This course explores the transformative potential of artificial intelligence (AI) and blockchain, specifically focusing on how they intersect in the Web3 era. We'll begin by examining the evolution of the Internet—from the early days of Web1 to the emergence of Web3. You'll look at the layers of the Web3-AI stack, and some of the unique opportunities and challenges that AI faces in the Web3 era. In Module 2, we'll explore how blockchain can make Generative AI more transparent, secure, and reliable, and how Generative AI can enhance what blockchains do—from automating smart contracts to optimizing networks and creating personalized experiences. In Module 3, we'll look beyond Generative AI and explore other areas where AI and blockchain intersect, including Agentic AI, decentralized governance, and AI-driven tokenomics. Finally, in Module 4, we’ll examine some real-world use cases in healthcare, arts and media, global commerce, energy, and sustainability. You’ll see how blockchain and AI work together to improve security, transparency, and adaptability across industries, delivering benefits to both businesses and users alike.
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Détails à connaître
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Ajouter à votre profil LinkedIn
janvier 2025
18 devoirs
Découvrez comment les employés des entreprises prestigieuses maîtrisent des compétences recherchées
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Obtenez un certificat professionnel
Ajoutez cette qualification à votre profil LinkedIn ou à votre CV
Partagez-le sur les réseaux sociaux et dans votre évaluation de performance
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Il y a 4 modules dans ce cours
In Module 1, you will be introduced to the concept of Web3, the next era of the internet, and how it builds upon previous eras of the Web. You'll learn how Web3 aims to cultivate a more open, transparent, and decentralized online experience, leveraging blockchain to empower users with control over their digital assets, data, and identities. You will also learn about decentralization across three primary levels: value, infrastructure, and organizations. We'll discuss how decentralization returns power and control to users, enabling them to own and manage their data and assets, actively participate in governance processes, and benefit from more resilient and accessible online services. We will then focus on the intersection of blockchain and AI, examining the six layers of the Web3-AI ecosystem: decentralized infrastructure, data fabric, foundation models, domain-specific models, smart contracts, and applications. Finally, we will look at both the opportunities and challenges that arise when AI and blockchain intersect in a Web3 world.
Inclus
7 vidéos3 lectures5 devoirs1 sujet de discussion
In this module, you will learn how blockchain and generative AI can work together to improve each other and create innovative solutions across various industries. We will first examine how blockchain can enhance generative AI by providing a secure and transparent infrastructure for data integrity and provenance, enabling trusted federated learning, and improving AI decision-making. Then, you will explore how generative AI can, in turn, enhance blockchain technology by automating smart contract creation, personalizing decentralized applications while respecting user privacy, generating unique digital assets like NFTs, optimizing blockchain networks, and simplifying blockchain interactions for users. Finally, we will consider real-world examples of this synergy in sectors like arts and media, real estate, gaming, risk assessment, and supply chain management.
Inclus
5 vidéos3 lectures4 devoirs
In this module, you will expand your knowledge of AI beyond generative AI to explore how the broader AI landscape intersects with blockchain in a Web3 world. We will first consider "Agentic AI," which describes AI systems designed to autonomously pursue complex goals and workflows with limited direct human supervision. You will learn how blockchain can enhance the security and trustworthiness of these AI agents. Next, we will examine how AI can be used to facilitate and improve operations and decision-making in Decentralized Autonomous Organizations (DAOs), and the importance of balancing AI capabilities with human input in decentralized governance. We will also discuss some of the ethical considerations and challenges associated with AI and blockchain. Finally, you will learn how AI can be used to transform blockchain economics through AI-driven tokenomics and incentive structures.
Inclus
5 vidéos3 lectures4 devoirs
In this module, you will explore how the intersection of AI and blockchain can be used to transform various industries. In healthcare, you will learn how AI and blockchain can personalize medicine, streamline clinical trials, and improve drug development and healthcare operations. In arts and media, you will discover how blockchain can be used to verify the authenticity of digital content, ensure fair compensation for creators, and create new interactive experiences. Next, we will examine global commerce and explore how AI and blockchain can streamline cross-border payments, customs clearance, and logistics, as well as enhance ESG tracking and transparency. Finally, we will look at the energy and sustainability sector, where you will learn how AI and blockchain are being used to create decentralized energy markets, optimize grid resilience, and encourage energy efficiency.
Inclus
7 vidéos4 lectures5 devoirs
Offert par
Recommandé si vous êtes intéressé(e) par Leadership and Management
Vanderbilt University
Coursera Instructor Network
Vanderbilt University
Microsoft
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