Introduction to AI & ML Technologies/ Applications - Understanding the Technology Landscape - Tools & Platforms for organisations to deploy AI & ML solutions - Importance of Data (where to find it, how to store, manipulate, and attribute it) - Statistical Foundations - Storytelling with Data Visualisation Techniques.

Introduction to Machine Learning - Supervised Learning - Unsupervised Learning - Ensemble Techniques - Recommendation Systems - Reinforcement Learning – Application of Machine Learning.

Linear Regression – Logistic regression – Decision Tree – random forest - KNN - Neural Networks - Deep Learning & Visualisation – NLP - Text Analytics (Sentiment Analysis, Social Media Analytics).

Digital Transformation with AI & ML - Creating an AI & ML Strategy for your organisation (Link to strategic goals, business model fit, ROI, success measure, data requirements) - Implementation and Change Management Considerations - Applications of AI & ML in (Marketing, Sales, Finance, Operations, Supply Chain & Human Resources) - Data Governance, Legal and Ethical Issues Future of AI & ML in business

Visualisation techniques - Importance of Context - Lessons in Story telling - Usage of Data to influence decisions -Basic Visualisation Skill