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Pluralsight – Advanced Prompt Engineering 2025-10

Updated August 10, 2026 410 MB
Pluralsight – Advanced Prompt Engineering 2025-10

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Description

Advanced Prompt Engineering. This course teaches the specialized skills needed to write complex prompts to extract accurate, safe, and reliable responses from AI models. In a context where simple prompts produce generic and often incomplete outputs, this course is designed to overcome these limitations. The course content goes beyond the basics and explores advanced structures that force the model to reason logically and accurately. Along the way, participants will learn methods such as Few-shot, ReAct, Reflexion, and Tree-of-thought to improve the quality of outputs by analyzing examples and reviewing the model’s thought processes. The course also focuses on designing industry-specific prompts and using techniques such as command chaining to gradually refine results while maintaining subject matter coherence. A critical part of the training is integrating large language models with external tools, APIs, and code execution capabilities. Responsible AI principles are taught as an integral part to ensure the accuracy, safety, and ethical compliance of outputs. In the end, learners will gain the knowledge and competence necessary to lead practical projects in various domains and be able to fully exploit the capabilities of language models to produce desirable and reliable results.

What you will learn

  • Familiarity with advanced instruction methods to increase the accuracy of models.
  • Mastery of argumentation techniques such as Few-shot and Zero-shot.
  • Learning complex mental models such as ReAct and Reflexion for self-correcting AI.
  • Understand and implement the Tree-of-Thought method to solve difficult and multifaceted problems.
  • Ability to design and create custom recipes for various industries and business areas.
  • Using prompt chaining to improve results step by step.
  • Managing text persistence and maintaining conversational context in long interactions.
  • Integrate large language models with external tools and application programming interfaces (APIs).
  • Execution of programming and computational codes through intelligent commands.
  • Implementing responsible AI principles to ensure safety and ethics in outputs.

This course is suitable for people who:

  • Data and AI professionals who want to improve the output quality of their systems.
  • Software developers who want to intelligently integrate LLMs into their applications.
  • Business analysts looking to extract accurate and specialized information from artificial intelligence tools.
  • Project managers at technology companies who work with content production and coding teams.
  • Tech enthusiasts who are willing to move beyond the typical, everyday uses of AI.
  • Researchers and scholars who need logical and accurate AI reasoning to advance their studies.
  • People who seek to optimize processes and reduce human errors when interacting with language models.

Advanced Prompt Engineering Course Specifications

Course headings

Advanced Prompt Engineering

Course images

Advanced Prompt Engineering

Sample course video

Installation Guide

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Subtitles: English

Quality: 720p

Download link

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File size

410 MB