Requirements
- Basic computer and internet skills.
- No previous AI or Programming experience is required.
Features
- Master Prompts for Business
- Build AI-Assisted Business Workflows
- Research and Analyse Information
- Generate Audio and Images with Prompts
- Master ChatGPT, CoPilot & Gemini
Target audiences
- Business Managers and Executives
- Project Managers
- HR and Recruitment Professionals
- Marketing and Sales Professionals
- Accounts and Finance Professionals
Great AI learning experience. I mastered prompts and different tools for my business.
AI Business Productivity: Foundation and Practitioner
Master AI Tools to Work Smarter, Faster and More Effectively
The AI Business Productivity Course helps delegates develop practical Artificial Intelligence skills more effectively for prompting, content creation, research, and productivity-focused workflows.
Learn how to use AI Models to create AI automations, AI agents, professional documents, write emails, prepare reports, analyse information and improve workplace productivity.

What You Will Learn
By completing this course, you will be able to:
- Understand Artificial Intelligence and its applications in the modern workplace.
- Identify suitable AI tools for different professional tasks.
- Use ChatGPT to create, improve and review professional content.
- Use Google Gemini for research, information processing and productivity.
- Write effective prompts and instructions for business activities.
- Analyse business information and work with spreadsheets using AI assistance.
- Generate ideas and support research and decision-making.
- Create AI-assisted workflows.
- Apply responsible AI practices, including data privacy and human oversight.
Stage 1: AI Business Productivity – Foundation
Understand AI and Develop Essential Workplace Productivity Skills
You will develop skills in:
- Understanding AI and Generative AI.
- Exploring ChatGPT, Google Gemini and Microsoft Copilot.
- Writing effective prompts and instructions.
- AI-assisted writing and professional communication.
- Document summarisation and information extraction.
- Research and information analysis.
- Creating reports and presentations.
- Responsible and effective use of AI tools.
Stage 2: AI Business Productivity – Practitioner
Apply AI to Real Business Tasks and Automate Workflows
You will develop skills in:
- Advanced workplace applications of AI.
- AI-assisted business reporting and analysis.
- Working with documents and business information.
- Use Leanardo AI, ElevenLabs and HeyGen
- Creating reusable AI agents and workflows.
- Automating repetitive business activities with N8N and LangFlow.
- Testing and improving AI-powered workflows.
- Identifying opportunities for workplace automation.
Why Learn AI Business Productivity with OCTM?
Our AI Business Productivity course combines essential knowledge, demonstrations and hands-on exercises to help participants understand AI tools and apply them to everyday business tasks.
What makes this course valuable:
- Foundation to Practitioner: Progress from understanding AI to applying it in practical business scenarios.
- Practical Learning: Work with real-world tasks and business examples.
- Multiple AI Platforms: Explore ChatGPT, Google Gemini, Copilot, ElevenLabs, Leanardo AI and N8N.
- Non-Technical Approach: No programming background is required.
- Workplace Applications: Focus on reports, presentations, research, data analysis and automation.
- Productivity Focus: Learn to use AI to save time and improve the way you work.
Curriculum
- 23 Sections
- 107 Lessons
- 5 Days
- Module 1: AI Foundations and Advanced Logic4 Items
- Module 2: Tokenisation and Context Windows5 Items
- Module 3: Understanding Hallucinations4 Items
- Module 4: Prompt Engineering for Workplace Productivity7 Items
- 5.1Understanding Prompts and AI Instructions
- 5.2CO-STAR (Context, Objective, Style, Tone, Audience, Response)
- 5.3Applying CO-STAR to Emails, Reports, Proposals
- 5.4Structuring Prompts for Professional Tasks
- 5.5Creating Reusable Prompts and Prompt Templates
- 5.6Using Roles, Context and Objectives
- 5.7Adding Constraints and Output Formats
- Module 5: Using Different Prompting Styles17 Items
- 6.1Zero-Shot Prompting
- 6.2One-Shot Prompting
- 6.3Few-Shot Prompting
- 6.4Role-Based Prompting
- 6.5Persona Prompting
- 6.6Chain-of-Thought Prompting
- 6.7Structured Output Prompting
- 6.8Context-Rich Prompting
- 6.9Constraint Prompting
- 6.10Comparative Prompting
- 6.11Critique and Improvement Prompting
- 6.12Socratic Prompting
- 6.13Multi-Step Workflow Prompting
- 6.14Retrieval-Augmented Prompting
- 6.15Prompt Chaining
- 6.16Agentic Prompting
- 6.17Universal Formula for High-Quality Prompts
- Module 6: AI for Professional Writing, Reports and Research9 Items
- 7.1Using AI for Professional Email Writing
- 7.2Preparing Proposals and Business Documents
- 7.3Adapting Communication for Different Audiences
- 7.4Using AI for Business Research
- 7.5Summarising Long Documents and Reports
- 7.6Extracting Key Information from Documents
- 7.7Preparing Business Reports with AI
- 7.8Creating Executive Summaries
- 7.9Developing Professional Presentations
- Practical Lab 1: The Prompt Laboratory2 Items
- Practical Lab 2: Preparing a Business Report and Presentation0 Items
- Module 7: Leonardo AI for Professional Assets4 Items
- Module 8: Audio & Video AI5 Items
- Module 9: Personalised Video Outreach with HeyGen3 Items
- Practical Lab 3: The Youtube Sprint5 Items
- Module 10: AI Data Analysis3 Items
- Module 11: Querying Excel and CSV Files Without Formulas5 Items
- Module 12: Trend Analysis and Regression using Machine Learning3 Items
- Module 13: Web-Augmented Research4 Items
- Module 14: Competitor Analysis with ChatGPT3 Items
- Module 15: The No-Code AI Agents4 Items
- Practical Lab 4: AI Automation and Agents4 Items
- Module 16: Building Custom GPTs6 Items
- Module 17: Productivity Stack Integration4 Items
- Practical Lab 5:2 Items
- Module 18: Responsible AI4 Items









