AI Strategies Series for Improving Workplace Performance
Formats⟩Live Virtual: 4 hrs./day, 4 Days |In-Person: 6 hrs./day, 4 Days
AI Strategies Series for Improving Workplace Performance equips participants with knowledge and practical strategies to effectively leverage AI in today’s work environment. Participants will explore the evolving AI landscape, learn how to apply GenAI tools to real-world tasks, and understand how to structure AI use for measurable results. The course emphasizes human-AI collaboration, decision-making frameworks, and responsible AI practices, particularly within government and organizational contexts. By the end, participants will be able to integrate AI into their workflows to enhance productivity, support decision-making, and drive better outcomes.
Learning Objectives »
Explain the AI landscape and identify workplace applications.
Apply structured approaches to generate ROI from AI.
Leverage human-AI collaboration to improve productivity.
Use AI to support decision-making.
Apply responsible AI practices for risk, bias, and governance.
Course Agenda
GenAI Strategies for Workplace Performance
Understanding the GenAI Landscape
GenAI Tools in Action
Getting ROI from AI with Structure
GenAI in the Workplace
Soft Skills for the Future of AI
Human and AI Collaborative Intelligence
The Principles of HI-AI Collaboration
Human-AI Synergy
Principles of Effective Collaboration
The Importance of Human-Centered AI
Strategies, Solutions and Upcoming
AI for Decision-Making in the Workplace
The Future of Decision-Making
Decision Frameworks That Work with AI
Defensible, Transparent, Audit-Ready
Generative AI for Decision Support
Risk, Bias, and Responsible Decisions
Governance and Oversight
Human + AI Decision Leadership
AI Strategies Series for Improving Workplace Performance
Formats⟩Live Virtual: 4 hrs./day, 4 Days |In-Person: 6 hrs./day, 4 Days
AI Strategies Series for Improving Workplace Performance equips participants with knowledge and practical strategies to effectively leverage AI in today’s work environment. Participants will explore the evolving AI landscape, learn how to apply GenAI tools to real-world tasks, and understand how to structure AI use for measurable results. The course emphasizes human-AI collaboration, decision-making frameworks, and responsible AI practices, particularly within government and organizational contexts. By the end, participants will be able to integrate AI into their workflows to enhance productivity, support decision-making, and drive better outcomes.
Learning Objectives »
Explain the AI landscape and identify workplace applications.
Apply structured approaches to generate ROI from AI.
Leverage human-AI collaboration to improve productivity.
Use AI to support decision-making.
Apply responsible AI practices for risk, bias, and governance.
Course Agenda
GenAI Strategies for Workplace Performance
Understanding the GenAI Landscape
GenAI Tools in Action
Getting ROI from AI with Structure
GenAI in the Workplace
Soft Skills for the Future of AI
Human and AI Collaborative Intelligence
The Principles of HI-AI Collaboration
Human-AI Synergy
Principles of Effective Collaboration
The Importance of Human-Centered AI
Strategies, Solutions and Upcoming
AI for Decision-Making in the Workplace
The Future of Decision-Making
Decision Frameworks That Work with AI
Defensible, Transparent, Audit-Ready
Generative AI for Decision Support
Risk, Bias, and Responsible Decisions
Governance and Oversight
Human + AI Decision Leadership
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