GenAI Engineer PathFrom zero to agentic AI
3

Prompt Engineering

Get reliable, high-quality output from models. Learn proven prompting patterns, how to manage the context window as it fills up, and how prompt caching cuts latency and cost.

What you will be able to do

  • Apply structured prompting patterns including chain-of-thought
  • Manage context to avoid bloat, context rot, and lost-in-the-middle
  • Use prompt caching to reduce latency and cost
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  1. Prompting Basics

    Beginner

    The core techniques: clear instructions, examples, roles, output formats, and chain-of-thought. A small set of patterns covers most real needs.

    45 min4 resources · 1 video
  2. Context Handling

    Intermediate

    A bigger context window is not free. Learn how models degrade when context is bloated, how relevant facts get lost in the middle, and how to engineer context deliberately.

    40 min4 resources · 1 video
  3. Prompt Caching

    Intermediate

    When prompts share a large static prefix, caching lets the model reuse it, cutting cost and latency dramatically. Learn how to structure prompts to benefit.

    25 min3 resources · 1 video

Put it to work

Apply what you learned by building real projects.

Test your thinking

Challenge yourself with scenario-based questions. Need 80% to mark complete.