• When and where to use AI as part of your Blockchain SDLC project

What you'll learn
✓ Use of AI in the Software Development Life cycle
✓ Use of AI for testing and security in a blockchain environment
✓ Constraints of AI use in Blockchain Projects
✓ When AI should be used and is of benefit to the Developer

Requirements
● Prior experience in blockchain development and smart contract development is required. Familiarity with AI development is important

Description
This intermediate-level course is designed for blockchain developers who want to use artificial intelligence responsibly and effectively in real-world smart contract and decentralized system development. It focuses on how AI can support blockchain engineering across design, security, testing, and review workflows without replacing human judgment or accountability.

Unlike beginner AI or blockchain courses, this course assumes prior experience with smart contracts, decentralized architectures, and blockchain system fundamentals. The emphasis is not on prompt engineering or tool-specific tutorials, but on engineering decision-making in immutable, adversarial, and economically sensitive environments.

Students learn where AI tools provide meaningful leverage for blockchain developers, including code analysis, threat modeling, test generation, security reviews, documentation, and reasoning support. Equal attention is given to where AI introduces risk, including hallucinated correctness, hidden assumptions, unsafe code generation, overconfidence in automated analysis, and the temptation to outsource responsibility to tools that cannot be held accountable.

A central theme of the course is maintaining human control. You will learn how to design development workflows where AI assists but never approves, deploys, or owns outcomes. The course teaches practical guardrails for using AI safely in blockchain development, ensuring that correctness, security, and system behavior remain the responsibility of humans.

The course also explores modern realities of blockchain security, including AI-assisted attackers, economic exploits, payment rail abuse, stablecoin risk, and how AI changes both offensive and defensive dynamics. Students are trained to think like engineers operating in hostile environments, rather than to build demos or prototypes.

This course is ideal for blockchain developers, smart contract engineers, security-minded developers, and technical professionals who want to integrate AI into their blockchain workflows without compromising safety, security, or engineering discipline.