AI Security & Risk Management

Overview

The AI Security & Risk Management course is a comprehensive 12-week program designed to teach participants how to secure AI systems, address emerging threats in AI applications, and implement effective risk management frameworks. This course provides foundational understanding of AI security principles and dives deep into the unique challenges posed by AI systems, equipping students with the tools and knowledge to manage AI-related risks in real-world scenarios.

The curriculum combines practical labs, interactive discussions, and a capstone project to ensure students gain actionable, job-ready skills in this rapidly growing cybersecurity specialization.

After Your Course You Will Be Able To:

Understand foundational cybersecurity concepts and AI-specific vulnerabilities.
Mitigate adversarial threats to AI systems and ensure robust defenses.
Implement AI governance frameworks and manage risks effectively.
Apply ethical principles to AI system design and deployment.
Ensure compliance with data privacy laws in AI workflows.
Pursue AI-focused cybersecurity and governance roles with confidence.

Time Commitment

Duration:
12 weeks
Schedule:
Wednesdays, 6:00 PM – 8:00 PM CST
Optional:
Effort:
8–12 hours per week, including live sessions, assignments, and independent study.

Prerequisites

No prior experience in cybersecurity or AI is required. Foundational concepts are built into the course. Basic understanding of IT systems is helpful but not mandatory.

Program Format

Format:
Live online sessions recorded for later access.
Interactive Learning:
Weekly live classes, hands-on labs, group discussions, and capstone projects.
Live Classes:
Resources:
On-demand materials and templates available via the LMS.
On-Demand Access:
Interactive Activities:
Attendance Requirement:
Community

Course Timeline

Weeks 1-2: AI Security Fundamentals
AI/ML basics and security threat landscape overview
Common AI vulnerabilities: adversarial attacks, data poisoning, model theft
Weeks 5-6: Secure AI Development Practices
Secure coding practices for AI/ML applications
Real-world case studies of AI-specific attacks.
Data security, privacy protection, and secure model training
Weeks 7-8: AI Governance & Compliance
AI ethics frameworks and responsible AI principles
Regulatory compliance: GDPR, AI Act, and emerging AI regulations
Weeks 9-10: AI Security Operations & Monitoring
AI system monitoring, anomaly detection, and incident response
Security testing and validation of AI models in production

Technologies That You’ll Be Exposed To

TensorFlow
PyTorch
Python
Splunk
Qualys
Nessus
WireShark
ServiceNow
OneTrust
AuditBoard
Alteryx

After Your Course, You Can Pursue Roles Like

AI Security Analyst –
Assess AI systems for vulnerabilities and implement ML security controls.
AI Risk Manager –
Evaluate and mitigate risks in AI deployments and operations.
AI Governance Specialiist –
Develop AI ethics policies and compliance frameworks.
ML Security Engineer –
Secure machine learning pipelines from development to production.
AI Compliance Analyst –
Ensure AI systems meet regulatory and industry standards.

Frequently Asked Questions

1. What is AI for Cybersecurity?
AI for Cybersecurity focuses on securing AI systems, addressing their unique vulnerabilities, and leveraging AI to enhance cybersecurity capabilities.
2. Will this program prepare me for a job?
Yes, this program is designed to equip you with practical skills, certification preparation, and real-world project experience to confidently apply for AI-focused roles.
3. What if I miss a class?
All live sessions are recorded and uploaded to the LMS for review.
4. Do I need prior experience in cybersecurity or AI?
No, this course is designed for beginners and starts with foundational concepts.
5. What types of projects will I work on?
You’ll work on real-world projects, including a capstone focused on securing and governing an AI system.

Ready to Get Started?
Let’s Chat First.

Book a quick 15-minute call to get your questions answered and see if it’s a good fit—no pressure.
Schedule a 15-Min Call
Next Start Date
15th October 2025
40
DAYS
11
HOURS
10
MINUTES
08
SECONDS

Flexible Payment Options for Our Courses

We believe quality IT education should be accessible to everyone. That’s why our courses offer flexible payment options to fit your needs:

Pay in Full & Save More

Make a one-time payment and enjoy exclusive discounts for early enrollment.

Spread Your Payments with Ease

Enroll now and pay in manageable installments while you learn

Pay Over Time with Afterpay

Enroll now and split your course fee into interest-free payments using Afterpay—no hidden fees, no stress.

Learn the Way That Works for You

We believe quality IT education should be accessible to everyone. That’s why our courses offer flexible payment options to fit your needs

Feature

Format

Cohort Schedule

Live Instruction

Community Access

Resume + LinkedIn Review

Mock Interview

Interview & Job Search Support

Accountability

Certificate Issued

Best for

Live Full Course

12-week live cohort

Fixed start/end dates

Yes (weekly Zoom)

Included

1:1 support included

Included

Included (QuickApply Pro)

High (weekly check-ins)

Yes

Structured, high-touch learners

Self-Paced Format

Fully asynchronous

Start anytime

No

Included

Optional add-on

Optional upgrade

Optional (with add-on)

Low (self-driven)

Yes

Independent, flexible learners

Format

Cohort Schedule

Live Instruction

Community Access

Resume + LinkedIn Review

Mock Interview

Interview & Job Search Support

Accountability

Certificate Issued

Best for

10–12 week live cohort

Fixed start/end dates

Yes (weekly Zoom)

Included

1:1 support included

Included

Included (QuickApply Pro)

High (weekly check-ins)

Yes

Structured, high-touch learners

Format

Cohort Schedule

Live Instruction

Community Access

Resume + LinkedIn Review

Mock Interview

Interview & Job Search Support

Accountability

Certificate Issued

Best for

Fully asynchronous

Start anytime

No

Included

Optional add-on

Optional upgrade

Optional (with add-on)

Low (self-driven)

Yes

Independent, flexible learners

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