Prompt Engineering
Learn how to craft effective prompts for AI models. From basic techniques to advanced methods like Chain of Thought and ReAct.
Introduction to Prompt Engineering
What is prompt engineering, why it matters, and how LLMs interpret prompts
Prompt Structure & Anatomy
Components of effective prompts: instructions, context, examples, and constraints
Zero-Shot & Few-Shot Prompting
Learning techniques without examples vs providing demonstrations for better results
Chain of Thought Prompting
Step-by-step reasoning techniques to improve complex problem solving
Role & Persona Prompting
Assigning roles and personas to shape AI behavior and expertise
Output Formatting & Structured Data
Getting consistent JSON, markdown, code, and structured responses
Prompt Chaining & Decomposition
Breaking complex tasks into smaller prompts for better results
Advanced Prompting Techniques
Self-consistency, ReAct, Tree of Thoughts, and other cutting-edge methods
Why Learn Prompt Engineering?
Better AI Results
Get more accurate, relevant, and useful responses from AI models with well-crafted prompts.
Boost Productivity
Automate complex tasks, generate code, and solve problems faster with effective prompting.
In-Demand Skill
Prompt engineering is a rapidly growing field with increasing demand across industries.