Prompt Engineering for LLMs — WalkSelf

Prompt Engineering for LLMs

Master the art and science of crafting effective prompts to guide Large Language Models (LLMs) for various tasks, from content generation to complex reasoning. Learn techniques like zero-shot, few-shot, and chain-of-thought prompting.

357 courses

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Practical ChatGPT for Data Science

4.1 (233)
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2.000 kr
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Prompt Engineering: Frameworks and Techniques for LLMs

4.5 (5 028)
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Prompt Engineering for Software Development and Productivity

4.3 (512)
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Selenium WebDriver: Web Element Locators and Interaction

4.2 (984)
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AutoLISP Programming for AutoCAD Automation

4.3 (672)
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Generative AI Foundations: Prompt Engineering and LLM Development

4.4 (504)
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Beginner's Guide to MPS: Create Custom Domain-Specific Languages

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Prompt Engineering for ChatGPT: Practical Foundations

4.6 (8 143)
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Practical Prompt Engineering for ChatGPT

4.8 (7 887)
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Large Language Models: Foundational Concepts and Real-World Use Cases

4.8 (7 662)
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Effective ChatGPT Prompting for Beginners

4.8 (5 174)
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Effective Prompt Engineering: A Framework for Better AI Results

4.8 (4 122)
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Developer's Guide to Prompt Engineering with the OpenAI API

4.8 (3 414)
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AI Context Engineering: Optimizing LLM Inputs and Prompts

4.8 (1 700)
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Introduction to Large Language Models and Generative AI

4.5 (1 451)
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Practical Unix and Command Line Basics

4.7 (1 368)
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Instructional Design: Designing Engaging Online Learning

4.6 (1 359)
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English Language Teaching Capstone: Practical Lesson Design

4.8 (1 245)
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AI Interaction and Prompt Engineering Fundamentals

4.9 (1 026)
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Foundations of Prompt Engineering for LLMs

4.6 (939)
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Prompt Engineering: Advanced Techniques for Reliable AI Outputs

4.8 (773)
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Prompt Engineering Foundations for Professional Workflows

4.8 (500)
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Foundations of Small Language Models (SLMs)

4.8 (500)
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Prompt Engineering Foundations for Modern LLM Workflows

4.8 (500)
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Showing 1–24 of 357 courses