Cybersecurity Foundations II

Cybersecurity Foundations II

Delve into complex areas of cybersecurity, including penetration testing, security architecture, and incident response

Financing and flexible payment options available. Learn more

Upcoming Course Start Dates

New courses start the first Monday of every month.

July 7, 2025
August 4, 2025
September 1, 2025

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‍Master advanced cybersecurity techniques

‍Delve into the more intricate aspects of cybersecurity with courses on penetration testing, security architecture, and incident response

You’ll gain expertise in identifying and exploiting system vulnerabilities, designing secure network architectures, and responding to cyber incidents with best practices in digital forensics and incident response. These courses will also cover advanced topics like API security and mobile device security fundamentals, preparing you to reduce an organization's cyber-attack surface area. By the end of these courses, you’ll be ready to lead in cybersecurity, equipped with the skills to protect digital infrastructures from even the most complex cyber-attacks.

The U of U // Flatiron School difference

Become familiar with industry essentials and best practices

Learn to configure virtual machines with no prior knowledge

Gain confidence using industry-standard languages Python

Be mentored by a world-class cybersecurity expert

Small group classes (max 5 students)

Program prerequisites: Cybersecurity Essentials, Cybersecurity Foundations I

Curriculum

Industry-approved curriculum to support your journey into cybersecurity

Security Architecture and Frameworks - 3 weeks

This course covers secure architecture fundamentals, frameworks, and the consequences of insecure design. You'll learn to assess system vulnerabilities, understand secure network architecture, and explore zero-trust concepts, network segmentation, and cloud security. The course concludes with a project where you'll identify vulnerabilities using your knowledge of IT architecture and security.

What you'll learn:

  • Integrate knowledge of security architecture to identify vulnerabilities that are discovered
  • Identify mitigation strategies to protect against future attacks

Incidence Response - 3 weeks

This course covers digital forensics, including malware recognition and evaluation, Python skills for API security, and memory forensics for Windows and Linux. It concludes with a project where you'll use these skills to respond to a cybersecurity incident.

What you'll learn:

  • Identify mitigation strategies to protect against future attacks
  • Conduct an investigation to an incident using best practices of digital forensics and incident response
  • Implement best practices for API security for organization security

Penetration Testing - 3 weeks

This comprehensive course teaches you to ethically exploit vulnerabilities and identify security weaknesses. You'll learn social engineering, reconnaissance, scanning, enumeration, and post-exploitation strategies. Gain hands-on experience with tools like Burp Suite and Metasploit, and apply your skills in a real-world penetration testing project.

What you'll learn:

  • Develop and log corrective action methodology to a system vulnerability using industry standard techniques
  • Implement knowledge of nmap for penetration testing

Penetration Testing Applications - 3 weeks

This course covers web application security, including common threats, secure coding, and penetration testing with industry tools. You'll master Active Directory attack methods, mitigation strategies, and credential dumping, and learn OT security best practices and emerging trends like AI and quantum cryptography. It also addresses mobile device security, including vulnerability identification, configuration, and scripting for automated scans. The course concludes with a web application security penetration testing project.

What you'll learn:

  • Develop and log corrective action methodology to a system vulnerability using industry standard techniques
  • Implement a methodology for building secure mobile architecture

Tuition

Upfront - Save 9%

$4,700

Pay as You Go

$5,200

3 monthly payments of $1,733

FAQs

Can I study part-time while keeping my current job?

Yes. The AI & Data Science Certificate (Part-Time) is designed exactly for this. At 20 hours per week over 15 months, you can stay fully employed while building AI fluency at a sustainable pace. It’s built for working professionals who want to upskill into AI and add technical depth to an existing career without stepping away from their current role.

How does the apprenticeship work in work-integrated programs?

Flatiron facilitates the employer match. You’ll work approximately 20 hours per week in a production-aligned environment alongside your coursework. Apprenticeships are paid and supervised by a workplace supervisor.

How do I know if I qualify for the Accelerated track?

If you have production coding experience – frontend, backend, or full-stack, and you feel the pressure of AI reshaping what it means to be a strong engineer, you likely qualify. This isn’t a beginner course; it’s a rigorous upskilling path for engineers who don’t want to lose momentum. Speak with an Admissions rep to confirm. If you don’t have that background, the Work-Integrated: AI Engineering Immersive is the right work-integrated option for you.

Do I need prior experience to apply?

Most programs have no prerequisites. You just need to be 18+, have a high school diploma or equivalent, and have English proficiency. Whether you’re a recent grad, someone transitioning from a non-technical field, or a working professional looking to pivot, you’re eligible. The one exception is the Accelerated AI Engineering Immersive, which requires existing software engineering experience (midlevel or higher) because it’s built for engineers who are already in production environments.

What’s the difference between a certificate program and a work-integrated program?

Certificate programs are purely educational. You learn, build a portfolio, and graduate ready for the job search. If you’re entering the workforce or transitioning from a non-technical field and want a clear, structured path, this is for you. Work-integrated programs combine coursework with a paid apprenticeship, so you gain work experience and income during the program. This is a strong fit for professionals who need income continuity during a pivot, or experienced engineers who want production AI exposure from day one. Both award the same professional certificate upon completion.

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