AI careers2 minEmployees and team leads
How to take on AI responsibilities at work (and get credit for it)
Propose a small AI pilot, run it safely, document results, and turn it into recognised responsibility in your current role.
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Find a clear explanation, a reusable template or a tool to help you move forward. Our current collection focuses on practical AI, career skills and learning at work.
The reading shelf
17–24 of 108 guides
AI careers2 minEmployees and team leads
Propose a small AI pilot, run it safely, document results, and turn it into recognised responsibility in your current role.
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AI careers2 minWorking professionals
A milestone-based plan for building practical AI skills over a year alongside work, with checkpoints instead of fixed deadlines.
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AI careers2 minCareer returners
How returners can refresh skills, explain the gap confidently, and use AI-assisted work as a practical way back in.
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Core AI skills4 minProfessionals and beginners
Copy-ready templates for emails, summaries, comparisons, and plans — each with the check you should run before using the output.
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Core AI skills3 minEveryone using AI tools
A plain-language explanation of AI hallucinations, the situations that trigger them, and practical techniques that lower the risk.
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Core AI skills2 minProfessionals who read a lot
A method for summarising reports, contracts, and research with AI while keeping key details traceable to the source.
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Core AI skills3 minSpreadsheet users
Practical ways to get correct formulas, clean messy data, and draft analysis with AI — plus the checks that catch spreadsheet errors.
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Core AI skills2 minEmployees and managers
What to keep out of AI tools, how to anonymise inputs, and the questions to ask before using an AI tool with work data in India.
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A plain-text task, context, format and constraints template, with a practice example and an answer checklist.
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