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Course Outline

10:00 AM - 11:00 AM

Foundations of Artificial Intelligence

Provide an overview of the fundamental concepts encompassing artificial intelligence (AI), machine learning, and deep learning. Define key terminology, assess current technical capabilities, and evaluate the operational impact across various public and private sectors.

11:00 AM - 12:00 PM

Operational Mechanisms: Data, Models, and Learning Processes

Examine the methodology by which AI systems derive insights from data. Analyze underlying algorithms, the critical role of training datasets, and the necessity of maintaining high standards for accuracy, fairness, and data integrity in public sector applications for government use.

12:00 PM - 1:00 PM

Artificial Intelligence Applications in Contemporary Systems

Analyze the transformation of sectors including healthcare, education, and federal agencies through increased operational efficiency, data-driven policy formulation, and improved service delivery. Explore the applicability of these principles across diverse industries—such as finance, manufacturing, logistics, and creative services—to demonstrate the broad utility of AI for government and commercial entities alike.
 

1:00 PM - 2:00 PM

Lunch Break

2:00 PM - 3:00 PM

Evaluation of AI Limitations and Associated Risks

Assess the technical boundaries of current AI capabilities. Address critical governance issues including algorithmic bias, transparency requirements, data privacy protections, and ethical considerations that influence responsible adoption within government operations.

3:00 AM - 4:00 PM

AI Tools and Technological Infrastructure

Review prevalent AI platforms and tools, ranging from automation frameworks and analytical utilities to emerging generative AI systems. Evaluate their integration potential within existing organizational workflows and IT environments for government agencies.

4:00 PM - 5:00 PM

Development of an AI Awareness Strategic Roadmap

Conclude with an interactive session to identify potential AI implementation opportunities within specific domains. Establish learning objectives and prepare for Day 2, which will focus on detailed business applications and governance frameworks for government leadership.

Requirements

  • Foundational knowledge of computer systems and associated terminology
  • Proficiency in standard enterprise productivity applications, including spreadsheet programs, presentation software, and data visualization tools
  • No coding or software development background is necessary

Target Participants

  • Business practitioners aiming to evaluate the influence of artificial intelligence on their respective sectors
  • Executives, analysts, and strategic planners assessing the integration of AI capabilities into operational workflows or organizational strategy
  • Personnel from both technical and non-technical disciplines seeking to establish a fundamental grasp of AI principles and lexicon for government operations
 7 Hours

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