Introduction to AI concepts

Learning Path: Data Scientist (AI-Focused)

AI-focused Data Scientists extract insights from data and build predictive models to solve business problems. They combine statistics, ML, and domain expertise to turn raw data into decisions that drive organisations forward.

Learning Path: AI Ethics & Governance Specialist

AI Ethics and Governance Specialists ensure AI systems are developed and deployed responsibly — fairly, safely, transparently, and in compliance with laws and organisational values. They assess algorithmic bias, develop governance frameworks, conduct impact assessments, and ensure regulatory compliance with the EU AI Act, GDPR, and NIST frameworks.

Learning Path: Data Engineer (AI Pipelines)

Data Engineers build and maintain the infrastructure that collects, stores, transforms, and serves data to AI and ML systems. The AI Pipelines specialisation means focusing on reliable, scalable pipelines that feed training data to models and serve inference-time data to production AI applications. Without good data engineering, ML models cannot be trained or serve real users.