Transforming Businesses Through AI

This week, learners will break down common buzzwords such as Artificial Intelligence, Data Science, Machine Learning, Deep Learning, and Generative AI. They’ll explore the practical uses of AI in enhancing judgment, interaction, and automation within business functions. The R.O.A.D. framework will be introduced to help structure and manage AI projects from planning to execution.

This week, learners will be introduced to core Machine Learning types and applications across domains. They will explore the AI lifecycle and learn model evaluation techniques using precision, recall, F1-score, and accuracy. Overfitting and underfitting will also be covered to help learners assess model effectiveness.

This week, learners will examine key algorithms such as Support Vector Machines, Naïve Bayes, Decision Trees, Random Forests, and Neural Networks. Learners will learn how to compare and select algorithms based on strengths, weaknesses, and trade-offs for different business problems.

This week, learners will explore the fundamentals of data structures and types, including nominal, ordinal, and categorical data. They will learn how to assess labeling quality, understand cognitive limits, and evaluate trade-offs between data size, consistency, and quality

This week, learners will study memory usage in AI systems and learn strategies for managing memory and balancing computational efficiency. The week will emphasize optimizing resources to enhance AI solution performance.

This week, learners will explore various forms of bias: algorithmic, human, and measurement, and learn mitigation strategies using risk-based and human baseline approaches. Topics such as data privacy, international regulations, and principles of Responsible AI will also be discussed.

This week, learners will explore the core components of Generative AI, including the architecture and function of Convolutional Neural Networks, Transformers, and Large Language Models. They’ll examine how these models enable today’s GenAI tools and conclude with a discussion on practical business applications and emerging opportunities in the field.

This week, learners will identify essential AI project roles, determine what can be automated, and understand the AI talent supply chain. The week will also focus on building cognitively diverse teams and assessing performance to ensure meritocracy and innovation

This week, learners will explore how to achieve value realization by establishing strong data governance and designing scalable operating models. Learners will also study continuous improvement methods and custom solutions for project execution

This week, learners will be introduced to project delivery at scale using agile methodologies. The focus will be on identifying and managing risks, optimizing delivery, and ensuring the sustainability of large-scale AI implementations.