AI Fundamentals

Artificial Intelligence is one of the most transformative technologies of our time, shaping industries, economies, and the way we work. This introductory session, AI Fundamentals, is designed to give professionals a clear and practical understanding of the core concepts that drive today’s AI systems.

Participants will gain insight into what AI is, how it works, and why it matters. The session will cover the essential building blocks of AI, including machine learning, data quality, algorithms, and model training, while dispelling common myths and clarifying key terminology. Through real-world examples, we will explore how organizations are already applying AI to solve complex problems, enhance productivity, and deliver new value.

We will also discuss the challenges and responsibilities that come with AI adoption, such as data bias, transparency, and privacy. The session concludes with a guided exercise to help participants identify potential AI opportunities within their own fields and outline the next steps for responsible implementation.

By the end of the training, participants will have a strong foundational understanding of artificial intelligence—its capabilities, its limitations, and its potential to drive meaningful change. This knowledge will serve as the groundwork for the following session, AI for Business Professionals, which builds on these fundamentals to explore strategic applications and governance.

Info: Kick off with an overview of AI, machine learning, and deep learning. Understand key terms, current capabilities, and real-world impact across industries.

Info: Dive into how AI systems learn from data. Explore algorithms, training data, and the importance of accuracy, fairness, and data quality.

Info: Examine how AI is transforming industries such as healthcare, education, and government through improved efficiency, data-driven decision-making, and enhanced service delivery. We will also explore how these same principles apply across a wide range of sectors—from business and finance to manufacturing, logistics, and creative industries—demonstrating that the potential of AI reaches every professional field.

Info: Examine what AI can and cannot do. Discuss issues such as bias, transparency, data privacy, and ethical considerations that influence adoption.

Info: Get familiar with common AI tools and platforms, from automation and analytics to emerging generative AI systems. Learn how they fit into existing business environments.

Info: Interactive wrap-up session. Identify potential AI opportunities in your field, set learning goals, and prepare for Day 2’s deeper dive into business applications and governance.

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