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9 modules · ~24 min
AI & Automation
The plain-English language of AI projects — models, copilots, chatbots, automation, RAG, prompts, and responsible use.
This course is free — no account needed. Dive in.
What you'll be able to do
01
Tell AI, machine learning and GenAI apart
02
Use prompts, chatbots and copilots at work
03
Understand automation, agents and RAG
04
Judge AI risk, accuracy and business cases
Modules
9 in this track- 1AI, Machine Learning & GenAIFreeWhat people actually mean when they say "AI" at work, and how machine learning and generative AI fit together.Start →
- 2Prompts, Chatbots & CopilotsFreeHow employees actually use AI tools at work, and how to write prompts that get useful results safely.Start →
- 3Automation & AgentsFreeWhat can sensibly be automated, what still needs human judgment, and where AI agents fit in.Start →
- 4RAG, Vector Search & Knowledge BasesFreeHow AI answers questions from your own company documents instead of guessing from general training.Start →
- 5AI Risk, Accuracy & Human ReviewFreeHallucinations, privacy and security risks, and the review workflows that keep AI output trustworthy.Start →
- 6AI Business CasesFreeHow companies decide whether an AI project is actually worth doing, beyond the hype.Start →
- 7Responsible AI & AI EthicsFreeThe plain-English principles that keep AI fair, honest, and safe to put in front of real people.Start →
- 8AI Governance & ComplianceFreeHow organizations decide who can use AI, for what, and who answers when it goes wrong.Start →
- 9Evaluating AI Tools & VendorsFreeA calm, practical way to judge an AI tool before you sign, so the demo magic survives contact with reality.Start →