A tailored course, built for your situation
Polished API Outputs with Fewer Revisions
Write.NET Web APIs that meet quality standards the first time, no rework cycles, no last-minute fixes
The situation this course is for
APIs often go through multiple rounds of feedback due to inconsistent payloads, missing validation, or unclear status handling, costing time and diluting confidence.
Who this is for
.NET developer shipping Web APIs into production, working with data stores like MongoDB, aiming to reduce revision loops and increase delivery confidence
Who this is not for
Developers not actively shipping APIs, or those focused solely on frontend or infrastructure layers
What you walk away with
- Design API responses that pass peer review without revision
- Implement automatic payload validation using built-in.NET and FluentValidation patterns
- Standardize error structures so they’re consistent across endpoints
- Produce API documentation that matches actual behavior without manual updates
- Build self-testing controller logic that catches edge cases before PR
The 12 modules (with all 144 chapters)
- Defining success for an API endpoint
- The three required response states
- Request shape vs. business rule validation
- How MongoDB schema informs API design
- Naming conventions that prevent confusion
- Versioning without breaking changes
- Choosing between REST and RPC patterns
- When to return 400 vs 422
- Using HTTP verbs correctly
- Setting expectations with upstream consumers
- Documenting decisions in code comments
- Review checklist for launch readiness
- DTOs vs. domain models
- Using [FromBody] safely
- Handling optional fields gracefully
- Validating nested objects
- Custom validation attributes
- Error message localization
- FluentValidation integration
- Validation in minimal APIs
- Testing invalid payloads
- Logging validation failures
- Preventing overposting
- Schema consistency across versions
- Designing a unified response envelope
- Including trace IDs in responses
- Handling empty result sets
- Paginated response standards
- Embedding related resources
- Using ProblemDetails for errors
- Custom error types for business rules
- Timezone-aware timestamps
- Currency and unit formatting
- Dynamic field filtering
- Caching header signals
- Response size optimization
- Global exception middleware
- Structured logging setup
- Distinguishing system vs business errors
- Hiding stack traces in production
- Retryable vs final failures
- Rate limit signaling
- Downstream service outage responses
- Graceful degradation patterns
- Health check integration
- Circuit breaker feedback
- Audit logging for errors
- Alerting on recurring issues
- Pact testing fundamentals
- Generating consumer contracts
- Running provider verification
- Integrating with CI pipelines
- Handling breaking contract changes
- Snapshot testing with ApprovalTests
- Validating OpenAPI spec compliance
- Testing edge case scenarios
- Mocking MongoDB responses
- Testing authentication flows
- Parallel test execution
- Reporting test coverage
- Swashbuckle setup with annotations
- Describing endpoints clearly
- Adding examples to OpenAPI
- Security scheme documentation
- Filtering internal endpoints
- Custom schema mappings
- Markdown in descriptions
- Version grouping in Swagger UI
- Exporting Postman collections
- Embedding docs in internal portals
- Access control for docs
- Tracking doc usage
- Projection to reduce payload size
- Selecting only needed fields from MongoDB
- Avoiding N+1 query patterns
- Using async/await correctly
- Caching at the service layer
- Compression middleware
- Response streaming
- Efficient serialization settings
- Monitoring payload bloat
- Lazy loading anti-patterns
- DTO mapping best practices
- Benchmarking endpoint speed
- JWT token validation
- Role vs policy-based authorization
- Handling token expiration
- Scopes for fine-grained access
- API key management
- Auditing access attempts
- Rate limiting by identity
- Impersonation for support
- Token introspection
- Multi-tenancy considerations
- Logging auth decisions
- Testing unauthorized cases
- Deprecation headers
- Version negotiation strategies
- Backward compatibility rules
- Communication plan for changes
- Feature toggle patterns
- Dark launching new endpoints
- Monitoring adoption of new versions
- Removing old versions safely
- Tracking breaking changes
- Client upgrade notifications
- Support window definitions
- Audit trail for modifications
- PR templates that guide reviewers
- Including test evidence
- Highlighting changes clearly
- Automated linting checks
- Using diffs effectively
- Documenting trade-offs
- Tagging senior reviewers only when needed
- Requesting specific feedback types
- Reducing back-and-forth on style
- Linking to design docs
- Squashing commits wisely
- Setting clear merge criteria
- Structured logging with Serilog
- Adding correlation IDs
- Distributed tracing setup
- Metrics for request rate and latency
- Setting up dashboards
- Alerting on error spikes
- Capturing payload samples
- Redaction of sensitive data
- Linking logs to deployments
- Using Application Insights
- Health checks with readiness probes
- Exporting logs for audit
- Pre-deployment checklist
- Automated schema validation
- Security scanning in pipeline
- OpenAPI linting
- Dependency vulnerability checks
- Performance budget enforcement
- Accessibility of API docs
- Legal compliance markers
- Internal stakeholder sign-off
- Rollback readiness verification
- Post-deploy smoke testing
- Handoff package assembly
How this maps to your situation
- When designing a new endpoint
- Before opening a pull request
- After peer feedback identifies gaps
- During production incident review
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: 6, 8 hours of focused work, plus optional implementation exercises.
How this compares to the alternatives
Generic.NET courses teach fundamentals; this course delivers precision patterns used in high-velocity teams to eliminate rework and ship quality APIs faster.
Frequently asked
Within 24 hours your account in the learning environment is provisioned and the tailored implementation playbook is delivered alongside it.