School of AI

Everything AI

The School of AI

Cohort 1

Cohort 6

Cohort 7

Cohort 4

Hotel

Cohort 5

Foxtrot

Golf

India

Cohort 2

Charlie

The Dream Chasers

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

Alpha Developers

Cohort 13

Cohort 14

Cohort 9

Cohort 3

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Cohort 11

Echo

Delta

Cohort 8

Beta

Juliett

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Pathfinders

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Cohort 16

A comprehensive, hands-on AI Engineer bootcamp covering Python, data science, math, machine learning, deep learning, transformers, and MLOps. Learn by building real projects—from regression models and neural networks to CNNs, RNNs, and transformers—then deploy models using modern MLOps practices. Designed to take you from fundamentals to production-ready AI systems.

AI Engineer Complete Bootcamp Curriculum

This blueprint shows what it actually takes to go from “learning AI” to building full-stack AI systems in 21 days. You’ll see the exact progression of projects, skills, and system patterns used to develop real AI engineering confidence—without relying on cloud APIs or prebuilt templates.

From Zero to Full-Stack AI Engineer: The 21-Day Build Blueprint

Most people “learn AI” for months and still can’t build anything usable. This guide breaks down the most common mistakes—tutorial hopping, prompt obsession, demo paralysis—and shows what full-stack AI engineers do differently. If you feel stuck despite learning AI, this will explain why and how to fix it.

21 Mistakes AI Learners Make Before Building Their First Real Project

Most AI learners don’t fail because of lack of tools—they fail because they don’t know how real AI systems are built. This starter kit walks you through the exact structure of a full-stack AI application using local LLMs. You’ll see how models, logic, and UI come together so you stop guessing and start building with confidence.

The Full-Stack AI Engineer Starter Kit: Build Your First AI App Locally

Most organizations have AI principles—but no enforceable governance.This fillable AI Governance Charter helps you formalize who owns AI decisions, how approvals work, how risk is handled, and how AI is governed at scale. Designed for senior leaders responsible for AI outcomes, not policy theater. What You Get <ul><li>A fillable AI Governance Charter</li><li>Clear governance objectives tied to business risk</li><li>Defined approval checkpoints and escalation paths</li><li>A practical alternative to vague AI principles decks</li><li>A document you can actually socialize with leadership</li></ul>

AI Governance Charter for Enterprise AI - A fillable executive template to formalize AI ownership and accountability

Most AI initiatives stall not because of weak technology, but because no one clearly owns the decisions. This free resource helps you map who decides what across AI strategy, use-case approval, risk acceptance, deployment, and incidents. What You Get<ul><li>A 1-page AI Decision Rights Map (fillable template)</li><li>Clear separation of decision owners vs contributors</li><li>A way to spot governance gaps before projects scale</li><li>A practical starting point for executive AI governance</li></ul>

AI Decision Rights Map for Enterprise AI:   
A 1-page executive template to clarify who owns AI decisions

Master production AI agents and transform from prompt user to AI architect, ready to lead automation and AI-native systems.

Founder & AI Instructor at School of AI

Vivian Aranha

AI architect with 2.2M+ learners, building enterprise-grade agentic systems

Agentic AI Mastery & Certification: Claude Code, Clawdbot & Beyond

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Design, build, deploy, and operate production-ready AI systems using LLMs, RAG, agents, APIs, and AI Ops practices.

7 Day AI Engineer Bootcamp and Certification

AI Engineer

Learn to build and deploy real AI apps using LLMs, RAG, and agents—transforming from AI user to production-ready AI engineer.

Complete AI Engineer 3 Day Certification Bootcamp

Junior Cloud Engineer

Design and build autonomous AI agents with memory, planning, tools, multi-agent collaboration, and production guardrails.

5-Day Agentic AI Bootcamp and Certification

Student

IT ENGINEER

Senior Data Engineer

Learn to design, build & deploy real AI systems—become a portfolio-ready AI builder, not just a prompt user.

14 Days to Building AI Systems & Agents

Head of Social Impact Assessment

Build Your Digital Twin

AI Instructor and Builder, School of AI

Build a working AI-based digital twin that can represent you and respond intelligently in real time.

Create a Functional Digital Twin

Learn the exact tools, models, and workflow used to turn data, prompts, and logic into a digital twin.

Understand the Core Digital Twin Stack

See how to run, test, and reuse your digital twin for demos, content, or automation right after the session.

Deploy & Use Your Twin Immediately

Build a Full-Stack AI Engineer Portfolio in 21 Days

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AI Instructor, School of AI

Most people watch AI videos. This shows what it actually takes to build and ship real AI apps—daily.

Stop Watching AI Demos. Start Building.

No projects, no proof. This program forces you to build 21 real systems—not tutorials.

Your AI Skills Mean Nothing Without Projects

You’ll move beyond prompts and actually build UIs, logic, and AI systems from scratch.

Become a Full-Stack AI Engineer, Not a Prompt User

What It Takes to Become an AI Engineer — Live Breakdown

Founder and AI Instructor, School of AI

Learn the four-layer AI engineering model and how each layer fits into real-world systems.

Understand the AI Engineer Skill Stack

Walk through data, models, APIs, and deployment to understand how AI works in production.

See a Real AI System Built End-to-End

Get a clear roadmap of projects, tools, and habits that turn AI knowledge into real skills.

School of AI Your One Stop School for all AI Learning