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Educational Program. Digital Shield: Deep-Tech Strategies for Cyber Threat Prevention

Master cutting-edge cybersecurity strategies tailored for academia. Learn to defend against AI-based threats, advanced malware, and social engineering targeting research data and institutional systems. Build practical skills through real case studies and join a collaborative defense community.

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Course Description

Digital Shield: Deep-Tech Strategies for Cyber Threat Prevention

Transform your digital safety awareness with cutting-edge cybersecurity education designed specifically for academic communities.

Purpose and Audience

“Digital Shield” addresses the critical gap in cybersecurity knowledge within academic institutions, where cybercriminals increasingly target valuable research data, personal information, and financial resources. This program is tailored for researchers, students, and university administrators who handle sensitive information daily but may lack formal cybersecurity training. Whether you’re protecting groundbreaking research or safeguarding student records, this course provides essential skills for your digital defense.

Learning Outcomes

Participants will develop three core competencies through this program. First, you’ll gain comprehensive knowledge of modern cyber threats, including advanced malware, artificial intelligence (AI)-based deepfakes, and sophisticated social engineering tactics. Second, you’ll master practical skills for identifying phishing attempts, implementing security measures, and responding to incidents effectively. Third, you’ll cultivate a security-conscious mindset that balances academic collaboration with digital vigilance, understanding your role in collective institutional defense.

Deep Tech Focus and Syllabus

The program comprises four specialized modules examining cutting-edge cybersecurity challenges. Module 1 explores malware technologies, including ransomware, spyware, and keyloggers. Module 2 delves into psychological manipulation tactics like phishing and social engineering. Module 3 addresses infrastructure threats, including the exploitation of Open Source Intelligence (OSINT) and AI-generated deepfakes. Module 4 tackles online fraud schemes targeting academic communities. Each module integrates real-world case studies from educational institutions, demonstrating how deep tech threats manifest in academic settings.

Teaching Methodology and Assessment

Learning occurs through an innovative blend of AI-guided instruction, interactive exercises, and community collaboration. Each module features theoretical foundations followed by practical applications, real-world case studies, and gamified assessments, including crossword puzzles and quizzes. The Digital Shield Community forum enables peer learning and ongoing threat awareness. Successful completion of all modules and assessments earns a Digital Badge.

Once the participants successfully finish the course, they can download the Digital Badge at:

https://bit.ly/digital-shield-badge

Course details

Deep tech fields

Cybersecurity & Data Protection

Course language

English

Fee

Free course

Duration (hours)

60

Certificate provided

Yes

Skills addressed

Cybersecurity; Apply cybersecurity measures; Identify security threats; Implement ICT security policies

Course format

Online

Target group

Undergraduate-level learners, Postgraduate-level learners, Professional development learners, Life-long learners

Quality check

Approved

Dates

Starts:

Continuously open

Ends:

Application deadline:

Continuously open

Course provider

Jan Dlugosz University in Czestochowa

Background Established in 1971 as the Higher Teacher Education School, it has evolved significantly over the decades. In 2004, it was renamed Jan Dlugosz Academy. As of June 1, 2023, it operates u..

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Ready to take the next step in your journey? Apply now and embark on a transformative learning experience. Whether you’re pursuing a passion or advancing your career, we’re here to help you succeed. Don’t wait any longer – seize the opportunity and apply today!

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