College Credit: Cybersecurity
Treehouse has partnered with University Pathways International (UPI) to bring you an exciting opportunity to dive into the world of cybersecurity and earn 3 college credits along the way! This Cybersecurity college credit course is designed for both beginners looking to build a strong foundation in cybersecurity principles and experienced learners seeking to formalize their knowledge with academic credit. Learn how to protect digital assets, assess cyber threats, and explore ethical hacking—all while earning transferable college credits.
What You'll Learn
Through this college credit course, you’ll develop essential cybersecurity skills that will prepare you to navigate today’s digital threats. Here’s what you can expect to learn:
- Fundamental cybersecurity concepts, including threat detection, risk management, and defensive strategies.
- Core security principles, such as encryption, network security, and access control.
- Ethical hacking techniques, vulnerability assessments, and best practices for securing critical infrastructure.
- Cybersecurity regulations and policies, including global security standards and compliance requirements.
How to Earn College Credits
Follow these simple steps to start earning credits with the Cybersecurity course:
- Choose a UPI college credit course to get started, then work through the lessons remotely, at your own pace — you determine your own level of time commitment.
- Take the final exam. Didn’t pass? Take the exam again at no charge.
- Once you pass the final exam, pay a $35 transcript fee directly to UPI to get access to a final project assignment.
- Once the assignment has been graded by UPI, receive a digital badge and transcript via Credly.
- From your Credly Dashboard, send your digital transcript to the schools of your choice.
Flexibility for Advanced Learners
Already have experience in cybersecurity? You can skip directly to the final exam—no need to complete the lessons. This allows you to fast-track your progress and focus on earning your college credits.
Why Take This Course?
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Earn College Credit:
Gain 3 college credits that are transferable to many academic institutions.
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Develop Critical Cybersecurity Skills:
Learn how to identify and mitigate cyber threats, secure systems, and understand cybersecurity regulations. -
Affordable and Flexible:
Study at your own pace and pay only $35 for your transcript.
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Hands-On Learning:
Put your knowledge to the test with a final project that reinforces your skills.
Take the first step toward a career in cybersecurity today! With Treehouse and UPI Study, gaining essential cybersecurity skills and earning college credit has never been more accessible.
Ready to start learning?
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1 minInstruction
The College Credit Program at Treehouse
Learn more about our College Credit Program!...(continue reading)
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(UPI) Chapter 1: Basic Concepts and Models of Cybersecurity
Chapter 1 of the cybersecurity book introduces the foundational concepts and challenges of securing cyberspace, emphasizing the complexity of cybersecurity due to the diversity of interconnected systems and asymmetric threats from attackers. It explores key protection goals such as confidentiality, integrity, and availability, while highlighting the need for both proactive and reactive security measures to defend against evolving cyber threats​.
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(UPI) Chapter 2: Core Values and Value Conflicts in Cybersecurity
This chapter explores the fundamental ethical values in cybersecurity, including security, privacy, fairness, and accountability, and how they shape technical and institutional measures. The chapter also examines value conflicts, such as privacy versus security, highlighting the complexity of these tensions and proposing context-sensitive approaches to resolve them.
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(UPI) Chapter 3: Cybersecurity Regulation in the European Union
This chapter examines the evolution and challenges of cybersecurity regulation within the European Union, tracing how cybersecurity emerged as a distinct policy area through a patchwork of legislative measures and evolving definitions. It highlights the complexities of harmonizing policy and law, the constraints imposed by EU competences, and the ongoing debates over appropriate regulatory frameworks and liability standards to secure both digital infrastructures and fundamental EU values.
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(UPI) Chapter 4: Cybersecurity and the State
In this chapter, cybersecurity and the state are examined with a focus on how both EU-level and national strategies address the complex challenges posed by digital threats and the need for robust cybersecurity measures. In this chapter, the interplay between cybersecurity initiatives, data protection frameworks, and the tensions arising from balancing state security with individual privacy is analyzed alongside recommended realignment and solution approaches.
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(UPI) Chapter 5: Norms of Responsible State Behaviour in Cyberspace
In this chapter, we examine the evolving norms of responsible state behavior in cyberspace by analyzing national strategies, international diplomatic processes, and the contributions of diverse stakeholders. It discusses how major powers such as the US and the Sino-Russian bloc are formulating their cyber strategies, the role of UN GGE processes and regional security organizations in norm-building, and how non-state actors like the ICRC, civil society, and private companies are influencing the debate, while also outlining prospects for future cooperative frameworks.
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(UPI) Chapter 6: Types of Cybersecurity Threats
In this chapter, we cover a comprehensive analysis of cybersecurity threats by reviewing the literature on cyber-attack techniques, introducing an offensive cybersecurity framework, and proposing a systematic scoring model to quantify the complexity of both fileless and APT cyber-attacks. It explains how various attack elements—from encryption to network, web, malware, and system techniques—are mapped onto frameworks like the Cyber Kill Chain and MITRE ATT&CK, ultimately comparing the scores of different cyber-attack cases.
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(UPI) Chapter 7: Cybersecurity in Health Care
In this chapter, the discussion centers on the ethical, moral, and technical dimensions of cybersecurity in health care, emphasizing the interplay between moral principles, technical aims, and real-world case studies. It examines how foundational ethical frameworks like principlism can guide the design and evaluation of health care ICT systems while balancing conflicting values such as privacy, usability, and security.
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(UPI) Chapter 8: Cybersecurity of Critical Infrastructure
In this chapter, the analysis centers on the cybersecurity of critical infrastructure within the national security domain, examining both the ethical challenges and value conflicts that arise when protecting vital public services and systems from cyber threats. The chapter reviews relevant literature, presents frameworks for categorizing attacks, and discusses real-world case studies to illustrate the complex trade-offs between security and other societal values such as privacy, equity, and long-term stability.
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(UPI) Chapter 9: Ethical and Unethical Hacking
In this chapter, the discussion delves into the multifaceted world of hacking, examining both ethical and unethical practices while challenging simplistic media portrayals. It presents a historical overview of hackers, develops systematic taxonomies that differentiate hacker types based on expertise, values, and behavior, and critically analyzes what constitutes ethical hacking in diverse contexts.
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(UPI) Chapter 10: Cybersecurity and Cyber Warfare
In this chapter, the discussion explores the complex interplay between cybersecurity and cyber warfare, examining both the individual ethical dilemmas in the cyber domain and the broader implications of state-level conflicts. It delves into issues ranging from the challenges of governing a "lawless frontier" marked by universal diffidence and competitive self-interest, to the ethical tensions in international cyber relations, the risks inherent in the proliferation of IoT devices, and the internal contradictions of our collective cybersecurity practices.
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(UPI) Chapter 11: Cybersecurity and Society
In this chapter, the discussion examines the multifaceted impact of cybersecurity on society by focusing on how the spread of fake news, hate speech, and propaganda on social media undermines epistemic norms and democratic processes, while also considering the critical role of freedom of communication. It explores the challenges of defining and regulating misinformation and extremist content in the digital age, and outlines the need for robust epistemic institutions and redesigned tech platforms to combat political propaganda effectively.
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(UPI) Chapter 12: Threat Detection and Defense Techniques
In this chapter, the discussion centers on advanced threat detection and defense techniques for web applications, with an emphasis on integrating and benchmarking various security analysis tools. The chapter reviews existing research on static, dynamic, and interactive analysis tools (SAST, DAST, and IAST), proposes a novel methodology for combining these tools to enhance vulnerability detection while reducing false positives, and provides practical insights and rankings based on a comprehensive evaluation using the OWASP Benchmark project.
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(UPI) Chapter 13: Detecting Vulnerabilities in Critical Infrastructures
In this chapter, a comprehensive pipeline for detecting vulnerabilities in critical infrastructures is presented, focusing on the classification of SCADA images into IT and OT categories using deep learning. The study leverages transfer learning and fine-tuning on a custom dataset (CRINF-300) to evaluate multiple CNN architectures, comparing their performance in terms of accuracy, F1-score, and computational efficiency, and discusses experimental findings and future directions.
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(UPI) Chapter 14: Best Practices and Recommendations for Cybersecurity Service Providers
In this chapter, the discussion focuses on best practices and recommendations for cybersecurity service providers, highlighting the multifaceted policy domains they must navigate and the ethical dilemmas that arise from handling sensitive data, threat intelligence, vulnerability disclosure, and penetration testing. It emphasizes the need for robust, transparent policies and an ethical culture to balance commercial objectives with the broader public good.
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(UPI) Chapter 15: Cyber-Security Training and Continuous Adaptation of Programmes
In this chapter, the focus is on cybersecurity training and the continuous adaptation of training programs, emphasizing the need for dynamic, model-driven educational frameworks that integrate pedagogical best practices with security threat models. The chapter outlines a detailed methodology for designing, implementing, and assessing cybersecurity training—illustrated through a smart shipping use case—and demonstrates how platforms like THREAT-ARREST can tailor training to specific organizational needs while continuously monitoring and improving trainee performance.
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(UPI) Chapter 16: Emerging Technologies in Cybersecurity
In this chapter, emerging post-quantum cryptographic (PQC) technologies are explored with a focus on lattice and code-based schemes, detailing how Physical Unclonable Functions (PUFs) can be integrated to generate secure public–private key pairs for future PKIs. Experimental evaluations demonstrate that, with proper optimization (e.g., using AVX2 and GPU acceleration), PQC protocols like CRYSTALS-Dilithium and LightSABER can achieve performance competitive with current ECC-based systems, paving the way for secure key distribution in the quantum era.
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(UPI) Chapter 17: Blockchain Security Analysis
In this chapter, the discussion provides a comprehensive analysis of blockchain security by examining its origins, applications, and the various layers vulnerable to attacks. It also reviews the security threats, defense mechanisms, and current status of blockchain security protection, while highlighting the challenges for regulatory and supervisory frameworks in addressing decentralized, tamper-resistant systems.
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(UPI) Chapter 18: Machine Learning in Cybersecurity
In this chapter, machine learning techniques are applied to the cybersecurity domain with a focus on ransomware detection and classification, where a multi-tiered streaming analytics model leverages 24 static and dynamic traits to distinguish between various ransomware families and versions. Experimental evaluations demonstrate that the proposed hybrid machine learner outperforms state-of-the-art methods in accuracy, speed, and resource efficiency, addressing critical challenges such as family attribution, multi-descent fusion, and imbalanced datasets.
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(UPI) Chapter 19: AI in Cybersecurity
Chapter 19 explores how AI, particularly deep learning models like RNNs and CNNs, enhances malware detection by analyzing static and dynamic features, addressing the growing complexity of cyber threats with automated precision.
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120 minInstruction
Final Exam - Cybersecurity College Credit Course
100 Multiple Choice Exam for Cybersecurity...(continue reading)
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1 minInstruction
🎉 Congratulations on Completing the Final Exam!
Congratulations and next steps....(continue reading)
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Track Completion
This course includes:
- The College Credit Program at Treehouse 1 min
- (UPI) Chapter 1: Basic Concepts and Models of Cybersecurity 60 min
- (UPI) Chapter 2: Core Values and Value Conflicts in Cybersecurity 40 min
- (UPI) Chapter 3: Cybersecurity Regulation in the European Union 45 min
- (UPI) Chapter 4: Cybersecurity and the State 36 min
- (UPI) Chapter 5: Norms of Responsible State Behaviour in Cyberspace 36 min
- (UPI) Chapter 6: Types of Cybersecurity Threats 40 min
- (UPI) Chapter 7: Cybersecurity in Health Care 28 min
- (UPI) Chapter 8: Cybersecurity of Critical Infrastructure 34 min
- (UPI) Chapter 9: Ethical and Unethical Hacking 37 min
- (UPI) Chapter 10: Cybersecurity and Cyber Warfare 31 min
- (UPI) Chapter 11: Cybersecurity and Society 28 min
- (UPI) Chapter 12: Threat Detection and Defense Techniques 39 min
- (UPI) Chapter 13: Detecting Vulnerabilities in Critical Infrastructures 31 min
- (UPI) Chapter 14: Best Practices and Recommendations for Cybersecurity Service Providers 40 min
- (UPI) Chapter 15: Cyber-Security Training and Continuous Adaptation of Programmes 47 min
- (UPI) Chapter 16: Emerging Technologies in Cybersecurity 53 min
- (UPI) Chapter 17: Blockchain Security Analysis 38 min
- (UPI) Chapter 18: Machine Learning in Cybersecurity 43 min
- (UPI) Chapter 19: AI in Cybersecurity 32 min
- Final Exam - Cybersecurity College Credit Course 120 min
- 🎉 Congratulations on Completing the Final Exam! 1 min