From Zero to Full-Stack AI Engineer: 21 Hands-On Projects
Vivian Aranha
AI Instructor, School of AI
Stop Learning AI. Start Building Full-Stack AI Systems.
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.
What you’ll learn
Build real AI systems from scratch, transforming from an AI learner into a confident full-stack AI engineer with a proven portfolio.
Design full AI app architecture: model serving, logic, and UI
Build from scratch using Ollama, Python, and Streamlit
Connect models, workflows, and interfaces into real systems
Serve and manage models locally using Ollama
Tune prompts, parameters, and context windows
Compare models for quality, speed, and use-case fit
Break problems into data, model, logic, and UI layers
Apply repeatable system design patterns across projects
Debug AI behavior using structured workflows
Complete 21 unique, real-world AI projects
Structure clean, readable GitHub repositories
Present projects as production-style engineering work
Follow a daily build-first workflow
Learn how to start projects from a blank folder
Develop problem-solving habits used by AI engineers
Move beyond prompts to full application ownership
Build UIs that make AI usable by real users
Develop professional intuition for building and shipping AI
Learn directly from Vivian
Vivian Aranha
AI educator and builder helping you ship real AI systems, not just learn theory
Who this course is for
- Aspiring AI Engineers & Developers
People learning AI who want real project experience building end-to-end AI applications.
- Software Engineers Transitioning Into AI
Engineers adding AI to their stack by building full-stack AI systems from scratch.
- Builders, Founders & Technical Creators
Builders who want to ship AI-powered products and build a strong, credible portfolio.
Prerequisites
Basic programming experience (Python preferred)
You should be comfortable with simple Python scripts, functions, and loops. We focus on building, not teaching Python from scratch.
Familiarity with command line and installing tools
You’ll run commands to install tools, start models, and launch apps. No advanced system skills required—just basic comfort using a terminal.
Curiosity to build and experiment with AI systems
This is a hands-on course. Progress comes from trying, breaking, fixing, and iterating—not passive watching.
What's included
Live sessions
Learn directly from Vivian Aranha in a real-time, interactive format.
21 hands-on AI projects
Built completely from scratch
Step-by-step guidance
For building full-stack AI systems
Patterns and workflows
Real-world AI system design patterns and workflows
Lifetime access
Go back to course content and recordings whenever you need to.
Community of peers
Stay accountable and share insights with like-minded professionals.
Certificate of completion
Share your official certificate from the School of AI with your employer or on LinkedIn.
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
Jan
31
Project 1 — Local AI Chat Engine
Feb
2
Project 2 — Prompt Engineering Playground
Week 2
Feb
4
Project 3 — AI Document Q&A System
Feb
5
Project 4 — Resume Analyzer AI
Feb
6
Project 5 — AI Code Explainer
Feb
7
Project 6 — AI Email Writing Assistant
Feb
8
Project 7 — AI Meeting Notes Generator
Feb
9
Project 8 — AI Research Assistant
Schedule
Live sessions
6-8 hrs / week
Sat, Jan 31
2:00 AM—3:00 AM (UTC)
Mon, Feb 2
2:00 AM—3:00 AM (UTC)
Wed, Feb 4
2:00 AM—3:00 AM (UTC)
Projects
7-10 hrs / week
Async content
3-5 hrs / week
$1,299.99
USD