The webinar sessions will cover the following topics:
- Technical Introduction to AI – foundational concepts and approaches underlying modern AI systems;
- Data Management for AI – preparing, organizing, and managing data for effective AI development;
- The AI/ML Lifecycle – the major stages involved in developing, deploying, and maintaining AI/ML solutions;
- Classical Machine Learning Pipeline – an overview of the end-to-end process for building and evaluating classical machine learning models; and
- Explainable AI – approaches for understanding and interpreting AI/ML model outputs and decisions.
Through these sessions, participants will gain a more structured understanding of the technical foundations of AI/ML and the processes involved in translating data and organizational requirements into practical AI solutions.