Generative AI Explained
Understand how generative AI creates text, images and other content, and why plausible outputs may still be wrong. Explore prompts, context, source-grounded work and…
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Build practical skills in artificial intelligence, AI tools and their responsible use at work.
Generative AI for Workplace Productivity
Use generative AI to improve everyday office work through a controlled sequence of briefing, drafting, checking and handover. Twelve detailed lessons cover task selection,…
Getting Started with AI Assistants
Learn a practical, provider-neutral method for using AI assistants to draft, summarise, compare and plan. Six detailed lessons use supplied fictional information, worked prompts…
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Introduction to Artificial Intelligence
Build a practical understanding of AI, machine learning and everyday business applications. Six detailed lessons explain data, predictions, generative tools, limitations and a simple…
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Introduction to ISO/IEC 42001:2023
Gain introductory awareness of an artificial intelligence management system under ISO/IEC 42001:2023. Six original lessons explain scope, leadership, AI risks and impacts, controls, operations…
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Microsoft 365 Copilot for Office Professionals
Apply Microsoft 365 Copilot to everyday work in Word, Outlook, Teams, Excel and PowerPoint. Twelve lessons combine access checks, source-based prompting, document drafting, meeting…
299 د.إView course →
No-Code AI Workflow Automation
Build and test no-code workflows using fictional business cases and an n8n reference implementation. Combine triggers, field mapping, AI classification, validation, review, retries and…
Practical Prompt Engineering for Professionals
Design, test and maintain prompts for professional tasks. Twelve lessons cover clear instructions, context selection, examples, structured output, extraction, task decomposition, evidence, evaluation, multilingual…
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Prompt Writing Basics
Write clear prompts for everyday work using a simple task, context, audience, format and constraints structure. Six lessons include before-and-after prompts, source-based examples, common…
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Python and Machine Learning Foundations
Learn Python programming, data preparation and introductory machine learning through runnable synthetic examples. Progress from variables and functions to pandas, visualisation, regression, classification, pipelines,…
Responsible AI Governance Practitioner
Build and operate responsible AI governance through a fictional three-use business portfolio. Cover decision rights, inventory, screening, policies, management systems, obligations, data, oversight, suppliers,…
Responsible and Safe Use of AI at Work
Develop practical judgement for responsible workplace AI use. Six lessons cover accountability, evidence, fairness, confidentiality, suspicious content and incident response. Fictional workplace cases include…
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