Corporate AI & Technology Training Catalog

Comprehensive big data processing training covering Apache Spark architecture, RDD and DataFrame APIs, Spark SQL, Structured Streaming, MLlib, GraphX, and distributed cluster performance tuning.

30 hours

Live Course

10 modules

Big Data Streaming Analytics: Real-Time Data Processing and Analysis RuneLab Academy · 12 hours

Real-time analytics with Kafka, Apache Flink and Spark Structured Streaming: windowing, event time, watermarks, stateful processing and live dashboards. For data engineers and analytics teams.

12 hours

Live Course

5 modules

Machine Learning & Applied Data Science Machine Learning Fundamentals RuneLab Academy · 12 hours

Supervised and unsupervised learning, train/test splits, overfitting, core metrics and first models in scikit-learn, so technical teams can frame a business problem as an ML task and build a sound baseline.

12 hours

Live Course

5 modules

Machine Learning & Applied Data Science Advanced Machine Learning RuneLab Academy · 12 hours

Gradient boosting, ensembles and stacking, hyperparameter optimisation with Optuna, imbalanced data, probability calibration and custom loss functions for experienced data scientists building production-grade models.

12 hours

Live Course

5 modules

Big Data Hadoop, Hive and HBase: The Hadoop Ecosystem in Practice RuneLab Academy · 12 hours

The Hadoop ecosystem with HDFS, YARN, Hive and HBase: distributed storage, SQL analytics in HiveQL, partitioning and ORC/Parquet tuning, low-latency access with HBase and migration paths to a modern lakehouse.

12 hours

Live Course

5 modules

Machine Learning & Applied Data Science Machine Learning for Data Analysis RuneLab Academy · 12 hours

Takes analysts beyond classic reporting with segmentation, driver analysis, anomaly flagging and simple predictive models in Python, scikit-learn and SHAP, producing analyses that tie insight to business decisions.

12 hours

Live Course

5 modules

Big Data Data Engineering Fundamentals RuneLab Academy · 18 hours

An introduction to data engineering: ETL/ELT, data modelling, data warehouses and lakehouses, batch and streaming, orchestration and data quality, learned by designing an end-to-end sample data pipeline.

18 hours

Live Course

5 modules

Big Data Python for Data Engineering RuneLab Academy · 18 hours

Python for data engineers: data transformation with pandas and Polars, ingestion from APIs and databases, working with Parquet, testable and packaged pipeline code, logging and error handling.

18 hours

Live Course

5 modules

Machine Learning & Applied Data Science Feature Engineering for Machine Learning RuneLab Academy · 18 hours

Categorical encoding, time and window-based features, target encoding, interaction and text features, feature selection and feature stores: a systematic approach to the step that most improves model performance on tabular data.

18 hours

Live Course

5 modules

Big Data PySpark: Distributed Data Processing with Python RuneLab Academy · 12 hours

PySpark for Python developers: the DataFrame API, Spark SQL, UDFs and pandas API on Spark, join and shuffle optimisation, working with Delta Lake tables and running jobs on Databricks or EMR.

12 hours

Live Course

5 modules

Machine Learning & Applied Data Science Model Evaluation and Explainability RuneLab Academy · 12 hours

Choosing the right metrics, evaluation tied to business KPIs, error analysis, fairness checks and model explanation with SHAP, LIME and PDP, so models can be presented to stakeholders reliably and understandably.

12 hours

Live Course

5 modules

Machine Learning & Applied Data Science Model Validation and Model Risk Management RuneLab Academy · 12 hours

Independent model validation: data and conceptual soundness checks, backtesting, stability (PSI), challenger models, stress tests and findings reporting, producing a validation report aligned with a model risk management framework.

12 hours

Live Course

5 modules

Big Data Apache Kafka for Event Streaming RuneLab Academy · 12 hours

Event streaming with Apache Kafka: topic, partition and consumer group design, producer/consumer development, Kafka Connect and Schema Registry, KRaft architecture, security and monitoring. For developers and ops teams.

12 hours

Live Course

5 modules

Machine Learning & Applied Data Science Time Series Forecasting RuneLab Academy · 12 hours

Time series forecasting with ARIMA, ETS, Prophet and LightGBM-based approaches, working hands-on with seasonality, exogenous variables, hierarchical series, backtesting and prediction intervals to build reliable forecasts.

12 hours

Live Course

5 modules

Big Data Apache Airflow: Workflow Orchestration for Data Pipelines RuneLab Academy · 12 hours

Workflow orchestration for data and ML pipelines with Apache Airflow: DAG design with the TaskFlow API, dynamic task mapping, asset/dataset-driven scheduling, KubernetesExecutor, testing and production monitoring.

12 hours

Live Course

5 modules

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

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

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 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