Master Prompt Engineering: A Non-Technical Guide To Chatgpt

"Mastering Prompt Engineering with ChatGPT: Unlock the Power of Artificial Intelligence"

What you'll learn

How ChatGPT works

History of Artificial Intelligence

What kind of mistakes can ChatGPT make

How to prompt engineer to get the best results from ChatGPT

How a neural network works

How a neural network generates results

The ethics of AI

How to get the best results from ChatGPT

How to frame questions for ChatGPT

Get the best answers from ChatGPT

Prompt Engineering

Methodology of Prompt Engineering

Case Studies from Business and Science on Prompt Engineering

Best practices of Prompt Engineering

Requirements

Course is designed for non technical professionals

Students who want to learn about Artificial Intelligence and ChatGPT.

Enthusiasts who want to explore the world of Artificial Intelligence and ChatGPT.

Professionals who want to implement ChatGPT in their work.

Business Leaders who want to harness the power of ChatGPT

No prior experience of Prompt Engineering Required

Basic understanding of the English Language

Description

This course on "Mastering Prompt Engineering with ChatGPT" is designed to provide learners with a comprehensive understanding of how to use ChatGPT effectively. In this course, you will learn about the history of Artificial Intelligence, the basics of Natural Language Processing (NLP), how ChatGPT is made, how data is fed into it, what a neural network is, and how to ask questions to get the best out of ChatGPT.The course will start with an introduction to Artificial Intelligence and the types of AI, followed by an in-depth look at ChatGPT, its architecture, and applications. You will learn about the fundamentals of NLP, the techniques used, and the common types of mistakes made in NLP. Additionally, you will gain knowledge about how data is fed into ChatGPT and data pre-processing techniques.You will also learn about Neural Networks and their types, followed by how to ask questions to get the best out of ChatGPT. We will cover the importance of context in ChatGPT and best practices for prompt engineering.This course is designed for students, professionals, and enthusiasts who want to learn about Artificial Intelligence and ChatGPT. No previous background is required to take this course, although a basic knowledge of programming and data analysis can be helpful.By the end of this course, you will be able to implement ChatGPT in real-world applications, gain a comprehensive understanding of its working, and explore the future of ChatGPT and Artificial Intelligence. So, let's dive into the exciting world of Prompt Engineering with ChatGPT and unlock the power of Artificial Intelligence!

Overview

Section 1: Introduction and how to use ChatGPT

Lecture 1 Introduction Video. Welcome!

Lecture 2 What this course covers

Lecture 3 Introduction to ChatGPT

Lecture 4 Capabilities of ChatGPT

Lecture 5 Applications of ChatGPT

Lecture 6 What is Prompt Engineering?

Lecture 7 What is Prompt Engineering

Lecture 8 Elements of a Prompt

Lecture 9 General Tips for designing prompts

Lecture 10 Examples of Prompts

Lecture 11 Best practices for Prompt Engineering

Lecture 12 More Examples of Prompts

Lecture 13 Zero Shot Prompt

Lecture 14 Few Shot Prompt

Lecture 15 Chain of Thought Prompts

Lecture 16 Self Consistency Prompt

Lecture 17 General Knowledge Prompts

Lecture 18 Automatic Prompt Engineer

Lecture 19 Active Prompt

Lecture 20 Applications of ChatGPT - Examples

Lecture 21 More applications of ChatGPT

Lecture 22 The Future of ChatGPT

Lecture 23 Advanced Prompt Engineering

Lecture 24 How to give instructions to ChatGPT

Lecture 25 Learning Role Prompting

Lecture 26 Learning Few Shot Prompting

Lecture 27 Why we need Prompt Patterns

Lecture 28 Prompt Pattern Catalog - I

Lecture 29 Prompt Pattern Catalog - II

Lecture 30 Meta Language Pattern

Lecture 31 Error Resolution Pattern

Lecture 32 Alternative Approaches Pattern

Lecture 33 Explanation Pattern

Lecture 34 Fact Checklist Pattern

Lecture 35 Infinite Generation Pattern

Lecture 36 Game Play Pattern

Lecture 37 Refusal Breaker Pattern

Lecture 38 Context Manager Pattern

Lecture 39 Recipe Pattern

Lecture 40 Examples of Good Prompt Engineering

Lecture 41 Understanding AI Minds

Section 2: Basic Applications of ChatGPT

Lecture 42 Summarizing text with ChatGPT

Lecture 43 Structuring Data using ChatGPT

Lecture 44 Writing an email with ChatGPT

Lecture 45 Blog posts with ChatGPT

Lecture 46 Study Buddy with ChatGPT

Lecture 47 Coding Assistance with ChatGPT

Lecture 48 Excel Formulas and Data Analytics using ChatGPT

Lecture 49 Multiple choice questions with ChatGPT

Lecture 50 Case studies on prompting

Section 3: Case Studies for Professionals

Lecture 51 Basics of Prompting - Recap

Lecture 52 Marketing Prompts using ChatGPT

Lecture 53 HR Prompts using ChatGPT

Lecture 54 Finance Prompts using ChatGPT

Lecture 55 Developer Prompts using ChatGPT

Lecture 56 Excel Prompts using ChatGPT

Section 4: History of AI, mechanics of ChatGPT and Applications

Lecture 57 History and Evolution of AI

Lecture 58 History of Neural Networks

Lecture 59 History of Natural Language Processing

Lecture 60 History of Large Language Models

Lecture 61 How ChatGPT works

Lecture 62 DAN and prompt hacking

Lecture 63 Jeoffrey Hinton's views on what AI can achieve

Section 5: Ethics of AI and implications

Lecture 64 Introduction

Lecture 65 Potential Implications of ChatGPT's humanlike output

Lecture 66 Pros and Cons of ChatGPT's human like response

Lecture 67 Identify the limitations and negative impacts of ChatGPT

Lecture 68 Understand the legal implications of ChatGPT

Lecture 69 Discover the future opportunities for AI technologies

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