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Prompt Engineering3Agentic AI0Claude Code0Context & RAG1AI Evals0MCP & Integrations0Responsible AI6Workflows6
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intermediateWatch the first lesson freeAI Literacy
AI Basics for WorkThe core ideas behind AI tools at work: model, prompt, context, tokens, hallucination, grounding and agents, how to judge an output, what data is safe to share, the laws, frameworks and standards around AI use, and the working habits that keep it sound.
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6 modules- Module 1Welcomein AI Basics for Work · 1 lessonai-for-leadersai-for-data-analystsprompt-engineeringcontext-ragresponsible-aiquickfoundational
- Module 2Core termsin AI Basics for Work · 3 lessonsai-for-leadersai-for-data-analystsprompt-engineeringcontext-ragresponsible-aiquickfoundational
- Module 3Judging outputin AI Basics for Work · 3 lessonsai-for-leadersai-for-data-analystsprompt-engineeringcontext-ragresponsible-aiquickfoundational
- Module 4Agents and datain AI Basics for Work · 3 lessonsai-for-leadersai-for-data-analystsprompt-engineeringcontext-ragresponsible-aiquickfoundational
- Module 5Good practicein AI Basics for Work · 3 lessonsai-for-leadersai-for-data-analystsprompt-engineeringcontext-ragresponsible-aiquickfoundational
- Module 6Final examin AI Basics for Work · 1 lessonAssessment or resources — shown for this course's subjects: ai-for-leaders · ai-for-data-analysts · prompt-engineering · context-rag · responsible-ai · quick · foundational