LEARNING PATH · INTERMEDIATE

Frontend Engineer → Full-Stack AI Engineer

Build complete AI-powered applications end-to-end

Extend your React/frontend expertise with backend development, APIs, and AI integration. Learn to build full-stack AI applications from UI through to LLM calls and data persistence.

6–12 months

8 hrs/week

2 tracks

$140,000–$205,000

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TARGET ROLE

Full-Stack AI Engineer, AI Product Engineer

SALARY RANGE

$140,000–$205,000

DIFFICULTY

Intermediate

WHAT'S INCLUDED

Tracks in This Path

This path combines 2 curated learning tracks, sequenced to build on each other.

AI Professional

Master full-stack AI development

AI Job Seeker

Land full-stack AI engineering roles

LEARNING OUTCOMES

What You'll Be Able To Do

By the end of this path, you'll have concrete, job-ready skills.

Build REST and GraphQL APIs with Node.js, Python, or similar

Integrate LLMs into production applications (Claude, GPT, Llama)

Design and implement RAG (Retrieval-Augmented Generation) systems

Work with vector databases for semantic search

Deploy AI apps to production with proper error handling

Complete an AI web application for your portfolio

FAQ

Common Questions

Do I need to become a backend expert?+

Not an expert—a solid generalist. You'll learn enough backend to ship features. Focus on APIs, databases, and AI integration patterns.

What backend language should I learn?+

Python (FastAPI/Django) or Node.js (Express) are best for AI apps. Pick one and go deep. Your existing programming fundamentals transfer.

How much math/AI do I need to know?+

Less than you think. You don't need to understand LLM internals—just how to integrate and prompt them effectively. Learn enough to use the tools well.

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Ready to start this path?

Take our 2-minute quiz to confirm this is the right path for you — or dive straight in.

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Last updated: 2026-03-07