Upon completion of this course, you will be able to:

• Understand the fundamental concepts of GPTs and their applications

• Develop effective prompting techniques for ChatGPTs

• Generate chatbots that can respond naturally

• Infer meaning from unstructured text data

• Generate high-quality images from textual input

• Apply prompt engineering principles to generate high-quality text output

• Create brand logos, illustrations, and photorealistic images

• Create custom prompts for specific use cases

The following items describe the outline of the course:

Day 1:

Introduction

• Overview of GPTs and their applications

• What is Prompt Engineering?

• ChatGPT, Llama, and open-source LLMs

Introduction to ChatGPT

• What is ChatGPT?

• Prompting ChatGPT

• ChatGPT capabilities and limitations

Five Pillars of Prompt Engineering

• Providing Examples

• Giving Direction

• Adjusting Parameters

• Formatting Responses

• Chaining AIs

Effective ChatGPT Prompting

• Role-Based Prompting

• Strategies for role-based prompting

• Chain of Thought (COT) Prompting

• Techniques

• Best practices for Role-Based and COT prompting

• Zero-Shot and Few-Shot prompting

• Best practices for Zero-shot and Few-Shot prompting

Iteratively Improving Your Prompts  

• Continuously improving your prompt

• Summarizing and Extracting Text

• Hands-on Exercises with iterative, summarization and extraction prompts

Day 2:

Interring and Transforming 

• Inferring from text

• Text transformation tasks

• Language translation

• Correcting spelling and grammar

• Tone adjustment

• Format conversion

Responding and Expanding

• Sentiment analysis

• Craft customer support emails

• Craft cold marketing scripts

• Hands-on Exercises

Chatbots

• Building your own chatbot

• Hands-on Exercise – Orderbot

Generating Dummy Data

• Generate names, lists, and other data

• Creating tables and data schemas

• Hands-on Exercises

Assuming a Persona

• Explain it to me like I’m five

• Adopt the style of a famous person

• Generating poetry, literature, and other creative text

Text to Image Generation

• Summarizing code

• Generating comments

• Creating functionality

• Chunking as a strategy to overcome token limits

• Vector databases – Pinecone and Redis

• Github Copilot, StarCoder, etc

Code Generation

• Question rewriting and paraphrasing

• Meta prompting

• Reason and Act (ReACT)

• Recursive Reprompting and Revision

Day 3:

Text to Image Generation

• Using ChatGPT to generate image generation prompts

• Midjourney, Dall-E, Stable Diffusion

• Capabilities and Limitations of Image Generators

Text to Image Generation

• Inpainting

• Outpainting

• Style Modifiers

• Quality Boosters

• Negative prompts

• Image weights

• Chaos, seeds, aspect ratios

Advanced Image Generation

• Meme unbundling

• Describe and prompt reverse-engineering

• Meme mapping

• Dreambooth

Text to Speach Generation

• Using ChatGPT to create scripts for short movies, ad copy, and more

• Hands-on exercises

Text to Video Generation

• D-ID, Synthesia, and more

• Combining ChatGPT script generation with text to speech and video

• Hands-on exercises

Text Generation Sample Projects 

• SEO-optimized blog articles

• Social media posts

• Generating summaries, descriptions, objectives

Image Generation Sample Projects

• Vector art and illustrations

• Designing brand logos

• Photorealistic images