From data literacy to AI architecture
Move from data/AI literacy to applied Python machine learning and strategic solution architecture.
Data scientists, ML engineers, solution architects and leaders shaping AI strategy and implementation.
An applied introduction to data, analytics, AI and responsible use. Every module includes a tool-supported exercise.
Practical outcome
Present a mini use case with evidence, prototype output, risks and next-step recommendation.
An applied Python course covering the workflow from data preparation through model evaluation, deployment patterns and responsible practice. Every module includes tools and a specific exercise.
Practical outcome
Build and present a Python-based ML prototype with a decision metric, evaluation results, limitations and deployment/monitoring plan.
Equips leaders and architects to shape AI solutions, data/technology architecture, governance, operating models and value-realisation plans.
Practical outcome
Create an AI solution architecture and phased implementation roadmap for an organisation scenario.
These structured pathways include Data Science, AI & ML courses as part of a broader learning journey.
A structured progression from data/AI fundamentals through applied machine learning to solution architecture.
7 days · Foundation to Advanced
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