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{ "item_title" : "Full-Stack AI Engineering Mastery", "item_author" : [" Elias Sterwyn "], "item_description" : "Build modern software applications. Integrate intelligent AI capabilities. Develop the skills to engineer production-ready systems.Software engineering is evolving beyond traditional application development. Today's developers need to understand backend architecture, modern frontend frameworks, databases, machine learning, generative AI, and cloud deployment.Full-Stack AI Engineering Mastery provides a practical learning journey from C# and ASP.NET Core to Python, machine learning, and generative AI. It brings together the essential technologies and engineering practices needed to design, develop, integrate, and deploy intelligent applications.Inside this book, you will explore: C# and Modern .NET Development: Learn programming fundamentals, object-oriented design, and modern C# development.ASP.NET Core and Backend Engineering: Build APIs, implement application logic, and work with databases using Entity Framework Core.Modern Frontend Development: Explore HTML, CSS, JavaScript, TypeScript, React, and full-stack application architecture.Python and Machine Learning: Work with data processing, predictive analytics, scikit-learn, ML.NET, and machine learning workflows.Deep Learning and Generative AI: Understand neural networks, PyTorch, large language models, retrieval-augmented generation (RAG), and AI agents.Cloud and Production Engineering: Explore Azure, Docker, CI/CD pipelines, application security, and deployment practices.Real-World Projects: Apply your knowledge through practical application development, predictive analytics APIs, AI document assistants, and an end-to-end full-stack AI capstone.Who Should Read This Book?This book is designed for computer science students, beginners entering software development, aspiring full-stack engineers, backend developers, and working professionals looking to expand into machine learning and AI engineering.Whether you are building your programming foundation or strengthening your existing development skills, this guide connects software engineering fundamentals with modern intelligent application development.Learn the technologies. Understand the architecture. Build practical solutions. Engineer the next generation of intelligent applications.", "item_img_path" : "https://covers2.booksamillion.com/covers/bam/9/79/816/732/9798167327405_b.jpg", "price_data" : { "retail_price" : "19.99", "online_price" : "19.99", "our_price" : "19.99", "club_price" : "19.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Full-Stack AI Engineering Mastery|Elias Sterwyn

Full-Stack AI Engineering Mastery : From C# and ASP.NET Core to Python, Machine Learning, Generative AI, and Production-Ready Applications

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Overview

Build modern software applications. Integrate intelligent AI capabilities. Develop the skills to engineer production-ready systems.

Software engineering is evolving beyond traditional application development. Today's developers need to understand backend architecture, modern frontend frameworks, databases, machine learning, generative AI, and cloud deployment.

Full-Stack AI Engineering Mastery provides a practical learning journey from C# and ASP.NET Core to Python, machine learning, and generative AI. It brings together the essential technologies and engineering practices needed to design, develop, integrate, and deploy intelligent applications.

Inside this book, you will explore:

  • C# and Modern .NET Development: Learn programming fundamentals, object-oriented design, and modern C# development.

  • ASP.NET Core and Backend Engineering: Build APIs, implement application logic, and work with databases using Entity Framework Core.

  • Modern Frontend Development: Explore HTML, CSS, JavaScript, TypeScript, React, and full-stack application architecture.

  • Python and Machine Learning: Work with data processing, predictive analytics, scikit-learn, ML.NET, and machine learning workflows.

  • Deep Learning and Generative AI: Understand neural networks, PyTorch, large language models, retrieval-augmented generation (RAG), and AI agents.

  • Cloud and Production Engineering: Explore Azure, Docker, CI/CD pipelines, application security, and deployment practices.

  • Real-World Projects: Apply your knowledge through practical application development, predictive analytics APIs, AI document assistants, and an end-to-end full-stack AI capstone.

Who Should Read This Book?

This book is designed for computer science students, beginners entering software development, aspiring full-stack engineers, backend developers, and working professionals looking to expand into machine learning and AI engineering.

Whether you are building your programming foundation or strengthening your existing development skills, this guide connects software engineering fundamentals with modern intelligent application development.

Learn the technologies. Understand the architecture. Build practical solutions. Engineer the next generation of intelligent applications.

This item is Non-Returnable

Details

  • ISBN-13: 9798167327405
  • ISBN-10: 9798167327405
  • Publisher: Independently Published
  • Publish Date: November 2026
  • Dimensions: 9 x 6 x 1.1 inches
  • Shipping Weight: 1.59 pounds
  • Page Count: 546

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