Prompt Engineering: Elevate Your Interactions with ChatGPT!

Prompt Engineering: Elevate Your Interactions with ChatGPT!, available at $44.99, has an average rating of 4.4, with 94 lectures, 10 quizzes, based on 15 reviews, and has 66 subscribers.

You will learn about How to apply AI for problem-solving, such as information processing, content transformation, and content creation. Learn the language required to effectively prompt AI for tasks such as analysis, critique, summarization, clarification, modification, or content creation. Improve AI interactions by strategically applying prompt patterns like the persona pattern, few-shot prompting, or others for better results. Gain inspiration on using AI to broaden your knowledge, leveraging prompt improvement patterns to have the AI teach you new things or enhance your prompts. This course is ideal for individuals who are A valuable resource for those who feel ChatGPT and similar AI tools are not performing well for them. or Perfect for those of you aiming to get better results from the AI or Ideal for individuals seeking to maximize the potential of ChatGPT and other AI tools. It is particularly useful for A valuable resource for those who feel ChatGPT and similar AI tools are not performing well for them. or Perfect for those of you aiming to get better results from the AI or Ideal for individuals seeking to maximize the potential of ChatGPT and other AI tools.

Enroll now: Prompt Engineering: Elevate Your Interactions with ChatGPT!

Summary

Title: Prompt Engineering: Elevate Your Interactions with ChatGPT!

Price: $44.99

Average Rating: 4.4

Number of Lectures: 94

Number of Quizzes: 10

Number of Published Lectures: 94

Number of Published Quizzes: 10

Number of Curriculum Items: 104

Number of Published Curriculum Objects: 104

Original Price: €44.99

Quality Status: approved

Status: Live

What You Will Learn

How to apply AI for problem-solving, such as information processing, content transformation, and content creation.
Learn the language required to effectively prompt AI for tasks such as analysis, critique, summarization, clarification, modification, or content creation.
Improve AI interactions by strategically applying prompt patterns like the persona pattern, few-shot prompting, or others for better results.
Gain inspiration on using AI to broaden your knowledge, leveraging prompt improvement patterns to have the AI teach you new things or enhance your prompts.

Who Should Attend

A valuable resource for those who feel ChatGPT and similar AI tools are not performing well for them.
Perfect for those of you aiming to get better results from the AI
Ideal for individuals seeking to maximize the potential of ChatGPT and other AI tools.

Target Audiences

A valuable resource for those who feel ChatGPT and similar AI tools are not performing well for them.
Perfect for those of you aiming to get better results from the AI
Ideal for individuals seeking to maximize the potential of ChatGPT and other AI tools.

This course focuses on practical applications in real-world scenarios. Think of it as a guidethat explains the most effective ways to interact with large language models and solve various problems.

Module 1 begins by demystifying the basics of AI and shedding light on how large language models function. We’ll clarify what prompt engineering is and what it isn’t.
In Module 2, we’ll explore practical problem-solving techniques through real-life examples in various contexts. You’ll discover how to craft prompts that effectively address challenges like information processing, content transformation, and content creation. We will examine the various operations within each category, including tasks like data analysis, text clarification, content modification, brainstorming, and planning, among others.
Module 3 explores different prompt patterns, which serve as guides to enhance your interactions with AI. These patterns fall into different categories, each with a specific purpose. Some aim to enhance your interaction, others strive for improved AI output, while some set a context for optimal responses. There are patterns to minimize errors or bias, and others designed to refine how you express inputs to the AI. We’ll explore each of these prompt patterns using simple and relatable examples.
Finally, Module 4 wraps up with valuable tips to improve your prompt proficiency when engaging with ChatGPT.

Throughout the course, we’ll use the free version of ChatGPT, but the principles apply to other large language models as well.

By the end of this course, you’ll have a robust toolkit of prompt engineering techniques and patterns at your disposal, ready to elevate your interactions with AI.

Course Curriculum

Chapter 1: Prompt Engineering Foundations

Lecture 1: Course Intro

Lecture 2: Introduction to "Prompt Engineering Foundations"

Lecture 3: How AI Learns and Evolves

Lecture 4: Generative AI

Lecture 5: Large Language Models

Lecture 6: Risks and Limitations

Lecture 7: Prompt Engineering

Chapter 2: Prompt Engineering Operations

Lecture 1: Introduction to "Prompt Engineering Operations"

Lecture 2: Analyze

Lecture 3: Learn more about the Prompt Operation "Analyze"

Lecture 4: Characterize

Lecture 5: Learn more about the Prompt Operation "Characterize"

Lecture 6: Critique

Lecture 7: Learn more about the Prompt Operation "Critique"

Lecture 8: Distill

Lecture 9: Learn more about the Prompt Operation "Distill"

Lecture 10: Evaluate

Lecture 11: Learn more about the Prompt Operation "Evaluate"

Lecture 12: Extract

Lecture 13: Learn more about the Prompt Operation "Extract"

Lecture 14: Summarize

Lecture 15: Learn more about the Prompt Operation "Summarize"

Lecture 16: Clarify

Lecture 17: Learn more about the Prompt Operation "Clarify"

Lecture 18: Modify

Lecture 19: Learn more about the Prompt Operation "Modify"

Lecture 20: Refactor

Lecture 21: Learn more about the Prompt Operation "Refactor"

Lecture 22: Reformat

Lecture 23: Learn more about the Prompt Operation "Reformat"

Lecture 24: Restructure

Lecture 25: Learn more about the Prompt Operation "Restructure"

Lecture 26: Translate

Lecture 27: Learn more about the Prompt Operation "Translate"

Lecture 28: Brainstorm

Lecture 29: Learn more about the Prompt Operation "Brainstorm"

Lecture 30: Draft

Lecture 31: Learn more about the Prompt Operation "Draft"

Lecture 32: Elaborate

Lecture 33: Learn more about the Prompt Operation "Elaborate"

Lecture 34: Plan

Lecture 35: Learn more about the Prompt Operation "Plan"

Chapter 3: Prompt Patterns

Lecture 1: Introduction to "Prompt Patterns"

Lecture 2: The Context Manager Pattern

Lecture 3: Learn more about the Context Manager Pattern

Lecture 4: The Semantic Filter Pattern

Lecture 5: Learn more about the Semantic Filter Pattern

Lecture 6: The Fact Check List Pattern

Lecture 7: Learn more about the Fact Check List Pattern

Lecture 8: The Reflection Pattern

Lecture 9: Learn more about the Reflection Pattern

Lecture 10: The Meta Language Creation Pattern

Lecture 11: Learn more about the Meta Language Creation Pattern

Lecture 12: The Menu Actions Pattern

Lecture 13: Learn more about the Menu Actions Pattern

Lecture 14: Few Shot Prompting

Lecture 15: Learn more about Few Shot Prompting

Lecture 16: Chain of Thought Prompting

Lecture 17: Learn more about Chain of Thought Prompting

Lecture 18: The Flipped Interaction Pattern

Lecture 19: Learn more about the Flipped Interaction Pattern

Lecture 20: The Infinite Generation Pattern

Lecture 21: Learn more about the Infinite Generation Pattern

Lecture 22: The Game Play Pattern

Lecture 23: Learn more about the Game Play Pattern

Lecture 24: Ask for Input Pattern

Lecture 25: Learn more about the Ask for Input Pattern

Lecture 26: The Output Automator Pattern

Lecture 27: Learn more about the Output Automator Pattern

Lecture 28: The Persona Pattern

Lecture 29: Learn more about the Persona Pattern

Lecture 30: The Template Pattern

Lecture 31: Learn more about the Template Pattern

Lecture 32: The Visualization Generation Pattern

Lecture 33: Learn more about the Visualization Generation Pattern

Lecture 34: The Recipe Pattern

Lecture 35: Learn more about the Recipe Pattern

Lecture 36: The Audience Persona Pattern

Lecture 37: Learn more about the Audience Persona Pattern

Lecture 38: The Tail Generation Pattern

Lecture 39: Learn more about the Tail Generation Pattern

Lecture 40: The Question Refinement Pattern

Lecture 41: Learn more about the Question Refinement Pattern

Lecture 42: The Alternative Approach Pattern

Lecture 43: Learn more about the Alternative Approach Pattern

Lecture 44: The Cognitive Verifier Pattern

Lecture 45: Learn more about the Cognitive Verifier Pattern

Lecture 46: The Refusal Breaker Pattern

Instructors

TechXplainator Academy
Tech Instructor for All

Rating Distribution

1 stars: 0 votes
2 stars: 1 votes
3 stars: 1 votes
4 stars: 2 votes
5 stars: 11 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

Menu