Artificial intelligence and blockchain are two of the most transformative technologies reshaping industries today. The convergence of artificial intelligence and blockchain technology is revolutionizing modern computing by solving critical issues like data monopolies, security vulnerabilities, and single points of failure.
This book systematically guides you through the entire landscape of decentralized artificial intelligence. It starts with the core foundations of Web3, blockchain architecture, consensus mechanisms, and distributed storage systems like IPFS and Arweave. You will then explore decentralized network design, peer-to-peer protocols, and hands-on smart contract development using Solidity to manage AI model registration, access control, and automated payments. You will discover how to build sustainable token economies with utility tokens, staking models, and DAO governance structures. The book covers cutting-edge cryptography, alongside smart contract security auditing, threat detection, production CI/CD pipelines, and real-world enterprise case studies across healthcare, finance, supply chain, gaming, and scientific research.
By the end of this book, readers will be equipped to design and deploy secure, transparent decentralized AI systems. You will gain hands-on skills in smart contract development, federated learning, privacy engineering, and token economy design, positioning you at the forefront of the next wave of AI innovation.
What you will learn
● Understand decentralized AI principles and blockchain integration fundamentals.
● Build and deploy smart contracts for AI model management.
● Implement federated learning systems with privacy-preserving techniques.
● Design tokenomics and incentive mechanisms for AI networks.
● Apply zero-knowledge proofs and secure multi-party computation.
● Analyze real-world case studies across healthcare, finance, and supply chain.
Who this book is for
This book is for AI/ML engineers, blockchain developers, software engineers, data scientists, technology architects, and product managers who want to build the next generation of decentralized AI systems. Readers with a foundational understanding of programming and basic machine learning concepts will benefit most from this comprehensive guide.
Table of Contents
1. Introduction to Decentralized AI and Blockchain
2. Fundamentals of Blockchain Technology for AI
3. Decentralized AI Network Architecture
4. Smart Contracts for AI Applications
5. Federated Learning with Blockchain
6. Model Deployment and Management
7. Introduction to Decentralized AI and Blockchain
8. Privacy-preserving AI Techniques
9. Security and Threat Detection
10. Building Production Ready Systems
11. Case Studies and Future Trends
