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Build robust LLM-powered apps, chatbots, and agents. Learn by writing real code, one line at a time.

CEO @ Actualize

Jay Wengrow

Software Engineer and Educator, Author of A Common-Sense Guide to AI Engineering

Cohort 1

Cohort 2

Do you have a grasp of basic LLM principles but struggle to put it all into code? Tired of scattered documentation, outdated tutorials, and frameworks that impress in demos but collapse in production?You’re not alone. Building with large language models doesn’t have to be confusing - it can be clear, structured, and deeply rewarding.In this course, you’ll build real LLM-powered apps, one line of code at a time. You'll see how an app is built from scratch in real time, and follow along. Along the way, you'll discover not only how to implement these systems, but the why behind each line of code.From chatbots to agents and RAG to evals, you’ll learn the core concepts of building atop LLMs. More importantly, you’ll get how LLMs “think” - allowing you to guide them to do what you want despite their nondeterministic nature. Additionally, you’ll be able to balance quality, latency, and cost, making big-picture decisions about AI-powered app architecture.AI engineering isn’t just another branch of software development - it’s a different mindset altogether.

Gain hands-on AI Engineering proficiency by writing real code

Gain real-world intuition for working with LLMs

Reliably guide LLMs instead of getting unpredictable results.

Build retrieval-augmented assistants that can access proprietary knowledge

Use evals to systematically optimize your LLM app’s performance over time

Assemble agents that act upon the real world

This course is designed for current software engineers who will use Python  to build LLM-powered apps. We won't teach basic coding here.

Software Engineering

We'll be using Python, but we'll keep it simple in case you're more familiar with other coding languages.

Note about Python

If you want an inside look at what's involved with building AI apps but don't plan on coding yourself, you'll still follow what's going on.

Exception: Product Managers

Software engineers who want to build LLM-powered chatbots and agents, or break into AI engineering more generally

Data Scientists/Engineers who want to build their own LLM-powered apps

Product Managers who want to understand AI engineering from the coding perspective

Become an AI-native builder who ships confidently with Claude Code and Replit

AI Product Leader & AI Coding Educator

MongoDB

Timescale

YouTube

Princeton University

Avthar Sewrathan

7 Mar - 15 Mar 2026 (PVT)

4-11 April 2026

Most AI coding courses help you tinker. This one helps you ship.You'll build 3 real projects of your choice: (1) A Claude Code project, using custom commands, Skills, Plugins, MCPs, and multi-agent workflows.(2) A web or mobile app on Replit, with built-in database, auth, custom domain, and deployment.(3) A Demo Day showcase.In the process, you'll master Claude Code and Replit from beginner through advanced workflows, and learn fundamentals that apply to any AI coding tool in the future.I created this course to help you go beyond tutorials and actually ship. It's what I can't offer on YouTube: personalized support, faster progression, and accountability to ship alongside other builders.The workflows and tips you'll learn are based on hard-won experience using AI to ship production-ready software, from me and some of the best AI-native engineers in the world.And you won't build alone, with 10+ hours of office hours and Q+A across the course, a Slack community for async help, and debugging support when you hit walls.Ready to ship with AI? Let's go.

Build real projects. Master Claude Code and Replit. All in just 8 days.

Build production apps with Claude Code

Ship live apps with Replit

Master AI-native development fundamentals

Confidently navigate the rapidly evolving AI Coding landscape

While sample project ideas and prompts will be provided, this course is most helpful if you have ideas for things you want to build.

Ideas for projects to build

We'll use tools like the terminal and GitHub in the course. If you're not familiar with them, no problem, just come ready to learn fast.

Willingness to learn fast

Software Engineers who want to go from tab-complete to AI-led in their planning, building, testing and review workflows.

Founders and Business Owners who want to turn their ideas into reality, and avoid outsourcing product development.

Product Managers who want to expand their impact by prototyping, testing, and shipping faster without cross-functional bottlenecks.

You’ll prototype the experiences you already design, and expand into new dimensions: real functionality and data, AI models

Cohort March

a product design leader and AI educator

Payoneer

Anna Arteeva

Anna Arteeva is a product design leader and a product builder

Design Director @ Superhuman/Grammarly

Grammarly

Superhuman

frog

Ustwo

Pitch

Kevin Cannon

Design leader specialising in AI-powered tools and emerging technologies. 

Principal Product Designer at Github

GitHub

Jan Six

Designer who codes, co-founder of Tokens Studio

Cohort April

Designers who code used to be called “unicorns”. Now it is quietly becoming the baseline. The good news is that AI and modern tooling make this much more accessible than it used to be.Built specifically for designers, this intensive course blends practical frameworks, hands on exercises and personal feedback. Technical concepts are introduced from a designer’s point of view, with designers’ goals in mind.We focus on the parts of product work that actually ship: clean layouts, design systems, reusable components, real navigation and non trivial flows. Vibe-coding and AI tools help you work directly in code with function and data instead of stopping at static mockups.After completing this course, you will be able to turn your designs into working web apps that match your visual language with precision.<h1>What you’ll build</h1><ul><li>A functional web app, styled to match a brand and using design-system components.</li><li>Features, components and interactions using third-party libraries.</li><li>User flows with non-trivial logic and dynamic data.</li><li>At least two AI-powered features (LLM, voice, or diffusion) wired via API keys, prompts, and guardrails.</li><li>Collaborate and handover via GitHub.</li></ul>❤️ Lovable Pro is included!<h1></h1>

Vibe-code functional apps with design systems, real data and AI-powered logic.

AI prototyping mindset and tools

Prototype with your brand and design system

Frontend foundations for designers

Building AI functionality

Understand product architecture, work with dynamic data and databases

User flows, design systems, variables and design tokens

Understanding of product design fundamentals

No previous coding experience required

Clear problem, user, and outcome definitions

Basic product thinking

Mid-Senior Product, UX and Interaction Designers, looking to future-proof their workflow, increase the scope of deliverables and impact

Design leaders, looking to make their teams more effective and impactful

Product Managers, who want to become product builders, ideate, validate and deliver their ideas faster

Master practical AI integration in engineering, from rapid prototyping to multi-agent workflows and voice-first development.

Founder @EVY. Serial CTO for 15+ years

Narrative BI

Rubyroid Labs

Valentine Zavadskiy

Founder of EVY. Serial CTO with 15+ years of experience and 2 successful exits

EdTech Leader, Former Head of L&D 

Wargaming

Cybergizer

Altoros

Olga Lavrentieva

Learning Experience Architect. 15+ years in Talent Development. Certified Coach

Cohort 3

THE PROBLEM AI is transforming software development, yet many engineers either don’t use it or limit themselves to basic prompting. Common blockers include weak early results, time constraints, unclear integration strategies, tool overload, and pressure to adopt AI without support, leading to fragmented experiments instead of stable production workflows.OUR SOLUTION This four-week course is for those who want to systematize AI integration into engineering workflows. Participants will master practical methods—from rapid prototyping to multi-agent workflows—using a structured, outcomes-focused approach. By course end, attendees will have a working AI-powered prototype and a clear deployment roadmap for AI adoption (LLMs, agents, RAG, MCP) integrated into the development lifecycle. The focus is Voice-First Development: coding through natural language with AI agents, providing richer context, faster feedback, and quicker iteration.We deliver customized in-company editions with a 98% client satisfaction rate, aligned to your tech stack and business goals. Write to us at hello@goman.ai to discuss your request.📍Save $200 with the promo code EARLYBIRD at the checkout. Valid until March 1.

In just 4 weeks, you will transform your approach to AI product development.
 

Learn how AI models and agents work under the hood — in simple terms.

Shift from external AI tools to embedding intelligence in your product.

Build a prototype without touching code — simply by “talking” to AI assistants.

Explore key AI tools and integrate them into your workflow.

Act as an AI product architect and orchestrator.

Gain experience that transforms how you code and boosts your speed  up to 5x.

This course is built for software engineers who already have hands-on coding experience.

For experienced developers

We’ll move fast: expect to write code, experiment, and develop a working prototype during the intensive.

Comfortable with building prototypes

Your preferred programming language doesn’t matter — the focus is on concepts, workflows, and practical application.

Language-agnostic approach

Software developers who recognize the power of AI and eager to put it into practice, but need a structured, hands-on way to get started.

Team leads and software architects looking for the ways to boost team’s performance and unlock smarter ways of working.

Business leaders &amp; founders seeking to gain the technical understanding needed to make informed decisions.

Discover opportunities with AI → validate with interactive prototypes → design AI features → automate workflows → ship functional software

Product Design Leader

Product Design Leader and AI educator

Product Leader

Julia Bastian

Product Lead - Innovation & GenAI, ex VP of Product at Alasco

Senior Solution Architect, MBA

Vlad Daskalov

MBA, Agentic AI advocate, Senior Solution Architect

In an AI-accelerated product world PMs are expected to explore, ideate and validate ideas quickly, collaborate effectively with designer and developers whose roles are changing too.You'll learn from three experts with different backgrounds: Product, Design, and Engineering. This ensures you get deep insights into design and engineering topics while learning to navigate the change and bring your cross-functional partners along.<h3>What is covered:</h3><ul><li>AI for modern discovery and synthesis</li><li>Building apps and prototypes with prompt-to-code tools</li><li>Frontend basics</li><li>Essentials of app architecture: Backend, Frontend, Data, APIs</li><li>Working with existing assets: brand styles, design systems, open source code</li><li>Automation and integration with product workflow (Make, n8n, webhooks).</li><li>AI-powered functionality with integrated LLM, image and voice models</li><li>System prompts engineering basics for AI features</li><li>Analytics and idea validation so you can back up your prototypes with evidence.</li></ul>Then will talk about real hard topics<ul><li>cross-functional team collaboration</li><li>code hand over</li><li>work inside an existing codebase.</li></ul>❤️ Lovable Pro is included! Principles learnt are transferable to other tools

Learn the new PM stack: vibe-coding, automation, AI features, and code handover

AI-powered discovery and opportunity framing

Vibe-coding fundamentals and AI ecosystem

Frontend foundations and system architecture

Design systems and brand-consistent UI

Architecture, data, and automation

AI features, validation, and handover

You can clearly define problems, users, and desired outcomes

Product fundamentals

Familiarity with digital products and curiosity about how they work will help you get more out of the course.

You should be comfortable with how digital products are planned, built, and shipped, and have working knowledge of the modern tech landscape

Understanding the tech company ecosystem

Product Managers, Owners, Researchers, Growth who want to become full-stack builders, validate ideas with confidence and iterate faster.

Non-developers across the organisation – sales, marketing, ops, GTM, finance, or HR – who want to build their own tools and experiments

Leaders in tech companies who want to make their teams more effective through AI coding, shape AI strategy, and sharpen workflows.

Build AI-powered marketing tools and automations yourself, from concept to live product without development bottlenecks and long approvals.

Product Design Leader, Builder and AI Educator

Marketing Lead, AI-Builder, Entrepreneur

Paul Leibssle

Marketing Leader and Builder, Ex Rosetta Stone

Today, coding isn’t just for engineers – marketers are using AI to build lead-gen tools, landing pages, and campaign dashboards without developers or agencies.Imagine launching a microsite or onboarding flow in hours, not weeks. Vibe-Coding for Marketing gives you the skills to do exactly that. With the Lovable AI app builder, you’ll go from idea to working product fast. No coding needed, no bottlenecks, no delays.You’ll learn from Anna, a design and vibe-coding expert who helps teams build beautiful branded AI tools and Paul, a full-stack marketer with deep growth experience. Together, they’ll guide you through live, hands-on sessions and real-world projects. This course demystifies AI-powered app building with plain language and practical examples, so you can apply everything immediately. By the end, you’ll be able to build and deploy your own marketing tools – from prototypes to internal apps – and work independently of dev or legal. It’s all about speed, empowerment, and creative freedom for modern marketers. ❤️ Lovable Pro is included. (You'll get access to the full Lovable app builder platform to use during the course.)

Master AI tool building for fast, custom and independent marketing execution

Build custom lead-gen tools without developers

Create branded landing pages with AI

Connect to your existing marketing stack

Launch experiments fast without bottlenecks

A basic understanding of digital marketing fundamentals (e.g. lead gen, funnels, segmentation)

Marketing skills

You’re comfortable clicking around in new tools, testing features, and learning by doing, no fear of breaking things.

Curiosity to experiment 

Growth marketers who want to build and launch tools fast without waiting on dev.

Performance marketers looking to automate and optimize campaigns with custom AI tools.

Brand or content leads aiming to ship polished campaigns without tech bottlenecks.

Transform from consumer of analytics to independent operator - asking sharp questions, validating answers, shipping decisions.

Principal Data Scientist @ Ontra 

Stripe

Nextdoor

PwC India

Ontra

AppFolio

Shane Butler

Principal Data Scientist @ Ontra | Ex-Stripe, Nextdoor, PwC, Appfolio

Data Science Leader |Ex-Microsoft

Microsoft

eBay

Sravya Madipalli

Data Science Leader@Superhuman (Prev. Grammarly)| Ex-Microsoft, eBay, Nextdoor

Head of Data @ Ontra AI | Ex-LinkedIn

LinkedIn

Pinterest

Hai Guan

Head of Data @ Ontra | Ex-Nextdoor, LinkedIn, Pinterest, Meta

The future belongs to full-stack builders, not narrow specialists. As AI reduces the value of deep domain silos, the people who thrive will be the ones who can work across disciplines and ship.You can already prototype designs, write code, and generate content with AI. But analytical independence - the ability to validate your own ideas and make data-informed decisions - remains the missing skill in most builders' toolkits.AI can conduct the analysis, but it can't tell you what to ask or whether the answer makes sense. That requires analytical judgment.This course teaches you to think like a senior Product Data Scientist. You'll learn the frameworks used at FAANG companies to frame problems, choose the right metrics, diagnose root causes, execute the analysis, and turn insights into decisions.-&gt; <a target="_blank" rel="noopener noreferrer nofollow" href="https://join.slack.com/t/dataneighbor/shared_invite/zt-3ox4drc3r-3g0ptSthytkgv0sD6ovvqg">Join AI Builders Slack Community!!</a> &lt;-What makes this different: No SQL. No stats lectures. Five weeks of hands-on real scenarios. You'll build a complete analytical case study - metric specs, deep dives, experiment plans, stakeholder readouts.The result: You become analytically self-sufficient. The last dependency removed from your toolkit. Make data-informed decisions in hours, not weeks.

Ask Better Questions, Make Faster Decisions - with AI as Your Analyst

Frame Problems Like a Senior Data Scientist

Design Metrics That Actually Drive Decisions

Diagnose Root Causes Without Guessing

Design Experiments That Ship

Turn Analysis Into Action With AI as Your Copilot

Synthesize Insights and Prioritize for Impact

Product Managers, engineers, and operators who need analytical independence and frameworks to measure success and drive decisions.

Designers and researchers stepping into strategy roles who need to quantify impact, run experiments, and influence with data-driven insights

Data professionals who want to frame better questions, delegate technical execution to AI, and drive impact with agentic analytics tools.

By the end of Build Your Show, you will have the clarity, tools, and systems to confidently launch and grow a professional podcast.

Podcasting Coach and Creative Strategist

Dan Gilman

Dan Gilman, a media professional and podcast creator with decades of experience

Launch and grow a professional podcast using AI tools, strong storytelling, and smart workflow.

AI Fundamentals

Apply AI in your role

Career Development

AI Fundamentals

Career development

Craft

AI Fundamentals

Career development

Craft

AI Fundamentals

Career development

Craft

AI Fundamentals

Craft

AI Fundamentals

Leadership fundamentals

AI Fundamentals

Leadership fundamentals

By Role

Coding with AI

Cohort-based courses

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