GenAI and Applied Prompt Engineering: Leading the Augmented Workforce

Program Description

This two-day strategic program is designed to move non-technical executives beyond basic AI interactions into Professional-Grade Prompt Engineering. In the Malaysian corporate landscape, the ability to communicate effectively with AI is a critical leadership competency.
This workshop bridges the gap between creative execution and executive-level decision-making by teaching a "thinking partner" approach to AI.
Participants will build proprietary, no-code workflows - ranging from campaign ideation and deck preparation to advanced brand governance and automated CRM responses - all while ensuring structural compliance with data privacy and national governance standards.

While this outline serves as a foundational framework with use cases from multiple industries and functions, the final program is fully customized to your industry and internal workflows.

Participants work on real-world problems, not generic examples. We engage in a pre-workshop alignment to inject your specific organizational datasets, pain points, and proprietary use cases directly into the curriculum.

Learning Objectives

Master Professional Prompt Engineering: Use structured prompt patterns (Role + Task + Context + Constraints) to generate high-fidelity marketing assets and executive reports.
Accelerate Content & Deck Production: Prototype workflows for campaign frameworks, social assets, and retailer proposal decks to reduce manual workload by 30–50%.
Construct a Proprietary Brand DNA System: Develop a centralized Brand Prompt Library and custom-tuned AI "Brand Bots" to ensure consistent tone and automated governance.

Program Details

Content

Day 1: Strategy, Design & Advanced Prompting

Module 1: Professional Prompting Fundamentals

Understanding the “thinking partner” model of GenAI. Moving from simple questions to “Chain-of-Thought” prompting and structured role-playing for executive tasks.
Scenario (HR/Operations): An HR leader uses AI to draft a multilingual (EN/BM/CN) internal change management memo, ensuring the tone remains “empathetic yet professional” while redacting sensitive employee data.
Hands-on: Practice writing structured prompt patterns for complex tasks (Role: Senior Strategy Consultant, Task: Market Expansion Plan); test outputs against brand tone.
Expected Impact: Immediate improvement in output quality; foundation for safe, effective AI usage across all subsequent modules.

Module 2: GenAI for Market Strategy & Competitor Analysis

Using LLMs to support campaign ideation, consumer persona building, and market research specifically for health, wellness, and retail channels.
Demo (Retail/E-commerce): Turn a raw brand brief into multiple campaign concepts, audience personas, SWOT analysis, and a basic campaign framework in under 10 minutes.
Hands-on: Use AI to scan and summarize competitor positioning and online reviews into 1–2 slide executive insight summaries.
Expected Impact: Proposal preparation in half the time; more strategic, data-backed campaign angles with less manual research.

Module 3: AI for Presentation & Executive Deck Preparation

Using GenAI to structure proposal decks, campaign recaps, and HQ submission storylines.
Scenario (Finance/Commercial): Input a raw performance table and a short email brief → AI generates a slide outline, slide titles, and talking points for an HQ presentation.
Hands-on: Create a 6–8 slide outline for a retailer campaign proposal, including objectives, insights, and activation ideas.
Expected Impact: 30–50% reduction in time spent preparing decks; better-structured, more polished executive presentations.

Module 4: AI for Creative Assets – Images & Moodboards

Leveraging AI image tools to create moodboards, lifestyle mockups, and pre-shoot concepts without needing design software.
Demo (Manufacturing/Packaging): Input a written brief for a new product SKU → AI generates multiple rough visual routes and packaging layout ideas.
Hands-on: Generate visual concepts for a POSM or social campaign before briefing designers or agencies.
Expected Impact: Lower production cost; reduced outsourcing for simple design tasks; faster concept exploration.

Day 2: Data, Governance & Deployment

Module 5: Translating Complex Data into Human Messaging & Technical Framing

A methodology to safely convert complex scientific, technical, or legal data into consumer-friendly, compliance-safe messaging.
Scenario (Healthcare/Pharma): Input a raw clinical study for a supplement → AI generates tiered content for pharmacists versus educational content for consumers.
Hands-on: Practice prompting AI to generate “Benefit” copy that stays within the legal boundaries of Malaysian healthcare advertising regulations (KKLIU).
Expected Impact: Significantly lower risk of regulatory or medical claim breaches; improved educational authority in retail channels.

Module 6: AI for Customer Service & CRM Communication

Summarizing repetitive customer questions and generating multilingual response templates while maintaining brand-safe tone.
Scenario (Sales/Customer Support): Input a mock complaint or product query → AI drafts reply options, escalation notes, and internal talking points.
Hands-on: Build a reusable library of response prompts for CRM teams, ready to plug into WhatsApp or email workflows.
Expected Impact: Faster response time; more consistent brand tone; reduced staff fatigue in drafting routine communications.

Module 7: Responsible AI & "Brand DNA" Governance

Establishing a centralized “Brand Intelligence” hub where AI outputs are governed by proprietary guidelines.
Scenario (Leadership): Load brand guidelines and historical “Best-in-Class” campaign data into a Custom GPT to act as a “Brand Guardian”.
Hands-on: Build a “Brand DNA Bot” – create a custom AI assistant pre-loaded with specific tone-of-voice, visual guidelines, and prohibited claims.

Module 8: Brainstorming High-Impact AI Use Cases & Value Mapping

Identifying and prioritizing AI opportunities that align with specific business goals, moving from “interesting ideas” to “strategic imperatives”.
Framework: Use the ROI-Feasibility Matrix to map current team bottlenecks (e.g., deck prep, research) to specific AI solutions.
Hands-on: Design a 3–6 month GenAI rollout plan for your department with measurable productivity and cost-efficiency KPIs.
Expected Impact: A prioritized “AI Backlog” ready for immediate implementation; faster go-to-market for future campaigns.

List of Deliverables

Upon completion of the program, participants will have produced a tangible “AI Portfolio” including:

Proprietary GenAI Playbook: A co-created framework outlining data privacy rules, human-in-the-loop checkpoints, and brand-safety checklists.
LinkedIn & GitHub Showcase: All mini-projects (campaign decks, visual moodboards, translation chains) are designed to be "portfolio-ready," allowing participants to showcase their AI proficiency on professional platforms.

Prerequisites

Technical Knowledge: No prior coding or technical AI experience is required; designed for business and creative professionals.
Essential Equipment: Participants must bring a laptop with access to web-based AI tools (ChatGPT, Claude, etc.) and have access to non-sensitive mock data for labs.
Mindset: A willingness to experiment with "thinking partner" AI workflows.

Who Should Attend

Brand & Marketing Managers
Trade / Shopper Marketing & Key Account Teams
Social Media, Content & Creative Executives
Customer Service & CRM Teams
Category / Product Managers and Commercial Leads

Training Methodology

Prompt Engineering Lab: Hands-on application using your actual brand briefs, clinical data, and retailer tables.
Workflow Architecture Breakouts: Critical analysis of traditional workflows against AI-governed ecosystems.
Executive Intelligence Co-Design: Group sessions to build the GenAI Playbook and phased adoption roadmap.

100% HRDC-Claimable

This program is fully registered and compliant with HRDC (Human Resource Development Corporation) requirements under the SBL-Khas scheme, allowing Malaysian employers to offset the training costs against their levy.

Certification of Completion

Participants who successfully complete the program will be awarded a “Professional Certificate in Applied Prompt Engineering & GenAI Transformation.”

Post-Workshop Consulting (Optional)

For organizations looking to bridge the gap between training and execution, we offer optional, paid consulting services. These engagements provide expertise and technical support for specific pilot development or full-scale operational integration of the data- and AI-driven use cases established during the program.