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Generative AI and Blockchain

Alisa Acosta, Don Tapscott, Alex Tapscott, and Douglas Heintzman

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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Explores the intersection of AI and blockchain, which are key technologies driving innovation in various industries

Examines real-world use cases across healthcare, arts, media, commerce, energy, and sustainability, offering insights into practical applications

Looks at the layers of the Web3-AI stack, which provides a technical understanding of how these technologies are integrated

Examines the evolution of the Internet from Web1 to Web3, which provides a foundational understanding of the current digital landscape

Addresses the unique opportunities and challenges that AI faces in the Web3 era, which is crucial for navigating this evolving space

Explores topics such as Agentic AI, decentralized governance, and AI-driven tokenomics, which are relevant to the future of decentralized systems

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Generative AI and Blockchain with these activities:

Review Blockchain Fundamentals

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Solidify your understanding of blockchain concepts before diving into the complexities of its integration with AI.

Browse courses on Blockchain

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Review the basics of blockchain technology, including blocks, chains, and consensus mechanisms.
Study different types of blockchains, such as public, private, and consortium blockchains.
Familiarize yourself with key blockchain terminology and concepts.

Review AI Fundamentals

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Solidify your understanding of AI concepts before diving into the complexities of its integration with blockchain.

Browse courses on Generative AI

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Review the basics of AI technology, including neural networks and machine learning.
Study different types of AI, such as generative AI and agentic AI.
Familiarize yourself with key AI terminology and concepts.

Read 'Blockchain Basics' by Daniel Drescher

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Gain a solid understanding of blockchain fundamentals to better grasp its applications in the context of AI.

View Blockchain Basics: A Non-Technical Introduction... on Amazon

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Read the book, focusing on the chapters that explain the core concepts of blockchain.
Take notes on key terms and concepts.
Reflect on how blockchain technology can be applied in different industries.

Four other activities

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Create a Blog Post on AI and Blockchain Use Cases

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Solidify your understanding of the course material by researching and writing about real-world applications of AI and blockchain.

Browse courses on Generative AI

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Research different use cases of AI and blockchain across various industries.
Choose a specific use case to focus on for your blog post.
Write a blog post that explains the use case in detail, including the benefits and challenges.
Publish your blog post on a platform like Medium or LinkedIn.

Develop a Prototype for an AI-Powered Decentralized Application (DApp)

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Apply your knowledge by building a practical project that combines AI and blockchain technologies.

Browse courses on Smart Contracts

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Brainstorm ideas for a DApp that leverages both AI and blockchain.
Design the architecture of your DApp, including the smart contracts and AI components.
Develop a prototype of your DApp, focusing on the core functionality.
Test and refine your prototype.

Read 'Hands-On Machine Learning with Scikit-Learn, Keras & TensorFlow' by Aurélien Géron

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Enhance your understanding of the AI components used in conjunction with blockchain by studying practical machine learning techniques.

View Hands-On Machine Learning with Scikit-Learn,... on Amazon

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Read the book, focusing on the chapters that cover the machine learning techniques relevant to your project.
Experiment with the code examples provided in the book.
Apply the machine learning techniques to your DApp prototype.

Contribute to an Open-Source AI or Blockchain Project

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Deepen your knowledge and skills by contributing to real-world projects in the AI and blockchain space.

Browse courses on Open Source

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Identify an open-source project that aligns with your interests and skills.
Review the project's documentation and contribution guidelines.
Contribute code, documentation, or other resources to the project.
Participate in the project's community discussions.

Career center

Learners who complete Generative AI and Blockchain will develop knowledge and skills that may be useful to these careers:

Web3 Developer

A Web3 Developer is a software engineer who builds applications and systems utilizing blockchain technology and decentralized protocols. This course directly introduces the intersection of Web3 and artificial intelligence, providing insight into how generative AI and blockchain can be used in tandem. This course helps one to understand how to develop applications that leverage the power of both technologies, for example, in smart contracts or decentralized applications. It highlights real world use cases, which informs the development of Web3 projects. This course introduces the layers of the Web3-AI stack, which provides core knowledge for a Web3 Developer. The course material on blockchain's role in enhancing generative AI, and how generative AI enhances blockchains, proves particularly useful to a Web3 Developer.

See salaries and explore the career path for Web3 Developer

Blockchain Solutions Architect

A Blockchain Solutions Architect designs and develops blockchain-based systems for organizations, combining expertise in blockchain and information technology infrastructure. This course provides insight into how generative AI and blockchain intersect, which guides the design of holistic solutions. A Blockchain Solutions Architect should understand how blockchain can enhance artificial intelligence, and vice versa, which this course directly addresses. Examining real-world use cases found in this course is highly relevant to planning and implementation of blockchain systems. The course's exploration of the Web3-AI stack provides a foundational understanding of how these technologies work together. This person will benefit from the course's discussion of decentralized governance and AI driven tokenomics, which are used in blockchain solution design.

See salaries and explore the career path for Blockchain Solutions Architect

Emerging Technology Analyst

An Emerging Technology Analyst studies and evaluates cutting edge technologies to provide insights to organizations. This course provides a detailed examination of the intersection of generative AI and blockchain. By taking this course, an Emerging Technology Analyst will gain a holistic understanding of these technologies, and their potential impact in the Web3 era. This course discusses the unique opportunities and challenges that AI faces in Web 3, which would inform the work of an analyst. The course’s discussion of real-world examples across multiple industries will enable an analyst to provide informed commentary and strategic vision. An Emerging Technology Analyst specifically interested in the interaction between AI and blockchain would be wise to take this course.

See salaries and explore the career path for Emerging Technology Analyst

Technology Consultant

A Technology Consultant advises organizations on how to leverage technology to meet their business goals. This course explores how artificial intelligence and blockchain can transform industries, which is of high value to a Technology Consultant. In particular, this course examines how blockchain can make generative AI more secure and reliable, and how generative AI can enhance blockchain functionalities, which a Technology Consultant must know. The course also provides real world examples of how these technologies work in healthcare, arts and media, commerce, and energy. A Technology Consultant may be able to use this knowledge to provide informed advice to their clients. By understanding the Web3-AI stack, a Technology Consultant can better advise clients on what is possible with these technologies.

See salaries and explore the career path for Technology Consultant

Decentralized Finance Specialist

A Decentralized Finance Specialist works with decentralized financial systems and technologies. This course covers the intersection of AI and blockchain in the Web3 era, which is very relevant. The course may be useful to understand the unique challenges and opportunities presented by AI in decentralized finance. AI-driven tokenomics, covered in this course, is particularly relevant. It introduces concepts such as automated smart contracts, which a Decentralized Finance Specialist would utilize. This course is valuable given its discussion of blockchain's role in enhancing generative AI and vice versa. The course's review of how these technologies converge is most useful.

See salaries and explore the career path for Decentralized Finance Specialist

Generative AI Specialist

A Generative AI Specialist focuses on creating and developing models that generate new content. This course may be useful by providing an understanding of how generative AI interacts with blockchain. The course illustrates how to leverage blockchain for more secure, transparent, and reliable generative AI models, which is valuable for a Generative AI Specialist. An understanding of the Web3 landscape is valuable to a Generative AI Specialist who wants to apply AI to Web3. The exploration of real-world applications of AI with blockchain will inform the work of a Generative AI Specialist in several industries. This person will benefit from the courses discussion of how to make generative AI more transparent and secure.

See salaries and explore the career path for Generative AI Specialist

Innovation Manager

An Innovation Manager is responsible for identifying new ideas, technologies, and processes that can drive business growth. This course covers the intersection of artificial intelligence and blockchain, which is ideal for innovation. The Innovation Manager will learn about the power of generative AI within blockchain, and how AI can automate smart contracts and optimize networks. It covers real world examples of how blockchain and AI are used in industries like healthcare, arts and media, and energy. This insight can inspire new ideas and strategies. The course's examination of AI driven tokenomics opens up opportunities for new business models. An Innovation Manager might find this course useful to discover and experiment with these technologies.

See salaries and explore the career path for Innovation Manager

Product Manager

A Product Manager defines the vision, strategy, and roadmap for a product. This course can provide a broad overview of how artificial intelligence and blockchain can be used in Web3. A Product Manager will benefit from understanding the layers of the Web3-AI stack, and how blockchain can enhance AI and vice versa. The real-world use cases across different industries, discussed in this course, are highly valuable for a Product Manager looking to innovate in emerging tech. Given that generative AI and blockchain are constantly changing, a Product Manager would be wise to take this course to stay up-to-date on the technology. This course will help inform the product development process.

See salaries and explore the career path for Product Manager

Cryptocurrency Analyst

A Cryptocurrency Analyst evaluates the cryptocurrency and digital asset market. This course provides a detailed view of how AI and blockchain interact, which is very valuable for a Cryptocurrency Analyst. It may be helpful to know how generative AI can enhance blockchains, and how blockchain can be used to secure AI systems. The analyst may find real world case studies valuable to understand the impact of this technology on digital assets. The course covers AI-driven tokenomics, which is essential knowledge for a Cryptocurrency Analyst. Therefore, this course could help an analyst gain a deeper understanding of market dynamics.

See salaries and explore the career path for Cryptocurrency Analyst

Artificial Intelligence Engineer

An Artificial Intelligence Engineer develops and implements artificial intelligence models. This course may be helpful by providing an overview of how generative AI interacts with blockchain technology. It covers the unique opportunities and challenges AI faces within the Web3 environment, which informs the development of AI-driven applications. This course introduces the Web3-AI stack, which is relevant to the work of an Artificial Intelligence Engineer seeking to work in Web3. An Artificial Intelligence Engineer who wishes to leverage the power of both AI and blockchain in their work will find this course useful. The course also presents real world applications of AI and blockchain, which will help an Artificial Intelligence Engineer looking to create projects in these areas.

See salaries and explore the career path for Artificial Intelligence Engineer

Blockchain Analyst

A Blockchain Analyst researches and analyzes blockchain data to identify trends and insights. This course is useful by presenting the intersection of generative AI and blockchain technology in the Web3 era. A Blockchain Analyst in Web3 would benefit from understanding the unique challenges and opportunities AI faces in this space. Blockchain Analyst might find the discussion of decentralized governance and AI-driven tokenomics in this course particularly valuable. The course's exploration of how blockchain enhances generative AI and vice versa could inform a Blockchain Analyst’s work. This course may be helpful for a Blockchain Analyst who wishes to understand the complexities of AI within blockchain.

See salaries and explore the career path for Blockchain Analyst

Smart Contract Developer

A Smart Contract Developer writes code to create self-executing contracts using blockchain technology. This course may be helpful, by exploring how AI is currently being used in Web3. A Smart Contract Developer would benefit from the course's specific focus on how generative AI can automate smart contracts. The course's overview of the Web3-AI stack provides a framework for a Smart Contract Developer who builds D-apps. This course also covers how blockchain enhances AI, and vice versa. This is a key consideration for a Smart Contract Developer in this space. Smart Contract Developers may benefit from the real wold use cases, and AI-driven tokenomics discussed within the course.

See salaries and explore the career path for Smart Contract Developer

Digital Transformation Manager

A Digital Transformation Manager helps businesses integrate new technologies to digitize their operations, and improve efficiency. This course may be helpful, since it explores the intersection of artificial intelligence and blockchain, both of which are key to digital transformation. This course presents real world examples, across industries, which a Digital Transformation Manager may find informative. This course looks at how blockchain makes generative AI more secure and reliable, which is an important consideration during digital transformation. The course's insights into the Web3-AI stack can help a Digital Transformation Manager better plan digital projects. A Digital Transformation Manager may use the course's overview of the space to inform strategic decisions.

See salaries and explore the career path for Digital Transformation Manager

Research Scientist

A Research Scientist conducts research activities. This course provides an overview of the intersection of artificial intelligence and blockchain. A Research Scientist invested in emerging technologies may benefit by taking this course to better understand how AI and blockchain can be used together. This course may help a Research Scientist to identify new areas of research, based on the real world examples and the Web3-AI stack covered in this course. Specifically, a Research Scientist seeking to explore blockchain and AI may find this course useful. This course offers a broad overview of the space, which can inform future research.

See salaries and explore the career path for Research Scientist

Data Scientist

A Data Scientist analyzes data to extract insights and develop data-driven solutions. This course looks at how artificial intelligence is used in the Web3 environment. A Data Scientist will benefit from real world examples of how blockchain and AI work together. The course examines the layers of the Web3-AI stack, which informs a Data Scientist of this technology. A Data Scientist involved in developing AI models for Web3 would be wise to take this course, as it will provide a unique perspective on this domain. This course may help a Data Scientist to understand how these technologies intersect for better data analytics.

See salaries and explore the career path for Data Scientist

Reading list

We've selected two books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Generative AI and Blockchain.

Blockchain Basics

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Provides a clear and accessible introduction to blockchain technology, making it ideal for those without a technical background. It covers the core concepts of blockchain in a step-by-step manner, explaining how it works and its potential applications. It is particularly helpful for understanding the foundational principles upon which the course builds. While not directly focused on AI, it provides essential context for understanding the blockchain side of the AI-blockchain integration.

Blockchain Basics: A Non-Technical Introduction in...

Paperback

Blockchain Basics: A Non-Technical Introduction in...

Kindle Edition

Hands-On Machine Learning with Scikit-Learn, Keras,...

Save

Provides a practical guide to machine learning using popular Python libraries. While it doesn't directly address blockchain, it offers a strong foundation in the AI techniques that are often integrated with blockchain solutions. It is useful for understanding the AI side of the AI-blockchain integration. This book is commonly used as a textbook at academic institutions and by industry professionals.

Hands-On Machine Learning with Scikit-Learn, Keras,...

Paperback

Hands-On Machine Learning with Scikit-Learn, Keras,...

Paperback

$$$

Hands-On Machine Learning with Scikit-Learn, Keras,...

Kindle Edition

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Via

Coursera

Institution

INSEAD

Instructors

Alisa Acosta

Don Tapscott

Alex Tapscott

Douglas Heintzman

Language

English

Good to know

Explores the intersection of AI and blockchain, which are key technologies driving innovation in various industries

Examines real-world use cases across healthcare, arts, media, commerce, energy, and sustainability, offering insights into practical applications

Looks at the layers of the Web3-AI stack, which provides a technical understanding of how these technologies are integrated

Examines the evolution of the Internet from Web1 to Web3, which provides a foundational understanding of the current digital landscape

Addresses the unique opportunities and challenges that AI faces in the Web3 era, which is crucial for navigating this evolving space

Explores topics such as Agentic AI, decentralized governance, and AI-driven tokenomics, which are relevant to the future of decentralized systems

Share and help others discover this course.

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