Prompt Engineering
From fundamentals to advanced agent prompt architecture, adversarial defense, and DSPy optimization. Combines the dedicated Prompt Engineering Mastery sprint with the LLM Engineering and Agentic AI phases that go deep on prompt design.
The route
- Prompt Engineering Mastery (full course) — Prompt Engineering Mastery. A comprehensive sprint covering prompt fundamentals, structured outputs, few-shot patterns, chain-of-thought, and practical prompt iteration.
- LLM Engineering — prompt engineering module — ML & AI Engineering (phase 05). The prompt engineering lessons within the LLM Engineering phase: designing prompts as versioned product interfaces, structured outputs, and cost-aware model routing.
- Advanced Prompt Engineering for Agents — Agentic AI Engineering (phase c2-01). 5 lessons on system prompt architecture, few-shot for tool use, chain-of-thought & ReAct, prompt versioning with A/B testing, and adversarial prompting defense.
What you build
A prompt registry with versioning, A/B testing, adversarial defense, and a hardened agent system prompt with a threat model.
Every learning path
Create a free account — the opening phases of 24 of 30 courses are free, no credit card. Or see Pro pricing.
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