This three-day, role-specific course is intended for participants interested in developing skills and experience using Snowflake AI Data Cloud for data science workloads. The participant will gain exposure to the rich features of Snowflake, diverse machine learning datasets, relevant and popular open source ML frameworks and libraries, and model deployment practices that will provide practical skills applicable to data science jobs. This course consists of lectures, demos, labs, and discussions.
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In this two-day course, participants will learn how to seamlessly integrate cutting-edge AI capabilities into their daily work, even if they’re not data scientists or Machine Learning engineers. They will extract insights at scale, interact with applications using natural language, drive coding productivity, and produce new content. Participants will also learn about empowering business users to make faster, data-driven decisions while enabling data teams and developers to build and deploy specialized, governed AI agents rapidly.
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This one-day, role-specific course introduces business users to the Snowflake AI Data Cloud and its architecture. Participants learn how to connect to Snowflake, access the data they need, use that data, augment the data, and report data insights from Snowflake. The course consists of lectures, labs, demonstrations, and discussions.
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This course is designed to equip employees with a clear and practical understanding of Artificial Intelligence. Participants will learn what AI is—and what it is not—how to use Generative AI safely, responsibly, and effectively, and how to minimise organisational risks associated with AI misuse. The course also focuses on applying AI tools in daily work to drive measurable productivity gains and time savings.
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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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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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This course equips teams with the skills to design, build, evaluate, deploy, and automate AI solutions that are reliable and safe, technically robust, aligned with business objectives, and ready for real-world production environments—not just experimental notebooks.
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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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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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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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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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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.
