Carmelo Iaria

Go from Idea to Deployed Multi-Agent App in 30 minutes

Cisco

Claro Brasil

The AI Academy

CEO at Synaptic AI Consulting | Perplexity Business Fellow

Learn a clear, repeatable process to turn business needs into live multi-agent AI solutions.

How to apply a Plug-and-Play Workflow to any Use Case

Discover how to use Perplexity, CursorAI, and CrewAI to define, architect, and build a production-ready AI solution

Build complex Multi Agents Systems using proven tools

Build AI solutions—from idea to launch—independently and confidently, bridging skills across tech and business.

Master the End-to-End AI Product Pipeline

If you're like many ambitious professionals, you're not new to AI. You use the tools, follow the news, and see the potential. Yet, you feel a persistent gap between your current usage and what's truly possible. You probably recognize these challenges: 1. Your AI usage feels ad-hoc. You can write impressive prompts and accomplish isolated tasks, but you lack a systematic way to build reliable, scalable solutions that integrate into complex workflows. You see impressive demos online but don't have a clear path to building them yourself. 2. You're struggling to distinguish signal from noise. The relentless stream of new models, research papers, and "ultimate guides" is impossible to keep up with. You worry that you're investing time in learning skills and tools that will become obsolete in a few months. You need a way to identify the foundational principles that last. 3. You see a massive career opportunity but aren't sure how to seize it. You don't just want to be a user of AI; you want to be the person who can confidently lead projects, architect solutions, and guide your team. You want to become the go-to expert, but you need a structured path to get there. If this sounds familiar, it's because you've moved beyond the beginner stage. You're ready to tackle the next set of challenges, and that is precisely where our course begins. It is built on a single yet prfound premise: the most effective way to master AI is to build with it. We teach you how to create practical applications and then connect them to the underlying research. This ensures you not only know how to build, but why your solutions work, allowing you to adapt to any new tool or model in the future. More importantly, building with AI energizes you to keep learning, develops your taste, and enables you to seize opportunities. What You Will Be Able to DoThis course is about acquiring practical capabilities. By the end of this course, you will be able to: 1. Build and Deploy Functional AI Prototypes You will move from ad-hoc prompting to engineering reliable systems. You will learn to write code that integrates LLMs with other tools and data sources to solve real-world problems. Specifically:- Build a Q&amp;A bot over your own documents (e.g., Confluence, internal wikis) using AI native methods beyond RAG.- Create automated workflows, such as generating a weekly summary report from Jira tickets or processing inbound emails.- Connect AI to external tools and APIs to perform actions, moving beyond simple text generation.- Evaluate, debug and improve the output of LLMs in a systematic way. 2. Develop a Durable Framework for Learning New Concepts You will learn how to distinguish between temporary trends and fundamental principles. This will enable you to learn effectively, cut through the noise, and focus on what truly matters. Specifically:- Understand the core mechanics of LLMs, such as context windows and attention, and how they impact performance.- Confidently assess new AI models, papers, and tools to determine their actual value for your work.- Develop a first-principles approach to prompt engineering, moving beyond simple templates.Identify the inherent limitations of current AI (e.g., hallucination, reasoning failures) and design systems to mitigate them. 3. Become the Go-To AI Strategist in Your Role You will gain the confidence and clarity to lead. This course provides the structure to not only enhance your own work but also to guide your team and organization. Specifically:- Identify and scope high-value AI opportunities within your own business workflow.- Lead an AI project from an idea to a working prototype.- Clearly articulate the capabilities, costs, and limitations of a proposed GenAI solution to stakeholders.- Establish best practices for integrating AI into your team's existing processes. How You Will Learn: A System for MasteryOur course is a comprehensive system designed for deep, practical learning. It combines live instruction, hands-on application, and an extensive knowledge base to ensure you can build with confidence. 1. Live Sessions: The Core Framework Your learning is anchored by four hours of live sessions. These sessions are not about a collection of tricks; they are designed to give you a durable mental framework. We distill the most critical information on how AI works, teach you how to learn effectively in this rapidly changing field, and provide concrete principles to guide you from your first line of code to a functional application. The goal is to equip you to push through challenges and build with sound judgment. 2. Projects &amp; Office Hours: Real-World Application Knowledge is solidified through hands-on projects and direct support. You will work on building applications relevant to your daily work, pushing past self-imposed limitations to see what is truly possible. In our office hours, we provide personalized guidance to unblock you and demonstrate advanced problem-solving in real-time. We use cutting-edge tools like Cursor and Claude Code to build solutions live, showing you how to leverage the most powerful development workflows available today. 3. Reference Materials: A Library for Builders Your learning is supported by an extensive library of original materials. Developed with over 300 hours of effort and spanning more than 200 pages, this resource is your detailed guide for independent building. It is continuously updated to stay current. When you encounter a specific problem weeks or months after the course, this library is designed to give you the concrete answers and guidance you need to solve it. Join a Professional Network of 5,000+ AI BuildersYour enrollment includes lifetime access to our private network. This is a community for sharing technical solutions, discussing new research, and advancing your career alongside other serious practitioners. The community has a dedicated Q&amp;A section and we will answer your questions there even after the cohort. Ready to Build?We recommend the immersive experience of our cohort-based course. A self-paced version is also available if your schedule requires flexibility at https://www.superlinear.academy/c/ai/. All Maven students receive complimentary access to the self-paced version, and lifetime update of new course materials. Who This Course Is Not ForWe are committed to transformative outcomes, which means being transparent about who will get the most value from this demanding program. This course may not be the right fit if: 1. You are completely new to programming. This is not a 'learn to code' course. While you don’t need to be an expert developer, you should be comfortable with basic programming concepts and at least know how to install Python. Being completely new to programming also suggest that you job doesn't require automation, and it may not benefit much from AI. 2. You are looking for a passive, theoretical overview of AI. This is an intense, hands-on program that requires active building. Our methodology is centered on learning by doing. If your primary goal is to listen to lectures without writing code, you will not get the intended value. 3. You want to train a foundational model from scratch. This course teaches you how to build valuable applications with LLMs, not how to build the models themselves. When the web browser emerged, the great opportunity was to build websites, not competing browsers. We believe the same is true for AI today, and our focus is entirely on application. 4. You are looking for a list of "100 best prompts" or quick hacks. We focus on teaching the durable, first-principles understanding needed to build real applications. We do not teach temporary tricks even when they may be desired at times. 5. You cannot identify any problems you want to solve. The course teaches you how to build solutions. If you have no professional or personal context where you can apply these powerful new skills, the learning will remain abstract and you won't benefit from the core, practical value of the program.

The future is here, but unevenly distributed

Course syllabus

Walkthrough building prototypes together. Learn their implications through LLM research and our technical insights.

Live Sessions

Content similar to the live sessions without the need for interactions. Fit your busy schedule and learn on your own pace.

Offline/Async Courses


Build your own GenAI solution for your particular use case. Apply the tools and mindsets learned in class

Weekly projects

Get feedback and coaching on your class project. Learn what other students have built.

Office hours

Course schedule

You are using AI, but feel like you can be much better at it. You want to apply AI to your daily work and actually boost productivity.

You want to understand what AI is, how to learn it well, and where it falls short—so you don’t waste time on things that won’t matter.

You want to become the go-to-expert in AI and capture this opportunity of a lifetime.

Who is this course for

What you’ll get out of this course

Go beyond basic tools. You'll learn to code and deploy functional prototypes land automated workflows using APIs, latest tools, and advanced frameworks.

Build Real-World AI Solutions, Not Just Prompts

Stop chasing fleeting trends. We teach you the core principles of LLMs so you can confidently evaluate new models and future-proof your skills.

A Lasting Framework to Navigate AI's Future

Learn to identify high-value opportunities, lead AI projects from idea to prototype, and clearly articulate strategy to your stakeholders.

Become the Go-To AI Expert on Your Team

The AI tool landscape is noisy. We save you hundreds of hours by rigorously testing the latest tools, showing you which ones work best for specific tasks in our live office hours and community Q&amp;A during and after the class.

Leverage the Best AI Tools, Vetted for You

Receive our 200+ page, continuously updated knowledge base. This is your go-to reference for solving building challenges long after the course ends. Join a community of 5,000+ like minded AI trailblazers.

A Lifetime Library and Community of Builder Knowledge

Stop chasing tricks. Master the durable skills and vetted tools to build real-world AI solutions.

Yuzheng Sun, PhD

Statsig.com Data Scientist | Ex Tencent Director | Ex Meta/Amazon/BCG | Tech channel with 200k+ subscribers and 5k+ paid members

Yan Wang, PhD

Applied Scientist @ Samsara | Olympic Torchbearer | Ex Pinterest/Microsoft | Ex Tech blogger with 100k+ subscribers

Cohort 9

Cohort 10

🚨 Independent offering. This course is not affiliated with, endorsed by, or related to any of the instructor’s current or past employers. This course is a practical roadmap for PMs who want to go from "I understand what RAG is" to "I shipped an AI product that customers love." Over 4 weeks of hands-on, interactive sessions, you'll bridge the gap between AI knowledge and shipping success. This is best suited for PMs who have at least a theoretical grasp on the latest AI concepts (RAG, MCP, Evals) and who have played around with prototyping tools like Replit, Bolt but are looking to bring AI features from prototype to production inside their companies. At the end of this course, you’ll leave able to:&nbsp; - Build and deploy functional AI agents for your personal and team workflows. - Define Your H1/H2 AI Roadmap, and lead AI product strategy with confidence and credibility. - Evaluate AI product performance with robust metrics beyond simple accuracy, or toxicity.&nbsp;After years of building AI products, I’ve noticed something surprising: every PM building with generative AI obsesses over crafting better prompts and using the latest LLM, yet almost no one masters the hidden lever behind every exceptional AI product: evaluations. - Take prototypes to production with clear implementation plans. - Collaborate effectively with AI engineers, executives and stakeholders.&nbsp; - Learn how to identify and hire great AI PMs for your team. --- WHAT TO EXPECT 1. We’ll prototype an AI product (I.e. use code gen with Cursor / Replit + langgraph/crew) to build an agentic application/system, relevant to your work or life. If you don’t have an idea, I’ll provide one/walk through one. We’ll build it together. 2. We’ll breakdown how code gen agents work to understand the inner workings of an AI product/feature (main components).Evals are the hidden lever behind every exceptional AI product. We’ll explore this in practice by running evals on your prototype and iterating on the prompt. 3. We’ll talk about best practices for getting to production, what to think about when you have real user data, how to work together with an AI team.&nbsp; 4. We’ll turn your prototype + eval system + learnings into an “AI strategy doc/artifact” that you could use to convey this ai feature to others on your team/stakeholders --- This course will be very hands-on – you’ll build real tools, evaluation frameworks, and develop implementation plans!&nbsp; - 4 week live sprint: 8 interactive live sessions packed with vibe-coding labs, eval workshops, and peer feedback loopsAll sessions will be recorded and available to students asynchronously. - Built by and led by a current practitioner – I’m sharing the playbook I use as Head of Product at Arize AI (supports companies like Uber, Instacart, Discord, Reddit) and Spotify to help hundreds of engineers launch AI-powered products. - I'll also host a dedicated Slack community where you can communicate with me and other participants.&nbsp; - All sessions will be recorded and available to students asynchronously. This is not a theoretical course about AI concepts—it's a practical roadmap for product managers who want to go from "I understand what RAG is" to "I shipped an AI product that customers love." Over 4 weeks of hands-on, interactive sessions, you'll bridge the gap between AI knowledge and shipping success.

Design, prototype, and ship AI-powered products that delight customers

We'll help you get Cursor set up, but some familiarity with coding/debugging will go a long way here (i.e. being able to read python code)

Familiarity with code recommended (but not required)

We will have sessions twice a week for 4 weeks until the last week, for a total of 7 sessions.

Mondays and Wednesdays

There will be assignments after each session to reinforce what you learned in the lesson.

Course schedule


Product Managers familiar with AI terms and concepts (LLMs, RAG, etc.) that wants to move beyond prompting to building actual AI products

PMs transitioning to AI-focused roles who see AI product leadership as their career differentiator in the next 1-2 years

Product Leaders and Executives responsible for AI strategy who need practical frameworks for evaluating and implementing AI initiatives

What makes this course unique


This course will be focused on outcomes. I've intentionally limited enrollment to ensure personalized attention during live building sessions, direct feedback on your specific AI product challenges, and meaningful connections with fellow AI-focused PMs.

Hands-On Learning in a Limited-Size Cohort

Create real AI agents and products you can use immediately—no theoretical exercises. You'll master the techniques needed to build agents that solve real problems and continuously improve over. We'll be using low code tools like Bolt, Replit and write code with Cursor

Learn by building - Live during the lesson

Each lesson includes templates and frameworks you can use the next day at your job. Learn the end-to-end process for taking AI products from concept to shipping success, including agent building, evaluation frameworks, implementation planning, and product strategy.

Apply immediately to your work

Move from prototype to production with detailed guidance on what changes when scaling AI. You'll learn strategies for maintaining quality at scale with evals while managing cost, latency, and performance constraints.

Focus on the full lifecycle

&nbsp;Learn the critical skill of designing and implementing evals that CPOs at OpenAI and Anthropic identify as essential. While everyone else is obsessing over prompts, I'll show you why evaluation frameworks are the true differentiator in AI product development.

Master evals as a PM

Analyze the best AI products on the market to identify patterns that create exceptional experiences. You'll develop frameworks for identifying high-value AI opportunities and aligning your organization around AI.

Develop AI product intuition

This isn't theory from someone who "used to" build AI products. I'm actively working with companies like Uber and Instacart to implement and improve their AI systems. Everything I teach comes from the frontlines of AI product building.

Built by someone shipping real AI products right now

Connect with like-minded professionals transitioning into AI product roles, creating a valuable network for future collaboration.

Community of peers﻿


Build, evaluate, and ship successful AI products with real-world frameworks and hands-on experience to become an advanced AI product leader

Aman Khan

Cohort 1

Cohort 2

By the end of this course, students will go from idea to functional AI app—even if they’ve never written a line of code before. They’ll experience the momentum that comes from building and deploying something real, using modern tools like Replit and OpenAI. More than a one-off project, this workshop gives students: A clear mental model for rapid prototypingConfidence to experiment with AI toolsA repeatable process they can apply to future use casesThe ability to speak about AI and automation with firsthand credibility They won’t just watch someone build—they’ll do it themselves.

Unlock a New Skillset: Vibe Code Your First AI App

This is required for your hands-on app building experience.

A Replit account ($25 per month tier recommended)

This is required to build AI capabilities in your working prototype.

An OpenAI account with API access.

Product managers who want to test ideas faster and prototype without relying on engineering

Aspiring PMs or founders looking to differentiate themselves with real AI capabilities

Builders, tinkerers, or strategists who are curious about what’s possible with modern no-code/low-code tools

You’ll learn by doing. From a blank screen to a working prototype, you’ll build your first AI-powered app and see how approachable modern prototyping can be—even if you’ve never written code.

Build and launch your first AI-powered app using Replit—no coding background needed.

Learn how to make your app “think” or “act” using simple, powerful APIs. You’ll use tools like OpenAI to power real features—no backend setup, just clear, hands-on instruction.

Learn how to connect APIs like OpenAI to add intelligence or automation

We’ll break down how builders think: fast feedback loops, functional demos, and iterative testing. This mindset makes you more effective and adaptable in modern product roles.

Adopt the mindset and workflow of rapid prototyping to future-proof your product career

You won’t just talk about AI—you’ll ship something. This experience gives you momentum to explore more ideas, impress stakeholders, and expand your impact as a PM.

Walk away with the confidence of having built your first AI app using vibe coding

Go From Idea to Working AI App—In Just 2 Hours

Prashanth Padmanabhan

Cohort 3

As AI agents become integral to mainstream software, organizations need professionals who can do more than build demos: they need engineers who can architect, deploy, and maintain robust agentic solutions that deliver measurable business value. Meeting this demand requires a practical mindset - one that balances innovation with real-world constraints like security, compliance, and operational cost. Familiarity with frameworks like MCP (Model Context Protocol) is increasingly essential for building scalable agents in modern enterprise environments. ✨ Biggest differentiators of this course 🏭 Enterprise-Ready, Not Just Toy ProjectsMost courses stop at building toy demos or teaching frameworks in isolation. Here, you’ll learn to architect, evaluate, and deploy AI agents that solve real business challenges-factoring in security, scalability and operational costs. You’ll master not just the “how”, but the “when” and “why” behind agentic AI, with a special focus on leveraging MCP (Model Context Protocol) for robust, scalable solutions. 🦾 Hands-On Product DevelopmentFrom day one, you’ll build a real-world agentic product, guided by step-by-step tutorials. You’ll gain practical experience that goes far beyond theory. 🤝 Personalized Support: Ask Me Anything (AMA)We know every learner’s journey is unique. That’s why we offer weekly Ask Me Anything Sessions. While these are optional, we encourage learners to join these sessions to either get help or assist colleagues. 🤜 Individual Coaching SessionsStill need help? Feel free to schedule 30 minute individual sessions with me every week. You will get direct, personalised help, making sure you never lose momentum. 👩‍🏫 Industry Guest Lectures &amp; Expert WorkshopsLearn directly from the people shaping the future of AI. This cohort features guest lectures and workshops with industry experts, bringing you what's newest in AI Agent features for developing, evaluating and deploying AI Agents. 🚀 Capstone Project: From Idea to ProductionYou’ll connect the latest research and best practices with hands-on implementation. For your capstone, you’ll design, evaluate, and deploy a production-grade AI agent. You will showcase your ability to bridge the gap between theory and enterprise impact. If you read up until this point and are still wondering: "Is this course for me?" Well, if you have ever struggled with any of the following challenges: 🔹 Prototype Graveyard: You have built simple AI demos that never made it to production🔹 Evaluation Paralysis: You struggle to measure if your agents are actually performing well🔹 Security Vulnerabilities: You need to mitigate the risk that your agents are exposed to prompt injection attacks🔹 Availability &amp; Resiliency: You want to prevent agentic AI products from breaking after being deployed Then yes, this course is for you. 🚀 By the end of 4 weeks, you'll have: ✅ A production-deployed AI agent with a public URL you can share with employers✅ Working knowledge of MCP architecture and hands-on experience that sets you apart from most AI professionals✅ Real-world AI security and evaluation skills that are essential for enterprises to leverage AI at scale✅ Portfolio-ready project demonstrating end-to-end agent development capability 👩🏼‍💻 Course Requirements If you don't have significant experience with Gen AI, AI Agents or MCP, that's fine. The only hard requirements for this course are basic Python knowledge, familiarity with AI &amp; Gen AI and willingness to learn. Ready to go beyond the PoC? Join us and build AI agents that matter-powered by real-world tools, enterprise best practices, and the support you need to succeed.

Design and build AI Agents for the enterprise

This course is highly hands-on, so basic Python knowledge is required.

Basic Python knowledge

You use AI and Gen AI on a daily basis, and/or you are familiar with the main use cases surrounding it

Familiarity with AI & Gen AI

You'll code, move fast and break stuff. Need to polish your Python skills? We'll bring you up to speed 🦾

Willingness to roll up your sleeves and code

Recorded videos, live lessons, office hours and hands-on projects

Fridays

Software Engineers who want to build and ship Agentic AI Apps into production

Product Managers, Product Owners and Managers who want to lead AI initiatives

Consultants, Solution Architects and Field Engineers who want to learn about AI Agents and MCP to better serve their customers

Theory is important: you will learn foundational concepts around AI Agents and MCP, but you will also start coding and shipping Agentic AI products from the beginning.

Start Building AI Agents with MCP from Day One

You have probably come across many courses out there that basically teach you how to build a PoC. Not the case here! You will start with simple, local prototypes, evolving weekly towards a production grade Agentic AI App

Avoid PoC Hell

Evaluating AI Agents can be overwhelming. We will show you what to evaluate, how to do it and what to do with these metrics.

Master and Implement AI Agent Evaluation

Should I go for RAG? Should I implement AI Agents instead? You will deep dive into the main architecture components of MCP. what problem it solves, when it should be used, and when it shouldn't.

Understand where AI Agents and MCP shine, and use this knowledge to design and build unique AI products

Learn about the best practices around tracking LLM calls, tools and agent interactions. Master prompt injection attacks and how to mitigate them. Incorporate all these concepts in your app.

AgentOps: Apply AI security and observability best practices

Set up cloud resources, add authentication, deploy tracing and guardrails, release your app’s code and share your live project with the world

Deploy your Agentic AI App Into Production and showcase your skills

You will have access to weekly office hours to ask questions about issues - or help fellow learners. Still have questions? Feel free to book a weekly 30 min 1x1 with me.

Personalized Guidance

Go from local prototypes to production-ready Agentic AI applications following security, evaluation, and deployment best practices

Lightning Lessons

Go from Idea to Deployed Multi-Agent App in 30 minutes