Beginner · 6 lessons · about 80 min
AI foundations for builders
What AI models are, how they produce answers, how to prompt them, how to check their work, and how to put one into a small automated workflow with a person still in control.
By the end you'll be able to
- ✓Explain the difference between AI, machine learning, generative AI and LLMs, and say what a model can and cannot do on its own.
- ✓Describe tokens, context windows, inference and knowledge cutoffs, and why the same prompt can give different answers.
- ✓Write clear prompts with a system prompt, examples and a fixed output format.
- ✓Spot likely hallucinations and use grounding and a verification routine sized to the risk.
- ✓Choose the right kind of AI tool for a task and build a first no-code AI workflow with a human review step.
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- ✓1.What AI actually isSort out AI, machine learning, generative AI and large language models, and learn what a model can and cannot do before you build anything on it.10m
- ✓2.How LLMs work: tokens, context and variationLearn the handful of mechanics that explain most model behaviour: tokens, the context window, inference, the knowledge cutoff and why answers vary.12m
- ✓3.Prompting basicsWrite prompts that work the first time and keep working: clear instructions, a system prompt, a few good examples and a fixed output format.14m
- ✓4.Hallucinations and how to verify outputUnderstand why models make things up, how grounding reduces it, and how to check output with effort that matches the risk.12m
- ✓5.Choosing AI toolsTell chat apps, APIs, coding agents and automation platforms apart, understand closed versus open-weight models, and pick the right starting point for a task.12m
- ✓6.Your first AI workflowBuild a no-code flow from a trigger to an AI step to an action, with a human review step so nothing reaches a customer unchecked.18m