Artificial Intelligence (AI) is no longer just for IT teams. Today, administrative professionals can use AI to write better documents, summarize policies, manage information, create presentations, design content, and automate routine tasks. This AI workshop is designed for Administrative Professionals who already understand basic AI principles and want to expand their practical toolset. The programme focuses on the effective use of current, business-ready AI tools to enhance productivity, improve documentation quality, streamline workflows, and support managerial and administrative decision-making. Beyond immediate efficiency gains, this programme also addresses future-proofing administrative practices by equipping participants with the skills and awareness needed to adapt to evolving AI-enabled work environments. Through hands-on exercises, participants will learn how to integrate AI responsibly and sustainably into daily operations—ensuring their roles, processes, and competencies remain relevant in an increasingly digital and automated workplace. Who Should Attend - 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.

Artificial Intelligence (AI) is becoming a foundational capability in finance and banking. Financial institutions are increasingly using AI to enhance risk management, fraud detection, financial analysis, customer engagement, reporting, and operational efficiency. With the rise of Large Language Models (LLMs) and Generative AI, finance professionals now have access to powerful tools that can analyse information, generate insights, and support decision-making at unprecedented speed. However, the finance and banking sector operates in a highly regulated environment, where data confidentiality, explainability, accountability, and ethical use are critical. AI systems must therefore be understood, governed, and applied responsibly, rather than used blindly. This course provides a practical, business-oriented introduction to AI for finance and banking professionals. Participants will learn core AI concepts, explore leading AI tools such as ChatGPT, Gemini, Copilot, Perplexity, Grok, Claude, Manus, DeepSeek, Qwen, and NotebookLM, and apply them hands-on to real financial workflows. The focus is on practical application, compliance awareness, productivity improvement, and strategic readiness, without requiring any programming background. Who Should Attend This course is designed for working adults and professionals, including: Banking and financial services professionals Finance managers, analysts, and executives Risk management, compliance, audit, and AML teams Credit, lending, and investment professionals Operations and customer service managers Digital transformation and innovation teams Business leaders responsible for AI adoption in finance Level: Beginner to Intermediate. No prior AI or technical background is requiredDelivery Mode: 2-days, In-house. Instructor-led, hands-on AI tools (no coding required)

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).

Sales organisations today operate in a highly competitive, data-rich, and fast-moving environment. Buyers are more informed, sales cycles are more complex, and sales teams are expected to deliver personalised engagement, accurate forecasting, and consistent performance. Artificial Intelligence (AI) is increasingly becoming a critical enabler in modern sales functions. Advances in Machine Learning, Large Language Models (LLMs), and Generative AI allow sales professionals to analyse customer data, identify opportunities, personalise outreach, support negotiations, and improve forecasting accuracy. With modern AI tools, sales representatives, managers, and leaders can automate repetitive tasks, generate insights, and focus more time on high-value selling activities. This course provides a practical, business-focused introduction to AI for sales 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 real sales use cases, ethical and responsible AI usage, and measurable revenue and productivity impact, without requiring programming skills. Who Should Attend This course is designed for working professionals involved in sales and revenue-generating roles, including: Sales executives and account managers Business development and key account teams Inside sales and sales support teams Sales operations and revenue analytics professionals Pre-sales and solution consultants Sales managers and team leaders Commercial and revenue leaders 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).

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).

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.

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

From AI & GenAI Foundations to Intelligent Workflow Automation   Artificial Intelligence (AI) and Generative AI (GenAI) are transforming how organizations operate, moving from manual, rule-based processes to intelligent, autonomous workflows. When combined with n8n, a powerful low-code automation platform, AI can be embedded directly into business processes to automate decisions, generate content, classify data, and orchestrate end-to-end operations across systems. This course provides a structured, practical learning journey starting from AI and GenAI fundamentals, progressing through GenAI tools and capabilities, and culminating in real-world, AI-powered workflow automation using n8n. Who Should Attend This course is suitable for: Business Analysts and Process Owners Operations, Finance, HR, and Admin Professionals IT Professionals and Automation Engineers Data and Digital Transformation Teams Entrepreneurs and Innovation Leaders Managers seeking AI-driven operational efficiency Course Aims The aim of this course is to enable professionals to move from AI awareness to AI-powered action, equipping them with the skills to combine Generative AI capabilities and n8n workflow automation to design intelligent, scalable, and impactful business process automation solutions. 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.

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.

  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.

  Understanding, Applying, and Strategically Adopting AI in Modern Retail   The retail and e-commerce industry is undergoing rapid transformation driven by data, digital platforms, and customer expectations. Consumers now demand personalised experiences, accurate recommendations, fast fulfilment, and seamless omnichannel interactions. Artificial Intelligence (AI) has become a key enabler in meeting these expectations by improving demand forecasting, pricing, marketing, customer engagement, inventory management, and decision-making. With the rise of Large Language Models (LLMs) and Generative AI, AI is no longer limited to technical teams. Retail managers, marketers, merchandisers, operations teams, and executives can now use AI tools to analyse data, generate insights, personalise content, summarise reports, and automate repetitive tasks. This course provides a practical, business-focused introduction to AI for retail and e-commerce 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 real retail use cases, responsible AI usage, and measurable business impact, without requiring programming skills. Who will benefit - This course is designed for working professionals involved in retail and e-commerce, including: Retail and e-commerce managers Merchandising and category managers Marketing and digital marketing teams Customer experience and CRM professionals Operations and fulfilment managers Data, analytics, and business intelligence teams Product managers and platform owners Retail 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.

  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.

Procurement is evolving from a transactional function into a strategic, data-driven business partner. Organisations today face increasing pressure to control costs, manage supplier risks, ensure compliance, support sustainability goals, and respond quickly to market volatility. Artificial Intelligence (AI) is becoming a key enabler in meeting these challenges. AI technologies—particularly Machine Learning, Large Language Models (LLMs), and Generative AI—are transforming how procurement teams analyse spend, evaluate suppliers, manage contracts, forecast demand, and support negotiations. With modern AI tools, procurement professionals can now automate repetitive tasks, extract insights from large volumes of documents, and make more informed decisions. This course provides a practical, business-focused introduction to AI for procurement 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 real procurement use cases, responsible AI usage, and measurable productivity and performance improvements, without requiring programming skills. Who Should Attend - This course is designed for working professionals involved in procurement and sourcing, including: Procurement and purchasing managers Strategic sourcing professionals Category managers Contract and vendor management teams Supply management and operations teams Finance and compliance professionals involved in procurement Digital transformation and process improvement teams Procurement leaders 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.

Supply chains are becoming increasingly complex, global, and data-intensive. Volatile demand, disruptions, sustainability requirements, rising logistics costs, and customer expectations are forcing organisations to move beyond traditional planning tools toward AI-enabled, adaptive supply chains. Artificial Intelligence (AI), particularly Machine Learning, Large Language Models (LLMs), and Generative AI, is transforming how organisations forecast demand, manage inventory, optimise transportation, monitor suppliers, and respond to disruptions in real time. Today, supply chain professionals, not just data scientists, can directly use AI tools to analyse data, generate insights, summarise operational reports, support decision-making, and improve coordination across functions. This course provides a practical, business-focused introduction to AI for supply chain 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 real-world supply chain use cases, responsible AI usage, and measurable operational improvements, without requiring programming skills. Who Should Attend - This course is designed for working professionals involved in supply chain and logistics, including: Supply chain managers and planners Procurement and sourcing professionals Logistics and transportation managers Warehouse and distribution managers Demand planning and inventory teams Operations and production planners Sustainability and ESG professionals Digital transformation and analytics teams Supply chain leaders 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. and share as much details in the comment section i.e: no of pax, learning gaps, etc.