This specialization is intended for computer scientists and engineers wishing to expand their technical expertise to the realm of Computing Security, with a broad skill-set and understanding of offensive Cybersecurity. Regardless of what area of Computing you may want to specialize in – from networking and systems to algorithms in machine learning and AI – a deep understanding of how the underlying technologies work, and how they can be abused, is essential to a robustly functioning, secure computing environment. One thing we have learned from the remarkable history of Computing is that staying ahead of attackers requires adopting the adversarial mindset. We aim to develop this mindset through a series of three courses, each exploring a different realm of technology. Throughout the series, expect an in-depth technical treatment with little reliance on pre-made tooling, as we seek to create exploits from scratch. By completing the specialization, you will have gained exposure to modern attacks on computer networks, web applications, binary programs, and cutting-edge areas of research in subverting AI systems.
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Spezialisierung für Security and Ethical Hacking
Enhance Your Computing Skills with Offsec. Explore offensive computing security from the ground up, expanding your career in computing.
Dozent: Ahmed M. Hamza
Bei 
enthalten
Empfohlene Erfahrung
Empfohlene Erfahrung
Was Sie lernen werden
Analyze and exploit weaknesses in system security (lateral movement, privilege escalation) bypassing mitigations and basic defenses.
Identify weaknesses in binary programs, web applications and agentic AI systems. You will also explore adversarial machine learning attacks.
Develop an adversarial mindset through exposure to a wide variety of offensive security topics in several areas of computing.
Überblick
Kompetenzen, die Sie erwerben
- Cryptographic Protocols
- Generative AI Agents
- Server Side
- Cyber Security Assessment
- Network Monitoring
- Network Security
- Network Protocols
- Cryptography
- Vulnerability Assessments
- Cybersecurity
- Machine Learning Algorithms
- Penetration Testing
- Security Awareness
- Exploitation techniques
- Computer Security
- Application Security
- Artificial Intelligence and Machine Learning (AI/ML)
Werkzeuge, die Sie lernen werden
Was ist inbegriffen?
Zu Ihrem LinkedIn-Profil hinzufügen
August 2025
Erweitern Sie Ihre Fachkenntnisse.
- Erlernen Sie gefragte Kompetenzen von Universitäten und Branchenexperten.
- Erlernen Sie ein Thema oder ein Tool mit echten Projekten.
- Entwickeln Sie ein fundiertes Verständnisse der Kernkonzepte.
- Erwerben Sie ein Karrierezertifikat von University of Colorado Boulder.
Spezialisierung - 3 Kursreihen
Was Sie lernen werden
Advanced evasive Techniques on hardened computer systems and networks.
Network recon and man-in-the-middle attacks to compromise credentials
Network attacks on HTTPS and firewalled systems
Kompetenzen, die Sie erwerben
Was Sie lernen werden
Conduct basic and advanced attacks on Unix systems.
Leverage programming and scripting for privilege escalation and lateral movement in computer networks.
Discover, debug and exploit binary vulnerabilities on modern operating systems.
Advanced Offensive Techniques on hardened computer systems and networks.
Kompetenzen, die Sie erwerben
Was Sie lernen werden
Perform and prevent web application attacks and knowledge of defensive techniques.
Understand AI/ML platform and model attacks as an extension of web attacks.
Describe the range of attacks on artificial intelligence algorithms and systems (adversarial machine learning).
Kompetenzen, die Sie erwerben
Erwerben Sie ein Karrierezertifikat.
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Dozent
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Häufig gestellte Fragen
Basic programming and computer organization. Knowledge of Python is assumed. C and ASM basics recommended (ASM is briefly covered).
It is recommended that learners take the courses in this Specialization in sequential order.
Security and Ethical Hacking is part of CU Boulder's Master of Science in Computer Science (MS-CS). Learners enrolled in the degree program will earn three credits for successful completion of the specialization.
Weitere Fragen
Finanzielle Unterstützung verfügbar,