Quantum School

Build your first quantum support vector machine

Dr. Muhammad Faryad

Associate Professor of Physics at LUMS, IBM Qiskit Advocate, QML Scientist

Understand the key similarities and differences between classical and quantum SVMs.

Quantum support vector machine model

Learn how quantum SVMs access exponentially larger kernel spaces without added computational cost.

Why quantum SVM can be better than classical SVM

Code a quantum SVM in Qiskit 2.3 and apply it to binary classification of a leukemia dataset.

Implement quantum SVM in Qiskit 2.3 on real dataset

Build AI-powered software reliably & from first principles. Learn the GenAI software development lifecycle: agents, evals, iteration & more

AI Builder/Educator (6 Million Students)

Hugo Bowne-Anderson

AI & data engineer, consultant, educator of 6+ million students (ex-Yale)

AI Builder with 15 years of experience

Stefan Krawczyk

Agentforce; Ex-Stitch Fix; 13+ Years building / productionizing data, ML, Agents

Cohort 4

Cohort 5

If you’re a software engineer or data scientist, chances are you’ve built an impressive proof of concept (POC) that showcases the potential of LLMs.But these POCs often fail to scale into reliable, production-ready applications. The result? Endless iteration cycles, unreliable outputs, and frustration as teams struggle in what we call “POC purgatory.”It doesn’t have to be this way.With the right principles, processes, &amp; workflows, you can build LLM applications that work in production, without overcomplicating pipelines or chasing trends. This course focuses on the iterative development, evaluation, and debugging practices that make AI systems production-ready.You'll learn how to build with state-of-the-art tools like RAG, fine-tuning, MCP, context enginerring, and agents, but the emphasis is on building scalable, robust systems, ensuring you leave with the mindset and skills to adapt as the technology evolves.You’ll not only learn how to design, test, &amp; deploy generative AI applications, but also how to iterate and improve rapidly. Join 300+ engineers from Meta, Netflix, Amazon, and more to create AI systems that solve real problems, deliver real value, &amp; scale with confidence.

Master the patterns and processes that underpin successful GenAI app development

Move beyond POCs and build production-ready AI systems

Build State-Of-The-Art AI Agents

Accelerate your development process with best-in-class "Evals" & LLMs Judges

Develop hands-on expertise by building GenAI and LLM apps

Showcase Tangible Results

Data scientists, machine learning engineers who are sick &amp; tired of seeing and building prototypes &amp; want to ship reliable LLM applications

Software engineers who want to learn how to build Generative AI systems and learn the LLM software development lifecycle.

Two related skills in one course: master tech to speak the same language with your team. Use it to AI-prototype features or a side project.

Lead PM @ Booking.com, PhD

Vladimir Kalmykov 

PhD Computer Science, first Tech PM in Booking.com, author at ProductDo.io 

Jan'25

Cohort April'26

✅ Why invest in learning with me?I’m a Lead PM at Booking.com, and one of the first tech PMs there, with over 10 years in the field.Before moving into product, I was a Software Developer and earned a PhD in Computer Science. I’ve worked on both sides and know exactly what technical understanding PMs need - and don't.I'll teach you exactly what matters (and why) for driving products forward. You'll get the technical and AI-building fluency needed to drive your team, no coding, no database internals, no load balancers.✅ What can better technical understanding do for your career?From a survey of 650 PMs, 56% want to speak the same language as their engineers to communicate effectively, and build trust.61% want to estimate features on their own, so they can plan better and deliver on time.And today, technical understanding also lets you quickly AI-prototype features (43%) to show it to real users. In return, AI-building allows you to better understand Tech.Finally, if you want to land a Big Tech PM role, tech skills are critical.✅ What makes this course different?The course is 20% theory and 80% hands-on:&nbsp;you’ll do over 200 exercises / 8 projects, because that’s how real skills stick.

The technical understanding a successful PM needs - nothing more.

Gain tech fluency to lead your team effectively

Gauge feature complexity without devs and write solid PRDs

Prepare to handle technical interviews

Turn ideas into clickable full-stack prototypes or even start a side-project

The course is designed to explain the tech foundations and AI-building from the first (intuitive) principles.

No prior tech or AI experience needed

Senior Product Managers who want to level up their technical acumen

Jr/Middle Product Managers who want to lead with confidence and accelerate their growth

Program/Project Managers, Producers, Designers, Data Analysts, because tech foundations are the same for everyone

"Despite being a student in Harvard’s Master’s in Data Science program, I've struggled to understand the concepts that make LLMs so impressive. This class gave me the answers." - Tony "Ishan takes a black box, rips it apart to understandable compartments, and clearly communicates what is going on. Highly recommend." - Joe, CFO ______________________________________________________________________ The current cohort completed recording on January 17th, 2025 but you can still enroll to participate asynchronously: •&nbsp;Get lifetime access to all recorded sessions, including interactive Q&amp;A segments•&nbsp;Connect with peers in our dedicated private Discord community•&nbsp;Master the material through comprehensive quizzes and training resources•&nbsp;Receive direct instructor support via email or Discord whenever you need help•&nbsp;The option to attend a future live cohort for free______________________________________________________________________ Why This Course Stands Out: You already know how vital AI is to your career—it's in every conversation, project, and strategy session. But diving into AI feels daunting with limited time for self-study or complex programming. That’s where this course comes in. Skip the endless prep work and gain an intuitive, hands-on understanding of AI and transformers in just a few hours—without needing an advanced degree. No other course offers such an interactive, fast, and in-depth technical understanding of AI using an actual GPT-2 model, all using an easy-to-learn spreadsheet interface. ______________________________________________________________________ Perfect for Busy STEM Professionals:Whether you're a developer, technical manager, or executive, this course demystifies AI and teaches you exactly how Large Language Models (LLMs) like GPT-2 work, with no prerequisites beyond a STEM background. It’s ideal for: • Software/Web Developers seeking an easy introduction to machine learning. • Science &amp; Tech Professionals navigating AI transformations in their fields. • Technical Sales/Marketing crafting messaging for AI products. • Product/Project Managers overseeing LLM-powered solutions. • Executives/Leaders guiding AI strategy in their organizations. ______________________________________________________________________ What You’ll Learn:Using a unique spreadsheet implementation of GPT-2 (the predecessor to ChatGPT), we’ll break down each model component with crystal-clear explanations. In just a few sessions, you’ll be able to: • Understand how LLMs work—as quickly as possible. • Explain every key component—tokenization, embeddings, attention, and more. • Gain AI literacy—so you can confidently lead and manage AI-driven teams. • Build a foundation for further AI projects—and even more advanced learning. ______________________________________________________________________ Why Spreadsheets?You don’t need to be a coder or a calculus expert to understand AI—just the right approach. This course uses an innovative, no-code, spreadsheet-based method to teach LLMs. It's fast, interactive, and designed for busy professionals like you. By breaking down complex AI principles into easy-to-follow spreadsheet exercises, you’ll gain a lasting, foundational understanding of how large language models work. This is knowledge you can carry across into any model, any programming language, and any project. ______________________________________________________________________ Hands-On Learning, No Programming Required: By the end of the course, you’ll have a working, detailed understanding of how transformers power LLMs like ChatGPT, Claude, and Llama. Plus, you'll have a spreadsheet tool you can explore and tweak to deepen your understanding further. ______________________________________________________________________ See it for Yourself: Still unsure? Watch the FREE lightning lesson:"Inside the Brain of an LLM: How it Works in 30 Minutes" to see how accessible AI learning can be: https://maven.com/p/eeea6f/inside-the-brain-of-an-llm-how-it-works-in-30-minutes ______________________________________________________________________ Join the Community of Learners: • “I could’ve read 20 papers on this and not gotten nearly the understanding I got from this hands-on course.”— Class Participant from Adobe • “Highly recommend this course for anyone wanting to build a foundation in LLMs. Ishan’s interactive approach makes complex concepts incredibly clear.”— Matt, Business Intelligence Analyst ______________________________________________________________________ Practical Details: • Course Access: All sessions are recorded and available to stream after the course concludes, so you’ll never miss a thing.• Reimbursement: Your company may cover this course if you're building or transitioning into AI at work. ______________________________________________________________________ New for this cohort! We've dropped the requirement for Excel. We have a browser based alternative. Some exercises may use Google Sheets and/or Python.

Skip the mountains of prep work and learn how AI works in just a few hours

Course syllabus

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).

Weekly projects

Course schedule

Executives, engineering managers, and product managers leading and coordinating technical AI teams leveraging LLMs

Developers without formal training in machine learning that want to quickly understand the LLM technology in their projects

A gentle introduction to LLMs for professionals pivoting their career to AI from traditional software engineering or other STEM fields

Anyone who can read a spreadsheet that is motivated and deeply interested in how the next wave of computing works

Who is this course for

What you’ll get out of this course

This course breaks down complex AI concepts into easy-to-follow steps using Excel, making it accessible for anyone with a STEM background.

Understand how LLMs work as quickly as possible

Precisely understand in detail the architecture and function of the GPT2 model, including tokenization, embeddings, attention, multi-layer perceptron, and layernorm.

Recognize and explain every component of an LLM

You'll gain a solid understanding of how LLMs function, enabling you to confidently engage with engineers and technical stakeholders.

AI Literacy for managing technical teams

Build a foundation that equips you with the essential knowledge to explore advanced AI topics, undertake AI projects, or pursue further coursework.

Prepare yourself for further exploration, projects, or coursework in artificial intelligence

Master AI Concepts with a Real LLM Implemented Entirely in a Spreadsheet. No Complex Math. Just Clarity. 

Jan 8—17, 2025 (On-demand)

Ishan Anand

Unlock a personalized learning experience.  Dates and times will be customized to the participant.

1-on-1 Premium Version 

A two-week sprint to rebuild your Personal OS, master the "Learning to Learn" loop, and turn your core expertise into a 5x force multiplier.

Product Leader and Super IC at Google

Google

Disney+ Hotstar

Zynga

Anshumani Ruddra

Cohort I

You're stuck in the coordination trap. Meetings, approvals, stakeholder alignment consume your weeks - but actual product work feels distant. Meanwhile, AI-empowered teams are shipping faster.This isn't your fault - the model itself is collapsing.Flattened orgs, smaller teams, and AI-driven workflows have created a new reality:The most valuable product leaders are not managers, they are high-output individuals who can take a problem from insight and strategy → functioning prototype → live productThe market is shifting toward the product Super IC - someone who can build momentum without waiting for permission, resources, or headcount.This course is not a tool tutorial. You can find those on YouTube. This is a system rebuild. Over two weeks, you will:Build a Personal Agentic OS 🤖<ul><li>⚙️ Automate meeting synthesis, PRDs, research, and stakeholder updates.</li><li>🤖 Deploy personal agents that triage signal, surface decisions, and keep your product narrative live.</li><li>🧠 Free up 10+ hours a week for real thinking.</li></ul>Master the Velocity Loop 🎯 (Learning to Learn)<ul><li>⚡ Adopt any new AI prototyping tool in hours, not weeks.</li><li>👁️ Spot signal vs hype early and act.</li><li>🚀 Move from static specs to functional prototypes.</li></ul>

Stop Trading Your Craft for Coordination. Start Multiplying Impact.

Rebuild Your Personal OS 

Master the "Velocity Loop" (Learning to Learn)

This course is not for new PMs who are still building their product muscle - strategy all the way to execution.

Your product management foundational skills are in place

This is not for people looking for a passive learning experience. This is intense and requires you to actually build things.

You are eager to learn actively

Product Leaders (VPs/ Directors) who are tired of being a "Coordinator" and want to return to building.

Founders &amp; Solopreneurs who need to act as a 10-person product team with zero headcount. You need speed and independence.

Staff Engineers &amp; Designers who want to move upstream into product strategy and ownership without leaving your technical edge.