IITU
Leveraging AI Tools for Enhanced Office Productivity


Course Instructor: Ali Abd Almisreb

Course Duration:

8 Weeks (1 session per week, 1.5 hours each)


Module 1: Introduction to AI and Generative AI (GenAI)

  • Overview of AI and GenAI: Understanding the basics and potential of AI in the workplace.
  • Types of AI Tools: Introduction to different AI tools available for office tasks.

Module 2: Summarizing Large Reports

  • Understanding Summarization: How AI can condense large documents into key points.
  • Practical Tools: Using tools like Microsoft Copilot, ChatGPT, and others for summarization.
  • Hands-On Activity: Summarize a sample report using an AI tool.

Module 3: Writing Reports and Annual Reports

  • AI in Report Writing: How AI can assist in drafting and structuring reports.
  • Tool Demonstrations: Using AI tools to generate content, format, and edit reports.
  • Hands-On Activity: Create a section of an annual report with AI assistance.

Module 4: Email Communication

  • AI for Email Writing: Crafting professional emails with AI.
  • Customer Communication: Personalizing emails for customer interactions.
  • Hands-On Activity: Write and refine emails using AI tools.

Module 5: Organizing Data and Tables

  • Data Management: How AI can help in organizing and analyzing data.
  • Tool Demonstrations: Using AI to create and manage tables in Excel or other spreadsheet software.
  • Hands-On Activity: Organize a dataset using AI tools.

Module 6: Chat with Documents

  • Document Interaction: Using AI to interact with and extract information from documents.
  • Practical Applications: Examples of how to use AI for document queries and information retrieval.
  • Hands-On Activity: Practice querying a document using an AI tool.

Module 7: Other Office Tasks

  • Scheduling and Planning: Using AI for calendar management and task planning.
  • Meeting Assistance: AI tools for transcribing and summarizing meetings.
  • Hands-On Activity: Use AI to plan a week’s schedule and summarize a meeting.

Module 8: Ethical Considerations and Best Practices

  • Ethical Use of AI: Understanding the ethical implications of using AI in the workplace.
  • Best Practices: Tips for effectively integrating AI tools into daily workflows.
  • Discussion: Open forum to discuss experiences and insights.

Conclusion and Certification

  • Review and Q&A: Recap of key learnings and open Q&A session.
  • Certification: Completion certificate for participants.

Course Objectives

  1. Understand AI Fundamentals: Provide a foundational understanding of AI and Generative AI (GenAI) and their applications in office environments.
  2. Enhance Productivity: Equip participants with the skills to use AI tools to streamline and enhance various office tasks.
  3. Practical Application: Offer hands-on experience with AI tools for summarizing reports, writing emails, organizing data, and more.
  4. Ethical Use: Promote awareness of the ethical considerations and best practices when using AI in the workplace.
  5. Foster Innovation: Encourage innovative thinking and problem-solving using AI technologies.

Learning Outcomes

  1. Explain AI Concepts: Understand and articulate the basic concepts and potential of AI and GenAI in office settings.
  2. Summarize Reports: Use AI tools to effectively summarize large documents and reports.
  3. Draft Reports: Leverage AI to assist in writing and structuring various types of reports, including annual reports.
  4. Compose Emails: Utilize AI to craft professional and personalized emails for customer communication and internal use.
  5. Organize Data: Apply AI tools to organize, analyze, and manage data in spreadsheets and other formats.
  6. Interact with Documents: Use AI to query and extract information from documents efficiently.
  7. Manage Tasks: Implement AI solutions for scheduling, planning, and managing office tasks.
  8. Ethical Awareness: Recognize and apply ethical considerations and best practices in the use of AI tools.
  9. Innovate with AI: Develop innovative approaches to solving office productivity challenges using AI technologies.
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