AI for Developers

LLMs, prompting, evaluation, responsible AI.

Overview

Apply LLMs responsibly in apps: prompting, evaluation and safety. Build small, reliable AI features.

Learn retrieval, context windows, latency/cost trade‑offs, and when to prefer deterministic alternatives.

Syllabus

  • LLM capabilities/limits and responsible AI basics
  • Prompt patterns, system prompts and guardrails
  • Evaluation: golden sets, metrics and regressions
  • Retrieval‑augmented generation and chunking
  • Tools, function calling and deterministic fallbacks
  • Latency/cost controls, caching and timeouts
  • Safety: PII, abuse, jailbreaks and logging
  • Hands‑on: add an AI helper with tests
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