Course Outline

Introduction

Overview of Artificial Intelligence (AI)

  • Machine learning systems

Exploring Applications for AI in the Public Sector

  • AI applications for government operations

Learning About the Technology of AI

  • Understanding underfitting and overfitting, classification, and regularization
  • Multi-layer perceptron (MLP) and deep learning techniques
  • Convolutional and recurrent neural networks

Assessing Strategic Approaches for Government

  • Commissioning or procurement decisions: build versus buy
  • AI maturity models tailored for government organizations

Working With Data in Your Organization

  • Evaluating data readiness
  • Utilizing word embeddings
  • Training with synthetic data

Assessing AI Project Selection for Government

  • Criteria for selecting AI projects in the public sector

Managing an AI Project for Government

  • Differentiating between machine learning and deep learning approaches
  • Project management practices (lifecycle, timelines, methodologies)
  • Operations, maintenance, and risk management strategies

Gathering Feedback for Government AI Projects

  • Implementing feedback methods (surveys, interviews, etc.)
  • Identifying key stakeholders who will provide feedback
  • Analyzing and interpreting feedback results

Summary and Next Steps for Government AI Initiatives

Requirements

  • No prerequisites required for government

Audience

  • Business leaders in the public sector
  • Project managers for government initiatives
 7 Hours

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