ChatGPT,HuggingChat,Google Bard: Advanced Prompt Engineering

Course Curriculum

Chapter 1: Introduction and Setup

Lecture 1: Introduction Video. Welcome!

Lecture 2: What this course covers

Lecture 3: Learning how ChatGPT works

Lecture 4: What does ChatGPT do for your brain – System 1 vs System 2 Thinking Neuroscience

Lecture 5: Setting up ChatGPT, HuggingFace, Lexica.Art and Bing.com/create

Lecture 6: Google's Rival Bard is Better ? And Other tools for specialised applications.

Lecture 7: What you see when you log in, ChatGPT playground and limitations

Lecture 8: My WorkBench when using ChatGPT and other LLM's

Lecture 9: What is ChatGPT – The Fundamentals

Lecture 10: Iterative

Lecture 11: Summarizing

Lecture 12: Inferring

Lecture 13: Transforming

Lecture 14: Expanding

Lecture 15: Making ChatGPT "think" for you

Lecture 16: WARNING!!! ChatGPT generates FALSE!!! content

Lecture 17: Understanding Neural Networks, mistakes and differing output

Lecture 18: ChatGPT can access websites post 2021!

Lecture 19: Capabilities of ChatGPT – Recap from last lectures

Chapter 2: Prompt Engineering Basics

Lecture 1: What is Prompt Engineering

Lecture 2: Applications of Prompt Engineering

Lecture 3: Prompt Design

Lecture 4: Types of Prompts

Lecture 5: Understanding How to make great prompts based on previous examples

Lecture 6: Zero Shot Prompts

Lecture 7: Few Shot Prompts

Lecture 8: Learning Few Shot Prompting

Lecture 9: One Shot vs Few Shot Prompts

Lecture 10: Memory of a Goldfish. Why ChatGPT keeps "forgetting"

Chapter 3: Basic Prompt Engineering Techniques

Lecture 1: Why is Context So Important in Prompts?!

Lecture 2: Setting the Parameters (Context) of a Prompt

Lecture 3: Why we need Prompt Patterns

Lecture 4: Template Based Prompts

Lecture 5: Example of Template Based Prompting

Lecture 6: Chain of Thought Prompting Techniques

Lecture 7: General Knowledge Prompts

Lecture 8: Automatic Prompt Engineer

Lecture 9: Learning Role Prompting

Lecture 10: Applications of ChatGPT – Examples

Lecture 11: Your Prompt Engineering Checklist

Lecture 12: Consolidating your knowledge so far – How to give instructions to ChatGPT

Chapter 4: Syntax of Prompt Engineering

Lecture 1: Introduction

Lecture 2: ACT LIKE

Lecture 3: INCLUDE

Lecture 4: FIND

Lecture 5: TRANSLATE

Lecture 6: DEFINE

Lecture 7: CONVERT

Lecture 8: CALCULATE

Lecture 9: GENERATE

Lecture 10: LIST

Lecture 11: CAUSE

Lecture 12: IMPACT

Lecture 13: REASON

Lecture 14: RECOMMEND

Lecture 15: EXPLAIN

Lecture 16: OTHER PROMPT SYNTAX YOU CAN USE

Lecture 17: WITHOUT

Lecture 18: AND; OR; NOT

Chapter 5: Basic Applications of ChatGPT

Lecture 1: Summarizing text with ChatGPT

Lecture 2: Structuring Data using ChatGPT

Lecture 3: Writing an email with ChatGPT

Lecture 4: Blog posts with ChatGPT

Lecture 5: Study Buddy with ChatGPT

Lecture 6: Coding Assistance with ChatGPT

Lecture 7: Generating Algorithms using ChatGPT

Lecture 8: Excel Formulas and Data Analytics using ChatGPT

Lecture 9: Multiple choice questions with ChatGPT

Lecture 10: Specialised LLM's for Academic Writing and Research

Lecture 11: Case studies on prompting

Chapter 6: Case Studies for Professionals

Lecture 1: Summary for the last section and this section – Learn through Case Studies

Lecture 2: Basics of Prompting – Recap

Lecture 3: ChatGPT for Productivity – General Introduction

Lecture 4: Marketing Prompts using ChatGPT

Lecture 5: HR Prompts using ChatGPT

Lecture 6: Finance Prompts using ChatGPT

Lecture 7: Developer Prompts using ChatGPT

Lecture 8: Excel Prompts using ChatGPT

Lecture 9: Prompt for Mathematics, Vaccines, Engineering, Chemistry

Lecture 10: ChatGPT as a Customer Service Representative? Here's why not

Chapter 7: History of AI, mechanics of ChatGPT and Applications

Lecture 1: History and Evolution of AI

Lecture 2: History of Neural Networks

Lecture 3: History of Natural Language Processing

Lecture 4: History of Large Language Models