Table of Contents

Introduction to Prompting

Learning prompting and prompt engineering is one of the most critical skills in leveraging AI, whether you are an AI engineer or you are somebody who uses ChatGPT to summarise or write basic drafts. Your technical capabilities, role or type of work are all immaterial when it comes to prompting. Understand this - your ability to harness AI depends on how well you can structure your ask of AI especially language models. Since they are language models, they are designed to understand language. And, the art of prompting is for you to be able to express your ask in the most optimised manner.

In this particular post, I am sharing with you my personal favourite list of 60 comprehensive resources that I have utilised or have consumed over the past 1.5 years to improve my prompting game as well as understand language models and their applications in a better way.

The resources are broken into multiple categories to help you pick the most convenient and easiest ways for you to learn prompting and ranges from YouTube videos, communities, research papers, courses, guides to documentation by the LLM makers themselves.

So let us dive in!

My Top Resources

High Signal Courses

Official Platform Docs (sources of truth)

OpenAI (ChatGPT) specific Resources:

Visual (Image) Prompting

  • Midjourney Documentation

    • Publisher: Midjourney

    • Type: Documentation

    • Cost: Free to read (generation is paid)

    • Time: Self-paced

    • Covers: Parameters, stylization controls, and best practices for image prompting.

Blogs & Thought Leaders

  • One Useful Thing (Ethan Mollick)

    • Publisher: Ethan Mollick (Substack)

    • Type: Blog/newsletter

    • Cost: Freemium

    • Time: Article-by-article

    • Covers: Practical mental models and real-world use of AI for work and learning.

  • Simon Willison’s blog

    • Publisher: Simon Willison

    • Type: Blog

    • Cost: Free

    • Time: Article-by-article

    • Covers: Clear, developer-friendly explanations of LLM behavior and tools.

  • The Batch (DeepLearning AI newsletter)

    • Publisher: DeepLearningAI

    • Type: Newsletter

    • Cost: Free

    • Time: ~5–10 minutes per issue

    • Covers: Research and product updates that influence prompting and model behavior.

  • Lil’Log (Lilian Weng)

    • Publisher: Lilian Weng

    • Type: Research blog

    • Cost: Free

    • Time: Deep reads (often 15–45+ minutes)

    • Covers: Dense but excellent “why it works” explanations (agents, reasoning, architectures).

Newsletters for Staying on Top of AI

  • The Rundown AI

    • Publisher: The Rundown

    • Type: Newsletter

    • Cost: Free (often with paid tiers)

    • Time: ~5 minutes per issue

    • Covers: Daily/regular AI news and practical updates.

  • Work in Beta

    • Publisher: Priyadeep Sinha

    • Type: Newsletter

    • Cost: Free

    • Time: ~5 minutes per issue

    • Covers: AI systems, workflows and knowledge to build your own AI OS.

  • The Neuron

    • Publisher: The Neuron

    • Type: Newsletter

    • Cost: Free (often with paid tiers)

    • Time: ~5 minutes per issue

    • Covers: Digestible AI news and quick learning bites.

  • Superhuman (AI newsletter)

    • Publisher: Superhuman AI

    • Type: Newsletter

    • Cost: Free (often with paid tiers)

    • Time: ~5–10 minutes per issue

    • Covers: AI tools, workflows, and productivity-oriented examples.

  • Ben’s Bites

    • Publisher: Ben Tossell

    • Type: Newsletter

    • Cost: Freemium

    • Time: ~5–10 minutes per issue

    • Covers: Product + tool updates with a practical, builder mindset.

  • TLDR AI

    • Publisher: TLDR

    • Type: Newsletter

    • Cost: Free

    • Time: ~5 minutes per issue

    • Covers: AI news roundups (good for tracking model releases and shifts).

Communities, Prompt Libraries and Practice Platforms

  • r/ChatGPT (Reddit)

    • Publisher: Reddit community

    • Type: Community forum

    • Cost: Free

    • Time: Ongoing

    • Covers: Real-world prompt attempts, failures, and practical Q&A (quality varies).

  • r/PromptEngineering (Reddit)

  • FlowGPT (prompt gallery)

    • Publisher: FlowGPT

    • Type: Prompt gallery

    • Cost: Freemium

    • Time: Self-paced browsing

    • Covers: Community prompt examples; verify quality and watch for unsafe/jailbreak content.

  • Roadmap.sh: Prompt Engineering Roadmap

  • Learn Prompting community

    • Publisher: LearnPrompting

    • Type: Course + community entry point

    • Cost: Free

    • Time: Ongoing

    • Covers: Practice and learning path; community links are available from the site.

  • OpenAI Community (forum)

    • Publisher: OpenAI

    • Type: Community forum

    • Cost: Free

    • Time: Ongoing

    • Covers: Discussions, debugging, and announcements.

  • Midjourney Discord (official invite)

    • Publisher: Midjourney

    • Type: Community chat

    • Cost: Free to join

    • Time: Ongoing

    • Covers: Prompt-help channels and community techniques.

  • OpenAI Discord (community invite may change over time)

    • Publisher: OpenAI community

    • Type: Community chat

    • Cost: Free to join

    • Time: Ongoing

    • Covers: Real-time Q&A and prompt debugging (availability may vary).

  • God of Prompt (prompt library)

    • Publisher: God of Prompt

    • Type: Prompt library

    • Cost: Freemium

    • Time: Self-paced

    • Covers: Ready-to-use prompts; verify and adapt rather than copy-paste blindly.

Research Papers / Surveys

  • Prompt Report / Systematic Survey of Prompting Techniques (arXiv)

    • Publisher: arXiv (academic)

    • Type: Survey paper

    • Cost: Free

    • Time: 1–3+ hours (dense)

    • Covers: A broad taxonomy of prompting techniques and evaluation considerations.

Books (good when you want depth and coherence)

YouTube (ongoing learning)

  • DeepLearning.AI (YouTube)

  • The AI Advantage (Igor Pogany)

  • 1LittleCoder

  • Matthew Berman

  • Sentdex

  • Andrej Karpathy

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