Video Training / Business and Marketing Tutorials →Prompt Engineering Pro Patterns & Prompt Architecture

Understand how Large Language Models (LLMs) generate responses and why outputs vary
Design structured, multi-step prompts instead of one-off requests
Apply professional prompt patterns (Persona, Question Refinement, Fact Check List, etc.)
Combine Zero-shot, Few-shot, Chain-of-Thought, and ReAct techniques for complex tasks
Reduce hallucinations and improve output accuracy using validation strategies
Build reusable, scalable prompt systems for professional workflows

Requirements

Basic experience using any AI tool (e.g., ChatGPT or other LLM-based systems)
Willingness to approach prompt engineering systematically and work with structured techniques

Description

Most prompt engineering courses teach phrases that "always work." This course takes a different approach.Instead of memorizing prompts, you will learn how to design them as structured systems.Prompt engineering is not about guessing wording. It is about understanding how Large Language Models (LLMs) process instructions, structure reasoning, and generate outputs. Once you understand the architecture, you can control the system more consistently and get more reliable results.In this course, you will learn how to:Design multi-step promptsApply professional prompt patterns such as Persona, Question Refinement, and Fact Check ListCombine Zero-shot, Few-shot, Chain-of-Thought, and ReAct techniques for complex tasksReduce hallucinations and improve reliabilityValidate and audit AI outputs using structured checksBuild reusable and scalable prompt frameworks you can apply repeatedlyThe course is practice-oriented. Each pattern is explained clearly and applied to realistic professional scenarios, so you can immediately transfer the techniques into your own work.This course is especially valuable for analysts, legal professionals, researchers, developers, and strategic marketers who work with complex information and need structured AI outputs. If you want to manage an LLM as a tool — rather than rely on trial and error — you will benefit from this systematic approach.By the end of the course, you will be able to design reproducible, testable, and scalable prompt systems for professional and analytical tasks. This is a systematic, architecture-focused approach to prompt engineering.
Analysts and researchers working with complex information,Legal professionals and documentation specialists,Developers and technical professionals using AI tools,Strategic marketers working with content and analytics,Advanced AI users who want systematic control over LLMs

Homepage

https://www.udemy.com/course/prompt-engineering-pro-patterns-prompt-architecture/