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All You Need to Know About Prompt Engineering
Learn to design clear, structured, and secure prompts that guide AI systems with confidence. Develop skills in context grounding, tool use, evaluation, and the design of production-ready prompts.
4.5
23 Lessons
7h
Updated 2 weeks ago
Join 2.9 million developers at
Join 2.9 million developers at
LEARNING OBJECTIVES
- The ability to design clear, structured prompts that reduce ambiguity and improve output reliability
- Knowledge of how to control model behavior through roles, style, persona, few-shot prompting, and reasoning strategies
- Hands-on experience grounding AI responses in context by working with long documents, citations, and secure prompt structures
- Proficiency in crafting specialized instructions for image, audio, and video models to control visual composition, sonic texture, and temporal motion.
- The ability to integrate tools safely, ensuring proper permissions, error handling, and effective action selection strategies
- The ability to evaluate and monitor prompts using testing, fairness checks, and data-driven production practices
Learning Roadmap
2.
Introduction
Introduction
Explore the core concepts of prompt engineering and its evolution.
3.
Fundamentals of Prompt Engineering
Fundamentals of Prompt Engineering
4 Lessons
4 Lessons
Master effective prompt engineering through clarity, structure, and practical application.
4.
Instruction Design
Instruction Design
5 Lessons
5 Lessons
Master structured outputs, voice engineering, advanced reasoning, and creativity control in AI.
5.
Context and Grounding
Context and Grounding
3 Lessons
3 Lessons
Enhance AI reliability through grounding, citations, and robust security measures.
6.
Multimodal Prompting
Multimodal Prompting
3 Lessons
3 Lessons
Master effective prompting strategies for image, audio, and video generation.
7.
Tools and Structured Actions
Tools and Structured Actions
2 Lessons
2 Lessons
Master the integration of tools and safety in AI agent development.
8.
Production and Operations
Production and Operations
2 Lessons
2 Lessons
Master data-driven prompt engineering for fairness, evaluation, and continuous improvement.
Certificate of Completion
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Developed by MAANG Engineers
ABOUT THIS COURSE
This course teaches you how to design clear and reliable prompts that guide AI systems with confidence. You will learn to write precise objectives, define useful roles, manage ambiguity, and structure prompts to improve accuracy, stability, and output quality in everyday work.
You will explore instruction design techniques that shape how text and multimodal models think and respond. These include few-shot prompting, schema-aligned outputs, style and persona control, advanced reasoning strategies, and careful control of creativity through model parameters. You will also learn to ground answers in real context, work with long documents, and defend against risks like prompt injection.
The course then introduces tool use, safety rules, and production practices that maintain the effectiveness of prompts over time. You will learn evaluation, monitoring, fairness checks, and experiment design. By the end, you will be ready to build prompts that support trustworthy and predictable AI behavior in real applications.
ABOUT THE AUTHOR
Khayyam Hashmi
Computer scientist and Generative AI and Machine Learning specialist. VP of Technical Content @ educative.io.
Trusted by 2.9 million developers working at companies
A
Anthony Walker
@_webarchitect_
E
Evan Dunbar
ML Engineer
S
Software Developer
Carlos Matias La Borde
S
Souvik Kundu
Front-end Developer
V
Vinay Krishnaiah
Software Developer
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