This course is to equip senior leaders with the strategic, governance, and organisational capabilities required to design, adopt, and scale AI responsibly and competitively across the enterprise—while managing risk, cost, and long-term value.
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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.
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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.
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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.
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While everyone’s talking about ChatGPT and Gemini, DeepSeek has been quietly pushing boundaries and catching the attention of AI enthusiasts. In this course, we’ll peel back the curtains on what makes DeepSeek special, and show you how it fits into the bigger AI picture – no buzzwords or marketing fluff, just real talk about what these tools can (and can’t) do.
We’ll dive into the practical stuff: understanding AI fundamentals, mastering prompt engineering across different models, and discovering where DeepSeek truly shines compared to its more famous cousins. Whether you’re an AI skeptic or enthusiast, you’ll walk away with the skills to cut through the tech jargon and make these tools work for you in meaningful ways. Think of it as your BS-free guide to navigating the AI landscape, with a special spotlight on one of its most intriguing new players.
Ever wondered how to make AI tools work their magic? You’re in the right place. In this course, we’ll crack the code on getting the most out of AI powerhouses like ChatGPT, Gemini, Claude, and more. Think of it as learning how to speak “AI” fluently – because let’s face it, these tools are everywhere now, and knowing how to use them well is like having a superpower in your back pocket.
We’ll start by demystifying AI (no computer science degree required!), explore how these large language models actually think (spoiler: it’s fascinating), and then dive into the art of prompt engineering. By the end, you’ll be crafting prompts that make AI tools dance to your tune, whether you’re a creative professional, tech enthusiast, or just curious about making these tools work better for you.
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To enable non-technical teams to embed AI directly into daily business workflows, improving productivity, quality, and consistency, while establishing measurable ROI and a foundation for automation and scaling.
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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.
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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.
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System Analysts play a pivotal role in translating business requirements into technical system designs, ensuring alignment between users, processes, data, and technology. As systems become more complex and organisations demand faster, more adaptive solutions, Artificial Intelligence (AI) is emerging as a powerful capability to support modern systems analysis.
Advances in Machine Learning, Large Language Models (LLMs), and Generative AI enable system analysts to analyse requirements more efficiently, document system specifications, model processes, assess system impacts, and support solution design with greater speed and clarity. AI tools can assist across the full systems analysis lifecycle—from requirements elicitation and system modelling to documentation, validation, and change analysis.
This course provides a practical, system-focused introduction to AI for System Analysts. Participants will gain a clear understanding of AI concepts, explore how AI technologies interconnect, and gain hands-on experience using leading AI tools such as ChatGPT, Gemini, Copilot, Perplexity, Grok, Claude, Manus, DeepSeek, Qwen, and NotebookLM. The emphasis is on real system analysis use cases, responsible AI usage, and improving the quality and consistency of system deliverables—without requiring programming skills.
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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.
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In today’s workplace, authority no longer guarantees influence, and experience alone no longer guarantees results. Leaders are expected to navigate ambiguity, manage resistance, lead diverse teams, and adapt faster than change itself.
Adaptive Leadership in Action equips participants with the mindset, tools, and behaviors required to lead effectively when answers are unclear, stakes are high, and people are resistant.
This is not a theory-heavy leadership course.
It is a behavioral transformation lab — where leaders practice real conversations, confront limiting beliefs, and learn how to mobilize people through change without relying on position or control. -
In today’s workplace, constant change is the new normal. We face shifts in organizational strategies, work processes, and team dynamics that present new demands and challenges. Without effective personal strategies, it’s easy to become overwhelmed, leading to burnout, a breakdown in communication, and a failure to adapt.
This workshop introduces the powerful concept of Antifragility, a term coined by Nassim Nicholas Taleb. Being Antifragile is more than just being resilient or surviving chaos—it’s about absorbing shocks, learning from them, and emerging stronger. You will explore skills to deal with change individually and interpersonally, developing concrete strategies to turn disorder into growth
