In this module, you’ll explore the six layers of the Web3-AI ecosystem and examine how they work together to support decentralized applications and AI services. You’ll learn how decentralized infrastructure, data systems, foundational and domain-specific models, smart contracts, and user-facing applications each contribute to a more open, secure, and user-centric digital environment. By the end of the module, you’ll be able to explain how these layers interact to enable innovation across areas such as healthcare, finance, governance, and supply chain.

In this module, you’ll explore how AI and blockchain complement one another in a Web3 environment, as well as the key challenges that come with combining these technologies. You’ll examine major synergies such as decentralized intelligence, trustworthy data, AI-enhanced smart contracts, privacy, transparency, and tokenized incentives, while also assessing important limitations related to data access, interoperability, computational demands, governance, and ethics. By the end of the module, you’ll be able to identify both the opportunities and the tradeoffs involved in building AI-enabled decentralized systems.

In this module, you’ll review the key concepts covered so far, including the evolution of the web from Web1 to Web3, the three levels of decentralization, the six layers of the Web3-AI ecosystem, and the major synergies and challenges at the intersection of AI and blockchain. The graded assignment will evaluate your understanding of these concepts and your ability to apply them to opportunities, tradeoffs, and emerging use cases in a Web3 world.