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Education . Domain 03
Data & AI
What it covers
Analytics and business intelligence with Excel, SQL, Power BI and Tableau; data science with Python; machine learning, deep learning, natural language processing and computer vision; generative AI and prompt engineering; MLOps for putting models into production.
Who it is for
Analysts, engineers and professionals moving into AI and data roles.
How it connects
From reading data to building systems that reason with it. Analysis, modelling and deployment are taught as one continuum.
17 programmes
Every programme runs Learn → Practise → Build → Experience → Demonstrate and ends in a capstone. Enter at any level and progress continuously.
03 . Data & AIAI Data Science300–400 hours03 . Data & AIData Science with Python70 hours . Beginner to Advanced03 . Data & AIMachine Learning70 hours . Beginner to Advanced03 . Data & AIDeep Learning60 hours . Advanced03 . Data & AINatural Language Processing50 hours . Intermediate to Advanced03 . Data & AIComputer Vision50 hours . Intermediate to Advanced03 . Data & AIMLOps50 hours . Advanced03 . Data & AIGenerative AI (Beginner to Advanced)80 hours . Beginner to Advanced03 . Data & AIAdvanced Generative AISyllabus →03 . Data & AIPrompt Engineering30 hours . Beginner to Advanced03 . Data & AIData Analytics & Business Intelligence340 hours . Beginner to Advanced03 . Data & AIData Analytics with Power BI & Tableau60 hours . Beginner to Advanced03 . Data & AIPower BI45 hours . Beginner to Advanced03 . Data & AITableau40 hours . Beginner to Advanced03 . Data & AIData Visualization25 hours . Beginner to Intermediate03 . Data & AIBusiness Analytics40 hours . Intermediate03 . Data & AIFinancial Analytics40 hours . Intermediate to Advanced