Course Details

This course is appropriate for a wide range of professionals but not limited to:

• Government Executives
• Policy Makers
• Digital Transformation Managers
• Public Sector Project Managers
• Government IT Managers
• Innovation and Strategy Officers

• Expert-led sessions with dynamic visual aids
• Comprehensive course manual to support practical application and reinforcement
• Interactive discussions addressing participants’ real-world projects and challenges
• Insightful case studies and proven best practices to enhance learning

By the end of this course, participants should be able to:

• Understand the fundamentals of Generative AI and large language models.
• Identify high-value government use cases for AI adoption.
• Apply prompt engineering techniques to improve AI-generated outputs.
• Develop AI-assisted workflows for public service delivery and administration.
• Evaluate risks related to privacy, security, bias, and compliance.
• Design an implementation roadmap for responsible AI deployment in government agencies.

DAY 1

Foundations of Generative AI for Government

• Introduction to Artificial Intelligence and Generative AI
• Evolution of Large Language Models
• Government AI Adoption Trends
• Understanding AI Capabilities and Limitations
• Public Sector Use Cases and Success Stories
• AI Readiness Assessment for Government Organizations

DAY 2

Prompt Engineering and Government Applications

• Principles of Effective Prompting
• Structured Prompt Design Techniques
• AI-Assisted Policy and Report Drafting
• Content Generation for Public Communications
• Research, Analysis, and Knowledge Management
• Hands-On Prompt Engineering Workshops

DAY 3

Service Delivery and Operational Transformation

• AI-Powered Citizen Services
• Government Chatbots and Virtual Assistants
• Document Processing and Automation
• Case Management Enhancement
• Knowledge Retrieval and Decision Support
• Building AI-Augmented Public Service Workflows

DAY 4

Governance, Ethics, Security and Compliance

• Responsible AI Principles
• AI Ethics in Public Administration
• Data Protection and Privacy Requirements
• Managing Bias and Hallucinations
• Regulatory and Governance Frameworks
• Risk Assessment and Control Mechanisms

DAY 5

Implementation Strategy and Future Government AI

• Developing Government AI Roadmaps
• Procurement and Vendor Evaluation
• Change Management and Workforce Readiness
• Measuring AI Program Success
• Emerging Trends in Generative AI
• Capstone Exercise: Designing a Government AI Initiative