Developing AI Applications, An Introduction

Developing AI Applications: An Introduction

Architect the intelligence of the future and master the high-performance protocols of modern machine learning. Developing AI Applications provides a definitive, engineering-first roadmap to the most significant shift in software development since the internet. Learn how to move beyond static logic to high-velocity, adaptive applications—bridging the gap between a standalone script and a sophisticated, learning-capable system—ensuring your digital products are resilient, scalable, and ready for the 2026 AI-driven economy.

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What You Will Learn:

Foundations of AI Integration: Master the core principles of supervised and unsupervised learning to build applications that recognize patterns and predict outcomes.

Modern Neural Network Architectures: Step-by-step guidance on utilizing Deep Learning frameworks to process complex data types like natural language and high-resolution imagery.

AI Model Lifecycle Management: Discover how to train, validate, and deploy models while maintaining the highest level of information security and data integrity.

Strategic Prompt Engineering & LLMs: Learn advanced techniques for integrating Large Language Models (LLMs) into custom software to enhance the technical agility of your user interfaces.

Who This Book is For: This professional-grade guide is essential for Software Engineers, Data Scientists, and Aspiring AI Developers. It is an invaluable resource for any technical lead—including those building intelligent monitoring features for graduation projects like Smart Guard—aiming to master the structural integrity and predictive power required for modern software delivery.

Product Details:

Format: Digital PDF Download

Author: Metin Karatas

Publisher: Rheinwerk Computing (SAP Press)

ISBN-13: 9781493226016

ISBN-10: 1493226010