INSEAD

Integrating Generative AI with Blockchain

INSEAD

Integrating Generative AI with Blockchain

Douglas Heintzman
 Alisa Acosta
Don Tapscott

Instructors: Douglas Heintzman

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Gain insight into a topic and learn the fundamentals.
Beginner level

Recommended experience

2 hours to complete
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Beginner level

Recommended experience

2 hours to complete
Flexible schedule
Learn at your own pace

What you'll learn

  • Explain how blockchain improves generative AI through data integrity, provenance, privacy, and federated learning.

  • Analyze how generative AI improves blockchain through smart contracts, dApps, digital assets, and network optimization.

  • Evaluate combined AI-blockchain applications across media, real estate, gaming, risk, and supply chains.

Details to know

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Recently updated!

October 2026

Assessments

4 assignments

Taught in English

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This course is part of the Generative AI and Web3 for Business Leaders Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate

There are 4 modules in this course

In this module, you’ll explore how blockchain can strengthen generative AI by improving trust, transparency, and accountability in AI systems. You’ll examine five key ways blockchain supports generative AI, including improving data integrity and provenance, enabling federated learning, protecting privacy through smart contracts, increasing transparency in AI decision-making, and giving individuals greater control over data ownership and monetization. Through real-world examples, you’ll see how these capabilities can make AI systems more reliable, secure, and trustworthy.

What's included

2 videos1 reading1 assignment

In this module, you’ll examine how generative AI can strengthen blockchain systems and improve how users interact with decentralized applications. You’ll explore five key ways generative AI enhances blockchain, including improving data integrity, supporting smart contract creation, enabling personalized dApp experiences, powering dynamic digital assets such as NFTs, and optimizing blockchain network performance. By the end of the module, you’ll be able to analyze how generative AI expands the capabilities, usability, and efficiency of blockchain networks and applications.

What's included

1 video1 reading1 assignment

In this module, you’ll explore how blockchain and generative AI can work together to transform industries by combining trusted infrastructure with intelligent automation. You’ll examine examples from arts and media, real estate, gaming, risk assessment, and supply chain management to see how these technologies can improve transparency, streamline processes, strengthen trust, and create new forms of value. By the end of the module, you’ll be able to describe how the combined use of blockchain and generative AI can enable more efficient, secure, and user-centered industry applications.

What's included

1 video1 reading1 assignment

In this module, you’ll review the key concepts covered in this module, including how blockchain can improve generative AI, how generative AI can enhance blockchain systems, and how these technologies can work together to transform industries such as arts and media, real estate, gaming, risk assessment, and supply chain management. The graded assignment will evaluate your understanding of these concepts and your ability to apply them to practical use cases involving generative AI and blockchain.

What's included

1 video1 assignment

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Instructors

Douglas Heintzman
INSEAD
2 Courses4,132 learners

Offered by

INSEAD

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