Artificial Intelligence Skills for Office Work
Course ID: 260119 0101 870Proj
Course Dates : 19/01/2026 Course Duration : 5 Studying Day/s Course Location: London, United Kingdom
Language: Bilingual
Course Category: Professional and CPD Training Programs
Course Subcategories:
Business Decision Making Organisational Effectiveness Performance Management Professional Practice & Standards Strategic Management
Course Certified By: Projacs Academy & LondonUni - Executive Management Training
* Professional Training and CPD Programs
Leading to:
Executive Diploma Certificate
Leading to:
Executive Mini Masters Certificate
Leading to
Executive Masters Certificate
Certification Will Be Issued:
From London, United Kingdom
Course Fees:
VAT varies by course location and participant nationality.
Date has passed please contact us Sales@e-s-hub.com
Introduction
Office work increasingly uses accessible AI for writing, data tasks and simple automation. This course teaches practical skills to apply those tools in everyday tasks. Participants will learn how to save time, improve output quality and manage risks like errors and data exposure.
Objectives
1. Draft, edit and summarize emails, reports and presentations using targeted prompts and revision techniques.
2. Create reusable prompts and templates for recurring office tasks to improve consistency and speed.
3. Build simple automations that move AI outputs into workflows (for example, converting meeting notes into task lists) using common integration tools.
4. Assess AI outputs for accuracy, hallucination and bias; apply verification and basic fact-checking steps.
5. Apply practical data-handling, privacy and access-control practices when selecting and configuring AI tools for the office.
2. Create reusable prompts and templates for recurring office tasks to improve consistency and speed.
3. Build simple automations that move AI outputs into workflows (for example, converting meeting notes into task lists) using common integration tools.
4. Assess AI outputs for accuracy, hallucination and bias; apply verification and basic fact-checking steps.
5. Apply practical data-handling, privacy and access-control practices when selecting and configuring AI tools for the office.
Who Should Attend
1. Executive assistants
2. Project managers
3. HR managers
4. Marketing coordinators
5. Financial analysts
Training Method
• Pre-assessment
• Live group instruction
• Use of real-world examples, case studies and exercises
• Interactive participation and discussion
• Power point presentation, LCD and flip chart
• Group activities and tests
• Post-assessment
If Applicable:
• Each participant receives a 7” Tablet containing a copy of the presentation, slides and handouts
Program Support
This program is supported by:
* Interactive discussions
* Role-play
* Case studies and highlight the techniques available to the participants.
Course Agenda
Daily Schedule (Monday to Friday)
- 09:00 AM – 10:30 AM Technical Session 1
- 10:30 AM – 12:00 PM Technical Session 2
- 12:00 PM – 01:00 PM Technical Session 3
- 01:00 PM – 02:00 PM Lunch Break (If Applicable)
- Participants are expected to engage in guided self-study, reading, or personal reflection on the day’s content. This contributes toward the CPD accreditation and deepens conceptual understanding.
- 02:00 PM – 04:00 PM Self-Study & Reflection
Please Note:
- All training sessions are conducted from Monday to Friday, following the standard working week observed in the United Kingdom and European Union. Saturday and Sunday are official weekends and are not counted as part of the course duration.
- Coffee and refreshments are available on a floating basis throughout the morning. Participants may help themselves at their convenience to ensure an uninterrupted learning experience Provided if applicable and subject to course delivery arrangements.
- Lunch Provided if applicable and subject to course delivery arrangements.
Week 1
Day 1: Introduction to Generative AI for Office Tasks
Understanding generative AI capabilities and limitations
A. Exploring how large language models (LLMs) process and generate text
B. Identifying common hallucinations and the importance of human verification
C. Setting up secure, organization-approved AI accounts and environments
Fundamentals of prompt engineering
A. Structuring prompts with clear context, instructions, and desired output formats
B. Using iterative refinement to improve AI responses
C. Applying techniques like few-shot prompting to guide the AI’s style
AI for everyday writing and communication
A. Drafting, editing, and summarizing professional emails and memos
B. Adapting tone and style for different audiences (e.g., clients, executives, peers)
C. Translating and localizing content while preserving original meaning
Day 2: Content Creation and Document Automation
Accelerating report and presentation creation
A. Generating structured outlines and key talking points for reports
B. Creating slide deck content and suggesting visual layouts
C. Summarizing long documents into executive briefs and action items
Automating routine data entry and formatting
A. Using AI to extract structured data from unstructured text (e.g., invoices, emails)
B. Formatting messy data into clean tables or CSV formats
C. Generating formulas and macros for spreadsheet tasks based on natural language descriptions
Brainstorming and ideation support
A. Generating lists of ideas, alternatives, or solutions for team projects
B. Role-playing scenarios to prepare for difficult conversations or negotiations
C. Refining and expanding upon initial rough drafts or bullet points
Day 3: Data Analysis and Insight Generation
Interpreting data with AI assistance
A. Asking natural language questions to extract insights from datasets
B. Generating summaries of trends, anomalies, and key metrics
C. Creating basic data visualizations and chart descriptions
Enhancing research and information gathering
A. Using AI to quickly scan and synthesize industry reports or articles
B. Cross-referencing information to verify facts and identify contradictions
C. Organizing research findings into structured, easily digestible formats
Automating meeting workflows
A. Generating meeting agendas based on project goals and participant roles
B. Summarizing meeting transcripts into clear minutes and action items
C. Drafting follow-up emails and task assignments automatically
Day 4: Workflow Integration and Simple Automations
Connecting AI to everyday office tools
A. Using AI plugins and extensions within word processors and email clients
B. Integrating AI chatbots with team communication platforms (e.g., Slack, Teams)
C. Setting up automated triggers for routine AI-assisted tasks
Building reusable AI templates
A. Creating standardized prompt libraries for recurring office tasks
B. Sharing and collaborating on prompt templates across the team
C. Documenting best practices for template usage and modification
Managing AI output in workflows
A. Establishing review checkpoints before AI-generated content is finalized
B. Tracking time saved and quality improvements from AI integration
C. Troubleshooting common integration errors and connectivity issues
Day 5: AI Security, Privacy, and Quality Assurance
Protecting sensitive information
A. Identifying what data is safe to input into public vs. enterprise AI tools
B. Anonymizing or redacting confidential information before prompting
C. Understanding organizational data retention policies regarding AI interactions
Verifying accuracy and mitigating bias
A. Cross-checking AI-generated facts, figures, and citations against primary sources
B. Recognizing and correcting subtle biases in AI-generated language or recommendations
C. Implementing a peer-review process for critical AI-assisted outputs
Continuous improvement and skill building
A. Staying updated on new AI features, tools, and industry best practices
B. Sharing successful use cases and lessons learned with colleagues
C. Developing a personal action plan to deepen AI proficiency in specific job functions
