The Complete AI Engineer Roadmap (Paperback)
Steven J. Maranto
Sold by Grand Eagle Retail, Bensenville, IL, U.S.A.
AbeBooks Seller since 12 October 2005
New - Soft cover
Condition: New
Ships within U.S.A.
Quantity: 1 available
Add to basketSold by Grand Eagle Retail, Bensenville, IL, U.S.A.
AbeBooks Seller since 12 October 2005
Condition: New
Quantity: 1 available
Add to basketPaperback. The Complete AI Engineer Roadmap: Step-by-Step Skills, Practical Projects, and Insider Tips for Fast-Track Career ResultsBreaking into AI engineering-or leveling up-can feel overwhelming. New tools appear every week, job requirements shift constantly, and competitors often seem two steps ahead. How do you build the right skills, choose the right projects, and position yourself for real career growth without wasting years on the wrong path?This book gives you a clear, structured answer. The Complete AI Engineer Roadmap lays out a practical, end-to-end system for becoming a high-impact AI engineer, supported by real projects, actionable workflows, and the exact skills companies are hiring for today. Instead of scattered tutorials or vague theory, you get a focused path designed to help you gain competence faster, build a standout portfolio, and deliver production-ready AI systems with confidence.You'll master the foundations-programming, math, data handling, machine learning, deep learning, and modern LLM workflows-then progress through hands-on projects that elevate your skills from beginner to advanced. You'll learn how professional AI engineers think, build, ship, and maintain real systems, while also sharpening your system design, MLOps, prompt engineering, and cloud deployment capabilities. Along the way, you'll gain the strategic habits, communication patterns, and leadership insights that distinguish rising engineers from those who stay stuck.By the end of this book, you'll know how to: Build complete AI solutions from data ingestion to deploymentApply machine learning and deep learning techniques to real problemsWork confidently with LLMs, RAG pipelines, agents, vector databases, and multimodal modelsDesign production-grade data pipelines, model registries, and monitoring systemsCreate a powerful portfolio with projects that demonstrate real engineering depthPrepare for interviews with system design, modeling, and prompt engineering insightsStrengthen your long-term career with clear 12-month and 36-month action plansWhether you want a career transition, a promotion, or the ability to ship end-to-end AI systems on your own, this is the comprehensive guide that shows you exactly how to get there. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Seller Inventory # 9798274286732
The Complete AI Engineer Roadmap: Step-by-Step Skills, Practical Projects, and Insider Tips for Fast-Track Career Results
Breaking into AI engineering—or leveling up—can feel overwhelming. New tools appear every week, job requirements shift constantly, and competitors often seem two steps ahead. How do you build the right skills, choose the right projects, and position yourself for real career growth without wasting years on the wrong path?
This book gives you a clear, structured answer. The Complete AI Engineer Roadmap lays out a practical, end-to-end system for becoming a high-impact AI engineer, supported by real projects, actionable workflows, and the exact skills companies are hiring for today. Instead of scattered tutorials or vague theory, you get a focused path designed to help you gain competence faster, build a standout portfolio, and deliver production-ready AI systems with confidence.
You’ll master the foundations—programming, math, data handling, machine learning, deep learning, and modern LLM workflows—then progress through hands-on projects that elevate your skills from beginner to advanced. You’ll learn how professional AI engineers think, build, ship, and maintain real systems, while also sharpening your system design, MLOps, prompt engineering, and cloud deployment capabilities. Along the way, you’ll gain the strategic habits, communication patterns, and leadership insights that distinguish rising engineers from those who stay stuck.
By the end of this book, you’ll know how to:
Build complete AI solutions from data ingestion to deployment
Apply machine learning and deep learning techniques to real problems
Work confidently with LLMs, RAG pipelines, agents, vector databases, and multimodal models
Design production-grade data pipelines, model registries, and monitoring systems
Create a powerful portfolio with projects that demonstrate real engineering depth
Prepare for interviews with system design, modeling, and prompt engineering insights
Strengthen your long-term career with clear 12-month and 36-month action plans
Whether you want a career transition, a promotion, or the ability to ship end-to-end AI systems on your own, this is the comprehensive guide that shows you exactly how to get there.
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