Overview of Microsoft Office

• Introduction to Microsoft Office suite: Word, Excel, PowerPoint, Outlook.
• Basic functionalities and features of each application.

• What is AI? Overview of AI and machine learning concepts.
• Examples of AI applications in everyday life and business.

• Overview of AI tools available in Microsoft Office (e.g., Microsoft Copilot, AI-based features in Word, Excel, etc.).
• How AI enhances productivity and creativity.

• Exploring AI-driven writing assistance: grammar checking, style suggestions, and summarization.
• Practice: Use AI tools to improve and summarize a given document.

• Introduction to AI-powered data analysis tools: data insights, automatic data visualization, and formula suggestions.
• Practice: Use AI features to analyze and visualize a dataset.

• AI tools for content generation, translation, and writing enhancement.
• Practice: Generate content and translate text using AI tools in Word.

• Advanced data analysis: Predictive analytics, data trends, and insights.
• Practice: Apply predictive analytics and trend analysis to datasets.

• Creating presentations with AI assistance: design ideas, content suggestions, and automated formatting.
• Practice: Create a presentation using AI tools to enhance design and content.

• Introduction to automation tools like Power Automate.
• Practice: Create a basic automated workflow between Office applications.

• Group activity: Use AI tools across Word, Excel, and PowerPoint to complete a project.
• Presentation of projects and discussion.

• AI features in Outlook: Smart replies, scheduling assistant, and email categorization.
• Practice: Use AI tools to manage and organize emails.

• Overview of AI integration in Office 365 (e.g., Teams, OneDrive).
• Practice: Use AI tools within Teams and OneDrive for collaboration and file management.

• Introduction to Microsoft Copilot: capabilities and applications.
• Practice: Use Copilot in Word, Excel, and PowerPoint to assist with tasks.

• Assignment & Class Test
• Problem Solve

• Customizing AI settings and preferences in Office applications.
• Practice: Adjust AI tool settings to better suit personal or project needs.

• Review case studies of AI in productivity applications.
• Discuss real-world applications and potential future developments.

• Plan a comprehensive project that utilizes AI tools in Office applications.
• Research and outline project objectives and requirements.

• Work on the project, incorporating AI tools to enhance productivity and output.
• Provide guidance and support as needed.

• Finalize the project and make necessary adjustments.
• Peer review and feedback sessions.

• Present the final projects to the class.
• Demonstrate how AI tools were used and discuss the impact on productivity.

• Review key concepts and tools learned throughout the course.
• Reflect on the benefits of AI in Microsoft Office applications and discuss potential future uses.

• Security and Privacy Considerations for AI Tools in Office.
• Exploring Future AI Trends in Microsoft Office.

• Hands-On Project: Advanced Data Visualization with AI.
• Final Touches on Extended Projects.

• Final Project & Certificate