Description

Artificial Intelligence Technology

The Official Huawei ICT Academy AI Textbook

308 Pages. Full-Stack AI. From Foundations to Enterprise Deployment.

If you’re serious about understanding Artificial Intelligence — not just using tools — this is the book that builds real technical depth.

This is not hype.
This is infrastructure-level AI knowledge.

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📘 What This Book Actually Is

This is the official Huawei ICT Academy textbook on Artificial Intelligence

It is:

• Structured

• Technical

• Systematic

• Industry-aligned

• Enterprise-focused

It covers AI from foundational theory all the way to real-world industrial applications.

This is the kind of material used to train ICT professionals globally.

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🧠 What You’ll Learn Inside

This is not a surface-level AI overview.

This is a structured journey through the AI stack.

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🔹 1. Foundations of Artificial Intelligence

• What AI really is (beyond headlines)

• Relationship between AI, Machine Learning, and Deep Learning

• History of AI (from Turing to Deep Learning era)

• Strong vs Weak AI

• Symbolism, Connectionism, Behaviorism

• Ethical debates and AI controversies

• Development trends shaping the future

If you want conceptual clarity — this delivers it.

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🔹 2. Machine Learning – Core Algorithms

You’ll learn:

• Supervised, unsupervised, semi-supervised learning

• Reinforcement learning

• Linear regression

• Logistic regression

• Decision trees

• Support Vector Machines (SVM)

• K-Nearest Neighbor (KNN)

• Naive Bayes

• Ensemble learning

• Clustering algorithms

• Model evaluation & validation

• Gradient descent and hyperparameter tuning

This is the backbone of AI engineering.

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🔹 3. Deep Learning – Neural Network Systems

Including:

• Perceptrons

• Backpropagation

• Loss functions

• Activation functions

• Regularization techniques

• Optimizers (Momentum, Adam, RMSprop)

• CNN (Convolutional Neural Networks)

• RNN (Recurrent Neural Networks)

• GANs (Generative Adversarial Networks)

• Overfitting & vanishing gradients

You move from theory to structured neural architecture understanding.

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🔹 4. Deep Learning Frameworks

Hands-on exposure to:

• TensorFlow 2.0

• PyTorch

• MindSpore

Including:

• Tensor basics

• Model building

• Training workflows

• Environment setup

This is practical AI development knowledge.

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🔹 5–8. Enterprise AI & Infrastructure

This is where most AI books stop.

This one continues.

You’ll understand:

• Huawei MindSpore AI framework

• Atlas AI computing solutions

• Ascend AI processors

• AI chip architecture

• Cloud-based AI deployment

• ModelArts platform

• Enterprise AI service integration

• Industrial use cases in finance, transportation, manufacturing, logistics

This bridges AI theory with industrial implementation.

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🎯 Who This Is For

This book is ideal for:

• ICT students

• AI learners

• Developers

• Engineers

• Cloud professionals

• Enterprise tech teams

• AI consultants

• Anyone who wants structured AI knowledge

If you want to move beyond “prompting tools” and actually understand the mechanics behind AI systems — this is your foundation.

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⚙️ Why This Book Is Different

Most AI content online is:

• Fragmented

• Simplified

• Trend-focused

• Tool-specific

This book is:

• Systematic

• Technical

• Architecture-level

• Enterprise-aligned

• Infrastructure-aware

It teaches AI as a system — not as a buzzword.

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📈 The Competitive Advantage

Understanding AI at this level allows you to:

• Build AI-powered products

• Understand AI infrastructure

• Design scalable ML systems

• Deploy AI in enterprise environments

• Speak confidently in technical discussions

• Position yourself in high-value AI roles

AI isn’t just about using models.

It’s about understanding how they’re built, trained, optimized, and deployed.

This book gives you that edge.

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🔥 In a World of AI Hype — Learn the Real Architecture

Artificial Intelligence is reshaping:

• Industry

• Business

• Healthcare

• Transportation

• Finance

• Cloud computing

• Robotics

If you only consume surface-level AI content, you stay replaceable.

If you understand the infrastructure behind AI — you become valuable.

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📘 Artificial Intelligence Technology

Official Huawei ICT Academy Textbook

308 pages of structured AI knowledge.

Available now.