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Practical AI Learning Pathways for Workplace Performance and Decision Making
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Practical AI Learning Pathways for Workplace Performance and Decision Making

<p>This seminar, "Practical AI Learning Pathways for Workplace Performance and Decision Making," guides professionals through applied AI concepts that improve job performance and support better decisions. It focuses on practical skills, real-world use cases, and understanding when and how to apply AI tools responsibly within organizational workflows.</p><p>Participants will learn to evaluate AI tools, design simple workflows that integrate AI, and interpret model outputs critically. The session includes hands-on demonstrations, decision-making frameworks, and strategies for measuring business impact. No prior AI expertise is required; content is adaptable for mixed-skill groups.</p><p>Key topics include AI tool selection criteria, basic prompt design and evaluation, data privacy and ethical considerations, change-management approaches for AI adoption, and metrics for assessing AI-driven improvements. The seminar emphasizes actionable takeaways that attendees can pilot immediately in their teams.</p>

BBashir Ahmad
Nov 11
06:15 AM
0 registered

About this seminar

This seminar, "Practical AI Learning Pathways for Workplace Performance and Decision Making," guides professionals through applied AI concepts that improve job performance and support better decisions. It focuses on practical skills, real-world use cases, and understanding when and how to apply AI tools responsibly within organizational workflows.

Participants will learn to evaluate AI tools, design simple workflows that integrate AI, and interpret model outputs critically. The session includes hands-on demonstrations, decision-making frameworks, and strategies for measuring business impact. No prior AI expertise is required; content is adaptable for mixed-skill groups.

Key topics include AI tool selection criteria, basic prompt design and evaluation, data privacy and ethical considerations, change-management approaches for AI adoption, and metrics for assessing AI-driven improvements. The seminar emphasizes actionable takeaways that attendees can pilot immediately in their teams.

Agenda

09:00–09:45

Introduction to Practical AI for Professionals

Overview of AI capabilities and limitations, realistic workplace applications, and how to assess opportunities for AI-driven improvement within your team or process.

09:45–10:30

Selecting and Evaluating AI Tools

Criteria for choosing AI tools (accuracy, cost, integration, vendor risk), hands-on checklist, and short demonstrations comparing typical tool types.

10:45–11:30

Designing Workflows and Prompting for Results

Building simple AI-integrated workflows, prompt-design principles, validation of outputs, and examples of role-specific prompts and templates.

11:30–12:15

Ethics, Data Privacy, and Measuring Impact

Practical guidance on responsible AI use, basic data privacy controls, change-management strategies, and metrics to track performance and ROI of AI pilots.