Artificial Intelligence End User Training Services

The vendor required to provide artificial intelligence (AI) end-user training currently in the marketplace for agency employees.
- Employee-focused learning:
•    Comprehensive AI tool courses
o    Beginner, intermediate, and advanced levels for selected gen AI tools (e.g., copilot).
o    Delivery formats: in-person and virtual.
o    Focus: tool functionality, use cases, and practical application.
•    Facilitated training sessions
o    Hands-on sessions (virtual and in-person) to build confidence in using gen AI tools.
o    Embedded skills: problem-solving, adaptability, and data literacy.
•    AI tools for project management
o    Training on using gen AI for scheduling, resource allocation, and data analysis.
o    Goal: streamline workflows and improve project efficiency.
•    Advanced AI functionality training
o    Intensive, hands-on course on advanced gen AI capabilities.
o    Topics: task automation, workflow integration, prompt engineering, productivity optimization.
•    AI literacy and critical thinking
o    AI literacy foundations: how gen AI works, fostering critical thinking.
•    AI for research and knowledge management
o    Gen AI for information retrieval: courses on using AI tools to summarize documents, extract insights, and support evidence-based decision making.
•    AI for communication and writing
o    Training on using gen AI for drafting emails, reports, briefing notes, and plain language communication.
o    Focus on tone, clarity, and accessibility.
•    Micro-learning opportunities
o    Short and focused modules on any of the above topics (or alternative topics) on specific features or use cases for this audience.
- Manager-focused learning:
•    Expert-led leadership workshops
o    Sessions to help managers support gen AI adoption within teams.
o    Topics: change management, tool integration, balancing technical and soft skills.
•    AI and data-driven decision-making
o    Training to identify and implement data-driven solutions.
o    Role development: “data and AI champions” aligned with organizational goals.
•    Team readiness and AI adoption
o    Guidance for assessing team readiness and tailoring learning resources.
o    Support for sustained improvement and innovation through gen AI adoption.
•    AI ethics and public sector responsibility
o    Training modules or workshops that explore ethical considerations, bias mitigation, transparency, and responsible AI use in public service contexts
•    AI strategy and governance for leaders
o    Sessions focused on strategic planning, risk management, ad governance frameworks for AI integration in public sector organizations.
o    Short and focused modules on any of the above topics (or alternative topics) on specific features or use cases for this audience.

- Questions/Inquires Deadline: December 9, 2025