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AI Prompt Engineer Certification

Communicate precisely with large language models. Master the art of crafting precise, effective prompts for Large Language Models (LLMs) to maximize AI output quality.

8 lessons · 4 Hours · Intermediate · exam: 15 questions in 25 minutes, pass mark 70%.

What you will learn

• Explain how tokens, context windows and sampling shape model output
• Structure prompts with role, task, context, format and constraints
• Choose between zero-shot, few-shot and chain-of-thought prompting
• Get reliable structured output (JSON) from a model
• Manage long context and retrieval-augmented generation (RAG)
• Evaluate and iterate on prompts with test sets

Syllabus

How LLMs Work

1. Introduction to LLMs: tokens & context (20 min)
2. Sampling: temperature & top-p (20 min)

Core Prompting Techniques

1. Anatomy of an effective prompt (30 min)
2. Zero-shot vs few-shot prompting (25 min)
3. Chain-of-thought reasoning (25 min)

Advanced Practice

1. Structured output & delimiters (25 min)
2. Advanced context management & RAG (30 min)
3. Evaluating & iterating on prompts (25 min)