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Fullstack AI Engineering

AI Engineering

Build complete AI products end to end — LLM APIs, retrieval pipelines, agent backends, and the frontends that put them in users’ hands. McTaba’s deepest AI program.

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Quick Facts

Duration: 16 weeks
Format: Part-time · Remote
Tuition: TBA
Level: Intermediate → Advanced

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16 weeks · Part-time · Remote

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From API call to shipped product.

Most AI courses stop at the API. This one starts there. You will build retrieval pipelines, agent backends, evaluation harnesses, and the frontends that put AI features in front of real users — end to end, no hand-waving.

What you will build

LLM-powered applications with structured outputs
RAG pipelines with vector search
Agent systems with tool use
Evaluation and observability dashboards
A complete AI product shipped to production

Course Details

What is this course?

A 16-week program that takes developers from API basics to shipping complete AI products. Covers LLM APIs, structured outputs, RAG, agents, evals, and AI frontends.

Who it’s for

Developers who want to build AI products, not just call APIs
Full-stack engineers adding AI capabilities to their skill set
Technical founders building AI-powered products
Marathon graduates ready for the next level

Prerequisites

Solid JavaScript or Python skills
Experience building web applications
Familiarity with REST APIs and databases
Basic understanding of what LLMs are

Why learn this

AI engineering is the fastest-growing role in tech globally
Companies pay a premium for developers who can ship AI features, not just prototype them
The gap between "can call an API" and "can ship an AI product" is where the value is
RAG and agents are the building blocks of every production AI system