Verified SkillNyx certification
Certified SkillNyx AI Solutions Architect (CS-AISA)
Proves end-to-end architecture capability for secure, scalable, governed AI solutions.
Artificial IntelligenceADVANCEDAssessments only
This certification assesses the ability to design AI systems from business requirements to production deployment, including data pipelines, model lifecycle, integration, and governance. Candidates demonstrate sound trade-offs across latency, cost, privacy, and reliability, with strong emphasis on operational readiness and responsible AI.
Pricing & exam snapshot
₹8,999
Approx. $110
Duration
3h
MCQs
300
Labs
0
Included: Labs, assessments, and a verifiable certificate ID.
Topics covered (syllabus)
- AI reference architectures and system design
- Data architecture for ML (batch/streaming, feature patterns)
- Model lifecycle and deployment patterns
- MLOps (CI/CD, monitoring, rollback, SLOs)
- Security, privacy, and compliance for AI workloads
- Responsible AI (fairness, explainability, risk controls)
- Cost optimization and capacity planning
Skills covered
- Translating business outcomes into AI architecture blueprints
- Designing scalable data/ML pipelines with clear contracts
- Selecting deployment patterns with measurable trade-offs
- Defining governance artifacts (model cards, approvals, audit trails)
- Implementing observability for data, model, and system health
- Designing secure access, encryption, and isolation for AI components
- Leading architecture reviews and stakeholder alignment
Job roles and salary range
- AI Solutions Architect
- Machine Learning Architect
- AI Platform Architect
- Principal Engineer (AI/ML)
- Technical Program Lead (AI)
Salary range per annum
₹28-75 LPA
Alt: $140k-$280k
Exam pattern
- Proctored exam, 180 minutes
- Randomized attempt assembled from a pool of 300 MCQs
- Architecture scenarios covering trade-offs, failure modes, and governance
- Questions emphasize security, reliability, and operating model readiness
- Scoring rewards clear reasoning over memorized definitions
Labs & assessments
This certification focuses on assessments, with optional lab practice.
Outcomes
- Architect AI systems aligned to reliability, security, and cost targets
- Define practical MLOps and governance standards for production teams
- Choose deployment and integration patterns with defensible trade-offs
- Communicate architecture decisions effectively to stakeholders