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AI Engineer Roadmap

Break Into the Field and Build a Career: Master LLM Skills, RAG Systems, and Agentic AI to Land Your First Role, Negotiate Top Salaries, and Advance to Senior Level

Idioma InglésInglés
Libro Tapa blanda
Libro AI Engineer Roadmap Nolan Ezra Vale
Código Libristo: 53016566
Editores Independently published, junio 2026
Artificial intelligence is creating one of the fastest-growing career paths in technology, but break... Descripción completa
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18.09
Reaprovisionamiento previsto Lanzamiento 29. 06. 2026

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Artificial intelligence is creating one of the fastest-growing career paths in technology, but breaking into AI engineering can feel confusing, overwhelming, and difficult to navigate.

AI Engineer Roadmap: Break Into the Field and Build a Career gives technically motivated readers a practical, career-focused guide to understanding what AI engineers actually do, which skills matter most, how to build a credible portfolio, how to prepare for interviews, and how to grow from entry-level candidate to senior AI professional.

This book explains the modern AI engineering career path in clear, practical terms, with a focus on real-world skills such as software engineering foundations, LLM applications, prompt engineering, retrieval-augmented generation, vector databases, agentic AI systems, evaluation, observability, data pipelines, fine-tuning, MLOps, responsible AI, security, portfolio development, interviewing, compensation, negotiation, and career progression.

Inside, readers will learn how to:

Understand what AI engineers actually build and maintain
Read AI job postings and identify real requirements
Build the engineering foundation required for AI roles
Learn LLM fundamentals and applied prompt engineering
Understand RAG architecture beyond basic tutorials
Design agentic systems that can reason, act, and use tools
Evaluate AI systems and monitor production behavior
Understand data pipelines, fine-tuning, and MLOps basics
Apply responsible AI and security principles
Build a portfolio that demonstrates engineering judgment
Prepare for AI engineering interviews
Understand compensation, offers, and negotiation strategy
Plan career growth from junior to senior and staff-level roles

Written for software engineers, data analysts, data engineers, bootcamp graduates, technical career changers, and ambitious learners, this guide avoids hype and focuses on the practical skills that hiring managers actually value.

AI engineering is not just about using models. It is about building reliable systems around them. This book shows readers how to prepare for that career with clarity, discipline, and confidence.

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Sobre el libro

Nombre y apellidos AI Engineer Roadmap
Idioma Inglés
Encuadernación Libro - Tapa blanda
Fecha de publicación 2026
Número de páginas 274
EAN 9798183814743
Código Libristo 53016566
Peso 336
Dimensiones 152 x 229 x 17
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