- info@whitestoneinternationalcollege.org.uk
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- Mon - Fri : 08.00-17.00
Whitestone International College of Innovation delivers quality-assured, standards-aligned programmes that integrate academic rigour, industry relevance, and digital fluency to develop principled leaders who deliver measurable impact.
- London, United kingdom
- +44 20 3727 6493
-
Info@whitestoneinternational
college.org.uk
United States
United Arab Emirates
India
Courses
Advanced Professional Certificate in AI Engineering & MLOps (Pipelines, Serving & Monitoring)
The Advanced Professional Certificate in AI Engineering & MLOps (Pipelines, Serving & Monitoring)
equips teams to industrialise AI—moving from notebooks to reliable, cost-controlled production
systems.
Course Overview
The Advanced Professional Certificate in AI Engineering & MLOps (Pipelines, Serving & Monitoring)
equips teams to industrialise AI—moving from notebooks to reliable, cost-controlled production
systems.
The programme blends data/feature pipelines, model packaging, CI/CD for ML/GenAI,
online/batch serving, observability & drift detection, governance & rollback across common stacks
(Python, Docker, Kubernetes, Airflow/Prefect, MLflow/W&B, feature/model stores).
Why This Course is Important?
- Deployment gap: Most AI value is lost between prototype and production—MLOps closes it.
- Reliability & cost: Observability, autoscaling, and guardrails protect SLAs and budgets.
- Compliance: Traceable pipelines, versioned artefacts, and audit trails support governance.
Learning Outcomes
By the end of this programme, participants will be able to:
- Design reproducible data & feature pipelines with quality checks.
- Package models with Docker/containers and register artefacts.
- Implement CI/CD for ML/GenAI (tests, approvals, model registry promotion).
- Serve models batch/API/stream with autoscaling and canary/blue-green rollout.
- Monitor latency, accuracy, drift, bias, and cost; automate alerts & rollbacks.
- Operate within governance frameworks (lineage, versioning, policy/PII handling).
Target Audience
- ML/AI Engineers, Data Engineers, Platform/DevOps Engineers
- Senior Data Scientists moving into production ML/GenAI
- Technical Product/Platform Managers and Solution Architects
Entry Requirements
- Competence in Python and basic ML; familiarity with cloud or container platforms is helpful.
- Proficiency in English (IELTS 5.5 or equivalent suggested).
Programme Structure & Modules
- Reference architectures (batch, real-time, event-driven)
- Data/feature stores, model registries, lineage & artefact management
- SLAs/SLOs: availability, latency, accuracy, and cost objectives
- ETL/ELT with Airflow/Prefect; data contracts & validation (Great Expectations)
- Unit/integration tests for data & models; reproducibility patterns
- CI/CD for ML: GitOps, approvals, registry promotion, infra-as-code (Terraform)
- Docker images, dependency isolation, and security scanning
- Serving patterns: batch scoring, REST/gRPC, async queues
- Feature stores, vector stores (for RAG), and low-latency retrieval
- Telemetry: logs/metrics/traces; model & data drift detection
- Shadow/canary/blue-green; auto-rollback runbooks
- Cost governance: autoscaling, caching, quantisation/distillation
- Lineage, model cards, and decision logs; access controls & PII protection
- Approval workflows, rollback strategy, and post-incident reviews
- Coordinating with Risk, Legal, and Security (change/advisory boards)
Awarding Body
Whitestone International College of Innovation
United Kingdom
Qualification Type
Advanced Professional Certificate
(Industry-aligned, regulated qualification issued by Whitestone International College of Innovation, UK)
Delivery Mode
Classroom – London (UK) / Dubai (UAE) campuses
Live Online – Instructor-led virtual sessions
Blended Learning –Pre-study resources + workshops + project simulation
Duration
5 days (intensive) or 3–4 weeks (part-time blended)
CPD Hours: 40 hours
- Assessment: Working production AI service (repo + pipeline + monitoring) + knowledge test
- Certification: Successful participants are awarded the Advanced Professional Certificate in AI Engineering & MLOps (Pipelines, Serving & Monitoring).
- UK-issued advanced certificate recognised internationally
- Toolkits: MLOps reference repo, CI/CD templates, observability & drift checklists, rollback playbook, model card template
- Immediate uplift in time-to-production, reliability, compliance, and cost control
Aligned with MLOps/SRE best practices, cloud well-architected frameworks (AWS/Azure/GCP), emerging ISO/IEC AI governance trends, and privacy/security principles (e.g., GDPR).
Programme Fees
Clear Fee Structure With No Hidden Costs
£
615
Per Course
-
Industry-focused programmes with global standards.
-
Practical skills for real-world success.
-
Academic excellence with career-ready outcomes.
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