14 Days to Building AI Systems & Agents

Vivian Aranha

Founder & AI Instructor at School of AI

Build Real AI Systems & Agents in 14 Days — Not Just Prompts

Most AI courses teach you prompts. This course teaches you how to build real AI systems.

Right now, professionals face a critical challenge: AI is everywhere — but very few people know how to turn it into working, deployable applications. Watching demos isn’t enough. Copy-pasting prompts isn’t enough. Employers and clients want people who can design, build, evaluate, and deploy AI-powered solutions that actually solve problems.

If you’ve felt overwhelmed by the noise — new tools every week, agent frameworks, RAG, automation — you’re not alone. The real gap isn’t intelligence. It’s structure.

This course matters because it gives you a complete, end-to-end mental model of modern AI systems. In 14 days, you move from understanding how AI works to deploying your own AI-powered application with memory, tools, automation, and evaluation.

By the end, you won’t just “know AI.”
You’ll have built and shipped a real product — and that changes your confidence, credibility, and career trajectory.

What you’ll learn

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

  • Map real problems into AI system architectures

  • Build backend logic + connect frontend UI

  • Deploy a live AI-powered application

  • Call LLM APIs using Python

  • Tune tokens, temperature, and system prompts

  • Manage cost, latency, and performance

  • Use few-shot & structured prompting

  • Enforce JSON schema outputs

  • Validate and parse responses in code

  • Generate embeddings & semantic search

  • Implement Retrieval-Augmented Generation

  • Add short-term and long-term memory

  • Design tool-enabled agents

  • Implement execution loops

  • Automate real multi-step workflows

  • Deploy apps to the cloud

  • Write professional READMEs

  • Record demos and polish GitHub repos

Learn directly from Vivian

Vivian Aranha

Vivian Aranha

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

Who this course is for

  • Aspiring AI builders who want real projects, not just prompt tricks, and need a structured path to ship their first AI app.

  • Developers or engineers curious about AI who want to add LLMs, agents, and automation to their existing skill set.

  • Product managers & tech professionals who want to understand AI systems deeply enough to build, deploy, and lead AI initiatives.

What's included

Vivian Aranha

Live sessions

Learn directly from Vivian Aranha in a real-time, interactive format.

Build a Real AI App in 14 Days

Go from zero to deployed. You’ll design, build, test, and launch a live AI-powered application — not just write prompts.

Systems Thinking, Not Tool Hype

Understand how modern AI systems actually work — models, APIs, memory, RAG, agents, automation — and how they fit together.

Agents, Memory & Automation

Build AI systems that take actions, persist conversations, use tools, and execute multi-step workflows.

Hands-On, Portfolio-Driven Learning

Every day includes a practical lab and a tangible deliverable — GitHub repo, deployed app, documentation, demo.

Deployment & Career Leverage

Ship your project live, write a strong README, record a demo, and turn your build into real career credibility.

Maven Guarantee

This course is backed by the Maven Guarantee. Students are eligible for a full refund up until the halfway point of the course.

Course syllabus

Week 1

Mar 2—Mar 8

    Day 1 – Foundations: How AI Systems Actually Work

    4 items

    Day 2 – Environment Setup for AI Development

    4 items

    Day 3 – Working with APIs & LLMs

    4 items

    Day 4 – Prompt Engineering That Actually Works

    4 items

    Day 5 – Structured Outputs & JSON Responses

    4 items

    Day 6 – Working with Documents (RAG Basics)

    4 items

    Day 7 – Building a Simple AI Web App

    4 items

Week 2

Mar 9—Mar 15

    Day 8 – Memory & State in AI Apps

    4 items

    Day 9 – AI Agents: From Chatbots to Doers

    4 items

    Day 10 – Automation & Workflows

    4 items

    Day 11 – Evaluating & Improving AI Systems

    4 items

    Day 12 – Deployment & Sharing

    4 items

    Day 13 – Capstone Build Day

    4 items

    Day 14 – Portfolio, Documentation & Next Steps

    4 items

Schedule

Live sessions

1-2 hrs / week

Projects

15-20 hrs / week

Async content

10-15 hrs / week

$200

USD

4 days left to enroll

Enroll