Name: AI Master Guide. The Complete Student Handbook on Applications & Innovation (en Inglés)
SKU: 67295900
Price: 21.49 USD
Availability: InStock
Author: Amaara & Verma Abeer Verma

portada AI Master Guide. The Complete Student Handbook on Applications & Innovation (en Inglés)

AI Master Guide. The Complete Student Handbook on Applications & Innovation (en Inglés)

Formato

Libro Físico

Editorial

Diamond Magazine Private Limited

Autor

Amaara & Verma Abeer Verma

Año

2026

Idioma

Inglés

N° páginas

122

Encuadernación

Tapa Blanda

Dimensiones

21.6x14x0.7 cm

ISBN13

9789363214989

AI Master Guide. The Complete Student Handbook on Applications & Innovation (en Inglés)

Amaara & Verma Abeer Verma (Autor) · Diamond Magazine Private Limited · Tapa Blanda

Libro Nuevo Importado

Envío: 16 a 22 días háb.

$ 42.98$ 21.49

-50%

Costos de importación incluídos en el precio ✅

Libro Nuevo

Quedan 50 unidades

$ 21.49

Llega entre el 15 Sep y el 25 Sep a Quito, Pichincha. Seleccionar ubicación

Agregar a lista de deseos

Reseña del libro "AI Master Guide. The Complete Student Handbook on Applications & Innovation (en Inglés)"

AI Master Guide : The Complete Student Handbook on Applications & Innovation-: Artificial Intelligence Is Reshaping The World. Are You Ready to Understand It Fully?
AI is no longer limited to chatbots or recommendation systems. It powers healthcare diagnostics, financial forecasting, autonomous systems, climate modeling, and global innovation.But understanding AI requires more than surface-level knowledge.
AI Master Guide is a comprehensive student handbook designed to move beyond basic definitions and into real-world applications, system design, and innovation thinking.Written by student authors Amaara Verma and Abeer Verma, this guide bridges technical clarity with strategic insight.
Inside this handbook, you will explore :
• The architecture of AI systems and data pipelines
• Machine Learning, Deep Learning, and intelligent automation
• Real-world AI applications across industries
• Innovation frameworks powered by AI
• Responsible AI, bias, and algorithmic accountability
• Emerging AI careers and future skill pathways
• How students can build, experiment, and innovate responsibly