- info@whitestoneinternationalcollege.org.uk
- +44 20 3727 6493
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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 Machine Learning & MLOps
The Advanced Professional Certificate in Administration & Office Management equips participants
with the skills and tools to manage offices and administrative functions with efficiency,
professionalism, and strategic alignment.
Course Overview
The Advanced Professional Certificate in Machine Learning & MLOps equips professionals to build,
deploy, and operate machine learning systems reliably in production.
The programme blends supervised/unsupervised ML, feature engineering, model evaluation, ML
pipelines, experiment tracking, CI/CD for ML, model serving, monitoring, and drift
management—aligned with MLOps/SRE and responsible AI practices.
Why This Course is Important?
- From notebooks to value: Most ML fails at deployment—MLOps closes the gap.
- Reliability: Production ML needs observability, rollback plans, and governance.
- Career demand: Strong market need for engineers who can make ML deliver business outcomes.
Learning Outcomes
By the end of this programme, participants will be able to:
- Select and train ML models for prediction, classification, and clustering.
- Engineer features and evaluate models with robust validation.
- Build reproducible ML pipelines and track experiments.
- Implement CI/CD for ML, containerisation, and model serving.
- Monitor performance/drift and run A/B or shadow deployments.
- Apply responsible AI (explainability, bias checks, and governance).
Target Audience
- Data Scientists and ML Engineers
- Analytics/BI Developers moving into ML
- Software Engineers building ML-powered products
- Technical Product Managers and Platform Engineers
Entry Requirements
- Python proficiency and basic ML/statistics exposure recommended.
- Proficiency in English (IELTS 5.5 or equivalent suggested).
Programme Structure & Modules
- Supervised vs. unsupervised tasks; metric selection
- Train/validation/test splits; cross-validation; leakage avoidance
- Baselines and iterative model strategy
- Encoding, scaling, missing data, and leakage controls
- Tree ensembles, linear/logistic, SVM, clustering
- Metrics (ROC-AUC, PR-AUC, RMSE, F1), calibration, and fairness checks
- Scikit-learn/PyTorch/TensorFlow pipelines
- Experiment tracking (MLflow/Weights & Biases)
- Reproducibility, environments, and dependency management
- Containerisation (Docker) and orchestration (Airflow/Prefect)
- Model serving (Batch/API), feature stores, and registries
- CI/CD for ML (GitHub Actions/GitLab CI), infra-as-code
- Data/feature/model drift detection and alerting
- Shadow/blue-green deployments and rollbacks
- Explainability (SHAP/LIME), bias & privacy considerations
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 + hands-on labs + capstone
Duration
5 days (intensive) or 3–4 weeks (part-time blended)
CPD Hours: 40 hours
- Assessment: Production ML pipeline + knowledge test
- Certification: Successful participants are awarded the Advanced Professional Certificate in Machine Learning & MLOps.
- UK-issued advanced certificate recognised internationally
- Toolkits: ML pipeline template, MLflow/W&B quickstart, monitoring checklist, responsible- AI checklist, deployment runbook
- Immediate impact on time-to-production, model reliability, and ROI
Aligned with DAMA-DMBOK data governance, MLOps/SRE practices, ISO/IEC AI governance trends, and privacy regulations (e.g., GDPR).
Programme Fees
Clear Fee Structure With No Hidden Costs
£
545
Per Course
-
Industry-focused programmes with global standards.
-
Practical skills for real-world success.
-
Academic excellence with career-ready outcomes.
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