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 Duration 7 hours

Course Outline

10:00 AM - 11:00 AM

Introduction to Artificial Intelligence

This segment provides a foundational overview of artificial intelligence (AI), machine learning, and deep learning. Participants will review essential terminology, assess current capabilities, and analyze the operational impact of these technologies across various sectors.

11:00 AM - 12:00 PM

How AI Works: Data, Models, and Learning

An in-depth examination of how AI systems derive learning from data. The session explores underlying algorithms, the role of training data, and the critical importance of accuracy, fairness, and data quality in system performance.

12:00 PM - 1:00 PM

Applications of AI in the Modern World

This section analyzes how AI is transforming public and private sectors, including healthcare, education, and government, by enhancing efficiency, supporting data-driven decision-making, and improving service delivery. The discussion will also demonstrate how these principles apply across a broad spectrum of industries—from business and finance to manufacturing, logistics, and creative fields—illustrating the universal potential of AI for government and enterprise operations.
 

1:00 PM - 2:00 PM

Lunch Break

2:00 PM - 3:00 PM

Understanding AI Limitations and Risks

A critical assessment of the capabilities and constraints of AI systems. The discussion addresses key issues such as algorithmic bias, transparency, data privacy, and ethical considerations that impact responsible adoption and governance.

3:00 AM - 4:00 PM

Tools and Technologies in AI

Familiarization with common AI tools and platforms, ranging from automation and analytics to emerging generative AI systems. Participants will learn how these technologies integrate into existing operational environments and business processes for government and commercial entities.

4:00 PM - 5:00 PM

Building Your AI Awareness Roadmap

An interactive concluding session designed to help participants identify potential AI opportunities within their specific fields, establish learning objectives, and prepare for Day 2, which focuses on advanced business applications and governance frameworks.

Requirements

  • A working understanding of basic computer concepts and terminology
  • Experience with standard office or business software tools (e.g., Excel, PowerPoint, or data dashboards)
  • No prior programming experience is required

Audience

  • Business professionals seeking to understand the impact of AI on their industry
  • Managers, analysts, and decision-makers exploring AI integration in operations or strategy
  • Technical and non-technical staff aiming to build a foundational understanding of AI concepts and terminology for government and corporate environments

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