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6 lessons · Learn at your pace
AI essentials
Build a practical foundation, without a coding prerequisite.
- AI, machine learning, and generative AI
- What does a language model actually do?
- Confident answers can still be wrong
- Give the task, the context, and the finish line
- When AI works with images, audio, and text
- Use AI with clear data boundaries
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Agents & applied AI
Connect evidence, tools, evaluation and action permissions.
- Embeddings: finding related meaning
- RAG: give an answer the right evidence
- RAG or fine-tuning? Start with the problem
- How agents use tools, and where MCP fits
- Measure quality, reliability, and cost
- Put permissions outside the prompt
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