AI FOR WORK & BUSINESS

Duration: 3 Days

Level: Beginner

Format: Practical, hands-on training

Course Overview

AI is changing how professionals and businesses work. This practical programme teaches participants how to use leading AI tools to research, write, analyse, create, communicate, automate routine tasks and make better business decisions.

Rather than focusing only on prompting, participants will learn how to integrate AI into their actual workflow across marketing, sales, HR, customer service, administration and business operations.

Course Objective

By the end of the course, participants will be able to:

1. Use leading AI tools confidently
2. Write effective prompts and build reusable prompt systems
3. Research and verify information with AI
4. Create professional documents and presentations
5. Analyse data and extract useful insights
6. Use AI for marketing, sales, HR and customer service
7. Identify tasks that can be improved or automated with AI
8. Build a practical AI-powered personal or business workflow
9. Apply responsible and secure AI practices at work

DAY 1 — UNDERSTANDING AI & MASTERING AI TOOLS

Module 1: AI Fundamentals for Professionals

1. What is Artificial Intelligence?
2. AI vs Generative AI
3. Large Language Models explained
4. AI assistants and AI agents
5. How AI generates responses
6. What AI can and cannot do
7. AI hallucinations and misinformation
8. AI bias and limitations
9. AI ethics and responsible use
10. Privacy and confidential business information
11. The future of AI at work

Practical: Identify 10 tasks in your current work that could potentially be improved with AI.

Module 2: The AI Tool Ecosystem

General AI Assistants

1. ChatGPT
2. Gemini
3. Claude
4. Microsoft Copilot

AI Research & Search

1. Perplexity
2. AI-powered search
3. Source verification

AI for Work & Productivity

1. AI-powered documents
2. AI presentations
3. AI meeting assistants
4. AI note-taking

Choosing the Right AI Tool

1. Which tool should you use?
2. Comparing strengths and weaknesses
3. Free vs paid AI tools
4. Combining multiple AI tools

Practical: Complete an AI tool comparison exercise and select the best tool for different workplace tasks.

Module 3: Prompt Engineering for Better Results

1. What makes a good prompt?
2. The anatomy of an effective prompt
3. Role
4. Context
5. Task
6. Instructions
7. Constraints
8. Examples
9. Desired output
10. Tone and audience
11. Prompt iteration
12. Follow-up prompts
13. Asking AI to critique and improve its own output

Advanced Beginner Techniques

1. Chain-of-thought alternatives for structured reasoning
2. Few-shot prompting
3. Prompt templates
4. Reusable prompts
5. Prompt libraries
6. Creating custom AI instructions

Practical: Transform poor prompts into professional prompts and create a personal prompt library.

DAY 2 — AI FOR EVERYDAY WORK

Module 4: AI for Writing & Communication

Use AI to create and improve:

1. Emails
2. Reports
3. Proposals
4. Business letters
5. Meeting agendas
6. Meeting minutes
7. Memos
8. Job descriptions
9. Policies
10. Customer responses
11. Social media content
12. Marketing copy

Quality Control

1. Editing AI-generated content
2. Maintaining your own voice
3. Avoiding generic AI writing
4. Fact-checking
5. Professional tone

Practical: Create a complete professional communication pack using AI.

Module 5: AI for Documents & Presentations

1. Turning ideas into structured documents
2. Summarising long documents
3. Extracting key information
4. Creating reports
5. Creating presentation structures
6. Generating presentation content
7. Turning documents into presentations
8. Creating speaker notes
9. Improving presentations with AI

Practical: Turn a business brief into a professional presentation and supporting document.

Module 6: AI for Research & Information

1. Using AI for research
2. Research questions
3. Finding relevant information
4. Web research
5. Comparing sources
6. Summarising research
7. Extracting insights
8. Identifying trends
9. Competitor research
10. Market research
11. Customer research

Research Verification

1. Checking AI-generated claims
2. Identifying unreliable sources
3. Cross-checking information
4. Primary vs secondary sources
5. Avoiding AI-generated misinformation

Practical: Conduct an AI-assisted market or competitor research project.

Module 7: AI for Data & Analysis

1. Working with spreadsheets and datasets
2. Cleaning data with AI
3. Identifying patterns
4. Summarising data
5. Generating formulas
6. Analysing survey results
7. Creating charts and visualisations
8. Interpreting business metrics
9. Turning data into insights
10. AI-assisted decision-making

Practical: Analyse a sample business dataset and produce actionable recommendations.

DAY 3 — AI FOR BUSINESS & BUILDING YOUR AI WORKFLOW

Module 8: AI for Marketing & Sales

Marketing

1. Content strategy
2. Customer personas
3. Campaign ideas
4. Social media
5. SEO
6. Email marketing
7. Advertising
8. Competitor analysis

Sales

1. Lead research
2. Prospecting
3. Sales emails
4. Proposal writing
5. Sales scripts
6. Objection handling
7. Customer segmentation
8. Follow-up sequences

Practical: Build an AI-assisted marketing and sales campaign.

Module 9: AI for HR & People Management

1. Job descriptions
2. Recruitment support
3. CV screening assistance
4. Interview questions
5. Employee communication
6. Training materials
7. Performance review support
8. HR policy drafting
9. Employee engagement ideas

Responsible AI in HR

1. Bias
2. Privacy
3. Human oversight
4. Appropriate use of AI in recruitment and employee decisions

Practical: Create an AI-assisted recruitment or employee-training workflow.

Module 10: AI for Customer Service

1. Customer enquiry responses
2. FAQ development
3. Complaint handling
4. Customer sentiment
5. Response templates
6. Knowledge bases
7. Customer personalisation
8. Chatbot fundamentals
9. AI-assisted support

Practical: Build an AI-powered customer service response system.

Module 11: AI for Business Operations

1. Administrative automation
2. Task management
3. Meeting management
4. Workflow design
5. SOP creation
6. Process documentation
7. Business reporting
8. Internal communication
9. Productivity systems

Identifying AI Opportunities

1. Repetitive tasks
2. Time-consuming tasks
3. High-volume tasks
4. Information-heavy tasks
5. Tasks requiring human judgement

Practical: Map a real business process and identify where AI can improve it.