks
  4. Data residency
  5. Retention rules
  6. Audit readiness
  7. Certification
  8. Documentation
  9. Change control
  10. Risk assessment
  11. Third-party access
  12. Data processing
Module 12. Scaling and Optimization
Optimize performance and cost at scale. Covers batching, pagination, and caching strategies.
12 chapters in this module
  1. Batching requests
  2. Pagination tuning
  3. Caching strategy
  4. Query optimization
  5. Payload size
  6. Concurrency limits
  7. Resource partitioning
  8. Rate limit tuning
  9. Cost per call
  10. Efficiency gains
  11. Load testing
  12. Peak handling

How this maps to your situation

  • You're expanding API-driven tools for smart infrastructure
  • You need reliable, secure data syncs across systems
  • You're scaling integration patterns across teams
  • You're optimizing for audit and compliance readiness

Before vs. after

Before
Manual integrations, fragile syncs, and opaque error trails slowing down delivery
After
Automated, resilient data workflows with clear audit paths and faster iteration

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 steady implementation alongside active projects.

If nothing changes
Without structured integration patterns, teams accumulate technical debt, increase security exposure, and delay feature delivery, especially as data volume and compliance demands grow.

How this compares to the alternatives

Unlike generic API courses, this program focuses exclusively on Microsoft Graph patterns used in production by technical leaders managing real-world data workflows.

Frequently asked

Who is this course for?
Technical leaders building or maintaining systems that integrate with Microsoft 365 via Graph API, especially in regulated or scaling environments.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Is there hands-on code?
Yes, every chapter includes downloadable templates and worked examples you can adapt to your environment.
$199 one-time. Approximately 3 hours per module, designed for steady implementation alongside active projects..

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