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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.
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- 1 AI, Machine Learning & GenAI Free What people actually mean when they say "AI" at work, and how machine learning and generative AI fit together. Start →
- 2 Prompts, Chatbots & Copilots Free How employees actually use AI tools at work, and how to write prompts that get useful results safely. Start →
- 3 Automation & Agents Free What can sensibly be automated, what still needs human judgment, and where AI agents fit in. Start →
- 4 RAG, Vector Search & Knowledge Bases Free How AI answers questions from your own company documents instead of guessing from general training. Start →
- 5 AI Risk, Accuracy & Human Review Free Hallucinations, privacy and security risks, and the review workflows that keep AI output trustworthy. Start →
- 6 AI Business Cases Free How companies decide whether an AI project is actually worth doing, beyond the hype. Start →
- 7 Responsible AI & AI Ethics Free The plain-English principles that keep AI fair, honest, and safe to put in front of real people. Start →
- 8 AI Governance & Compliance Free How organizations decide who can use AI, for what, and who answers when it goes wrong. Start →
- 9 Evaluating AI Tools & Vendors Free A calm, practical way to judge an AI tool before you sign, so the demo magic survives contact with reality. Start →