Verified SkillNyx certification

Certified SkillNyx Advanced Python Expert (CS-APE)

Validates advanced Python engineering across performance, concurrency, and production-grade design.

Software EngineeringADVANCEDAssessments + Labs

This certification validates senior-level Python skills used in real production systems, from API design to performance tuning and reliability engineering. It assesses the ability to write clean, scalable, testable code under constraints and to diagnose issues using evidence (profiling, logs, and metrics).

Pricing & exam snapshot

₹8,999

Approx. $110

Duration

3h

MCQs

40

Labs

2

Included: Labs, assessments, and a verifiable certificate ID.
Topics covered (syllabus)
  • Python data model and advanced OOP
  • Concurrency (asyncio, threads, processes) and cancellation
  • Performance profiling and optimization
  • Memory efficiency and large-data handling
  • Typing, generics, and API design
  • Testing strategy and reliability patterns
  • Observability and debugging in production
Skills covered
  • Designing maintainable Python modules and service boundaries
  • Implementing safe concurrency with clear timeout semantics
  • Profiling bottlenecks and optimizing with measurable impact
  • Using typing to improve correctness and refactorability
  • Writing robust tests and failure-resilient logic
  • Debugging production issues with logs/metrics
  • Reviewing code for quality, risk, and maintainability
Job roles and salary range
  • Senior Python Developer
  • Backend Engineer (Python)
  • Platform Engineer
  • Data Engineer (Python)
  • Technical Lead (Python)

Salary range per annum

₹18-45 LPA

Alt: $85k-$180k

Exam pattern
  • Proctored exam, 180 minutes
  • Randomized attempt assembled from a pool of 40 MCQs and 2 labs
  • Scenario-driven questions focused on production decisions
  • Labs graded on correctness, edge-case handling, and efficiency
  • Passing requires minimum thresholds across both MCQs and labs
Labs & assessments
  • Async Job Orchestrator with Timeouts and Retries
  • Profiling and Optimizing a Slow Data Pipeline
  • Meeting Room Utilization Reporter
  • ETL Schema Drift Detector
  • Alert Storm Deduplicator
Labs are required and included as part of certification scoring.
Outcomes
  • Ship production-quality Python with strong reliability practices
  • Make performance improvements based on profiling evidence
  • Use concurrency patterns safely with predictable behavior
  • Design clean APIs and typed interfaces for long-lived codebases