Course Outline

Introduction to Artificial Intelligence (AI)

  • Definition of Artificial Intelligence
  • Historical milestones in AI development
  • Differentiating between AI, Machine Learning, and Deep Learning
  • Categories of AI: Narrow AI, General AI, and Superintelligent AI

Fundamental AI Concepts for Government

  • Data, algorithms, and models in the context of government operations
  • Basics of Machine Learning: Supervised, Unsupervised, and Reinforcement Learning
  • Introduction to neural networks and Deep Learning
  • An overview of Natural Language Processing (NLP)

AI Applications in Real-World Scenarios for Government

  • AI applications in healthcare, finance, retail, and transportation sectors relevant to government operations
  • Use of intelligent virtual assistants and chatbots in public services
  • AI-driven business analytics and decision-making processes in the public sector

Preparing Data for AI in Government

  • Data quality assurance and preprocessing techniques for government datasets
  • Differentiating between structured and unstructured data in government contexts
  • Ethical considerations and biases in government data
  • Methods for collecting and labeling data for government use

AI Ethics and Governance for Government

  • Ethical concerns in AI development within the public sector
  • Bias mitigation in AI models and algorithms used by government agencies
  • Regulatory frameworks and governance practices specific to AI in government
  • Ensuring accountability and transparency in government AI systems

AI Tools and Technologies for Government

  • An overview of popular AI frameworks suitable for government use
  • Introduction to government-specific AI platforms (e.g., Google AI, Microsoft Azure, IBM Watson)
  • Basics of automation and Robotic Process Automation (RPA) in government workflows

AI Risks, Security, and Challenges for Government

  • Security challenges unique to AI systems used by government agencies
  • Risks associated with over-reliance on AI in public sector operations
  • Socioeconomic impacts of AI adoption in government services
  • Monitoring and addressing performance issues in government AI models

BCS Exam Preparation and Practice for Government Professionals

  • Structure and format of the BCS exam relevant to government professionals
  • Sample questions and practice quizzes tailored for government candidates
  • Key areas to focus on for successful exam preparation in a government context
  • Final tips and strategies for government professionals preparing for the BCS exam

Summary and Next Steps for Government AI Initiatives

Requirements

  • No prerequisites required

Audience

  • Information technology professionals for government
  • Business analysts
  • Project managers
 7 Hours

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