Practical AI Skills for Administrative Assistants Training Course
1Summary
The average administrative assistant loses hours every week to work that adds no real value - rescheduling meetings, retyping the same email, chasing a document buried three folders deep. None of that requires a technical background to fix. It requires knowing which AI tool solves which problem, and how to set it up without breaking the workflow that already exists.
This Practical AI Skills for Administrative Assistants training course, delivered by Arab British Fellowship Training Academy, focuses entirely on hands-on application: scheduling, writing, document handling, data entry, and client communication. Participants leave with a working toolkit they can apply the same week, not a theoretical overview of what AI might someday do for administrative work.
2Objectives and target group
By the end of this course, participants will be able to:
- Identify which recurring administrative tasks are worth automating, and which AI tools fit each one.
- Use AI to manage email, calendars, and meeting scheduling without technical setup.
- Draft, summarise, and translate documents and correspondence more efficiently using AI writing tools.
- Apply AI features in spreadsheets, cloud storage, and document archiving to reduce manual work.
- Manage the data-security, privacy, and reliability risks that come with administrative automation.
Target Audience
- Administrative assistants and executive secretaries seeking to optimize workflow.
- Office coordinators and administrative professionals supporting multiple departments.
- Personal assistants and virtual assistants handling high volumes of routine tasks.
- Administrative staff looking to adopt AI without a technical background.
3Course Content
Module 1: The Repetitive Work Costing You the Most Time
- Task repetition and its real impact on productivity.
- Time pressure and where digital transformation helps most in administrative roles.
Module 2: AI Fundamentals Every Assistant Actually Needs
- What AI is, and the difference between automation and AI.
- Global trends in AI use for administrative work.
Module 3: Taming the Inbox and Calendar
- Scheduling emails, automatic replies, and smart categorisation.
- Integrating AI with Outlook and Gmail.
- Automatic meeting scheduling, reminders, and intelligent event organisation.
Module 4: Writing, Summarising and Making Sense of Documents
- Generating professional messages and polishing writing.
- Preparing concise, data-based reports.
- Extracting key ideas from long documents and correspondence.
Module 5: From Spreadsheets to Smart Decisions
- Data forecasting, smart entry, and automatic formulas.
- Visual data analysis and simplified presentation of results.
- Supporting management decisions and reducing manual analysis work.
Module 6: Turning Paper and Files into a Searchable Digital System
- Automatic file classification and intelligent search.
- Optical Character Recognition (OCR): extracting data from images and scanned documents.
- Automating backups and data protection.
Module 7: Working Across Languages and Automating Client Communication
- Instant translation and handling multilingual correspondence.
- Generating multilingual content and coordinating international teams.
- Automated response rules, categorising customer inquiries, and a shared knowledge base.
Module 8: Planning, Collaborating and Working in the Cloud
- Prioritising tasks with AI and linking calendars to task lists.
- Time-usage reports and reducing wasted hours.
- Cloud storage, synchronisation, and real-time team collaboration.
Module 9: Managing Risk and Measuring What AI Is Actually Worth
- Ethical, privacy, and legal risks in administrative automation.
- Managing access, encryption, and tool reliability.
- Measuring impact against traditional methods and sustaining AI integration over time.