What does the Application Programming Interfaces in Application Management course cover?
Application Programming Interfaces in Application Management is covered here in 8 modules: API Strategy and Enterprise Alignment, API Design and Standardization, API Security and Identity Management and 5 more. The outline lists 48 specific topics, opening with selecting between public, partner, and internal API models based on business objectives and data sensitivity requirements.
How do you approach Application Programming Interfaces in Application Management step by step?
The work is sequenced in 8 stages. It starts with API Strategy and Enterprise Alignment, moves through API Design and Standardization and API Security and Identity Management, and ends at Scalability, Performance, and Resilience. Each stage carries its own topic list, so the sequence is followed rather than summarised.
What is in Module 1 of the Application Programming Interfaces in Application Management course?
Module 1 is API Strategy and Enterprise Alignment. It works through selecting between public, partner, and internal API models based on business objectives and data sensitivity requirements., defining API ownership across business units to resolve conflicts in roadmap prioritization and SLA accountability., integrating API initiatives with existing enterprise architecture governance frameworks such as TOGAF or Zachman. and 3 more.
How is the Application Programming Interfaces in Application Management course delivered?
The Application Programming Interfaces in Application Management course is fully self-paced with immediate online access after enrolment. Access does not expire and future updates are included at no cost. It can be taken on any device, and a certificate of completion is issued by The Art of Service when you finish.
How much does the Application Programming Interfaces in Application Management course cost?
The Application Programming Interfaces in Application Management course is $248 as a one time payment. There is no subscription, no per seat licence and no hidden fee. Enrolment carries a 30 day satisfied or refunded guarantee, so it can be assessed in full before you commit.
Closely related courses: Application Programming Interface in Application Services, Application Programming Interface Toolkit, Server Application Programming Interface Toolkit, User Interface Design in Application Management.
More answers: what you get with every course, refund policy, all help answers.
This curriculum spans the breadth of API management work seen in large-scale digital transformations, comparable to multi-workshop technical advisory programs that address strategy, security, governance, and operational resilience across distributed systems.
Module 1: API Strategy and Enterprise Alignment
- Selecting between public, partner, and internal API models based on business objectives and data sensitivity requirements.
- Defining API ownership across business units to resolve conflicts in roadmap prioritization and SLA accountability.
- Integrating API initiatives with existing enterprise architecture governance frameworks such as TOGAF or Zachman.
- Establishing criteria for retiring legacy interfaces when introducing modern RESTful or GraphQL replacements.
- Aligning API versioning strategy with product release cycles to minimize client disruption during backward-incompatible changes.
- Conducting cost-benefit analysis of building API gateways in-house versus adopting commercial platforms.
Module 2: API Design and Standardization
- Enforcing consistent URI structure, HTTP status codes, and error payload formats across cross-functional development teams.
- Choosing between REST, GraphQL, and gRPC based on payload size, client diversity, and real-time requirements.
- Implementing OpenAPI Specification (OAS) as a contract-first development standard with automated validation in CI pipelines.
- Designing pagination, filtering, and rate limiting mechanisms to prevent performance degradation under load.
- Documenting deprecation policies and sunset timelines in machine-readable formats for integration into client tooling.
- Standardizing naming conventions for resources, headers, and query parameters to reduce integration errors.
Module 3: API Security and Identity Management
- Integrating OAuth 2.0 flows (client credentials, authorization code) with existing identity providers like Active Directory or Okta.
- Implementing mutual TLS (mTLS) for service-to-service authentication in zero-trust network environments.
- Configuring scope-based access control to restrict third-party API clients to least-privilege permissions.
- Managing API key lifecycle including issuance, rotation, revocation, and audit logging for compliance.
- Validating and sanitizing input parameters to prevent injection attacks across JSON, XML, and form payloads.
- Deploying Web Application Firewalls (WAF) with API-specific rules to detect anomalous traffic patterns.
Module 4: API Gateway Implementation and Traffic Control
- Configuring request routing, transformation, and response caching rules in gateways like Kong, Apigee, or AWS API Gateway.
- Enforcing rate limits and quotas at the gateway level using sliding window or token bucket algorithms.
- Implementing circuit breakers and failover routing to isolate backend service outages and maintain partial functionality.
- Injecting custom headers for tracing, tenant identification, or geo-routing before forwarding requests to backends.
- Managing certificate rotation and TLS termination at scale across multiple gateway instances.
- Monitoring gateway-level latency and error rates to identify misconfigurations or upstream service degradation.
Module 5: Observability and Monitoring
- Instrumenting APIs with distributed tracing (e.g., OpenTelemetry) to track request flows across microservices.
- Correlating logs, metrics, and traces using a shared request ID for end-to-end debugging.
- Setting up alert thresholds for 5xx error rates, latency percentiles, and traffic volume anomalies.
- Storing and querying API payload samples for forensic analysis while complying with data privacy regulations.
- Generating usage reports by client, endpoint, and region to inform capacity planning and billing.
- Integrating monitoring dashboards with incident response tools like PagerDuty or Opsgenie for rapid triage.
Module 6: API Lifecycle Management and Governance
- Implementing a staging pipeline for API versions with automated testing in development, QA, and production environments.
- Enforcing API contract validation using tools like Dredd or Postman to prevent breaking changes in production.
- Managing API product catalogs with metadata such as owner, SLA, and approved consumers for audit purposes.
- Requiring security and performance reviews before promoting APIs from sandbox to production.
- Tracking API usage trends to identify underutilized endpoints for potential deprecation.
- Establishing escalation paths for API downtime, performance issues, and consumer support requests.
Module 7: Developer Experience and Ecosystem Enablement
- Providing interactive API documentation with executable code samples in multiple programming languages.
- Setting up self-service onboarding workflows for external developers including API key provisioning and usage tracking.
- Building and maintaining SDKs for key platforms to reduce integration time for strategic partners.
- Operating a developer portal with changelogs, status pages, and support forums to reduce direct support load.
- Collecting and prioritizing feature requests from API consumers through structured feedback mechanisms.
- Conducting API usability reviews to identify friction points in authentication, error handling, or payload design.
Module 8: Scalability, Performance, and Resilience
- Designing stateless API endpoints to enable horizontal scaling across containerized environments.
- Implementing response compression and efficient serialization formats (e.g., Protocol Buffers) for high-volume APIs.
- Using CDN caching for read-heavy, low-latency APIs serving static or semi-static data.
- Sharding backend databases and aligning API routing logic to reduce cross-shard queries.
- Stress-testing APIs under peak load to validate auto-scaling configurations and database connection pooling.
- Designing retry logic with exponential backoff and jitter in client applications to prevent thundering herd issues.