Course Overview
This course offers a comprehensive exploration of how Artificial Intelligence (AI) can be leveraged as an effective office assistant to enhance daily efficiency. It begins with foundational knowledge, providing insights into the definition and history of AI, and distinguishing it from related fields like Machine Learning and Deep Learning. Participants will gain an understanding of key terminology such as algorithms, models, and data sets, while also exploring the different learning paradigms within AI, including supervised and unsupervised learning.
The course progresses to practical applications, introducing participants to various AI tools designed for everyday tasks. Through hands-on exercises, learners will engage with ChatGPT for drafting emails, summarizing documents, and even tutoring. The curriculum further delves into productivity enhancement through AI-powered scheduling tools like Motion and ChatGPT Tasks, offering strategies for integrating these technologies into existing workflows.
In addition to task management, the course covers data analysis techniques using AI, where participants will learn to analyze Excel data and visualize insights effectively. Document management is another focus area, highlighting challenges in traditional systems and demonstrating how AI can streamline organization and retrieval processes using tools like M-Files.
Finally, ethical considerations are addressed to ensure responsible use of AI in professional settings. Participants will explore data privacy issues, ethical implications of AI deployment in workplaces, and best practices for maintaining transparency and accountability. By the end of this course, learners will be equipped with both theoretical knowledge and practical skills to harness AI’s potential in optimizing office operations.
Course Objective
At course completion, participants should be able to:
- Differentiate between AI, Machine Learning, and Deep Learning through real-world examples.
- Explore ethical considerations and best practices for responsible AI usage in the workplace.
- Understand the fundamental concepts of Artificial Intelligence and its historical context.
- Enhance productivity by integrating AI-powered scheduling and task management solutions.
- Gain proficiency in using AI tools like ChatGPT for everyday office tasks.
- Develop skills in analyzing data using AI technologies for better decision-making.
Course Duration
This course runs for 2 days.
Methodology
- Lecture
- Slides
- Case Studies
- Labs
- Q&A
Course Outline
- Definition and history of Artificial Intelligence
- Difference between AI, Machine Learning, and Deep Learning
- Real-world examples of AI applications
- Key terminology: algorithms, models, data sets
- How AI learns: supervised vs. unsupervised learning
- Limitations and challenges of AI
- Introduction to ChatGPT: capabilities and use cases
- Introduction to Claude: capabilities and use cases
- Introduction to Open-Source Models: Deepseek and Llama
- Prompt Engineering Basics: CRAFT, Few Shot, and Chain of Thought
- Hands-on exercise: drafting emails using ChatGPT
- Hands-on exercise: summarizing lengthy documents using ChatGPT
- Hands-on exercise: AI tutoring using ChatGPT
- AI-powered scheduling: tools and benefits
- Introduction to Motion and ChatGPT Tasks for task management
- Setting up AI reminders and notifications
- Hands-on exercise: scheduling meetings using Motion and ChatGPT Tasks
- Prioritizing tasks with AI recommendations
- Integrating AI tools into existing workflows
- Introduction to AI Agents
- Hands-on exercise: Working with ChatGPT Operator
- Hands-on exercise: Working with Claude Computer Use
- Introduction to AI in data analysis
- Hands-on exercise: Using ChatGPT to analyze excel data
- Hands-on exercise: Using ChatGPT to chart and visualize data insights
- Challenges in traditional document management
- Introduction to M-Files: features and benefits
- AI’s role in organizing and retrieving documents
- Hands-on exercise: uploading and organizing documents in M-Files
- Using AI to search and retrieve information efficiently
- Maintaining document security with AI tools
- Project Management
- Inbox Management
- Team Communication
- Hands-on exercise: Working with Make.com
- Sales/CRM
- Social media
- Form Builders/Surveys
- Hands-on exercise: Working with n8n
- Understanding data privacy in AI applications
- Ethical implications of AI in the workplace
- Case studies of AI misuse and lessons learned
- Establishing guidelines for responsible AI usage
- Promoting transparency and accountability in AI applications
- AI ethical frameworks
Itinerary
Time | Day 1: Description |
08:30 AM – 09:00 AM | Participants attendance |
09:00 AM – 10:30 AM | Module 1: Understanding AI Basics (Part 1) Module 2: Understanding AI Basics (Part 2) |
10:30 AM – 10:45 AM | Morning Tea Break |
10:45 PM – 12:30 PM | Module 3: AI Tools for Daily Tasks (Part 1) Recap and Q&A |
12:30 PM – 01:30 PM | Lunch Break |
01:30 PM – 03:30 PM | Module 4: AI Tools for Daily Tasks (Part 2) Module 5: Enhancing Productivity with AI (Part 1) |
03:30 PM – 03:45 PM | Afternoon Tea Break |
03:45 PM – 05:00 PM | Module 6: Enhancing Productivity with AI (Part 2) Module 7: Enhancing Productivity with AI (Part 3) Recap and Q&A |
05:00 PM | Class Ends |
Time | Day 2: Description |
08:30 AM – 09:00 AM | Participants attendance |
09:00 AM – 10:30 AM | Module 8: Data Analysis Made Easy Module 9: AI in Document Management (Part 1) |
10:30 AM – 10:45 AM | Morning Tea Break |
10:45 PM – 12:30 PM | Module 10: AI in Document Management (Part 2) Recap and Q&A |
12:30 PM – 01:30 PM | Lunch Break |
01:30 PM – 03:30 PM | Module 11: Workflow Automation (Part 1) Module 12: Workflow Automation (Part 2) |
03:30 PM – 03:45 PM | Afternoon Tea Break |
03:45 PM – 05:00 PM | Module 13: Ethical Considerations and Best Practices (Part 1) Module 14: Ethical Considerations and Best Practices (Part 2) Recap and Q&A |
05:00 PM | Class Ends |
