9798183814743 - 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 di vale, nolan ezra (4 risultati)
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PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
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Paperback. Condizione: new. Paperback. 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 practica…l, 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 maintainRead AI job postings and identify real requirementsBuild the engineering foundation required for AI rolesLearn LLM fundamentals and applied prompt engineeringUnderstand RAG architecture beyond basic tutorialsDesign agentic systems that can reason, act, and use toolsEvaluate AI systems and monitor production behaviorUnderstand data pipelines, fine-tuning, and MLOps basicsApply responsible AI and security principlesBuild a portfolio that demonstrates engineering judgmentPrepare for AI engineering interviewsUnderstand compensation, offers, and negotiation strategyPlan career growth from junior to senior and staff-level rolesWritten 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. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
