Learn Prompt Engineering: Techniques, Patterns, and Best Practices
Master prompt engineering techniques, patterns, and best practices to get expert-level results from ChatGPT, Claude, and other LLMs.
- Lessons 30
- Duration 18:30:00
Last Update: Sep 29, 2024
Learn Prompt Engineering: Techniques, Patterns, and Best Practices
Master prompt engineering techniques, patterns, and best practices to get expert-level results from ChatGPT, Claude, and other LLMs.
Course Details
- Instructor(s) :Kindson (Admin)
Lectures :30 lessons
Duration :18:30:00
Enrolled :1 students
Course level :intermediate
Language :English
Price Discount :
Regular Price :
Course Status :active
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More Courses...Frequently Asked Questions
No coding experience is required. The course is designed for a broad audience including writers, analysts, and business professionals. Developers will find extra value in sections on code generation and function calling, but all core content is accessible without programming knowledge.
The techniques taught are platform-agnostic and apply to any major LLM including ChatGPT, Claude, GPT-4, Gemini, and open-source models. Examples reference ChatGPT and Claude most frequently, but the principles transfer across all modern LLMs.
This is an intermediate-level course. You should already have some experience using a conversational AI tool. If you have never used ChatGPT or a similar model before, we recommend spending a few hours experimenting with one before starting.
Your Prompt Engineering Playbook is a personal, reusable collection of prompt templates, evaluation rubrics, and documented strategies tailored to your use cases. The capstone project guides you through assembling it step by step so you leave the course with a practical, ready-to-use resource.
This course provides a structured, progressive curriculum grounded in how LLMs actually work. Rather than isolated tips, you gain a systematic framework — from fundamentals through advanced chaining and safety — reinforced with hands-on labs, pattern practice, and professional-grade evaluation techniques.




