Presentation with Impact : (Effective Presentation Skills)
2026-07-22 09:00 - 2026-07-23 17:00 (Asia/Kuala_Lumpur) | Menara OUM, Block C, Kompleks Kelana Centre Point, Jalan SS7/19, Kelana Jaya, Petaling Jaya, Selangor, 47301, Malaysia
OVERVIEW
The programme focuses on building clearer messaging, stronger delivery, and greater confidence when speaking to colleagues, students, and stakeholders. Using a practical, workplace-based approach with guided practice and feedback, participants will strengthen professional communication, active listening and questioning techniques, improve email and meeting communication, and learn how to handle feedback and challenging conversations more effectively. The overall outcome is improved communication quality, smoother collaboration, and more confident presentations across teams.

LEARNING OUTCOMES
The programme is to help participants to:

Acquire presentation skills, techniques and apply relevant delivery styles to suit the audience;
Speak and present in front of an audience in a confident and professional manner;
Overcome fears by applying stage management techniques; and
Handle questions and manage difficult audience.

COURSE OUTLINE
Day 1 — Foundations, Structure & Preparation
Module 1: Bringing Out the Best in You

The winning mindset (confidence, growth mindset, presence)
Qualities of a good speaker/presenter
Common pitfalls to avoid
Self-assessment (strengths, gaps, personal action goals)

Activity (Optional): 5-minute individual intro + quick feedback (baseline)

Module 2: Speaking in Public

What is public speaking?
Types of public speaking (informative, persuasive, briefing, updates, pitches)
The power of public speaking (influence, clarity, credibility)
The speech communication process (speaker–message–audience–channel–feedback)
Practical warm-up exercises (voice, breathing, articulation)

Module 3: 4Ps of Public Speaking

Preparation (planning, rehearsal, confidence-building)
Purpose (goal, desired audience outcome)
People (audience profiling: needs, expectations, level)
Performance (delivery basics: pacing, energy, presence)

Module 4: Preparation Deep Dive

What? Why? When? Where? Who? (5W foundation for clarity)
Before / During / After checklist (planning to follow-up)
The psychology of the audience (attention span, trust, engagement triggers)

Module 5: Planning Your Presentation

Gathering materials (facts, examples, data)
Organising / layout (clear flow, signposting)
Opening statements (hook + objective)
Body / content (main points, proof, transitions)
Closing statements (summary + call-to-action)
Presentation tools (what to use and when)
Presentation kit (what to bring / backup plan)
Supporting materials (handouts, notes, references)

End of Day 1 Output: Draft presentation structure + opening & closing script.

Day 2 — Delivery, Visuals, Stage Handling & Performance
Module 6: Practice! Practice! Practice!

Understanding fear (why it happens)
Overcoming nervousness (breathing, posture, rehearsal routines, mental reset)
Confidence drills (voice projection, pacing, pausing, eye contact)

Module 7: Presenting with Visual Aids & Equipment

Using visual aids & equipment effectively (projector, mic, clicker)
Designing PowerPoint slides (simple, clean, audience-first)
Layout principles (alignment, spacing, readability)
Rule of 6 (keep slides light and readable)

Module 8: Interpersonal & Social Skills for Presenters

Personal appearance (professional presence)
The speaker’s voice (tone, pace, clarity, emphasis)
Gestures & body actions (controlled movement, purposeful gestures)
Guidelines for ethical speaking (accuracy, respect, confidentiality)

Module 9: Stage Management

The stage (movement zones, positioning, audience scanning)
Handling difficult audience & situations (interruptions, objections, distractions)
Handling questions (bridging, clarifying, answering with structure)

Module 10: Let’s Do It! (Performance & Feedback)

5-minute individual presentation (final delivery)
Video recording (optional, if agreed)
Review / feedback (strengths + improvement points + personal action plan)

End of Day 2 Output: Final presentation performance + personalised improvement checklist.

METHODOLOGY

Discussion
Role-play
Simulation
Self-Assessments
Group Presentations

GENERATIVE AI & PROMPT ENGINEERING
2026-07-22 09:00 - 2026-07-23 17:00
OVERVIEW

This two-day workshop provides a comprehensive introduction to the exciting world of Generative Artificial Intelligence (GenAI) and the crucial skill of Prompt Engineering. Participants will gain a foundational understanding of how GenAI models work, explore the capabilities of leading platforms like ChatGPT and Google Gemini, and learn practical techniques for crafting effective prompts to generate high-quality outputs.
Furthermore, the workshop will delve into creative applications using tools like OpenArt.ai and InVideo.io, and explore innovative presentation methods with Gamma.app. By the end of this workshop, participants will be equipped with the knowledge and hands-on experience to leverage GenAI tools for enhanced productivity, creativity, and innovation within their professional roles, while also understanding the ethical considerations associated with their use.

LEARNING OUTCOMES

A strong foundational understanding of Generative AI and Large Language Models.
Practical skills in prompt engineering for effective interaction with ChatGPT and Google Gemini.
Awareness of the ethical implications and best practices for responsible AI usage.
Exposure to creative GenAI tools like OpenArt.ai and InVideo.io.
Knowledge of using Gamma.app for innovative content presentation.
Confidence to explore and integrate Generative AI tools into their workflows.

COURSE OUTLINE:
SECTION 1: GenAI & ChatGPT
Module 1: Understanding Generative AI
Objective: Build foundational knowledge about Generative AI and its capabilities.

Topics:

What is Generative AI? (Definition and Core Concepts)

Key Features:

Text and Image Generation
Multimodal Capabilities

How Generative AI Works:

Data Gathering
Model Training
Content Generation

Real-World Applications:

Content Creation
Chatbots and Assistants
Scientific Research

Interactive Activity:

Discuss and brainstorm potential applications of GenAI in your company’s business operations

Module 2: Introduction to ChatGPT
Objective: Provide an overview of ChatGPT and its practical uses.

Topics:

What is ChatGPT? (Capabilities and Limitations)

Key Features:

Natural Language Understanding
Contextual Responses
Task Accomplishment

Prompt Engineering Basics:

RTF (Role, Task, Format)
CTF Contextual Responses
Mega Prompts vs. Prompt Chaining

Hands-On Activity:

Write a structured prompt using RTF and get responses using ChatGPT

Module 3: Practical Applications of ChatGPT
Objective: Demonstrate how to apply ChatGPT for real-world scenarios.
Topics:

Using ChatGPT for:
Customer Service Automation
Marketing Content Creation
Internal Communication

Interacting Effectively with ChatGPT:

Managing Context
Error Handling

Hands-On Activity:

Role-Play Scenarios:
Customer Inquiry Handling
Drafting a Marketing Email
Summarizing Meeting Notes

Module 4: Advanced Techniques and Ethical Use
Objective: Explore advanced ChatGPT techniques and discuss ethical considerations.

Topics:

Advanced Features:

Controlling Response Length
Using System Instructions
Sentiment Analysis

Ethical Considerations:

Bias Mitigation
Data Privacy
Transparency in Outputs

Interactive Discussion:

Challenges and opportunities in using AI responsibly within your company

SECTION 2: INTRODUCTION TO LARGE LANGUAGE MODELS AND GOOGLE GEMINI
Module 1: Understanding Large Language Models
Objective: Build foundational knowledge of Large Language Models (LLMs) and their applications.

Topics:

What are Large Language Models (LLMs)?

Definition and Key Features:

How LLMs Generate Responses

Applications of LLMs:

Advanced Chatbots
Automated Content Writing
Virtual Assistants

Benefits of Using LLMs:

Time-Saving
Enhanced Productivity
Reliable Information

Interactive Activity:

Discuss and brainstorm potential applications of GenAI in your company’s business operations

Module 2: Introduction to Google Gemini

Objective: Introduce participants to Google Gemini’s capabilities and explore its use cases.

Topics:

What is Google Gemini?
Overview and Core Feature
Capabilities: Text Generation, Creative Content, Multimodal Operations

How Google Gemini Works:

Data Training
Contextual Understanding
Answer Generation

Prompt Engineering Basics:

RTF (Role, Task, Format)
CTF (Context, Task, Format)

Hands-On Activity: Engineering Basics:

Practice creating prompts using RTF and CTF to generate different outputs with Google Gemini

Module 3: Ethical Considerations and Responsible Use

Objective: Discuss the ethical implications of using LLMs like Google Gemini and foster responsible AI use.

Topics:

Addressing Biases in LLMs
Data Diversity
Algorithmic Improvements

Ensuring Responsible Use:

Privacy and Data Security
Transparency and Accountability

Legal and Ethical Considerations:

Regulatory Compliance
Ethical AI Development

Interactive Discussion:

Explore challenges and strategies for ethical AI implementation in your company

SECTION 3: EXPLORING OPENART.AI, INVIDEO.IO, AND GAMMA.APP
Module 1: Introduction to OpenArt.ai
Objective: Understand the capabilities of OpenArt.ai and its applications in creative workflows.

Topics:

What is OpenArt.ai?
Overview and Features
Generating AI-Driven Artwork

Use Cases:

Digital Marketing and Branding
Creative Design Projects
Content Personalization

Hands-On Demonstration:

Generating Artworks Based on Specific Themes
Exploring Customization Options

Activity:

Participants create an AI-generated artwork for a marketing campaign or personal project

Module 2: Introduction to InVideo.io
Objective: Learn how to leverage InVideo.io for video creation and editing.

Topics:

What is InVideo.io?
Overview and Features
Pre-Built Templates and AI-Assisted Video Creation AI-Driven Artwork

Applications:

Social Media Marketing
Business Presentations
Video Ads and Tutorials

Hands-On Demonstration:

Creating a Short Promotional Video Using Templates
Customizing Text, Images, and Music

Activity:

Participants create a 30-second promotional video for a product or service.

Module 3: Introduction to Gamma.app
Objective: Explore Gamma.app’s capabilities for storytelling, presentation, and document creation.

Topics:

What is Gamma.app?
Overview and Features
AI-Powered Presentation and Content Structuring

Use Cases:

What is Gamma.app?

Overview and Features:

Creating Visually Appealing Presentations
Collaborative Content Creation
Interactive Storytelling

Hands-On Demonstration:

Designing a Slide Deck Using Gamma.app
Enhancing Presentations with AI-Suggested Content

Activity:

Participants design a 5-slide presentation for a business proposal.

METHODOLOGY

Interactive Lectures
Demos
Hands-On Exercises
Practical Exercises
Q&A and Feedback

CYBER SECURITY BUILDING HUMAN FIREWALL
2026-07-28 09:00 - 2026-07-29 17:00
OVERVIEW
Cybersecurity threats continue to grow in frequency and sophistication, with many successful attacks targeting people rather than technology. Employees are often the first line of defence against phishing, social engineering, ransomware, data breaches and other cyber risks.
This two-day programme is designed to build a strong Human Firewall within the organisation by increasing cybersecurity awareness, promoting secure digital behaviour, and equipping participants with practical skills to identify, prevent and respond to cyber threats. Through interactive discussions, case studies, simulations and hands-on exercises, participants will gain the knowledge and confidence required to protect organisational information assets and contribute to a stronger cybersecurity culture.

LEARNING OUTCOMES
Upon completion of this programme, participants will be able to:

Understand fundamental cybersecurity concepts and current cyber threat trends.
Identify common cyber attacks, including phishing, malware, ransomware, and social engineering.
Recognise suspicious emails, websites, links, and online activities.
Apply cybersecurity best practices when handling organisational information and digital assets.
Strengthen password management and authentication practices.
Protect sensitive and confidential data from unauthorised access and disclosure.
Respond appropriately to cybersecurity incidents and security breaches.
Contribute to building a cyber-aware and security-conscious workplace culture.

COURSE OUTLINE
DAY 1: Cybersecurity Awareness & Threat Identification
Module 1: Introduction to Cybersecurity

a) Understanding cybersecurity fundamentals
b) The importance of human factors in security
c) Current cyber threat landscape
d) Cybersecurity trends and organisational risks
e) Consequences of cyber incidents and breaches

Module 2: Understanding Common Cyber Threats

a) Malware, viruses, worms and trojans
b) Ransomware attacks and business disruption
c) Business Email Compromise (BEC)
d) Insider threats and accidental exposure
e) Data breaches and information theft

Module 3: Social Engineering Attacks

a) What social engineering means in daily work
b) Psychological manipulation techniques used by attackers
c) Phishing, spear phishing and whaling
d) Vishing (voice phishing) and smishing (SMS phishing)
e) Real-world attack case studies and lessons learned

Module 4: Phishing Detection Workshop

a) Identifying phishing emails and suspicious attachments
b) Recognising fake websites and login pages
c) URL inspection and link verification techniques
d) Safe browsing practices for work and personal devices
e) Practical phishing simulation exercises

Module 5: Cybersecurity Best Practices

a) Safe internet usage and digital hygiene
b) Email security guidelines
c) Secure use of social media and messaging platforms
d) Mobile device security
e) Remote working security practices

DAY 2: Data Protection, Incident Response & Human Firewall Culture
Module 6: Password Security & Access Control

a) Common password vulnerabilities and risky habits
b) Creating strong and memorable passwords
c) Using password managers securely
d) Multi-factor authentication (MFA)
e) Access control principles and least privilege

Module 7: Data Protection & Information Security

a) Understanding sensitive and confidential information
b) Data classification and proper handling
c) Personal Data Protection Act (PDPA) awareness
d) Secure file sharing, storage and disposal
e) Data loss prevention practices

Module 8: Incident Response for Employees

a) Recognising security incidents and warning signs
b) Reporting procedures and communication channels
c) Immediate response actions for employees
d) Escalation process and evidence preservation
e) Lessons learned from cyber incidents

Module 9: Building a Human Firewall Culture

a) Security awareness responsibilities
b) Creating a cyber-aware workplace
c) Security habits and behaviour at work
d) Managing cyber risks in daily operations
e) Leadership and employee roles in cybersecurity

Module 10: Cybersecurity Simulation & Action Planning

a) Cyber attack scenario exercise
b) Team-based threat response activities
c) Knowledge assessment and review
d) Personal cybersecurity action plan development
e) Course review, discussion and commitment to action

METHODOLOGY

Interactive Lectures (30%): facilitator-led presentations, group discussions and knowledge sharing sessions
Case Studies (20%): analysis of real cyber incidents, lessons learned and best practice discussions
Practical Exercises (20%): phishing detection activities, password security exercises and cyber risk identification
Simulations & Role Plays (20%): social engineering simulations, incident response scenarios and team-based challenges
Assessment & Reflection (10%): knowledge quizzes, group presentations and individual action planning

PROBLEM SOLVING & DECISION MAKING
2026-07-28 09:00 - 2026-07-29 17:00
OVERVIEW

This two-day interactive training program equips participants with essential skills to effectively identify problems, analyze root causes, generate solutions, and make wellinformed decisions in the workplace. Through practical tools, real-life case studies, and group activities, participants will develop a structured approach to problem solving and decision making that enhances productivity, fosters critical thinking, and supports better outcomes in both individual and team settings.

LEARNING OUTCOMES

By the end of this 2-day training, participants will be able to:
1. Identify and define problems clearly using structured methodologies.
2. Analyze root causes effectively with tools such as the 5 Whys and Fishbone Diagram.
3. Generate creative and practical solutions through brainstorming and innovation techniques
4. Evaluate options and make sound decisions using decision-making tools like the Decision Matrix and Cost-Benefit Analysis.
5. Apply critical thinking to assess risks and impacts before implementation.
6. Work collaboratively in teams to solve problems and present solutions confidently.
7. Develop action plans to address workplace challenges with clarity and accountability.

COURSE OUTLINE
Day 1 – Problem Solving Fundamentals

Day 1 – Problem Solving Fundamentals
• Ice Breaker
• Overview of Program Objectives
• Importance of Problem Solving in the Workplace

• Understanding Problems
o Definition & Types (structured vs. unstructured)
o Difference between symptoms and root causes

• Morning Break
• Problem Solving Models o Problem-Solving Cycle
o PDCA (Plan-Do-Check-Act)
o Root Cause Analysis (5 Whys, Fishbone Diagram)

• Lunch Break
• Tools for Problem Identification
o SWOT Analysis
o Pareto Principle (80/20 Rule)
o Process Mapping & Flowcharts

• Afternoon Break
• Practical Exercise:
o Case study on identifying and analyzing workplace problems
o Group activity and presentation

Day 2 – Decision Making Techniques
• Introduction to Decision Making
o Decision-making process
o Styles of decision making (analytical, intuitive, etc.)
o Common decision-making barriers (biases, emotions, assumptions)

• Morning Break
• Decision-Making Tools
o Decision Matrix
o Cost-Benefit Analysis
o Risk Assessment Techniques

• Lunch Break 1:30 PM – 3:00 PM
• Creative Problem Solving
o Brainstorming Techniques
o SCAMPER Method
o Mind Mapping

• Afternoon Break
• Simulation Activity:
o Solve a business problem using learned tools
o Present solutions with justifications

• Recap of Key Learning Points
• Personal Action Plan
• Q&A and Feedback
• Certificate Distribution & Closing

METHODOLOGY

Interactive Lectures
Group Discussions
Self-assessments & Reflections
Real-life Scenarios & Role-playing
Ice-breakers & Gamified Activities
Action Planning

GENERATIVE AI FOR HUMAN RESOURCE SETTING
2026-07-29 09:00 - 2026-07-30 17:00
OVERVIEW
This course is designed to equip Human Resource (HR) professionals with the knowledge and practical skills necessary to effectively incorporate generative AI tools into their day-to-day functions. HR departments are increasingly adopting AI tools to streamline processes such as recruitment, onboarding, performance management, and employee engagement. Through this course, participants will learn how to leverage AI to enhance productivity, improve decision-making, and optimize overall HR functions, while also addressing the ethical implications of AI integration in the workplace.

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

Understand the Fundamentals of Generative AI: Gain a solid understanding of generative AI concepts, and identify how AI tools can be applied to various HR functions.
Utilize AI for Recruitment & Onboarding: Learn to automate and enhance job description creation, resume screening, and interview processes using AI.
Improve Training and Development Programs: Discover how to create personalized training programs and continuously assess their effectiveness through AI-driven tools.
Optimize Employee Performance Management: Leverage AI to generate real-time performance feedback, predictive analytics for retention, and personalized engagement strategies.
Address Ethical Implications of AI in HR: Learn how to manage data privacy, bias, fairness, and regulatory compliance when using AI in HR functions.
Implement AI Strategies in HR Operations: Develop a clear strategy for integrating AI tools into HR processes, and measure the effectiveness of AI adoption.

COURSE OUTLINE
Day 1
Module 1: Understanding AI in organisational settings.

Brief introduction to Artificial Intelligence
The history of AI Revolution
Understanding Machine Learning
Deep Learning and Generative AI
Introduction to Natural Language Processing
Limitations and ethical considerations of using AI tools.
Data sensitivity and GDPR compliances utilising chatgpt

Module 2 : Prompt Engineering and Usage

The core elements of a good prompt
Separating Instructions from content
Ask-Before-Answer Prompting
Contextual Prompting
Emotional Prompting
Laddering Prompting
Self-evaluative Prompting
Reversing Roles
CREATE Framework

Hands on Activity : Prompt Creating Challenge

Module 3: Introduction to Generative AI in HR

Understanding Generative AI: Definitions and Key Concepts
Evolution of AI in Human Resources
Overview of Generative AI Tools Relevant to HR (e.g., ChatGPT, IBM Watsonx, Google Gemini)
Benefits and Challenges of AI Integration in HR Functions

Module 4: Generative AI in Talent Acquisition

AI-Powered Job Description Creation and Optimization
Resume Screening and Candidate Matching Using AI
Enhancing Interview Processes with AI-Generated Questions

Case Studies: Successful AI Implementation in Recruitment

Day 2
Module 5: AI-Driven Onboarding and Training

Automating Onboarding Processes with AI Tools
Developing Personalized Training Programs Using Generative AI
Leveraging AI for Continuous Learning and Development
Monitoring and Evaluating Training Effectiveness with AI Analytics

Module 6: Performance Management and Employee Engagement

Utilizing AI for Real-Time Performance Feedback
AI-Generated Performance Reports and Dashboards
Enhancing Employee Engagement Through Personalized AI Interactions
Predictive Analytics for Employee Retention and Satisfaction

Module 7: Ethical Considerations and Responsible AI Use

Addressing Bias and Fairness in AI Algorithms
Ensuring Data Privacy and Security in AI Applications
Establishing Ethical Guidelines for AI Use in HR
Regulatory Compliance and Legal Implications

Module 8: Implementing AI Strategies in HR

Developing an AI Integration Plan for HR Departments
Change Management and Training for AI Adoption
Measuring ROI and Effectiveness of AI Tools in HR
Future Trends: The Evolving Role of AI in Human Resources

Group Activity: Participants will develop a comprehensive plan to integrate a generative AI tool into a specific HR function within their organization, addressing implementation strategies, ethical considerations, and expected outcomes.

METHODOLOGY

The use of technical and subject matter experts
Relevant and concise course material for each participant
Customized case studies, business simulations
Extensive use of internet throughout workshop delivery

MICROSOFT EXCEL
2026-07-29 09:00 - 2026-07-30 17:00
OVERVIEW
Students will build upon the foundational Microsoft Office Excel 2010/2013/2016/ 2019 / Office 365 knowledge and skills already acquired and learn to create advanced workbooks and worksheets, including advanced formulas, tables and data analysing tools.

LEARNING OUTCOMES
Upon completion of this program, participants will be able to:

Demonstrate enhanced self-assurance and authority in leadership roles.
Apply advanced frameworks for strategic and agile decision-making in high-pressure situations.
Improve their ability to influence, motivate, and manage diverse teams effectively.
Cultivate an agile mindset to adapt to change and drive results efficiently.
Function as powerful internal and external brand ambassadors, reinforcing organizational trust and reputation.

COURSE OUTLINE
Lesson 1: Customizing the Excel Environment

Configure Excel Options
Customize the Ribbon and the Quick Access Toolbar
Enable Excel Add-Ins

Lesson 2: Organizing and Analysing Datasets and Tables

Managing Raw Data
Data Cleaning and Housekeeping
Manual Tables VERSUS Smart Tables
Create and Modify Tables
Sorting Data
Filtering Data
Use SUBTOTAL and Database Functions
Enabling / Disabling Smart Tables

Lesson 3: Creating Basic to Advanced Formulas

Working with Cell References
Working with Absolute Referencing and Relative Referencing
Working with Array Formulas
Working with Name Range

a) Descriptive Names for Cell References

Creating and Using a Named Range
Creating Slightly Smarter Named Ranges
Naming Formulas and Constants
Managing Named Ranges
Automatically Creating Named Ranges
Applying Names to Existing Formulas

b) Controlling Recalculation
c) Solving Formula Errors

Step-by-Step Evaluation
Tracing Precedents and Dependents
Error Checking

d) Working with Formulas and Functions
o Creating a Basic Formula

Excel’s Order of Operations (BODMAS)
Cell References
How Excel Formats Cells That Contain Cell References

o Functions

Using a Function in a Formula
Using Cell References with a Function
Using Cell Ranges with a Function
Excel Compatibility Functions

o Formula Errors
o Logical Operators
o Formula Shortcuts

Point-and-Click Formula Creation
Point-and-Click Formula Editing
The Formulas Tab.
Using the Insert Function Button

o Copying Formulas

Absolute Cell References
Partially Fixed References
Referring to Other Worksheets
Referring to Other Workbooks

Lesson 4: Working with Statistical and Database Functions
a) Working with Simple to Advanced Queries With:

Calculating Sum, Sumif, Sumifs functions
Working with Average, Averageif, Averageifs functions
Counting with Count, Countif, Countifs Functions
Analyzing Max, min, Large, Small, Rank Values

b) Working with Complex Queries With:

DSUM
DAverage
DCount
DMax
DMin

Lesson 5: Manipulating Dates, Times, and Text
a) Working with Text Functions

CONCATENATE(): Joining Strings of Text Together
LEFT(), MID(), and RIGHT(): Copying Portions of a Text String
UPPER(), LOWER(), and PROPER(): Changing Capitalization

b) Working with Date and Time Functions

TODAY() and NOW(): Inserting the Current Date and Time
DAY(), MONTH(), and YEAR(): More Date Calculations
WEEKDAY(): Determining the Day of the Week
DATEDIF(): Calculating the Difference Between Dates
DAYS360(): Finding Out the Number of Days Between Two Dates
YEARFRAC(): Calculating the Percentage of a Year Between Two Dates
WEEKNUM(): Figuring Out in Which Week a Date Falls

Lesson 6: Managing Workbooks

Arranging Multiple Workbooks
Adding Hyperlinks
Working with Comments
Saving Workbooks in Different Formats
Saving a Workbook as a Web Page
Creating Folders
E-Mailing a Workbook

Lesson 7: Grouping and Outlining Data

Basic Data Grouping
Creating a Group
Nesting Groups Within Groups
Summarizing Your Data
Combining Data from Multiple Tables
Grouping Timesavers
Auto Outline
Automatic Subtotalling

Lesson 8: Templates

Understanding Templates
Creating a New Workbook from a Template
Downloading Templates
Creating Templates
Understanding Custom Templates
Building a Custom Template
Sharing Templates with Others

Lesson 9: Reporting Data with pivot Table Tables

Preparing Summary
Formatting and Perfecting Pivot Tables
Working with Other Sources
Creating Pivot-Charts

METHODOLOGY

Discussion
Simulation
Self-Assessments
Group Presentations

Social Media Marketing
2026-08-04 09:00 - 2026-08-05 17:00
OVERVIEW
This programme provides participants with practical knowledge and skills to plan, create, manage, and evaluate social media marketing campaigns across major platforms such as Facebook, Instagram, TikTok, LinkedIn, and YouTube. Participants will learn content strategy, audience engagement, paid advertising, analytics, and current digital marketing trends to support business growth and brand awareness.

LEARNING OUTCOMES
Upon completion of this programme, participants will be able to:

Explain the fundamentals of social media marketing and its role in digital business.
Identify suitable social media platforms based on target audience and business objectives.
Develop an effective social media content strategy and content calendar.
Create engaging social media content using proven marketing techniques.
Plan and execute paid social media advertising campaigns.
Analyse social media performance using key metrics and analytics tools.
Apply best practices to increase audience engagement, brand awareness, and lead generation.

COURSE OUTLINE
Module 1: Introduction to Social Media Marketing

Digital marketing ecosystem
Role of social media in business growth
Overview of major social media platforms
Consumer behaviour in social media

Module 2: Social Media Strategy Development

Defining marketing objectives
Identifying target audiences
Competitor analysis
Building a social media strategy

Module 3: Content Planning and Creation

Content pillars and themes
Storytelling techniques
Copywriting for social media
Visual content and video marketing
Content calendar development

Module 4: Platform-Specific Marketing

Facebook marketing
Instagram marketing
TikTok marketing
LinkedIn marketing
YouTube marketing

Module 5: Social Media Advertising

Introduction to paid advertising
Campaign objectives and targeting
Budget planning
Ad creation and optimisation
Measuring advertising effectiveness

Module 6: Social Media Analytics

Key performance indicators (KPIs)
Reach, engagement, impressions, and conversions
Social media analytics tools
Campaign performance reporting

Module 7: Trends and Best Practices

Influencer marketing
Community management
Social commerce
AI tools for social media marketing
Emerging trends and future opportunities

METHODOLOGY
The programme adopts a practical and interactive learning approach through:

Interactive lectures and discussions
Case studies and real-world examples
Hands-on activities and exercises
Group discussions and collaborative learning
Social media campaign development workshop
Practical assignments and presentations
Trainer feedback and coaching sessions

Customer Engagement & Experience
2026-08-04 09:00 - 2026-08-05 17:00
OVERVIEW
Customer service training is the training and upskilling of customer service employees to improve the support they can provide and thereby increase customer satisfaction. It is an ongoing, continuous process of growth throughout an employee’s time working in customer service. It is essential for organizations because it train employees the proper techniques and best practices to deal with customers. Training customer service team members allows them to communicate with customers effectively, handle escalating problems, and successfully solve them.

LEARNING OUTCOMES
After completing this training, participants should be able to:

Use a customer-focused approach to serve every customer
Recognize the importance of customer service
Identify the values required for excelling in customer service
Learn to be a proactive listener and gauge the understanding of customers
Interact with every customer using positive language
Ask the right questions and understand their need effectively
Use body language to showcase professionalism
Minimise complaints from customers and focus on customer satisfaction
Improve customer satisfaction and customer loyalty

COURSE OUTLINE
MODULES
This training encompasses the following modules:
Module 1: Know Your Customer

Know your customer
Understand the requirement of the customer
Set the foundation of customer service principles
Learn the Pillars of customer service
Create a professional approach towards the customer to define the experience

Module 2: Customer Awareness & creating a professional approach

Understanding customer expectations
Create a successful interaction with the customer
Use conversational language to your advantage
Building consistent customer focus
Professional customer interaction
Identify your potential growth areas

Module 3: Set S.M.A.R.T Goals in Customer Service

Take the first step towards creating the vision and setting goals
How to create strategic S.M.A.R.T goals?
Self-assessment in customer-facing skills
Set goals and benchmarks for yourself
Achieving Goals – The Bridge Model

Module 4: Build on Listening Ability

Create empathy with the customer and work towards listening skills
The crucial role of active listening
Understand the different levels of listening
The components of good listening
Conflict Management – The Best Approach

Module 5: Communicate Effectively

Create importance of Communication as a two-way medium
Work towards building the skill for communicating effectively
Types of Communication
The advantages of communication
Filters to Communication
Barriers to communication and working towards overcoming them

Module 6: Understand the customer language and build relationships

Importance of non-verbal communication
Learn the right body language to interact with customers
Create a positive first impression
Create positive energy when interacting
Learn the use of the right gestures, actions, and styles of body language

Module 7: Identify the customer needs and different kinds of customers

Understand your customer’s needs
Types of Customers
Enhance the Customer Service Experience
How can you customise your interaction?
Systematic Probing and Creative Questioning
Recognize the different customer behaviours

Module 8: Know your customer’s profile

Know your customer’s profile
Understand and learn different types of customer’s profile
Identify the way to satisfy customers
Flex your conversations to match customer’s needs and wants

Module 9: Learn the Complaint Resolution Structure

Complaint resolution is critical to understand
Categories of complaints
Create a structure to deal with conflicts and complaints
Complaint and conflict resolutions – Case Studies

Module 10: Build your brand value

Building your brand value
Create trust, respect and loyalty
How to go above and exceed your customer’s expectation

METHODOLOGY

Interactive lectures
Group discussions
Group presentations
Role play
Games

AI Driven SEO & SEM Development Program
2026-08-05 09:00 - 2026-08-06 17:00
OVERVIEW
This intensive 3‑day program equips mid‑level digital marketers with advanced AI techniques for Search Engine Optimization (SEO) and Search Engine Marketing (SEM). Attendees will master AI‑powered keyword intelligence, E‑E‑A‑T‑aligned content creation, smart bidding, and predictive analytics. The course blends strategic theory with hands‑on labs, ensuring participants leave ready to deploy AI for search dominance today—while future‑proofing for Search Generative Experience (SGE) and conversational search.

LEARNING OUTCOMES
By the end of this training, participants will be able to:

Deploy AI tools for exhaustive keyword discovery, intent mapping, and competitive gap analysis.
Create and audit E‑E‑A‑T‑compliant content using large language models (LLMs) and semantic SEO techniques.
Build, automate, and optimize SEM campaigns with AI‑driven bidding, targeting, and asset generation.
Interpret AI‑generated SEO/SEM insights to boost ROI and lower cost‑per‑acquisition (CPA).
Integrate search data with social, email, and content marketing for a unified growth strategy.
Adapt to emerging trends such as SGE, multimodal search, and AI‑driven personalization—while upholding ethical and regulatory standards.

COURSE OUTLINE
Day 1: Foundations & AI Tools for SEO/SEM

AI in Modern Search Marketing

Evolution from keyword stuffing to AI‑driven relevance (RankBrain → BERT → MUM → Gemini)
Impact on SEO & paid search workflows
Key AI concepts: NLP, vector search, reinforcement learning

AI Tool Landscape

Keyword & topic research: Semrush, Ahrefs, KeywordInsights, SurferSEO, Clearscope
Competitive intel: Similarweb, SparkToro, BuzzSumo + ChatGPT plug‑ins
Technical SEO scanners: ScreamingFrog ➔ GPT blueprinting, ContentKing real‑time audits

AI‑Powered Keyword Intelligence

Long‑tail & entity discovery with NLP algorithms
Search‑intent clustering (informational, transactional, etc.) using GPT
Building pillar‑cluster maps and topical authority models

Search Engine Algorithm Insights

Deep‑dive into E‑E‑A‑T signals & content quality scoring
Understanding SERP feature triggers (People Also Ask, featured snippets, video packs)
AI simulation of ranking shifts & volatility forecasting

Competitive Gap & Trend Forecasting

AI SWOT for domain vs. competitors
Exploding Topics + Google Trends + ChatGPT mashups for opportunity spotting
Seasonality prediction & content calendar auto‑generation

Technical SEO Essentials (AI‑Augmented)

Core Web Vitals monitoring with AI alerts
Schema markup generation via ChatGPT
Automated internal‑linking suggestions & orphan‑page detection

Hands‑On Lab

Build a keyword cluster and technical SEO audit for a sample site using Semrush + ChatGPT.

Day 2: AI Content Creation & SEM Campaign Execution

SEO Content Strategy with AI

Aligning content pillars to buyer journey & E‑E‑A‑T
Prompt‑engineering templates for blogs, product pages, FAQs
Semantic SEO & entity optimization with MarketMuse / Surfer NLP

AI Content Generation & Governance

Tools: Jasper, Outranking, Gemini, Claude
Fact‑checking & hallucination mitigation workflows
Multimodal assets—imagery (DALL·E, Midjourney) & alt‑text generation

Link Building & Digital PR Automation

AI prospecting for high‑authority backlinks
Outreach sequence generation (Hunter + Lemlist + GPT)
Citation management for Local SEO (BrightLocal + ChatGPT)

AI‑Powered SEM Setup & Automation

Account restructuring with Google Ads Recommendations API
Smart Bidding vs Maximize Conversion Value vs Target ROAS—when which?
Creating audience signals from GA4 predictive segments

Dynamic Ad & Landing‑Page Personalization

Responsive Search Ads: headline/description variants via GPT
Performance Max asset generation & image suggestions
AI landing‑page builders (Unbounce Smart Copy, Instapage Thor Render)

SEO/SEM Integration & Cross‑Channel Synergy

Shared keyword data lake for organic & paid teams
Retargeting search visitors on social with AI‑crafted creatives
Attribution modeling: data‑driven vs last‑click vs GPT‑assisted narrative

Hands‑On Lab

Build and launch a Performance Max campaign with AI‑generated assets & set up automated rules.

METHODOLOGY

Expert‑led demos: live walkthroughs of AI platforms and plugins.
Hands‑on workshops & labs each day for practical skill‑building.
Collaborative problem‑solving via group challenges and peer reviews.
Real‑world case studies dissecting successful AI search campaigns.
Assignments & templates to apply AI workflows in participants’ own projects.
Continuous Q&A and personalised coaching throughout the program.

CYBER SECURITY BUILDING HUMAN FIREWALL
2026-08-05 09:00 - 2026-08-06 17:00
OVERVIEW
Cybersecurity threats continue to grow in frequency and sophistication, with many successful attacks targeting people rather than technology. Employees are often the first line of defence against phishing, social engineering, ransomware, data breaches and other cyber risks.
This two-day programme is designed to build a strong Human Firewall within the organisation by increasing cybersecurity awareness, promoting secure digital behaviour, and equipping participants with practical skills to identify, prevent and respond to cyber threats. Through interactive discussions, case studies, simulations and hands-on exercises, participants will gain the knowledge and confidence required to protect organisational information assets and contribute to a stronger cybersecurity culture.

LEARNING OUTCOMES
Upon completion of this programme, participants will be able to:

Understand fundamental cybersecurity concepts and current cyber threat trends.
Identify common cyber attacks, including phishing, malware, ransomware, and social engineering.
Recognise suspicious emails, websites, links, and online activities.
Apply cybersecurity best practices when handling organisational information and digital assets.
Strengthen password management and authentication practices.
Protect sensitive and confidential data from unauthorised access and disclosure.
Respond appropriately to cybersecurity incidents and security breaches.
Contribute to building a cyber-aware and security-conscious workplace culture.

COURSE OUTLINE
DAY 1: Cybersecurity Awareness & Threat Identification
Module 1: Introduction to Cybersecurity

Understanding cybersecurity fundamentals
The importance of human factors in security
Current cyber threat landscape
Cybersecurity trends and organisational risks
Consequences of cyber incidents and breaches

Module 2: Understanding Common Cyber Threats

Malware, viruses, worms and trojans
Ransomware attacks and business disruption
Business Email Compromise (BEC)
Insider threats and accidental exposure
Data breaches and information theft

Module 3: Social Engineering Attacks

What social engineering means in daily work
Psychological manipulation techniques used by attackers
Phishing, spear phishing and whaling
Vishing (voice phishing) and smishing (SMS phishing)
Real-world attack case studies and lessons learned

Module 4: Phishing Detection Workshop

Identifying phishing emails and suspicious attachments
Recognising fake websites and login pages
URL inspection and link verification techniques
Safe browsing practices for work and personal devices
Practical phishing simulation exercises

Module 5: Cybersecurity Best Practices

Safe internet usage and digital hygiene
Email security guidelines
Secure use of social media and messaging platforms
Mobile device security
Remote working security practices

DAY 2: Data Protection, Incident Response & Human Firewall Culture
Module 6: Password Security & Access Control

Common password vulnerabilities and risky habits
Creating strong and memorable passwords
Using password managers securely
Multi-factor authentication (MFA)
Access control principles and least privilege

Module 7: Data Protection & Information Security

Understanding sensitive and confidential information
Data classification and proper handling
Personal Data Protection Act (PDPA) awareness
Secure file sharing, storage and disposal
Data loss prevention practices

Module 8: Incident Response for Employees

Recognising security incidents and warning signs
Reporting procedures and communication channels
Immediate response actions for employees
Escalation process and evidence preservation
Lessons learned from cyber incidents

Module 9: Building a Human Firewall Culture

Security awareness responsibilities
Creating a cyber-aware workplace
Security habits and behaviour at work
Managing cyber risks in daily operations
Leadership and employee roles in cybersecurity

Module 10: Cybersecurity Simulation & Action Planning

Cyber attack scenario exercise
Team-based threat response activities
Knowledge assessment and review
Personal cybersecurity action plan development
Course review, discussion and commitment to action

METHODOLOGY

Interactive Lectures (30%): facilitator-led presentations, group discussions and knowledge sharing sessions
Case Studies (20%): analysis of real cyber incidents, lessons learned and best practice discussions
Practical Exercises (20%): phishing detection activities, password security exercises and cyber risk identification
Simulations & Role Plays (20%): social engineering simulations, incident response scenarios and team-based challenges
Assessment & Reflection (10%): knowledge quizzes, group presentations and individual action planning

FINANCE FOR NON-FINANCE : Financial Literacy for Non-Finance Managers
2026-08-11 09:00 - 2026-08-12 17:00
OVERVIEW
Finance plays a pivotal role in every organization, and it’s essential for non-finance managers to have a solid grasp of financial concepts and practices. This two-day training module is designed to provide non-finance professionals with the knowledge and skills necessary to understand and contribute effectively to their organization’s financial decision-making processes. Participants will gain confidence in interpreting financial data, making informed financial decisions, and communicating financial information within their teams.

LEARNING OUTCOMES
By the end of this training module, participants will be able to:

Understand the fundamentals of finance, including financial statements, key financial ratios, and budgeting.
Analyze financial data to assess the financial health and performance of their department or organization.
Make informed financial decisions that align with organizational goals and strategies.
Communicate financial information effectively to stakeholders and colleagues.
Develop a basic understanding of financial planning and forecasting.
Identify potential financial risks and take appropriate actions to mitigate them.

COURSE OUTLINE
Module 1: Introduction to Basic Finance and Accounting

Understand the definition of Asset, Liability, Equity, Expenses and Income.
Able to differentiate each item into different classes.
Interpreting the function of each item in a situation-based problem.
Able to compare types of business entities in Malaysia.

Module 2: Accounting Process

Show the process of recording a company’s financial transaction.
Involves analyzing, summarizing and reporting finance and oversight agencies.
Understand the definition on accounting equation and the usage for executives.

Module 3: Financial Statements

Overview of the income statement, balance sheet, and cash flow statement.
Interpreting financial statements.
Common financial metrics and ratios.

Module 4: Financial Communication

Effective communication of financial information.
Presenting financial data to non-finance stakeholders.
Building financial literacy within your team and understanding the vision and mission of your company in terms of finance.

Module 5: Pricing Strategy

Learn the definition of 7 types of pricing strategies.
Able to differentiate the pricing strategies based on products.

Module 6: Practical Exercises and Case Studies

Group discussions and case studies on real-world financial scenarios.
Hands-on budgeting and financial analysis exercises.
Q&A sessions and open discussions.

METHODOLOGY

Slides
Handouts (Pre-test and post-test, definition sheets, notes)
Group Activity

Using physical games for understanding the reasons behind the computation learnt
Flash cards
Presentation on mock business

Mastering Generative Ai for Content Creation
2026-08-12 09:00 - 2026-08-13 17:00
OVERVIEW
This 2 days hands on training introduces participants to the power and practicality of Generative AI tools in the content creation process. Business owners, marketers and content professionals will learn how to use generative AI effectively to create text, visual and video content faster and more creatively. The course focuses on real world applications, practical skills, and ethical considerations to ensure AI is used responsibly while supporting marketing goals.

LEARNING OUTCOMES

Adapt the fundamentals and potential of Generative AI in content marketing
Apply AI tools to generate captions, headlines, blogs and email content
Create high impact visuals and posters using AI platforms
Plan effective prompts that guide AI output accurately
Produce and edit short form videos using AI assisted tools
Plan creative workflows and improve content turnaround time

Recognize ethical concerns and future developments in AI use

COURSE OUTLINE
INTRODUCTION TO GENERATIVE AI IN CONTENT MARKETING

What is Generative AI and how does it work?
The evolution of content creation: Before and after AI

THE POWER OF AI FOR CREATIVE WORKFLOWS

Mapping your current content creation workflow
Using AI for ideas and brainstorming content topics

PROMPLIT: HOW TO COMMUNICATE EFFECTIVELY WITH GEN AI

The art and science of prompt engineering
Core components of an effective prompt

CRAFTING CAPTIONS, HEADLINES, AND VIDEO SCRIPT WITH GEN AI

Crafting engaging social media captions tailored to different platforms
Writing compelling video scripts

ETHICAL USE AND FUTURE TRENDS IN AI CONTENT CREATION

Navigating copyright and plagiarism in the age of AI
The importance of transparency and disclosing AI use to your audience

VISUALS AND POSTERS CONTENT WITH GEN AI

Introduction to AI image generation models
Designing marketing collateral

GENERATING VIDEOS WITH AI

The landscape of AI video generation tools
Using AI for video editing

METHODOLOGY

Lecture
Hands-on Activities
Case Studies
Q&A Sessions
Hands-on Activities

Presentation With Impact (Effective Presentation Skills)
2026-08-12 09:00 - 2026-08-13 17:00

AI for Professional - Boosting Productivity Through AI
2026-08-18 09:00 - 2026-08-19 17:00
OVERVIEW
This course is designed to equip professionals with practical skills in using Generative Artificial Intelligence (AI) tools to enhance daily work productivity. Participants will be introduced to widely used AI platforms such as ChatGPT, Gemini, and similar tools, with a focus on real-world workplace applications. The training emphasizes responsible and ethical AI usage while enabling participants to automate routine tasks, improve communication, support decision-making, and streamline document creation. By the end of the programme, participants will be able to confidently integrate AI into their professional workflows in an effective and ethical manner.

LEARNING OUTCOMES
Upon completion of this course, participants will be able to:

Understand the fundamentals of Generative AI and its role in modern workplaces.
Apply basic prompt engineering techniques to obtain accurate and useful AI outputs.
Use AI tools to improve writing, communication, and document preparation.
Support planning, analysis, and decision-making using AI-assisted methods.
Enhance personal productivity through AI-powered task management and content creation.
Apply ethical, responsible, and safe practices when using AI tools.

COURSE OUTLINE
DAY 1: Foundations & Writing with AI
Module 1: Introduction to Generative AI

Overview of Artificial Intelligence and Generative AI
Common AI tools used in professional environments
Practical examples of AI applications at work

Module 2: Prompt Engineering Basics

Principles of effective prompting
Role, Task, and Format (R-T-F) prompt framework
Hands-on prompt writing exercises

Module 3: AI for Writing and Communication

Drafting professional emails and messages
Improving tone, clarity, and structure
Creating response templates and communication drafts

Module 4: AI for Document Creation

Generating reports, SOPs, checklists, and proposals
Creating outlines, summaries, and structured documents
Editing and refining AI-generated content

Module 5: Ethical and Responsible Use of AI

Understanding AI limitations and potential risks
Recognizing bias and ensuring accuracy
Fact-checking and responsible AI practices

DAY 2: Productivity Tools & Practical Use
Module 6: Planning and Organizing with AI

Brainstorming ideas and action steps
Creating schedules, task lists, and work plans
Event and project planning using AI

Module 7: Summarizing and Decision Support

Summarizing long texts and documents
Comparing options and identifying pros and cons
Supporting quick analysis and decision-making

Module 8: Creating Visuals and Content Ideas

Generating captions, headlines, and content outlines
Developing ideas for basic visual content
Using AI to support presentations and simple designs

Module 9: Personal Productivity with AI

Daily task planning and prioritization
Journaling, reflections, and habit tracking
Using AI for reminders and self-organization

Module 10: Final Wrap-Up and Practical Application

Recap of tools and key learning points
Sharing practical use cases
Guidance on continued learning and AI adoption

METHODOLOGY

Instructor-led lectures to introduce key concepts, frameworks, and best practices.
Guided demonstrations to showcase the use of AI tools and techniques.
Hands-on exercises to provide practical experience using AI tools in workplace-related scenarios.
Group discussions to encourage knowledge sharing, idea exchange, and peer learning.
Case studies and scenario-based activities to strengthen problem-solving and critical-thinking skills.
Interactive learning sessions to promote participant engagement and active participation.
Continuous guidance and feedback from the trainer to support understanding and skill development.
Practical application activities to help participants apply newly acquired knowledge in their work environment.

GENERATIVE AI & PROMPT NGINEERING
2026-08-18 09:00 - 2026-08-19 17:00
OVERVIEW
This two-day workshop provides a comprehensive introduction to the exciting world of Generative Artificial Intelligence (GenAI) and the crucial skill of Prompt Engineering. Participants will gain a foundational understanding of how GenAI models work, explore the capabilities of leading platforms like ChatGPT and Google Gemini, and learn practical techniques for crafting effective prompts to generate high-quality outputs.
Furthermore, the workshop will delve into creative applications using tools like OpenArt.ai and InVideo.io, and explore innovative presentation methods with Gamma.app. By the end of this workshop, participants will be equipped with the knowledge and hands-on experience to leverage GenAI tools for enhanced productivity, creativity, and innovation within their professional roles, while also understanding the ethical considerations associated with their use.

LEARNING OUTCOMES

A strong foundational understanding of Generative AI and Large Language Models.
Practical skills in prompt engineering for effective interaction with ChatGPT and Google Gemini.
Awareness of the ethical implications and best practices for responsible AI usage.
Exposure to creative GenAI tools like OpenArt.ai and InVideo.io.
Knowledge of using Gamma.app for innovative content presentation.
Confidence to explore and integrate Generative AI tools into their workflows.
A portfolio of basic prompts and generated content from the hands-on activities.

COURSE OUTLINE
SECTION 1: GenAI & ChatGPT
Module 1: Understanding Generative AI
Objective: Build foundational knowledge about Generative AI and its capabilities.
Topics:

What is Generative AI? (Definition and Core Concepts)

Key Features:

Text and Image Generation
Multimodal Capabilities

How Generative AI Works:

Data Gathering
Model Training
Content Generation

Real-World Applications:

Content Creation
Chatbots and Assistants
Scientific Research

Interactive Activity:

Discuss and brainstorm potential applications of GenAI in your company’s business operations

Module 2: Introduction to ChatGPT
Objective: Provide an overview of ChatGPT and its practical uses.
Topics:

What is ChatGPT? (Capabilities and Limitations)

Key Features:

Natural Language Understanding
Contextual Responses
Task Accomplishment

Prompt Engineering Basics:

RTF (Role, Task, Format)
CTF Contextual Responses
Mega Prompts vs. Prompt Chaining

Hands-On Activity:

Write a structured prompt using RTF and get responses using ChatGPT

Module 3: Practical Applications of ChatGPT
Objective: Demonstrate how to apply ChatGPT for real-world scenarios.
Topics:
Using ChatGPT for:

Customer Service Automation
Marketing Content Creation
Internal Communication

Interacting Effectively with ChatGPT:

Managing Context
Error Handling

Hands-On Activity:
Role-Play Scenarios:

Customer Inquiry Handling
Drafting a Marketing Email
Summarizing Meeting Notes

Module 4: Advanced Techniques and Ethical Use
Objective: Explore advanced ChatGPT techniques and discuss ethical considerations.
Topics:
Advanced Features:

Controlling Response Length
Using System Instructions
Sentiment Analysis

Ethical Considerations:

Bias Mitigation
Data Privacy
Transparency in Outputs

Interactive Discussion:

Challenges and opportunities in using AI responsibly within your company

SECTION 2: INTRODUCTION TO LARGE LANGUAGE MODELS AND GOOGLE GEMINI
Module 1: Understanding Large Language Models
Objective: Build foundational knowledge of Large Language Models (LLMs) and their applications.
Topics:

What are Large Language Models (LLMs)?

Definition and Key Features:

How LLMs Generate Responses

Applications of LLMs:

Advanced Chatbots
Automated Content Writing
Virtual Assistants

Benefits of Using LLMs:

Time-Saving
Enhanced Productivity
Reliable Information

Interactive Activity:

Discuss and brainstorm potential applications of GenAI in your company’s business operations

Module 2: Introduction to Google Gemini
Objective: Introduce participants to Google Gemini’s capabilities and explore its use cases.
Topics:

What is Google Gemini?
Overview and Core Feature
Capabilities: Text Generation, Creative Content, Multimodal Operations

How Google Gemini Works:

Data Training
Contextual Understanding
Answer Generation

Prompt Engineering Basics:

RTF (Role, Task, Format)
CTF (Context, Task, Format)

Hands-On Activity: Engineering Basics:

Practice creating prompts using RTF and CTF to generate different outputs with Google Gemini

Module 3: Ethical Considerations and Responsible Use
Objective: Discuss the ethical implications of using LLMs like Google Gemini and foster responsible AI use.
Topics:

Addressing Biases in LLMs
Data Diversity
Algorithmic Improvements

Ensuring Responsible Use:

Privacy and Data Security
Transparency and Accountability

Legal and Ethical Considerations:

Regulatory Compliance
Ethical AI Development

Interactive Discussion:

Explore challenges and strategies for ethical AI implementation in your company

SECTION 3: EXPLORING OPENART.AI, INVIDEO.IO, AND GAMMA.APP
Module 1: Introduction to OpenArt.ai
Objective: Understand the capabilities of OpenArt.ai and its applications in creative workflows.
Topics:

What is OpenArt.ai?
Overview and Features
Generating AI-Driven Artwork

Use Cases:

Digital Marketing and Branding
Creative Design Projects
Content Personalization

Hands-On Demonstration:

Generating Artworks Based on Specific Themes
Exploring Customization Options

Activity:

Participants create an AI-generated artwork for a marketing campaign or personal project

Module 2: Introduction to InVideo.io
Objective: Learn how to leverage InVideo.io for video creation and editing.
Topics:

What is InVideo.io?
Overview and Features
Pre-Built Templates and AI-Assisted Video Creation AI-Driven Artwork

Applications:

Social Media Marketing
Business Presentations
Video Ads and Tutorials

Hands-On Demonstration:

Creating a Short Promotional Video Using Templates
Customizing Text, Images, and Music

Activity:

Participants create a 30-second promotional video for a product or service.

Module 3: Introduction to Gamma.app
Objective: Explore Gamma.app’s capabilities for storytelling, presentation, and document creation.
Topics:

What is Gamma.app?
Overview and Features
AI-Powered Presentation and Content Structuring

Use Cases:

What is Gamma.app?

Overview and Features:

Creating Visually Appealing Presentations
Collaborative Content Creation
Interactive Storytelling

Hands-On Demonstration:

Designing a Slide Deck Using Gamma.app
Enhancing Presentations with AI-Suggested Content

Activity:

Participants design a 5-slide presentation for a business proposal.

METHODOLOGY

Interactive Lectures
Demos
Hands-On Exercises
Practical Exercises
Q&A and Feedback

Business Process Improvement (Lean Basics)
2026-08-19 09:00 - 2026-08-20 17:00
OVERVIEW
This programme introduces participants to the fundamental principles of Lean and Business Process Improvement (BPI). Participants will learn how to identify inefficiencies, eliminate waste, streamline workflows, and improve operational performance. The course focuses on practical Lean concepts and tools that can be applied across various business functions to increase productivity, reduce costs, improve quality, and enhance customer satisfaction.

LEARNING OUTCOMES
Upon completion of this programme, participants will be able to:

Explain the fundamental concepts and principles of Lean.
Identify different types of waste within business processes.
Analyse existing work processes to determine improvement opportunities.
Apply basic Lean tools and techniques to improve operational efficiency.
Develop simple process improvement initiatives within their work area.
Contribute to continuous improvement efforts within the organisation.

COURSE OUTLINE
Module 1: Introduction to Lean and Business Process Improvement

Overview of Lean principles
Understanding value from the customer’s perspective
Introduction to continuous improvement
Benefits of Lean implementation

Module 2: Understanding Waste in Business Processes

The 8 Wastes (DOWNTIME)
Identifying value-added and non-value-added activities
Recognising process inefficiencies

Module 3: Process Mapping and Analysis

Introduction to process mapping
Creating simple process flowcharts
Identifying bottlenecks and process gaps
Analysing workflow effectiveness

Module 4: Lean Improvement Tools

5S Workplace Organisation
Root Cause Analysis
Fishbone Diagram
5 Whys Technique
Basic Problem-Solving Methods

Module 5: Continuous Improvement Practices

Developing improvement ideas
Prioritising improvement opportunities
Monitoring improvement results
Building a culture of continuous improvement

Module 6: Practical Exercise and Case Study

Process improvement workshop
Group activity and discussion
Presentation of improvement recommendations
Trainer feedback and review

METHODOLOGY

Instructor-led presentations and discussions.
Interactive learning sessions with practical examples.
Process mapping exercises and workshops.
Individual and group activities.
Case studies based on workplace scenarios.
Hands-on application of Lean tools and techniques.
Group discussions and knowledge-sharing activities.
Continuous guidance and feedback from the trainer.
Action planning for workplace implementation.

Strategic Design & Web Presence with Canva AI Tools
2026-08-19 09:00 - 2026-08-20 17:00
OVERVIEW
This 2-day course is designed to equip participants with essential skills in graphicdesign using Canva, introduce AI-powered tools to speed up design workflows, andguide them in building interactive websites without any coding knowledge.Through hands-on sessions, participants will explore how to create compellingvisuals, leverage AI features for smart content generation, and launch their own webpages using Canva’s intuitive tools.

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

Understand and apply graphic design principles using Canva.
Utilize Canva AI tools to streamline visual creation and content writing.
Design and publish interactive websites using Canva.
Apply branding elements consistently across all designs.
Create and repurpose visual content for social media, web, and marketing use.

COURSE OUTLINE
DAY – 1:
CANVA FOR PROFESSIONAL DESIGN

Introduction to Canva & Canva Pro features
Understanding layout, fonts, and color theory
Designing posters, social media graphics, presentations
Infographic creation and branding consistency
Customizing templates for different industries

SMART DESIGN WITH CANVA AI

Overview of Canva AI (Magic Write, Magic Design, Magic Edit)
Content generation with AI
Photo editing with AI: background remover, image enhancer
Using Brand Kit & Smart Mockups

DAY – 2:
WEBSITE DESIGN & CONTENT DEPLOYMENT

Introduction to Canva’s Website Builder
Planning layout and structure for websites
Adding navigation, buttons, and links
Creating web pages: Home, About, Contact, Portfolio
Live Demo: Publish & share website (with or without domain)

VISUAL CONTENT CREATION

Editing videos in Canva: transitions, animation, timing
Content writing tips for websites & social platforms
Final Project: Build a simple website + branding kit 2

METHODOLOGY

Lecture
Group Discussions
Case Studies
Q&A Sessions
Hands-on Activities
Project Discussion
Demonstration of Canva

Canva AI
2026-08-26 09:00 - 2026-08-27 17:00
OVERVIEW
This programme provides participants with practical knowledge and hands-onexperience in digital design, visual communication, website creation and AI-powered content development using Adobe Photoshop, Adobe Illustrator, Canva Website and Canva AI. The programme combines design principles, branding fundamentals and AI-assisted tools to help participants create professional-quality digital content for marketing, corporate communication, education and business applications more efficiently and effectively.

LEARNING OUTCOMES
Upon completion of this course, participants will be able to:

Understand fundamental design principles and apply them in visual
communication
Apply colour theory, typography, layout and composition techniques in design
projects
Use Adobe Photoshop and Adobe Illustrator for digital content and brand
assets
Design websites, marketing materials and promotional content using Canva
Leverage Canva AI features and effective prompts to generate creative assets
Produce digital outputs aligned with organisational and branding requirements

COURSE OUTLINE
DAY 1: Design Fundamentals, Photoshop & Illustrator Essentials
Module 1: Fundamental Design Principles

a) Introduction to graphic design and visual communication
b) Elements and principles of design for effective content creation
c) Design thinking fundamentals and creative problem-solving
d) Colour theory, colour psychology and branding applications
e) Typography, font pairing, visual hierarchy, layout and composition
f) Branding essentials and consistency in corporate communication

Module 2: Adobe Photoshop Essentials

a) Workspace, interface overview, layers and core tools
b) Photo correction, enhancement, retouching and image optimisation
c) Background removal techniques and image preparation
d) Designing social media graphics, posters, banners and digital advertisements
e) Exporting suitable file formats for digital platforms

Module 3: Adobe Illustrator Essentials

a) Understanding raster vs vector graphics and Illustrator workspace
b) Shape creation, manipulation and working with paths and objects
c) Pen tool techniques for vector artwork creation
d) Logo development concepts, icon creation and brand asset design
e) Preparing artwork for print and digital output

DAY 2: Canva Website, Canva AI & Content Creation Workflow
Module 4: Website Creation with Canva

a) Introduction to Canva Website capabilities and use cases
b) Website planning, page structure and content organisation
c) Homepage design, user-friendly layouts and visual consistency
d) Navigation setup, interactive elements and mobile-friendly design practices
e) Publishing, sharing, managing updates and revisions

Module 5: Canva AI for Content Creation

a) Understanding AI-powered design tools and benefits in content creation
b) Using Magic Design, Magic Write, AI image generation and AI-assisted presentations
c) Writing effective prompts for high-quality AI outputs
d) Refining AI-generated content for accuracy, tone and brand alignment
e) Streamlining marketing, communication, brainstorming and ideation workflows

DAY 3: Integrated Design Project (Optional / Customisable)
Module 6: Integrated Design Project

a) Practical design challenge combining design principles and creative tools
b) Creation of brand identity assets, marketing collateral and social media content
c) Development of website landing page and AI-assisted promotional materials
d) Presentation of completed projects to demonstrate applied learning
e) Facilitator feedback and improvement recommendations

METHODOLOGY

Interactive lectures introducing key concepts, tools, techniques and best practices
Live demonstrations of Adobe Photoshop, Adobe Illustrator, Canva Website and Canva AI features
Hands-on practical exercises using real-world design and content creation scenarios
Individual assignments, group activities and guided discussions
Case studies on branding, marketing, website design and AI-powered content creation
Project-based learning with presentation and feedback sessions
