Course Outline

Introduction to Artificial Intelligence (AI), Machine Learning (ML), and Data Science for Government

  • Historical Context of AI and Combinatorial Technologies
  • Overview of AI, Key Concepts, Narrow and General AI, and Different Types of AI
  • AI Capabilities: Sensing, Reasoning, and Acting
  • Cognitive Processes in AI: Machine Learning
  • Advanced Analytics Versus Artificial Intelligence
  • Historical Evolution of AI and Future Prospects
  • Four Types of Data Analytics for Government Operations
  • The Analytics Value Chain in Public Sector Applications
  • Understanding Algorithms Without Technical Jargon
  • Supervised Learning: Foundations and Applications
  • Unsupervised Learning: Patterns and Clustering
  • Reinforcement Learning: Decision-Making Processes
  • Data as a Critical Resource for AI in Government
  • Structured and Unstructured Data: The 5 V's of Data for Government
  • Data Governance Principles for Public Sector
  • Building a Robust Data Engineering Platform for Government
  • Fundamentals of Data Architecture for Government
  • Big Data Reference Architecture in the Public Sector
  • Three Categories of Data Usage for Government Operations

AI Opportunity Matrix for Government

Successful Use Cases by Porter's Value Chain

  • Primary Activities in Government Services
  • Supporting Activities in Government Operations

Successful Use Cases by Technology for Government

  • Natural Language Processing (NLP)
  • Image Recognition
  • Machine Learning Applications in the Public Sector

Ideation of AI Projects for Government

  • The AI Funnel Process for Project Development
  • Various Idea Generation Approaches for Government
  • Prioritizing AI Projects in the Public Sector
  • The AI Project Canvas for Government Initiatives

Running AI Projects for Government

  • The Machine Learning Life Cycle in Government Applications
  • The AI and Machine Learning Canvas for Public Sector Projects
  • Deciding When to Develop or Procure AI Solutions for Government

Transforming into an AI-Ready Organization for Government

  • Utilizing the AI Strategy Cycle for Public Sector Transformation
  • Dimensions of the AI Framework in Government
  • Practical Approach to Assess AI Maturity in Government Organizations
  • Optimal Organizational Structures for AI Implementation in the Public Sector
  • Benefits of Establishing an AI Center of Excellence in Government
  • Essential Skills and Competencies for AI Professionals in Government

AI and Ethics for Government

  • Identifying Risks Associated with AI in the Public Sector
  • Ethical Guidelines for AI Use in Government
  • Ensuring Trustworthy AI in Government Operations
 35 Hours

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