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Training
Course Information
Course Name
PE-AIWE: Prompt Engineering & AI for Work Efficiency
Duration
2 Days
Overview
Audience Profile
Prerequisities
At Course Completion
Course Outline
Overview
This 2-day interactive workshop is designed to provide business professionals with a clear and practical understanding of Artificial Intelligence (AI), with a strong focus on the emerging field of Generative AI (GenAI). Participants will explore how AI is transforming industries, learn to identify AI opportunities within their own functions, and gain hands-on experience with popular GenAI tools like ChatGPT, Microsoft Copilot, and Canva AI.
Overview
Overview
This 2-day interactive workshop is designed to provide business professionals with a clear and practical understanding of Artificial Intelligence (AI), with a strong focus on the emerging field of Generative AI (GenAI). Participants will explore how AI is transforming industries, learn to identify AI opportunities within their own functions, and gain hands-on experience with popular GenAI tools like ChatGPT, Microsoft Copilot, and Canva AI.
Audience Profile
Audience Profile
Business professionals, operations / admin teams, analysts / executives, educators / trainers, and business users with basic computer skills and no coding knowledge.
Prerequisities
Prerequisites
At Course Completion
At Course Completion
By the end of the 2 days, participants will be able to:
- understand how AI and large language models (LLMs) work in practical workplace scenarios
- apply structured prompting techniques (RCCT, zero-shot, few-shot, iterative)
- control AI outputs using prompt and context techniques
- generate reports, summaries, emails, and business content efficiently
- design simple AI-assisted workflows for productivity
- automate repetitive work tasks using AI
- understand AI limitations, risks, and responsible usage practices
- use AI tools more effectively in daily work
- gain awareness of workflow-based AI and multi-step task automation
Course Outline
Course Outline
Module 1: Understanding AI, LLM & How It Works
- What is AI vs Generative AI
- What is an LLM
- How LLM works (simplified)
- Strengths and limitations of AI (hallucination, bias, context)
- AI as assistant, not decision-maker
Module 2: RCCT Prompting Framework
- Why prompts fail
- Role, Context, Constraints, Task (RCCT)
- Structuring clear and effective prompts
- Controlling tone, audience, and format
- Comparing weak vs strong prompts
Module 3: Prompting Techniques
- Zero-shot prompting
- One-shot and few-shot prompting
- Question-based prompting
- Iterative prompting (refinement approach)
- Improving outputs step-by-step
Module 4: Advanced Prompting & Output Control
- Generating structured outputs (tables, lists, JSON)
- Prompt chaining for multi-step tasks
- Controlling tone, messaging, and style
- Creating reusable prompt templates
- Context engineering basics (better input = better output)
Module 5: Prompt Optimization & Debugging
- Refining weak outputs
- Avoiding generic responses
- Fixing unclear or incomplete prompts
- Improving accuracy through iteration
- Reducing hallucination through better instructions
Module 6: AI Workflow Thinking
- AI as a productivity multiplier
- Workflow thinking: Input → AI → Output → Human validation
- Identifying repetitive work tasks
- Automation opportunities:
- Email drafting
- Meeting summaries
- Report generation
- Designing simple repeatable prompt workflows
Module 7: AI for Daily Work Productivity
- Email drafting and rewriting
- Meeting minutes and action items
- Report writing and summarization
- Professional document generation
- AI as a personal work assistant
Module 8: AI for Communication & Content Creation
- Business emails and replies
- Internal communication drafts
- Presentation and document summaries
- Content repurposing strategies
- Tone adaptation for different audiences
Module 9: Multi-Step Tasks & Complex Prompting
- Breaking complex tasks into manageable steps
- Prompt chaining workflows
- Input → Analysis → Recommendation
- Structured outputs for decision-making
- Role-based prompting for different business functions
Module 10: AI + Tools Integration
- AI with Excel / Google Sheets
- AI with documents and notes
- Using AI for data summarization
- Generating formulas using AI
- Automating repetitive document workflows
Module 11: Workflow Design for Business Functions
- Designing workflows for:
- HR
- Finance
- Operations
- Education / training
- Reusable workflow templates
- Human-in-the-loop validation
- Scaling AI usage across teams
Module 12: Responsible AI & Best Practices
- Data privacy
- Prompt security
- Avoiding sensitive data exposure
- Responsible workplace AI usage
- When human review is required
