Professional Training Courses
For Individual Skills & For Organizations

Key Skills You'll Learn

• Translate a business question into a well-defined modelling task with measurable success criteria.
• Clean, validate and document datasets using reproducible pandas workflows.
• Engineer features and build baseline models before moving to complex methods.

Key Skills You'll Learn

• Build a data and machine learning strategy aligned with organisational priorities.
• Score and prioritise use cases by value, feasibility, data readiness and risk.
• Design the structure, roles and operating model of a data science team.

Key Skills You'll Learn

• Frame business problems as data science questions with measurable success criteria.
• Clean, transform and explore data using Python, pandas and visualisation libraries.
• Engineer features and handle missing values, outliers and categorical variables.

Key Skills You'll Learn

• Frame business problems as data science questions with measurable success criteria.
• Clean, explore and visualise datasets using Python, pandas and Matplotlib.
• Build regression and classification models and evaluate them with appropriate metrics.

Key Skills You'll Learn

• Frame business questions as well-posed machine learning problems with sound success metrics.
• Prevent data leakage and select validation strategies for tabular, temporal and grouped data.
• Engineer, encode and select features for high-performing models.

Key Skills You'll Learn

• Develop a data engineering strategy and roadmap tied to business priorities.
• Compare architecture patterns such as warehouse, lake, lakehouse and data mesh and select suitably.
• Design and tune relational and NoSQL databases for transactional and analytical workloads.

Key Skills You'll Learn

• Define service levels and operational metrics for data platforms and ERP data flows.
• Diagnose and tune slow queries using execution plans, indexing and statistics.
• Implement backup, restore and disaster recovery routines and test them.

Key Skills You'll Learn

• Design normalised relational schemas and dimensional models for reporting.
• Write efficient SQL using joins, window functions and common table expressions.
• Tune queries with indexes, execution plans and sensible partitioning.

Key Skills You'll Learn

• Develop a cloud adoption strategy and target operating model for an organisation.
• Design secure, well-governed landing zones across accounts and environments.
• Measure delivery performance using DORA metrics and improve flow.

Key Skills You'll Learn

• Connect AI use cases to digital transformation strategy and measurable business value.
• Establish AI governance structures, roles, policies and approval processes.
• Interpret the requirements of ISO/IEC 42001 and plan a management system.

Key Skills You'll Learn

• Explain the principles of responsible AI and the governance models used to apply them.
• Interpret the clauses and Annex controls of ISO/IEC 42001 and plan their implementation.
• Define the scope, policy, roles and objectives of an AI management system.

Key Skills You'll Learn

• Explain how AI systems are developed, deployed and monitored, and where governance fits in the lifecycle.
• Apply principles of fairness, transparency, accountability and human oversight to real use cases.
• Compare the NIST AI Risk Management Framework, the EU AI Act and ISO/IEC 42001 and decide how each applies.