Overview What You Will Learn Curriculum Instructor

Course Overview

Web 3.0, AI, and quantum computing are shaping the future, but Web 3.0 stands out for its decentralized, user-centric approach. Unlike Web 2.0’s centralized security models, Web 3.0 aims for transparency and security, making it essential in today’s digital world. 

This course begins with an in-depth exploration of the limitations of centralized Web 2.0 and the need for a more decentralized web. It delves into the evolution of blockchain technology, its role in Web 3.0, and its potential impact on society. You will also examine the advancements in artificial intelligence, including the dominance of industry labs in AI research and the reliance on GPU-driven deep learning models. Additionally, the course provides insights into quantum computing—its potential, current limitations, and implications for classical computing. Through this journey, you will gain a solid understanding of how Web 3.0 differs from its predecessors and why its growth is crucial. 

By the end, you'll grasp Web 3.0’s principles, real-world impact, and market potential while understanding AI, quantum computing, and their role in decentralization. 

What You Will Learn

  • Understand the evolution from Web 2.0 to Web 3.0 and its decentralized principles.
  • Explore blockchain technology and its impact on security, transparency, and digital ecosystems.
  • Analyze AI advancements, industry dominance, and deep learning dependencies.
  • Gain insights into quantum computing’s potential and its relevance to classical computing.
  • Learn how Web 3.0, AI, and quantum computing intersect in shaping the future.

Program Curriculum

  • Objectives & Rational
  • Setting up our Environment
  • Introduction to Fuzzing
  • Chapter 1 Quiz

  • Foundations of Web 3.0: Blockchain, Ethereum, and Smart Contracts
  • Chapter 2 Quiz

  • Securing Smart Contracts: Testing, Vulnerabilities, and Auditing
  • Chapter 3 Quiz

  • AI and Smart Contract Security: Understanding LLMs and Their Applications
  • Real-world Smart Contract Auditing: Case Studies and Insights
  • Chapter 4 Quiz

  • Building Your Own Fuzzer: From Development to Analysis
  • Chapter 5 Quiz

  • Wrap-up & Key Takeaways
Load more modules

Instructor

Tolga Topal

Tolga Topal has a background in information security. He works as an Offensive Security Specialist consultant, Machine Learning consultant, Cyber Security Expert for the public service, and Security Specialist/Red teamer for SWIFT. Academically speaking, he obtained a Bachelor’s degree (BSc.) in computer systems and networks, a Master’s degree(MSc.) in Artificial Intelligence and Deep Learning. Some of his academic work can be found online. Among these was his master’s thesis, where he studied the computing primitive commonly called the Transformer neural architecture and its application to computer vision. Additionally, he likes to combine these different fields and make computational art. Furthermore, he successfully sat/took 90+ certifications and courses mainly through massive open online courses(MOOCs), some of which can be consulted on his LinkedIn profile. Among others and pertaining to this course, he is a certified Exploit Developer (eCXD), certified Professional Penetration Tester (eCPPT), and certified Network Defense Professional (eNDP).

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