Siqi Chen

Practical AI Prompt Engineering with No Code

Zynga

Postmates

runway.com

Founder & CEO of Runway

Why AI is the greatest invention since fire, but you don't need to be technical to leverage it

How AI gives you superpowers

Hands-on demo of real AI tools built at Runway

Get step-by-step prompts

How to build an AI culture in your own teams

Build AI culture

Over 6 weeks, I will teach the essentials of AI through practical examples, from simple report automation to fine-tuning LLMs for unique use cases. Each weekly session will consist of hands-on examples (with code) that you can adapt to your projects and use cases. 📖 Course Overview: Acquiring a practical understanding of AI through building projects, lectures will center around specific use cases that students can leverage in developing their projects. Students learn the basics of AI, data engineering, machine learning, generative AI, prompt engineering, RAG, fine-tuning, and AI project management. 🎯 Learning Objectives1. Define key terms and concepts associated with AI2. Eﬀectively use AI tools to accelerate existing workflows3. Transform project ideas into valuable prototypes and MVPs with Python4. Develop custom AI systems using OpenAI and Hugging Face APIs5. Identify which AI techniques are best suited to a particular problem ✅ Who should take this course?This course is designed for people at the start of their AI engineering journey. While this can include many backgrounds, basic coding skills (&gt;1 year, preferably Python) are highly recommended. • IT Professionals seeking hands-on experience with AI• Researchers looking to use AI more effectively• Software Engineers building with AI systems• Business Leaders and Product Managers leading AI initiatives and teams• Entrepreneurs building AI-native products and services• Data scientists and ML Engineers new to LLM development and GenAI** **Sessions 1 and 2 will serve as a review for those with a solid grasp of ML and data science concepts. ❌ Who should NOT take this course?• People seeking mathematical and algorithmic details behind AI development.• People who want to learn LLMOps 🧑‍💻 10 example projects we will build in this course... • Automated analytics report emailer• Gmail ETL data pipeline• Machine learning email classifier• Research paper summarizer• LLM-based text classifier• (Local) Document QA Chatbot• Structuring unstructured survey data• Semantic search over Blog Posts• RAG Chatbot with LLM Blog series• Fine-tuning LLM response style

Learn AI by Building It

Provide a brief description for each module as a way to sell the value of what students will be learning throughout the course.

First Module

Second Module

Third Module

Course syllabus

Weekly live lectures with instructor and fellow cohort members.

Fridays

(Optional) reading and video content to prepare for the upcoming session.

Session Pre-work

(Optional) weekly homework to put your learnings into practice.

Weekly projects

Course schedule

Technical professionals—Get hands-on experience with AI and build the practical skills you need to advance your career in tech.

Business leaders and product managers—Gain the technical foundation needed to&nbsp;effectively lead AI initiatives&nbsp;and teams.

Entrepreneurs—Learn essential AI and ML engineering skills for developing AI-native products and services.

Who is this course for

What you’ll get out of this course

Create AI systems using machine learning, prompt engineering, fine-tuning, and beyond. Build functional prototypes that demonstrate your AI solutions as POCs.

Build custom projects from start to finish.

Build a solid foundation in Python for AI. Learn to automate tasks, create scripts, and understand key Python concepts that power AI solutions, setting the stage for more advanced AI techniques.

Develop essential Python skills.

Explore the evolution of AI, from Software 1.0 to Software 3.0, and learn how modern AI technologies like LLMs, GenAI, and prompt engineering are transforming industries and shaping the future of intelligent systems.

Understand the AI landscape.

Master a 5-step AI project management framework to guide you from problem formulation to deployment. Learn to structure AI projects efficiently, ensuring successful implementation and measurable results.

Manage AI projects effectively.

This is not about theories and abstract ideas. Rather, the guiding learning principle is to learn by building.

Shaw Talebi

Cohort 1

Cohort 2

People who can code get farther in life by solving problems with software. It is even more rare and impactful if your role is not as a developer but you can also code, for example a product manager who can code, a marketer who can code, or a sales person who can code, etc. The ability to code is a super power. These developer combos don't need to go talk to another developer in order to get something done, they can just make the thing themselves. Benefits for people who code: 1) Save time and money by building tools that automate tasks for themselves or others.2) Get promotions at work for technical contributions OR grow a business as an entrepreneur. So, why aren't you building your own software? Because learning to code is hard, and even if you know how to code, coding takes a long time. But, what if you didn't have to be the one to actually write the code? What if you could tell someone else what code to write and they did whatever you said (really fast) and never slept? This is exactly what AI can do. AI is now so good that it not only can help you code, it can even code for you. It's like having your own engineer who will build anything you want, at any hour of the day, and they just cost $20/month. What would you build if you knew how to do this? Knowing how to tell an AI to build software is the most high value skill you can learn today. Most people don't know how to do it, simply by learning a little bit you will already be one of the most skilled in the world. This course will teach you everything you need to know in order to build anything simply by telling the AI what to code. WHAT YOU WILL LEARN: - All of the tips and strategies- How to overcome issues and roadblocks- How to setup your developer environment- What AI to work with- How to build user sign in, save and pull data from a database, and integrate with services like OpenAI and Stripe- How to deploy your app for others to use WHAT YOU WILL BE ABLE TO BUILD: - Internal tools- An entire social network- AI apps- iPhone apps- Literally anything, no matter how complex or ambitious YOU SHOULD TAKE THIS COURSE IF: - You are excited to be able to build things- You are ok with getting frustrated WHY LEARN FROM ME: I have been building software since 2007 when I moved to Silicon Valley at age 19. I learned product management from Josh Elman, one of the most successful product managers in tech (LinkedIn, Facebook, Twitter, Robinhood, Apple). I've been working with AI specifically since 2016 as CEO of Octane AI, an AI company where we power AI for millions of people. I was one of the first people to get access to OpenAI's technology, years before ChatGPT was released. And more specifically... Over the past 90 days I have used AI to build at least one new app a day. I do speedruns where I see how much of an app I can build in 30 min, 60 min, etc. Just like going to the gym, but for coding with AI. I’ve also watched hours and hours of videos of developers screen sharing themselves building with AI, I’ve watched interviews with the founders of these AI tools where they give insights into their own tips and tricks, I’ve looked through forums, and chatted directly with anyone and everyone who is building this skill. Over the past three months I have gone&nbsp;very&nbsp;deep on learning everything there is to know about coding with AI. And I want as many people in the world to be able to do this too. Creating is just so fun and rewarding, my brain craves to create and coding with AI is one of the most amazing creative experiences. I’m here to deliver one very clear message to you:&nbsp;You can now build anything you ever wanted simply by telling an AI to build it for you. Social networks, cooking apps, iPhone apps, games, anything. ANYTHING. How does coding with AI work? What have people used AI to build? How exactly can you use AI to code an app? How can you copy my strategy for learning to code with AI? What does the future of coding with AI look like? I’m going to answer all of these questions for you in this course. I’m going to show you how to build an entire app. Yes you. Let’s do this.

Learn to Solve Problems With Your Own Software

Learn step by step how to start a new project, how to tell the AI what to code, and all the tips and strategies you need to build anything.

5+ Hours of Coding Lessons

Two one hour sessions a week for 3 weeks dedicated to Q&amp;A + Hands on trainings where we will code with AI together and get updates from all students on how their apps are progressing.

2x Weekly Live Coding + Q&A

You will work on your app outside of class as you learn to code with AI.

Weekly exercises and projects

Non-technical founders &amp; entrepreneurs&nbsp;who want to build their own MVPs quickly without depending on developers. Perfect for those with idea

Product Managers, Designers, Marketers, &amp; Business folks&nbsp;who want to increase their technical capabilities and build their own tools and pro

Engineers &amp; technical professionals&nbsp;looking to 10x their productivity by mastering AI-powered development workflows and tools.

It might sound intimidating, but you will learn to do this in your sleep.

How to setup your AI development environment, even if you've never coded before

This is an emerging skill and you will know all of the most current tips and strategies.

Real world tips and strategies for getting AI to code exactly what you want

You will make an actual app with NextJS, Tailwind, Supabase, and OpenAI. It will have signup/login, a database, and even AI.

You will successfully code an app, and you will be surprised at how fast you will be able to do it

You will be so good at coding with AI that you will be able to create apps and tools for work and personal use, and it will be just as easy as writing an email.

You will be able to solve problems with software

Hands on class where you will build any app you want, simply by telling AI what to do. No coding experience needed.

Matt Schlicht

The challenge: most people who don't have a technical background do not understand the reasons why products like ChatGPT, Claude, or Cursor respond the way they do. Because of this, they also don't understand how to get what they want and need out of AI tools. A quick story: my sister is a physician-scientist. She has an MD-PhD. She does cutting edge scientific research and works with data on the daily. Last year, we were on a video call where she mentioned being unimpressed with ChatGPT's response to her work question. She told me what she was trying to do, and I went, "wait, AI could definitely handle this - what did you type?" I flipped the screen, pointed it at my monitor, and proceeded to have a conversation with ChatGPT that got her all the answers she needed in just a few minutes. This "capability unlock" has gone on to save her at least an hour in her work every day. DAILY. And she was mere seconds away from having given up on it, thinking AI wasn't yet good enough to get the job done. And this is when I realized, every non-technical user needs to understand not just "prompt engineering," as you've heard described elsewhere.It's more fundamental than that. It's...• The reasons and treasons of why AI does or doesn't give you a good answer• The nuances of technical limitations (safety, length, 'correct' output)• The incredible power of chain of thought &amp; reflective techniques This 3-day intensive will cover the above, and so much more, with the outcome of getting you to become fluent in talking to AI systems, including large language models (like ChatGPT/GPT-4o out of OpenAI, Claude out of Anthropic, LLaMA out of Meta) and image generation models (like Midjourney, DALL-E, and Stable Diffusion). And when I say "fluent," I mean something very specific. Just as language fluency isn't about memorizing phrases from a travel guidebook, AI fluency isn't about collecting prompts from Twitter. True fluency means understanding the deeper patterns of interaction -- knowing when to push, when to pivot, and most importantly, why. Consider this: most courses teach you what to say to AI. This course teaches you how to think about AI conversation. It's the difference between learning to order coffee in French versus understanding why French speakers structure their thoughts the way they do. What you'll get out of the 3 day intensive - Day 1Mental Models &amp; Mechanics• What AI knows versus what it can do; how AI reads, thinks, and speaks, + biases and limits• The hidden landscape of latent space, embeddings, and vectors - what does it all mean for your usage?• Differences in AI paradigms, LLM models, genAI models, and the applications that sit on top of them Day 2Conversations &amp; Debugging• Ask the unaskable: form questions that inspire LLMs to answer you; learn the DRIVE context framework• Use layered prompting and multi-turn conversations for your most advanced queries and topics• Get AI to "think out loud," giving you more data, more insights, and the ability to iterate over time Day 3Advanced Applications• Use reflective and agentic techniques + products to get AI "working for you" - soon, you'll have a team• Get multi-modal - combine models, model types, and apps to generate fast, impactful outputs• &amp; more: analysis, tools, fine-tuning, hallucinations, ethical considerations, and real world use And more• retrieval augmented generation (RAG), code use, integration + extensions, voice-based nuances• chain of thought, reflection, context windows, and other AI concepts explained• how do apps make use of LLMs, how is AI being integrated by companies across tech At the end of this 3-day intensive, you'll...• be able to transform vague ideas into incredible outputs, whether you're brainstorming, working with data and statistics, coding with AI, using it for workflow, asking it knowledge questions, utilizing it for research, adopting it as a content companion, or using it in an academic setting• troubleshoot and debug AI responses - you'll know when you've hit a real limit versus a bug or user error, unlocking the boundaries of what AI can do before anyone else -- no matter the field you're in• future-proof your skills - because you're going to have a deep understanding of how these products work, you'll remain capable of using them as the models are continuously updated and evolved, even as the rapid pace of AI development continues It's about harnessing the power of this transformative technology to amplify your own creativity, productivity, and impact on the world. Get ready to go beyond "prompt engineering" and embark on a journey to truly master the art and science of communicating with AI. Are you ready to unlock the conversation?

You're probably bad at talking to AI. I'll make it your smartest friend.

3 days of live classes

Can't make it to the live classes or want to watch them again later? We'll make each day's content available same-day for all students.

Access recordings forever

There will be several projects and optional group workshops to turn the content into usable muscle - attend live for instructor feedback, or access projects, examples, and templates at your own pace - including permanent access after the course ends.

Daily projects (optional)

Non-technical or semi-technical professionals (throughout knowledge work) looking to gain an upper hand in this AI moment.

Anyone who has felt the gap between AI's potential, what they hear about what it can do, and their ability to access the upside.

NOT for engineers who already use LLM copilots every day. NOT for people looking for quick prompt templates.

You'll learn about the cognitive architecture that underpins not just LLMs, but the way that products and apps are built around them. These patterns will work across AI models and will continue working as systems evolve.

Instead of AI prompt templates, learn conversational design patterns

It's hard for even the most AI-passionate people to integrate and reliably, consistency use AI products. I'll give you systems, shortcuts, and methods for making it second nature -- we'll build your AI muscle.

Instead of treating ChatGPT like a magic answer box, you'll make it a constant companion

"Why does it hallucinate here, but not there? When should I restart a conversation versus redirect it? Why does it sometimes forget what we just discussed? How does its sourcing work? When is more context good versus bad?" You'll know. And you'll know what to do next.

Instead of getting frustrated, you'll know how to iterate your way to results

You'll master the art of progressive refinement, building complex outputs and systems, and be able to leverage all of this to be top .5% in your field -- whether that's at work, with a hobby, with a side project, or with something personal.

Instead of being left behind, you'll get and stay ahead of the AI curve

Develop a foundational understanding of how AI & LLMs see, hear, and read your input, + how to use them to 10x your output speed and impact.

Sherveen Mashayekhi

Founder & CEO @ Free Agency; Product Leader @ Stella (AI job matching), Toptal

Curious about breaking into AI without coding? This course is designed for professionals from all backgrounds—whether you’re in healthcare, finance, retail, marketing, or any other field—to explore new roles in the expanding AI industry. Just as the software boom of the 1980s and 90s transformed non-technical roles, AI is creating exciting opportunities for those who bring industry insights to the table. Over three weeks, we’ll cover the essentials of AI and explore practical applications across industries, so you can understand how machine learning, NLP, and other AI tools are reshaping the landscape. That’s where "AI for Non-Coding Professionals" comes in.Over three weeks of live sessions with Q&amp;A, hands-on assignments, and a supportive community, this course will give you a solid foundation in AI essentials and the confidence to build a career in roles like AI Product Manager, Consultant, or Ethics Specialist. Each session is recorded so you can revisit the material whenever you need. 💻🎁 One lucky winner from this cohort will receive a Dell Latitude 7650 Laptop worth ~2300$, and an autographed copy of Aishwarya Srinivasan's book - What's your worth? 📒 Here’s What You Can Expect: 🤖 Strategic Foundations of AI for Non-CodersUnderstand the AI ecosystem, identify where AI can add value in your field, and discover emerging roles tailored for professionals without coding backgrounds. Gain insights into high-impact applications in sectors like healthcare, finance, and retail. 📚 Deep Dive into AI Technologies &amp; Ethical EvaluationLearn about core AI models—predictive analytics, recommendation engines, anomaly detection—and build a toolkit for evaluating AI tools ethically, focusing on business impact and responsible use. 🚀 The AI Project Journey and Your Career RoadmapWalk through each stage of an AI project lifecycle, from concept to deployment, and see where your skills fit best. Build a practical roadmap for transitioning into an AI-focused role and define the steps to get there, such as certifications, projects, or networking. ⭐️ BONUS MODULE: Boosting Productivity with AI ToolsThis course offers a bonus module focused on practical AI tools to enhance your daily work and productivity. This module covers essential use-cases for non-coding professionals, equipping you with powerful tools to automate tasks, streamline workflows, and gain insights without needing technical expertise. - Automate Routine Tasks: Discover tools to handle repetitive tasks, saving time on data entry, report generation, and project updates.- Effortless Content Creation: Use AI to draft emails, reports, and social posts, ensuring quality communication with minimal effort.- Actionable Data Insights: Explore tools that analyze feedback and visualize trends, turning complex data into easy-to-understand insights.- Staying Updated in AI: Set up tailored alerts and newsletters to keep up with AI trends that impact your field without information overload. 🎁 Plus Exclusive Features: 🙋‍♀️ One-Hour AMA SessionJoin me for a dedicated Ask-Me-Anything at the end of the course to ask open questions, discuss career paths, and tailor your AI roadmap. 🤝 Interactive Community &amp; NetworkingConnect with like-minded professionals, collaborate on assignments, and build a network of peers navigating similar journeys in AI. 📃 Industry AI Career ToolkitAccess curated worksheets and resources designed to support your journey into AI roles, from strategic planning templates to ethical AI checklists. This toolkit will help you build credibility in the field and stay grounded in ethical and practical AI applications. Whether you're aiming to transition into AI product management, consulting, or ethics roles, this course offers a well-rounded approach to AI learning, with live sessions, Q&amp;A, community support, and practical assignments. Start building the roadmap to transform your career in AI, even without a technical background.

Transform your career with AI and step into high-impact roles, with no coding!

If your events are recurring and at the same time, it might be easiest to use a single line item to communicate your course schedule to students

Tuesdays & Thursdays

Feel free to type out dates as your title as a way to communicate information about specific live sessions or other events.

May 7, 2022

Schedule items can also be used to convey commitments outside of specific time slots (like weekly projects or daily office hours).

Perfect for professionals with industry expertise in customer insights, compliance, or business strategy who want to leverage AI at work

Designed for individuals starting their careers in non-technical fields who are eager to understand AI and explore new roles within the grow

Ideal for those aiming to shape AI strategy, product management, or ethics, and lead responsible AI initiatives in their fields.

Gain a solid foundation in AI and how it's impacting industries like healthcare, finance, and retail. You’ll learn to identify where AI can add value in your field, understand key challenges, and recognize bottlenecks that impact successful AI adoption.

Understand AI’s Core Concepts and Industry Applications

Explore roles like AI Product Manager, Consultant, &amp; Ethics Specialist, tailored for non-coders. You’ll learn to assess engineering feasibility, prioritize efforts, and direct resources effectively, bridging the gap between business needs &amp; technical capabilities—without coding.

Follow a Structured Roadmap to Non-Technical AI Roles

Engage in practical, industry-relevant tasks to apply AI concepts directly to your field. These exercises will deepen your understanding of real-world AI challenges, ethical considerations, and the effort required to make AI solutions viable and impactful.

Apply your expertise to real-world AI scenarios with hands-on tasks.

Learn how to use AI tools to streamline tasks, address complex problems, and improve productivity. By the end, you’ll be equipped to integrate AI into your daily work and make strategic decisions, confidently identifying where AI efforts should be focused for maximum impact.

Leverage AI Tools for Productivity and Problem-Solving

Unlock new career paths in AI without coding! In just 3 weeks, dive into high-impact roles like AI Product Manager, AI Consultant & more 🚀

Lightning Lessons

Practical AI Prompt Engineering with No Code