Read. Try. Keep what helps.
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
49–56 of 108 guides
AI at work, by role2 minCreators and freelancers
Plan videos, write scripts, research topics, and repurpose content with AI — while keeping your voice, facts, and rights in order.
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AI at work, by role2 minProcurement professionals
Structure vendor comparisons, draft RFPs, and summarise proposals with AI while keeping decisions transparent and auditable.
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AI at work, by role2 minExecutive and personal assistants
Use AI to triage email, prepare meeting briefs, draft correspondence, and organise travel — with discretion built in.
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AI at work, by role2 minIT support and helpdesk teams
Use AI to write knowledge-base articles, diagnose common issues, draft scripts, and summarise tickets — with security in mind.
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AI at work, by role2 minTeam managers
How line managers can encourage useful AI adoption — shared prompts, safe experiments, and fair expectations — without chaos.
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For developers2 minDevelopers new to LLMs
From API call to a small, tested feature: the steps, decisions, and checks for a first production-minded LLM application.
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For developers3 minDevelopers
How RAG works, where it fails, and the design decisions — chunking, retrieval, prompting, evaluation — that decide quality.
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For developers2 minDevelopers and AI engineers
Build evaluation into LLM development with representative test sets, clear rubrics, automated scoring, and human review where it counts.
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A plain-text task, context, format and constraints template, with a practice example and an answer checklist.
Learning files published for each webinar. Share feedback or skip it to get the kit.
Explore your next step, prepare your application and practise for interviews. Each tool explains its current capabilities.
