Beginner

Prompt Engineering Mastery

Go beyond basic prompting. Learn advanced systemic techniques like Chain-of-Thought, ReAct pattern, prompt template compilation, and security mitigations.

SM
Created by Sana Malik
4.9rating
3820 learners enrolled
6 hours duration

What you'll learn

Write predictable, production-ready system prompts
Implement Chain-of-Thought (CoT) and Self-Consistency patterns
Establish defensive prompts against prompt injection attacks
Format structured outputs (JSON, XML) reliably from LLMs
Build dynamic prompt template compilers in Node and Python

Course Content

Section 1: Introduction to Prompt Engineering
What is an LLM really doing?
12 mins
System vs User messages and Token limits
15 mins
Core elements of a perfect prompt
20 mins
Section 2: Advanced Prompting Patterns
Few-Shot prompting and dynamic exemplar selection
25 mins
Chain-of-Thought (CoT) and Tree-of-Thought
30 mins
Structured outputs (JSON schema enforcing)
20 mins
Section 3: Prompt Security & Validation
Understanding Jailbreaking & Injection vulnerabilities
22 mins
Defensive design and sandbox formatting
18 mins
Automated prompt testing & evaluation frameworks
30 mins

Your Instructor

SM

Sana Malik

AI Solution Architect & Consultant

Sana designs commercial generative AI applications for Fortune 500 companies. She specializes in building multi-agent prompt pipelines.

Prerequisites

  • Basic understanding of chat interfaces (ChatGPT/Claude)
  • General software development awareness (JSON format)
$45USD
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This course includes:
Full lifetime access
Access on mobile and desktop
Certificate of completion
Exercises & course resources