Applied AI in the Workplace: Copilot & Smart Workflows
Featured EventApplied AI in the Workplace: Copilot & Smart Workflows
Event Date07 May, 2026 - 07 May, 2026- Event Time12:30 PM- 04:30 PM( Asia/Dubai )
Event Summary
Artificial Intelligence is rapidly becoming a core part of everyday work-but many professionals still struggle to translate its potential into real productivity gains. From unclear use cases and ineffective prompting to concerns around data security, the gap between access and actual value remains significant.
This practical masterclass is designed to bridge that gap by combining foundational understanding with hands-on application. It provides a clear introduction to AI and Generative AI, followed by guided exposure to real workplace scenarios using Microsoft 365 Copilot.
Participants will explore how to apply AI across common business tasks-communication, data analysis, research, and workflow automation-while also gaining clarity on responsible usage, including ethical considerations, data privacy, and security boundaries.
Through practical demonstrations, real-world use cases, and actionable guidance, this session enables professionals to confidently integrate AI into their daily workflows, improve efficiency, and make more informed decisions with AI support.
Key Takeaways:
• Confident use of AI across everyday work tasks
• Practical prompting techniques for better results
• Effective use of Microsoft 365 Copilot in daily workflows
• Faster, insight-driven decision-making with AI tools
• Clear understanding of data privacy, security, and ethical boundaries
Agenda
1. Introduction to AI & Types of AI
– Overview of Artificial Intelligence and Generative AI
– Relevance for workplace productivity
2. Prompt Engineering & Best Practices
– Techniques to improve AI output quality
– Common mistakes to avoid
3. Copilot in Action
– Hands-on use of Microsoft 365 Copilot
– Applications across Teams, Outlook, and Excel
– Real workplace scenarios
4. AI Use Cases & Practical Applications
– Document analysis and summarization
– Research structuring and insights generation
– Workflow integration
5. Ethics, Data Privacy & Security
– Understanding bias and transparency
– Handling sensitive information responsibly
6. Closing: Action Planning & Q&A
– Defining next steps for AI adoption
– Open discussion and expert guidance
More About Trainer
Experienced AI Engineer and Trainer in AI, Robotics, and Computer Vision, with a strong focus on designing, training, and deploying ML and DL models and web applications. Actively involved in mentoring through both research and instructional roles, consistently driving innovation and delivering impactful solutions.
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