Who should I follow to learn about Prompt engineering?

If you want to **actually get good at prompt engineering**, rather than just collect “prompt hacks,” I’d follow a small group of people and organizations. ### My shortlist - **Andrew Ng** - Best for structured learning and understanding *why* prompting techniques work. His DeepLearning.AI course with OpenAI’s Isa Fulford is still a great starting point. [ChatGPT Prompt Engineering for Developers - DeepLearning.AI](https://www.deeplearning.ai/courses/chatgpt-prompt-eng?src=Welcome.AI&utm_source=chatgpt.com) - **Riley Goodside** - One of the people I’d watch most closely for advanced prompting and what is now often called **context engineering**. [A quote from Riley Goodside](https://simonwillison.net/2023/Jan/23/riley-goodside/?utm_source=chatgpt.com) - **Simon Willison** - Excellent for understanding LLMs, prompt injection, context, tools, and practical AI experimentation. - **Andrej Karpathy** - Not primarily a “prompt engineer,” but exceptionally good for understanding how LLMs actually work, which makes you much better at prompting them. [prompting-blueprints/01-about-author/ai-people-to-follow.md at main · TomasHer/prompting-blueprints · GitHub](https://github.com/TomasHer/prompting-blueprints/blob/main/01-about-author/ai-people-to-follow.md?utm_source=chatgpt.com) - **Ethan Mollick** - Best if your goal is using AI effectively for work, research, writing, decision-making, and productivity rather than becoming technical. - **Anthropic's researchers/educators** - Particularly valuable for modern prompting, agents, tool use, and Claude. Their guidance is increasingly focused on practical system design rather than old-school “magic prompt” tricks. - **OpenAI's official guidance** - Worth following because prompting is changing rapidly as models improve. In 2026, good prompting is increasingly about **specifying the task, providing the right context, defining constraints, and evaluating results**, rather than finding clever phrases. [7 Free Guides to Master AI Prompting (2026)](https://thecentral.ai/p/free-guides-to-master-ai-prompting?utm_source=chatgpt.com) ### If I were starting today I'd do this: **1. Learn the fundamentals:** [DeepLearning.AI - ChatGPT Prompt Engineering for Developers](https://www.deeplearning.ai/courses/chatgpt-prompt-eng?utm_source=chatgpt.com) - short and hands-on. [ChatGPT Prompt Engineering for Developers - DeepLearning.AI](https://www.deeplearning.ai/courses/chatgpt-prompt-eng?src=Welcome.AI&utm_source=chatgpt.com) **2. Follow Riley Goodside + Simon Willison** for advanced ideas. **3. Follow Andrew Ng + Ethan Mollick** for practical applications. **4. Study the official OpenAI/Anthropic prompting documentation** rather than relying on TikTok/YouTube “100 secret prompts” content. One important shift: **don't aim to memorize prompt templates.** Aim to learn how to give an AI a precise specification, supply useful context, establish constraints, define the desired output, and then iteratively test and improve it. If you tell me **what you want to use prompting for** (business, coding, research, writing, investing, automation, career, etc.), I can give you a **top 5 people-to-follow list + a 30-day learning path** specifically for that goal.

**To learn prompt engineering, follow a mix of YouTube educators, Twitter/X influencers, and specialized blogs. The best sources combine practical tutorials, real-world applications, and cutting-edge experiments.** ## 📺 YouTube Channels These creators offer structured lessons and hands-on demonstrations: Channel| Focus| Why Follow ---|---|--- **Matthew Berman**| Tutorials \+ AI news| Clear, practical guides for crafting prompts. **DeepLearning.AI**| Generative AI \+ ML| Professional, structured lessons from Andrew Ng’s team. **Sentdex**| Data science \+ AI| Deep dives into prompt engineering with coding context. **Yannic Kilcher**| AI research breakdowns| Explains theory behind prompts and LLMs. **Prompt School (PromptHero)**| Real-world applications| Shows how prompts apply in marketing, coding, and art. **Learn Prompting**| Beginner-friendly| Bite-sized lessons for newcomers. [10 Best YouTube Channels to Learn Prompt Engineering in 2026](https://www.placementpreparation.io/blog/best-youtube-channels-to-learn-prompt-engineering/)[Top YouTube Channels to Learn Prompt Engineering in 2025](https://www.analyticsinsight.net/tech-news/top-youtube-channels-to-learn-prompt-engineering-in-2025) ## 🐦 Influencers on X (Twitter) These individuals share daily experiments, prompt libraries, and creative workflows: * **Saman(@Samann_ai)** – AI video art \+ prompt engineering * **Ege(@egeberkina)** – Daily AI image drops, prompt mastery * **Pierrick Chevallier (@CharaspowerAI)** – Cinematic workflows \+ expert prompt shares * **Ashutosh Shrivastava (@ai_for_success)** – AI tools, tutorials, and prompt tips * **Rajesh(@r4jjesh)** – Playful prompt-driven portrait edits [20 AI Influencers to Follow for Image Generation and Prompts on X (Twitter)](https://blog-content.circleboom.com/ai-influencers-to-follow-for-image-generation-and-prompts-on-x-twitter/) ## 📝 Blogs & Websites For deeper theory and written resources: * **PromptHub** – Practical tactics and tips for better prompts * **LearnPrompting.org** – Community-driven tutorials and guides * **PromptLayer Blog** – Technical insights on managing prompts in production * **Portkey.ai Blog** – Benchmarks and deployment strategies for LLMs * **Lee Boonstra’s Blog** – Conversational AI \+ prompt engineering in enterprise contexts [10 Best Prompt Engineering Blogs to Follow in 2026](https://bloggers.feedspot.com/prompt_engineering_blogs/) ## ⚠️ Key Considerations * **Avoid outdated sources**: Prompt engineering evolves quickly; prioritize creators who update content regularly. * **Balance theory and practice**: Blogs often explain _why_ prompts work, while YouTube/Twitter show _how_ to use them. * **Watch for hype**: Some influencers focus on flashy AI art rather than practical prompt design - great for inspiration, but not always useful for structured learning. 👉 If you’re starting out, I’d recommend **LearnPrompting.org** for fundamentals, **Matthew Berman** or **Sentdex** for tutorials, and following **Saman** or **Ashutosh Shrivastava** on X for daily inspiration. Would you like me to create a **step-by-step learning roadmap** (beginner → advanced) using these sources so you know exactly where to start and how to progress?

The top experts, researchers, and creators to follow for prompt engineering span open-source guides, practical frameworks, and developer documentation: **Core Researchers & Guides** * **Elvis Saravia (DAIR.AI):** Creator of the _Prompt Engineering Guide_ , the industry-standard open-source resource detailing everything from zero-shot prompting to advanced chain-of-thought frameworks. * **Riley Goodside (Scale AI):** Widely recognized as the world's first professional prompt engineer. His insights on X (Twitter) offer deep dives into edge cases, system instructions, and handling constraints safely. **Practical Educators & Academics** * **Andrew Ng & Isa Fulford:** Co-creators of the foundational "ChatGPT Prompt Engineering for Developers" course via DeepLearning.AI, which translates OpenAI’s core guidelines into repeatable developer patterns. [Top 10 AI Prompt Engineering Experts For Business Automation](https://www.feedspot.com/blog/ai-prompt-engineering-blogs/#:~:text=Fulford%20researches%20at%20OpenAI%20and%20co%2Dteaches%20the,systems%20reflect%20lessons%20from%20OpenAI's%20customer%20base.) * **Ethan Mollick:** Wharton professor and author of the _One Useful Thing_ newsletter. He focuses heavily on applied prompt engineering for business workflows, decision-making, and everyday productivity. **Platform & Ecosystem Insights** * **Logan Kilpatrick:** Offers valuable perspectives from a developer ecosystem standpoint on how model updates shift prompt writing best practices. **Official Documentation Sources** * **OpenAI Cookbook & Anthropic Prompt Engineering Interactive Tutorials:** While not individuals, the official documentation hubs managed directly by top AI labs remain the most rigorous and up-to-date source for production-grade prompt patterns. Are you looking to learn prompt engineering for software application development, or for personal and professional productivity workflows?

To master prompt engineering, it helps to follow the people actually building the frontier models, writing the official documentation, and experimenting with system-level design. The best individuals, resources, and engineering teams to follow include: 1\. The Researchers & Lab Experts (For Deep Mechanics) * * * **_Andrej Karpathy_** ([@karpathy](https://twitter.com/karpathy)): Former Director of AI at Tesla and co-founder of OpenAI, Karpathy regularly breaks down how neural networks and language models actually function under the hood, which fundamentally changes how you approach writing a prompt. * * * **_Alex Albert_** ([@alexalbert__](https://twitter.com/alexalbert__)): Head of Developer Relations at Anthropic, Alex frequently shares advanced prompting tactics, prompt caching tips, and production-ready engineering approaches for Claude. * * * **_Amanda Askell_** (@AmandaAskell__): Philosopher and AI researcher at Anthropic who leads the team tuning Claude’s character and behavior; her insights on RLHF and model alignment are gold for understanding _why_ models respond the way they do. * * * **_Isa Fulford_** : Member of the technical staff at OpenAI who co-created the foundational developer prompting guides and co-authored popular courses on the subject. [ChatGPT Prompt Engineering for Developers - DeepLearning.AI](https://www.deeplearning.ai/courses/chatgpt-prompt-eng)[20 Best AI Accounts to Follow on X (Twitter) in 2026 - Uxcel](https://uxcel.com/blog/best-ai-accounts-to-follow)[The Best AI Engineers to Follow on X in 2026 | daily.dev](https://daily.dev/blog/best-ai-engineers-to-follow-on-x/)[ChatGPT Prompt Engineering for Developers (Short Course)](https://www.coursera.org/projects/chatgpt-prompt-engineering-for-developers-project) 2\. Educators & Practical Implementers (For Real-World Workflows) * * * **_Andrew Ng_** (@AndrewYNg): Co-founder of Coursera and head of DeepLearning.AI. His practical, no-hype educational breakdowns - such as the [ChatGPT Prompt Engineering for Developers](https://www.deeplearning.ai/courses/chatgpt-prompt-eng) course co-developed with OpenAI - are essential starting points. * * * **_Simon Willison_** ([@simonw](https://twitter.com/simonw)): An independent engineer who extensively documents practical, hands-on experimentation with prompting, data extraction, and local LLMs on his personal blog and X. * * * **_Ethan Mollick_** ([@emollick](https://twitter.com/emollick)): Wharton professor who writes widely about the practical, evidence-based application of prompts in education, work, and everyday productivity. [Thrilled to announce: Our new course ChatGPT Prompt](https://www.linkedin.com/posts/andrewyng_thrilled-to-announce-our-new-course-chatgpt-activity-7057374526451445760-kA1T)[Top 10 AI Prompt Engineering Experts For Business Automation](https://www.feedspot.com/blog/ai-prompt-engineering-blogs/) 3\. Official Documentation & Guides Instead of just social media hype, the absolute highest-signal material comes straight from the source: * * **Anthropic Prompt Engineering Interactive Library:** Anthropic maintains one of the most comprehensive and clean documentation hubs for advanced prompting, system prompts, and multi-shot examples. * ** _OpenAI Cookbook & Documentation_:** Features developer-centric guides on how to structure inputs, use developer messages, and format JSON/structured outputs. * Are you looking to learn prompt engineering for **building software/APIs** , for **business automation/marketing** , or just to **get better results from daily chat tools**? Let me know and I can point you toward specific guides or tutorials.