AI & Technology Course Catalog

Big Data Data Quality and Data Contracts for Reliable Data Platforms RuneLab Academy · 12 hours

Data quality engineering and data contracts: schema, freshness and business rule validation with Great Expectations, Soda, dbt tests and OpenDataContractStandard; SLA management between producer and consumer teams.

12 hours

Live Course

5 modules

Machine Learning & Applied Data Science Anomaly Detection with Machine Learning RuneLab Academy · 12 hours

Detecting unusual behaviour in unlabelled data with statistical methods, Isolation Forest, LOF, autoencoders and time series anomaly techniques, including threshold setting, alert fatigue and evaluation strategies.

12 hours

Live Course

5 modules

End-to-end machine learning with Scikit-learn, XGBoost, LightGBM, and CatBoost, covering feature engineering, Optuna hyperparameter tuning, imbalanced data, and SHAP/LIME explainability.

24 hours

Live Course

3 modules

Big Data Observability for Data Platforms and Distributed Systems RuneLab Academy · 12 hours

Observability for data pipelines and distributed systems: collecting metrics, logs, traces and data lineage with OpenTelemetry, Prometheus, Grafana and OpenLineage, anomaly detection and root-cause analysis.

12 hours

Live Course

5 modules

Machine Learning & Applied Data Science Fraud Detection with Machine Learning RuneLab Academy · 12 hours

Behavioural features, gradient boosting, anomaly scores and hybrid rule-model setups for payment, insurance and account fraud, with hands-on work on extreme class imbalance, delayed labels and operational threshold management.

12 hours

Live Course

5 modules

Machine Learning & Applied Data Science Risk Scoring and Credit Scorecard Modelling RuneLab Academy · 12 hours

Variable analysis with WoE/IV, logistic regression scorecards, gradient boosting alternatives, reject inference and score calibration for credit, insurance and supplier risk, building explainable and auditable risk scores.

12 hours

Live Course

5 modules

Machine Learning & Applied Data Science Customer Churn and Propensity Modelling RuneLab Academy · 12 hours

Churn, purchase and cross-sell propensity models covering target definition, customer behaviour features, survival analysis, uplift modelling and campaign targeting, turning predictions into measurable retention and sales actions.

12 hours

Live Course

5 modules

Machine Learning & Applied Data Science Recommendation Systems RuneLab Academy · 12 hours

Collaborative filtering, content-based and hybrid recommenders, matrix factorisation, implicit feedback, cold-start strategies and ranking metrics for building personalised product and content recommendation engines.

12 hours

Live Course

5 modules

Machine Learning & Applied Data Science Predictive Maintenance with Machine Learning RuneLab Academy · 12 hours

Failure probability and remaining useful life (RUL) prediction from sensor, telemetry and maintenance logs, with hands-on signal feature engineering, health indices, early-warning thresholds and maintenance cost optimisation.

12 hours

Live Course

5 modules

Machine Learning & Applied Data Science Demand Forecasting for Supply Chain and Retail RuneLab Academy · 12 hours

SKU-location demand forecasting covering promotions, price elasticity, stockout censoring adjustment, intermittent demand (Croston/ADIDA), hierarchical reconciliation and probabilistic forecasts tied to safety stock.

12 hours

Live Course

5 modules

Machine Learning & Applied Data Science Optimization and Decision Systems RuneLab Academy · 12 hours

Bridging predictive models and mathematical optimisation: LP/MILP formulation, capacity, scheduling, routing and budget/price allocation with OR-Tools and Pyomo, plus stochastic and contextual decision systems under uncertainty.

12 hours

Live Course

5 modules

Machine Learning & Applied Data Science Model Development with XGBoost and LightGBM RuneLab Academy · 12 hours

Mastering tabular gradient boosting with XGBoost, LightGBM and CatBoost: tree-growth strategies, native categorical and missing-value handling, ranking/quantile/custom objectives, monotonic constraints, Optuna and fast inference.

12 hours

Live Course

5 modules

Machine Learning & Applied Data Science Automated Machine Learning (AutoML) RuneLab Academy · 12 hours

Automated model selection, hyperparameter search and multi-layer stacking with AutoGluon, FLAML and Optuna, covering compute budget management, leakage checks and moving from rapid baselines to production.

12 hours

Live Course

5 modules

Machine Learning & Applied Data Science Explainable AI (XAI) RuneLab Academy · 12 hours

Glass-box models (EBM, GAM), TreeSHAP/KernelSHAP, ALE, counterfactual explanations (DiCE), uncertainty quantification and regulatory compliance for producing auditable, actionable explanations in high-stakes decisions.

12 hours

Live Course

5 modules

Machine Learning & Applied Data Science Causal Inference and Uplift Analytics RuneLab Academy · 12 hours

Moving from correlation to causation with DAGs, propensity scores, Double Machine Learning (EconML/DoWhy), heterogeneous treatment effects (CATE) and Difference-in-Differences to measure price, campaign and policy impact.

12 hours

Live Course

5 modules

Machine Learning & Applied Data Science Federated Learning and Privacy-Preserving ML RuneLab Academy · 12 hours

Collaborative model training across institutions or edge devices without centralising raw data: Flower framework, FedAvg/FedProx, non-IID data, differential privacy (Opacus) and secure aggregation.

12 hours

Live Course

5 modules

Machine Learning & Applied Data Science Online Machine Learning and Streaming Analytics RuneLab Academy · 12 hours

Incremental learning on streaming data with River, prequential evaluation, concept drift detection (ADWIN, Page-Hinkley) and contextual bandits for continuous adaptation in real-time systems.

12 hours

Live Course

5 modules

Machine Learning & Applied Data Science Graph Analytics and Graph Machine Learning RuneLab Academy · 12 hours

Modelling relational data with NetworkX and PyTorch Geometric: centrality and community algorithms, graph features, Node2Vec and GCN/GraphSAGE/GAT for node, link and subgraph prediction in fraud rings and supply networks.

12 hours

Live Course

5 modules

Machine Learning & Applied Data Science Tabular and Time-Series Foundation Models (TabPFN, Chronos, TimesFM) RuneLab Academy · 12 hours

In-context learning on tabular data with TabPFN v2, plus zero-shot and fine-tuned time-series forecasting with Chronos, TimesFM, Moirai and Lag-Llama, benchmarked against GBDTs and classical models.

12 hours

Live Course

5 modules

Comprehensive deep learning training with PyTorch 2.x covering tensor operations, autograd, CNNs, Transformers, LLM fine-tuning (LoRA/QLoRA), diffusion models, GNNs, and production deployment.

42 hours

Live Course

12 modules

Deep Learning & Natural Language Processing Deep Learning Fundamentals RuneLab Academy · 18 hours

Neural networks, forward pass, backpropagation, activation and loss functions, AdamW, dropout and batch normalisation, giving engineers the skills to build and train their first deep learning models in PyTorch.

18 hours

Live Course

5 modules

Infrastructure & Systems Administration Windows Server Installation, Configuration and Storage Management RuneLab Academy · 12 hours

Windows Server administration: Server Core and GUI installation, role and feature setup, Storage Spaces, ReFS/NTFS, SMB shares, iSCSI, Failover Clustering essentials and day-to-day operations with Windows Admin Center.

12 hours

Live Course

5 modules

Deep Learning & Natural Language Processing Advanced Deep Learning RuneLab Academy · 18 hours

Stable, large-scale deep learning covering BF16/FP16 mixed precision, multi-GPU training with DDP/FSDP, self-supervised and contrastive pretraining, metric learning, knowledge distillation and GPU profiling.

18 hours

Live Course

5 modules

Infrastructure & Systems Administration Microsoft SharePoint: Intranet, Document Management and Governance RuneLab Academy · 12 hours

Enterprise intranet and document management with Microsoft SharePoint: hub and team sites, document libraries, metadata and content types, permission architecture, Power Automate approval flows and Microsoft 365 governance.

12 hours

Live Course

5 modules