Boost Productivity with Google AI Studio, Gemini, NotebookLM, & others

Artificial Intelligence is no longer just for IT teams. Today, HR and Administrative professionals can use AI to write better documents, summarise policies, manage information, create presentations, design content, and automate routine tasks.

This course introduces easy-to-use AI tools such as Gemini, Google AI Studio, NotebookLM, and others, focusing on practical office use cases. Participants will learn how to work faster, communicate more clearly, and reduce repetitive work, without coding or technical skills.

Course Aims

Upon completing the course, participants will feel confident using AI tools in daily office tasks, save time on emails, reports, policies, and meeting summaries. Improve document clarity and consistency, create professional HR materials faster. Understand AI limitations, risks, ethical boundaries, and apply AI safely in a workplace environment.

Who Should Attend - This course is designed for professionals involved in HR and administrative functions, including:

• HR officers, executives, and managers
• Talent acquisition and recruitment staff
• Learning & development (L&D) teams
• Payroll, admin, and office management staff
• HR business partners and people operations teams
• Department administrators and coordinators

Level & Delivery

• Beginner to Intermediate | No prior AI or technical background is required | No coding required.
• Duration - 2 days | Mode In-house | Methodology Instructor-led | Hands-on AI tools | Laptop or Tablet required.
• Min 5 pax - Max 16 | Hit Get Proposal for an in-house quote.

Customer service is at the heart of customer satisfaction, retention, and brand reputation. As customer expectations rise and service channels multiply (email, chat, social media, calls), Artificial Intelligence (AI) is becoming a critical enabler for delivering faster, more consistent, and more personalised customer experiences.

Advances in Generative AI, Large Language Models (LLMs), and conversational AI allow customer service teams to respond more efficiently, handle higher volumes, standardise service quality, and support agents in real time—without replacing the human touch. AI can assist across the entire customer service lifecycle, from inquiry handling and complaint resolution to knowledge management, reporting, and service improvement.

This course provides a practical, customer-service-focused introduction to AI. Participants will learn AI fundamentals, understand how different AI tools support service workflows, and gain hands-on experience using leading GenAI tools to improve response quality, speed, and professionalism—while maintaining empathy, ethics, and organisational standards.

Who Should Attend

This course is designed for professionals involved in customer-facing and service support roles, including:

• Customer service and support officers
• Call centre and contact centre staff
• Customer experience (CX) teams
• Helpdesk and service desk personnel
• Frontline supervisors and team leaders
• Operations and service quality managers
• Sales support and after-sales service teams

No prior AI or technical background is required.

Level: Beginner to Intermediate. No prior AI or technical background is required.

Delivery Mode: 2-days, In-house. Instructor-led, hands-on AI tools (no coding required).

Power Query • Copilot • Python Machine Learning • Predictive Analytics

Business Intelligence has evolved from static reporting to AI-powered decision intelligence. Organisations now require analytics that explain performance drivers, detect anomalies, predict future outcomes, and support confident decision-making.

This course provides an end-to-end, practical approach to building AI-driven BI solutions using Power BI, integrating Power Query Editor for AI-ready data preparation, Copilot for accelerated analytics, and Python-based machine learning (regression and classification) embedded directly within interactive dashboards.

Who Should Attend

This course is designed for:

• Business Intelligence and Data Analysts
• Power BI Developers and Advanced Users
• Business Analysts and Decision Support Teams
• Finance, Sales, Operations, and Strategy Professionals
• Data Scientists integrating ML outputs into BI
• Managers and leaders relying on data-driven insights

The business landscape in Sarawak is evolving, and so are the rules that govern it. With the Sarawak Labour Ordinance Amended 2024 and Immigration Rules now in effect, organisations must adapt swiftly or face costly consequences. Are you prepared to navigate the complexities of foreign worker employment, compliance risks, and updated labour regulations?

This 3-day intensive program equips business leaders, HR professionals, and project managers with the critical knowledge to mitigate risks, optimise workforce planning, and ensure full compliance—safeguarding your operations from legal pitfalls while maximising efficiency.

Don’t just react to change—lead it. Master the amendments, refine your strategies, and secure your business’s future in Sarawak’s dynamic regulatory environment.

Learning Methodology

The program utilises an interactive and engaging learning methodology featuring group discussions, case studies, and a participant-centered approach to facilitate knowledge sharing, mastery of current legislation, and compliance with regulations enacted by the Sarawak Government.

The Excellence at the Front Office program is an intensive training designed to empower front office professionals with the skills and knowledge necessary to excel in delivering exceptional guest experiences. Participants will learn the critical aspects of front desk operations, focusing on areas such as guest engagement, efficient communication, problem resolution, and operational workflows. This program emphasises a guest-centric approach, enhancing the ability to manage reservations, streamline the check-in/out process, and ensure personalised service. Practical sessions, role-plays, and case studies are incorporated to provide hands-on experience in creating memorable guest interactions that foster loyalty and repeat business.

Participants will also delve into strategies for continuous service improvement, team collaboration, and managing guest complaints, ensuring that front office teams are equipped to handle the demands of modern hospitality with confidence and professionalism.

In-house Option: This program can be delivered in four sessions (3.5 hours each) spread over two weeks to accommodate shift staff. Click Get Proposal to request for a tailored version of the training and customise the content to fit your team's specific needs. 

In today’s competitive manufacturing environment, success depends not only on advanced technology and efficient processes but also on strong, effective leadership at all levels. Leaders on the shop floor are the driving force behind team performance, safety, quality, productivity and employees engagement.

This training program is designed to equip production leaders (Managers / Supervisors / Team Leaders) with the practical leadership skills needed to build high performance manufacturing teams. Participants will learn how to lead by example, communicate effectively, motivate and develop their teams, solve problem efficiently and drive operational excellence.

Through a combination of real-world manufacturing case studies, interactive exercises, role play and action planning, participants will gain actionable insights to translate leadership knowledge into tangible results on the shop floor. Leaders will be able to create disciplined, engaged and high performing teams that consistently meet Safety, Quality, Delivery, Cost and Productivity targets, while fostering a culture of Continuous Improvement and Accountability.

This training is ideal for organization aiming to strengthen their leadership pipeline, improve operational performance and sustain competitive advantages in the manufacturing industry. 

The topics are fully customizable to reflect industry-specific operational requirements. Outlined below are the key subject areas to be covered across both days. 

Delivery

• Day 1 Building Strong Manufacturing Leaders.
• Day 2 Driving Performance and Sustaining Results.
• Mode In-house | Max 16 pax | HRD Corp Claimable
• Methodology Instructor-led | Hit Get Proposal for an in-house quote.

Healthcare systems worldwide are under increasing pressure to deliver better patient outcomes, higher operational efficiency, cost control, and regulatory compliance, while managing growing data volumes and workforce shortages. Artificial Intelligence (AI) is emerging as a powerful enabler to support healthcare organisations across clinical support, operations, research, administration, and strategic planning.

Advances in Machine Learning, Large Language Models (LLMs), and Generative AI have expanded AI adoption beyond data scientists and clinicians. Today, healthcare professionals, administrators, analysts, and leaders can directly use AI tools to summarise medical literature, analyse operational data, improve patient communication, support reporting, and enhance decision-making.

This course provides a practical, business-focused introduction to AI for healthcare professionals. Participants will learn AI fundamentals, understand how AI technologies interconnect, and gain hands-on experience with leading AI tools such as ChatGPT, Gemini, Copilot, Perplexity, Grok, Claude, Manus, DeepSeek, Qwen, and NotebookLM. The emphasis is on responsible, ethical, and compliant use of AI, real healthcare use cases, and measurable productivity improvements, without involving medical diagnosis or requiring programming skills.

Who Should Attend

This course is designed for working professionals in healthcare-related environments, including:

• Healthcare administrators and managers
• Hospital operations and quality teams
• Health information management professionals
• Public health and healthcare analysts
• Medical research and clinical support staff
• Health insurance and payer organisations
• Digital health and transformation teams
• Healthcare leaders and decision-makers

This course is not intended for clinical diagnosis or treatment decision-making. No prior AI or technical background is required.

Level: Beginner to Intermediate. No prior AI or technical background is required.

Delivery Mode: 2-days, In-house. Instructor-led, hands-on AI tools (no coding required).

In today’s rapidly changing and highly competitive business environment, manufacturing organization are constantly challenged by market volatility, fluctuating demand, rising costs and increasing customer expectations. Traditional efficiency-driven approach are no longer sufficient to ensure sustainable performance and competitiveness.

This training program is designed to equip participants with practical knowledge, proven frameworks and hands on tools to build stable, flexible and resilient operations. The program focuses on how lean principles and operational excellence practices can be strategically applied to reduce waste, control costs, improve productivity and respond effectively to market uncertainty.

Through real industry examples, interactive discussions and practical exercises, participants will learn how to align operational processes with business objectives, strengthen problem solving capabilities and foster a culture of continuous improvement. The training emphasizes organization to sustain operational excellence even in unpredictable and challenging market conditions. 

The topics are fully customizable to reflect industry-specific operational requirements. Outlined below are the key subject areas to be covered across both days: 

Delivery

• Day 1 Lean Foundation and Stability in a Volatile Environment.
• Day 2 Operational Excellence Execution and Sustainable Results.
• Mode In-house | Max 16 pax | HRD Corp Claimable
• Methodology Instructor-led | Hit Get Proposal for an in-house quote.

Human Resources and Administration functions are evolving rapidly as organisations face increasing complexity in workforce management, compliance, documentation, and employee experience. Artificial Intelligence (AI) is emerging as a powerful enabler to help and administrative teams work more efficiently, consistently, and strategically—while preserving human judgment, empathy, and confidentiality.

Advances in Generative AI and Large Language Models (LLMs) allow HR professionals to streamline recruitment documentation, improve internal communication, support policy development, enhance employee engagement, and reduce repetitive administrative workload. However, AI adoption in HR requires careful consideration of ethics, bias, data privacy, and organisational governance.

This course provides a practical, HR- and administration-focused introduction to AI. Participants will learn AI fundamentals, explore how different AI tools support HR and admin workflows, and gain hands-on experience applying AI to real workplace scenarios. The emphasis is on practical productivity gains, responsible usage, and immediate applicability, without requiring technical or programming skills.

Who Should Attend - This course is designed for professionals involved in HR and administrative functions, including:

• HR officers, executives, and managers
• Talent acquisition and recruitment staff
• Learning & development (L&D) teams
• Payroll, admin, and office management staff
• HR business partners and people operations teams
• Department administrators and coordinators

Level & Delivery

• Beginner to Intermediate | No prior AI or technical background is required | No coding required.
• Duration - 2 days | Mode In-house | Methodology Instructor-led | Hands-on AI tools | Laptop or Tablet required.
• Min 5 pax - Max 16 | Hit Get Proposal for an in-house quote.

Semiconductor assembly lines and other manufacturing industry supervisors operate in high-pressure environments where productivity, yield, cleanroom discipline and workforce control directly impact customer delivery and profitability. This programs equip supervisors with practical tools to stabilise output, reduce human-error-related yield loss, manage foreign workforce effectively and regain daily operational control. The focus is not theory but real shop floor application in Semiconductor and Manufacturing Industry environments.

Targeted Participants: 

• Semiconductor Assembly Supervisors
• Manufacturing Supervisors
• Line Leaders / Senior Operators
• Production Engineer transitioning to supervisor roles
• Shift Leaders

Suitable For: 

• Semiconductor subcon assembly plants
• Plant facing yield fluctuation
• Operations experiencing frequently line instability
• Operations which is running in Shift mode

Delivery

• Day 1 – Controlling Productivity & Shop Floor Stability
• Day 2 – Workforce Discipline, Foreign Workers & Leadership Control
• Mode In-house | Max 16 pax | HRD Corp Claimable
• Methodology Instructor-led | Hit Get Proposal for an in-house quote.

Understanding, Applying, and Strategically Adopting AI in Manufacturing Operations

Artificial Intelligence (AI) is becoming a core enabler of smart manufacturing, Industry 4.0, and digital transformation. Manufacturing organisations are increasingly using AI to improve production efficiency, quality control, predictive maintenance, supply chain visibility, energy optimisation, and decision-making.

The rise of Large Language Models (LLMs) and Generative AI has expanded AI adoption beyond engineers and data scientists. Today, production managers, quality teams, planners, and executives can directly use AI tools to analyse data, interpret reports, summarise machine logs, support root-cause analysis, and automate documentation.

However, AI adoption in manufacturing requires a clear understanding of AI capabilities and limitations, especially when AI is used to support safety-critical, operational, and compliance-related decisions.

This course provides a practical, business-oriented introduction to AI for manufacturing professionals. Participants will learn AI fundamentals, understand how AI technologies interconnect, and gain hands-on experience with leading AI tools such as ChatGPT, Gemini, Copilot, Perplexity, Grok, Claude, Manus, DeepSeek, Qwen, and NotebookLM. The focus is on real manufacturing use cases, responsible AI usage, and measurable productivity and operational improvement, without requiring programming skills.

Who will Benefit - This course is designed for working professionals in manufacturing and industrial environments, including:

• Manufacturing managers and supervisors
• Production, operations, and plant managers
• Quality assurance and quality control professionals
• Maintenance and reliability engineers
• Supply chain and planning teams
• Process engineers and industrial engineers
• Digital transformation and Industry 4.0 teams
• Manufacturing executives and decision-makers

Level & Delivery

• Beginner to Intermediate | No prior AI or technical background is required | No coding required.
• Duration - 2 days | Mode In-house | Methodology - Instructor-led | Hands-on AI tools | Laptop or Tablet required.
• Min 5 pax - Max 16 | Hit Get Proposal for an in-house quote.

Key Malaysian Case Laws to Discuss

• Nurul Atikah v Shopee (2022) Data access denial.
• Malindo Air Data Leak (2019) Third-party vendor responsibility.
• DBKL Ratepayer Breach (2021) Public sector data exposure.
• iPay88 Data Breach (2022) Incident handling and stakeholder communication.
• TNG Digital Sdn Bhd (2023) Consent and unfair processing.

Target Audience

The workplace is an opportunity setting for health promotion and for reaching a large part of the working population, including those individuals that are often difficult to reach, such as young men with lower social socioeconomic status. Nutrition interventions that involved counseling, education and on-site group activities have generally shown significant changes in employee sedentary and eating behavior, improving physical and mental health and a positive return on investment by reducing health care costs as well as overall absenteeism.

Nutrition training programs have been employed in the workplace using an appropriate training model and based on health-related priorities in various industries. The use of a health program in the workplace has been effective in increasing the consumption of fruits, vegetables, and whole grains. In addition, it improves some parameters of cardio metabolic risk factors.

Driving Smarter Campaigns, Content, and Customer Engagement with AI

Marketing is evolving rapidly as customer behaviour, digital channels, and data volumes increase. Artificial Intelligence (AI) is transforming how marketing teams understand customers, create content, optimise campaigns, and measure performance. When used effectively, AI enables marketers to work faster, personalise at scale, and make data-informed decisions, without losing creativity or brand authenticity.

Advances in Generative AI and Large Language Models (LLMs) allow marketers to generate content ideas, draft copy, analyse customer feedback, optimise messaging, and support campaign planning. At the same time, AI adoption raises important questions about originality, ethics, bias, and brand trust.

This course provides a practical, marketing-focused introduction to AI. Participants will learn AI fundamentals, explore how different AI tools support marketing workflows, and gain hands-on experience applying AI to real marketing tasks. The emphasis is on strategic value, creativity, responsible use, and immediate application, without requiring technical or programming skills.

Who will benefit - This course is designed for professionals involved in marketing and communications, including:

• Marketing executives and managers
• Digital and social media marketers
• Brand and communications teams
• Content creators and copywriters
• CRM, growth, and performance marketers
• Entrepreneurs and marketing consultants

Level & Delivery

• Beginner to Intermediate | No prior AI or technical background is required | No coding required.
• Duration - 2 days | Mode In-house | Methodology - Instructor-led | Hands-on AI tools | Laptop or Tablet required.
• Min 5 pax - Max 16 | Hit Get Proposal for an in-house quote.