Step into the world of Ethereum, a decentralized network reshaping how we interact with technology.

At its core lies the Ethereum Virtual Machine (EVM), a powerful runtime environment for smart contracts, maintained by a network of nodes. Explore how accounts, states, and transactions come together to create a seamless ecosystem, powered by gas to measure computational effort.

But Ethereum isn’t just technology—it’s an ecosystem. From wallets and exchanges to dApps and essential tools like Solidity and Etherscan, discover how it all connects.

Through hands-on assignments, you’ll navigate Etherscan, verify smart contracts, and investigate token and address details, gaining practical insight into the mechanics of decentralization.

This is the story of Ethereum, where code meets trust, and decentralization fuels the future.

Imagine a world where trust doesn’t rely on a single authority.

Decentralized systems, powered by blockchain, have rewritten the rules—offering resilience, transparency, and security like never before. The journey begins with understanding how centralized systems evolved into decentralized and distributed models, each with its unique role.

At the heart of this revolution lie consensus mechanisms like Proof of Work (PoW) and Proof of Stake (PoS), each telling a story of trade-offs—security, energy use, and efficiency.

This is not just a lesson in technology; it’s the narrative of how trust became distributed and systems became truly global. Dive in to explore the strengths, weaknesses, and innovations shaping our decentralized future.

Discover a clear, five-step process for implementing Generative AI effectively in your business. Start by identifying impactful problems that AI can solve, ensuring the technology addresses real needs. Next, learn how to choose a secure and scalable data platform and build a robust, well-governed data foundation to support your AI initiatives.

The chapter highlights the power of team collaboration, bringing together diverse skills to drive innovation. Finally, it emphasizes the importance of measuring success, learning from experiments, and celebrating achievements to foster ongoing growth.

This practical guide helps you take actionable steps toward successfully adopting generative AI in your organization.