Intermediate8h 56m4 modules · 19 leçons1 inscrits

Prompt Engineering for LLMs — Endpoints, Open Weights and Production

Production prompting from an NVIDIA and open-model angle: system prompts for OpenAI-compatible endpoints (NIM, vLLM), sampling parameters (temperature, top-p, top-k, seed), chat templates for open-weight models, strict structured outputs, tool use and MCP, NeMo guardrails, security (injection, PII, EU AI Act) and productionization (versioning, evaluation, observability, costs). 19 lessons, a capstone and a graded final project.

Par Équipe Curriculum Nexus

49€

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Programme du cours

4 modules

01
Module
Foundations: prompts, parameters and chat templates
Get started with Prompt Engineering for LLMs in the NVIDIA ecosystem.
6 leçons·2h 22

Advanced techniques: endpoints, reasoning, tools and agents

Beyond the single prompt: chaining, prompt-as-program, tool use, and adaptive thinking. This is where you stop writing prompts and start designing systems.

4 leçons·1h 38

Prompt Engineering for LLMs — Endpoints, Open Weights and Production

Programme du cours

Foundations: prompts, parameters and chat templates

Advanced techniques: endpoints, reasoning, tools and agents

Security, robustness and compliance

Going to production, capstone and final project