The Role of AI in the Modern Workplace
o Overview of AI and productivity
o Benefits and risks of AI adoption
o Ethics and responsible AI use
Essential AI Tools for Productivity
o Overview of popular AI-powered tools (ChatGPT, Notion AI, Grammarly, etc.)
o Use cases in document drafting, data analysis, project planning
o Tips for selecting the right tool for your workflow
Introduction to Microsoft 365 Copilot
o What is Microsoft Copilot and how it works
o Copilot across the Microsoft ecosystem: Word, Excel, PowerPoint, Outlook, and Teams
o Security, compliance, and data governance considerations
Microsoft Teams with Copilot
o AI-powered meeting summaries
o Auto-generated tasks and action points
o Enhancing team collaboration and communication
Automating Workflows with Power Automate & AI Builder
o Building simple automated workflows
o Using AI models to enhance form processing, approvals, and notifications
AI Security, Data Privacy & Compliance in Microsoft 365
o Understanding Microsoft’s compliance features
o Managing user access and data governance
o Mitigating risks of AI misuse
Challenges, Risks & the Future of AI in the Workplace
o Data privacy and security concerns
o Change management and user adoption
o Preparing for future AI tools and trends
Change Management for AI Adoption
o Leading teams through AI integration
o Overcoming resistance to new technology
o Aligning AI tools with organizational culture and policies
Measuring ROI and Productivity Gains from AI Tools
o Setting KPIs for AI-driven productivity
o Tracking and reporting performance improvements
o Evaluating long-term benefits and optimization opportunities
Hands-On Training: Copilot in Action
o Word: Drafting reports, summarizing documents, rephrasing
o Excel: Analyzing data, creating dashboards, predictive insights
o Outlook: Writing emails, summarizing threads, scheduling follow-ups
o PowerPoint: Creating presentations, generating design ideas
o Teams: Summarizing meetings, drafting action points
Real-World Applications and Workflow Automation
o Creating AI-enhanced productivity routines
o Automating daily tasks and repetitive actions
o Case studies: AI success stories in business