In House

Customer experience and communication are core pillars of every modern organisation. Generative AI tools like ChatGPT, Gemini, and Claude offer powerful ways to enhance customer service, automate content creation, and craft persuasive messaging. This 1-day course empowers professionals to harness the power of prompt engineering to streamline workflows, personalise communication, and drive business outcomes.

Participants will explore the art and science of prompt design through live practice and industry-specific use cases, ensuring they are ready to deploy AI tools ethically and effectively in their daily work.

LEARNING OUTCOMES:

Module 1: Introduction to Generative AI & Prompt Engineering

Learn how generative AI tools like ChatGPT and Gemini work. Understand LLM behaviours, hyperparameters, and the 5 GEARS model of prompt crafting.

Hands-on: Compare prompt outputs, identify improvements.

Module 2: Prompting for Customer Support & Response Automation

Use AI to handle FAQs, complaints, refund policies, product troubleshooting, and more.

Hands-on: Draft human-like customer replies and escalate workflows.

Module 3: Prompting for Internal Communications

Automate memos, announcements, team briefings, email responses, SOP updates, and reports.

Hands-on: Build tone-specific prompts for different roles (e.g. CEO vs HR) 

Module 4: Prompting for Marketing, Branding & Promotion

Use prompt templates to generate social posts, taglines, email campaigns, ad copy, event invites, and calls-to-action.

Hands-on: Create branded content with AI for a specific campaign.

Module 5: AI Ethics in Communication and Brand Representation

Discuss risks: hallucination, bias, tone mismatches, and misinformation in customer-facing content.

Hands-on: Analyse a controversial AI-generated ad and identify what went wrong.

METHODOLOGY:

Generative AI is transforming how projects are planned, analysed, and reported. This hands-on, two-day course enables project professionals to design and deploy prompt engineering techniques using ChatGPT, Claude, and other LLM tools to support project planning, risk evaluation, stakeholder reporting, and decision-making.

Through structured labs and a capstone project, learners will master how to leverage AI to generate project documents, perform schedule and risk analyses, summarise progress, and communicate more effectively—all aligned with PMI’s project domains.

LEARNING OUTCOMES:

Day 1 – AI Foundations for Project Planning

Module 1: Introduction to Generative AI & Prompt Engineering

Understand ChatGPT and LLMs. Learn prompt structures using the 5GEARS model.

Hands-on: Compare prompts for scoping vs status update tasks.

Module 2: Prompting for Project Research and Context Setup

Use AI to understand project domains, summarise RFPs, define assumptions, and identify project stakeholders.

Hands-on: Create a project charter prompt workflow.

Module 3: Project Scope and Schedule Planning

Generate WBS outlines, milestone plans, and schedule breakdowns using AI..

Hands-on: Generate Gantt-style prompts, scope baseline summaries, and assumptions logs.

Module 4: Prompt Debugging & Iteration for Project Inputs

Practice improving and correcting prompts for better project deliverables.

Hands-on: Refine prompts for project plans and requirement documentation.

Day 2 – Risk, Reporting and Capstone

Module 5: Prompting for Risk, Issue and Stakeholder Analysis

Automate the generation of risk registers, issue logs, and stakeholder impact summaries.

Hands-on: Use COT/ToT prompts to simulate mitigation plans and stakeholder reactions.

Module 6: Project Reporting & Communication Support

Craft status updates, traffic-light (RAG) reports, executive summaries, and lessons learned reports.

Hands-on: Draft a stakeholder-specific update (e.g. for sponsor vs team).

Module 7: Advanced Prompting for Project Scenarios

Apply Chain-of-Thought (CoT), ReAct, and Tree-of-Thought (ToT) for project change requests, lessons learned sessions, or decision making.

Hands-on: Simulate project decisions using AI-aided analysis.

Module 8: Ethics, Governance, and AI Use in Projects

Discuss bias, hallucinations, and how to manage project confidentiality with AI tools.

Hands-on: Scenario-based discussion

Module 9: Capstone Group Project: Project AI Assistant Pitch

Teams build and present a working AI workflow supporting a project phase (e.g. scoping assistant, meeting summariser, RAG tracker).

Outcome: Group presentations and peer review.

METHODOLOGY:

This 3-day hands-on course empowers professionals to design, build, and deploy intelligent automation workflows using the low-code platform n8n, enhanced by OpenAI’s GPT capabilities. Participants will learn to connect business apps, trigger multi-step actions, and deploy smart AI agents (e.g., chatbots, personal assistants, content generators) tailored to real-world use cases.

The course progresses from automation basics to advanced AI-driven scenarios and culminates in a capstone project, allowing teams to present fully functioning AI agents for real business tasks.

LEARNING OUTCOMES:

Day 1 – Foundations of Automation & n8n Essentials

Module 1: Introduction to Intelligent Agents

Understand the components of intelligent agents and how they interact with data, APIs, and users. Differentiate the differences between AI automation and AI agent workflows

Module 2: Introduction to n8n Platform

Explore the n8n interface and learn key node structures, trigger logic, actions and app integrations. Build your first ‘Rule-based’ automation workflow

Challenge: Automation Challenge: Inbox Classifier Bot

Build an email classification agent using Gmail triggers, conditional logic, and response workflows

Day 2 – Smart Agents with OpenAI and n8n

Module 3: Introduction to OpenAI & Prompt Engineering Basics

Learn how to craft effective prompts and connect OpenAI APIs to workflow

Module 4: Build Smart Content Generator, Chatbot Agents

Learn how to automate report generation, article summarisation, and meeting minute creation. Develop a chatbot using n8n + OpenAI that answers questions, gives recommendations and retains memory

Module 5: Build Context-Aware & Memory-Based Workflows

Insert memory nodes, filters, and contextual prompts to simulate human-like interactions

Capstone Project: Initiating

Form teams to discuss the scope of capstone project

Day 3 – Business Use Cases, Deployment & Capstone

Module 6: Real-World Use Cases of AI Agents

Explore AI automation workflow blueprints across HR, marketing, sales, customer service, and operations.

Module 7: AI Agent Deployment Across Channel

Learn how to set up web hook triggers, integrate with Telegram, WhatsApp, or embed agents into a (mockup) website.

Capstone Project Build Sprint

Teams build their own end-to-end AI-powered agent to solve a selected business challenge.

Capstone Project Presentation & Feedback

Teams pitch their solution, demonstrate workflows, and receive feedback from peers and instructor

METHODOLOGY:

Generative AI is transforming the modern workplace—reshaping how we research, plan, communicate, and execute. This one-day practical course equips business planners, analysts, and consultants with the power of prompt engineering—a crucial skill to extract meaningful, accurate, and actionable outputs from tools like ChatGPT, Claude, Gemini, and more.

Participants will explore real-world business applications, from financial analysis to project forecasting, and walk away with the ability to design effective AI-assisted workflows. Through hands-on exercises, learners will master how to collaborate with AI in a responsible, creative, and strategic way.

🔹 Explain how ChatGPT and generative AI models work and apply principles of effective prompt design.
🔹 Use prompt engineering techniques to automate research, analyse trends, and generate strategic insights.
🔹 Leverage AI to support business planning, forecasting, and project analysis.
🔹 Practice ethical and responsible AI usage with awareness of risks and limitations.

Module 1: Introduction to Generative AI & Prompt Engineering

Understand how ChatGPT and large language models work. Learn prompt types, prompt tuning principles, and the 5 GEARS model of effective prompting.
Hands-on: Test simple vs improved prompts; explore differences in outputs.

Module 2: Prompting for Research, Trend Analysis & Market Insights

Use AI tools to automate information curation, research validation, and summarisation. Hands-on: Generate trend analyses for industry case studies (e.g., retail, tech, finance).

Module 3: Prompting for Business Planning & Strategy

Design prompts to support strategic planning: SWOT, competitor benchmarking, customer personas, and ROI projections.
Hands-on: Create strategic documents based on user-provided or sample scenarios.

Module 4: Prompting for Project Analysis & Reporting

Apply prompt engineering to support project evaluation, risk analysis, progress reporting, and stakeholder communication.
Hands-on: Create AI-generated project summaries and RAG (Red-Amber-Green) or ‘Traffic Lights’ reports.

Module 5: Ethics, Governance, and Responsible Use of AI

Discuss AI bias, hallucination, privacy concerns, and governance frameworks in a professional setting.

Hands-on: Scenario-based discussion

METHODOLOGY: