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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

31 Jan - 8 Feb 2026

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.

Become an Agentic AI Engineer by building real-world, production-ready AI agents that autonomously reason and execute complex tasks.

Cohort 1

Professor & AI Expert (510K+ Students)

General Motors

Samsung

HSBC

Barclays

Stellantis

Dr. Ryan Ahmed

Professor, AI expert, & YouTuber who has taught 500,000+ learners worldwide.

Cohort 2

Agentic AI Engineering is 2026's most in-demand skill. Software is shifting from static systems to AI-native architectures, where autonomous agents reason, plan, and execute complex work.The problem: Most developers are stuck building fragile API wrappers and they lack the architectural depth to manage state, memory, and multi-agent coordination in real production systems.The Solution: This bootcamp is your bridge to elite Agentic AI engineering. We move past the basics to architect robust, fault-tolerant agent fleets where specialized agents collaborate autonomously in production.What makes this course unique?<ul><li>Production-Grade Architecture: Engineer real systems using LangGraph, CrewAI, &amp; AutoGen.</li><li>Automate Agent Workflow Creation: Use Claude Code &amp; Codex to generate, refactor, and evolve agent workflows.</li><li>Standardization (MCP): Build secure, interoperable tools using the Model Context Protocol.</li><li>Enterprise Reliability: Design for guardrails, persistent memory, observability, &amp; human-in-the-loop safety. </li></ul><h3>Capstone Project (Real-World Application)</h3>Design &amp; deploy a production-grade, portfolio-ready agentic AI system for real-world use, demonstrating senior-level Agentic AI engineering skills.

Master Agentic AI Engineering & Architect Production-Grade Autonomous Systems

Architect, build & deploy production-grade agentic AI systems end-to-end

Orchestrate Autonomous Multi-Agent Teams

Master Tool Use & The Model Context Protocol (MCP)

Automate Workflows with AI Coding Assistants

Engineer Context-Aware Agents with Retrieval Augmented Generation (RAG)

Deploy, Monitor & Benchmark for Enterprise

Software Engineers &amp; Developers wanting to master state-of-the-art Agentic AI frameworks and build autonomous, production-grade AI agents.

Technical Founders &amp; CTOs who want to architect scalable, fault-tolerant autonomous systems that serve as your product's core engine.

Modern ML &amp; Data Science Practitioners who want to evolve from static models to dynamic Agentic AI workflows that reason, plan, &amp; execute.

Build real AI systems from scratch, transforming from an AI learner into a confident full-stack AI engineer with a proven portfolio.

AI Instructor, School of AI

Vivian Aranha

AI educator and builder helping you ship real AI systems, not just learn theory

First cohort building 21 full-stack AI systems from scratch using LLMs, Ollama, and Streamlit.

Alpha Developers

Most people learning AI today are stuck in a frustrating gap. They watch tutorials, experiment with prompts, and understand concepts—but when it comes to building something real, they don’t know where to start. Employers and clients don’t hire for curiosity; they hire for proof. This course exists to close that gap.From Zero to Full-Stack AI Engineer: 21 Hands-On Projects matters because it focuses on what actually moves careers forward: the ability to design, build, and ship working AI systems end to end. Instead of isolated demos, you’ll build complete applications—model serving, backend logic, and user interfaces—exactly the way real AI engineers work.This course solves the critical professional challenge of credibility. By the end, you’re not explaining what AI can do—you’re showing what you have built. You gain confidence, practical intuition, and a portfolio that speaks for you in interviews, client conversations, and leadership discussions.

Stop Learning AI. Start Building Full-Stack AI Systems.

Build End-to-End AI Applications

Work With Local LLMs Like an Engineer

Think in AI Systems, Not Demos

Build a Job-Ready AI Portfolio

Gain Confidence to Build Without Tutorials

Transition From Learner to Full-Stack AI Engineer

You should be comfortable with simple Python scripts, functions, and loops. We focus on building, not teaching Python from scratch.

Basic programming experience (Python preferred)

You’ll run commands to install tools, start models, and launch apps. No advanced system skills required—just basic comfort using a terminal.

Familiarity with command line and installing tools

This is a hands-on course. Progress comes from trying, breaking, fixing, and iterating—not passive watching.

Curiosity to build and experiment with AI systems

<h3>Aspiring AI Engineers &amp; Developers</h3>People learning AI who want real project experience building end-to-end AI applications.

<h3>Software Engineers Transitioning Into AI</h3>Engineers adding AI to their stack by building full-stack AI systems from scratch.

<h3>Builders, Founders &amp; Technical Creators</h3>Builders who want to ship AI-powered products and build a strong, credible portfolio.

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

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