Complete Prompt Engineering Course: From Basics to Mastery
This comprehensive prompt engineering course teaches you how to communicate effectively with large language models. You'll learn core techniques like zero-shot, few-shot, and chain-of-thought prompting, master structured outputs, build reusable templates, and develop advanced strategies for getting consistently excellent results from AI. Each lesson includes practical examples, real-world applications, and exercises you can apply immediately.
Course Modules
Module 1: Foundations of Prompt Engineering
Understand how large language models work and master the fundamentals of writing effective prompts.
Lesson 1: Introduction to Prompt Engineering
What is prompt engineering, why it matters in 2026, and how LLMs process your inputs.
Lesson 2: Core Prompting Techniques
Master zero-shot, few-shot, chain-of-thought, and other essential prompting strategies.
Lesson 3: Structured Outputs & Prompt Templates
Master techniques for getting consistent, structured outputs and building reusable prompt templates.
Module 2: Advanced Prompting Techniques
Master sophisticated prompting strategies including chain-of-thought variants, self-reflection, and iterative refinement.
Lesson 4: Chain-of-Thought Variants
Explore different chain-of-thought approaches: zero-shot CoT, few-shot CoT, and auto-CoT.
Lesson 5: Self-Reflection & Self-Critique
Teach AI models to evaluate and improve their own outputs through reflection techniques.
Lesson 6: Error Recovery & Edge Case Handling
Learn techniques for handling errors, edge cases, and unexpected outputs in your prompts.
Module 3: Domain-Specific Prompting
Master specialized prompting techniques for coding, writing, analysis, and other professional domains.
Lesson 7: Prompting for Code Generation
Write effective prompts for generating, debugging, and refactoring code across programming languages.
Lesson 8: Prompting for Content & Writing
Master prompts for blog posts, marketing copy, technical writing, and creative content.
Lesson 9: Prompting for Data Analysis & Research
Master prompts for analyzing data, conducting research, and generating insights.
Module 4: Building AI Workflows
Master prompt chaining, orchestration, and building complex AI-powered workflows for real-world applications.
Lesson 10: Prompt Chaining & Sequential Processing
Connect multiple prompts to build complex workflows where each output feeds into the next.
Lesson 11: Multi-Agent Orchestration
Coordinate multiple AI agents to work together on complex tasks, each specializing in different aspects.
Lesson 12: Real-World Applications & Case Studies
Apply everything you've learned to real-world scenarios: content creation, customer service, data analysis, and more.