CompTIA SecAI+ (CY0-001) Cert Prep
With Mike Chapple and Frederick Nwanganga
Liked by 82 users
Duration: 6h 13m
Skill level: Intermediate
Released: 1/30/2026
Course details
Dive into the links between AI and cybersecurity as you prepare for the CompTIA SecAI+ (CY0-001) exam. Mike Chapple—a teaching professor of information technology, analytics, and operations—teaches foundational AI concepts related to cybersecurity, focusing on the history, terminology, and security responsibilities within the AI lifecycle. Delve into domain-specific knowledge, such as securing AI systems against attack vectors like data poisoning and improper model access. Explore AI-assisted security techniques and AI governance, risk, and compliance frameworks. Tackle practical skills, including threat detection, AI-enabled penetration testing, and automating core security tasks. Plus, prepare to earn a certification that validates your capability to protect AI-integrated systems effectively. This course is designed for IT professionals who are familiar with cybersecurity.
This course was created by Mike Chapple. We are pleased to host this training in our library.
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Meet the instructors
Learner reviews
4.4 out of 5
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5 star 64% -
4 star 24% -
3 star 0% -
2 star 8% -
1 star 4%
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Matt Hoadley, CISSP
Matt Hoadley, CISSP
Cybersecurity Engineer & Leader | Technical Instructor | MS InfoSec | U.S. Marine Corps Veteran
March 6, 2026As I mentioned before, this seems like a decent little course but to be frank, expecially compared to some of Cert Mike's other courses, this one seems quite brief. I mean, 6 hours to cover everything one needs to know for the SecAI+ certification doesn't exactly instill much confidence in me, especially considering that I just did the Cert Mike 20+ hour CISSP training course a few months ago. Also, why no practice exams, or even questions included in the training? Anyway, SecAI+ is a brand new certification and I know there isn't that much specific information directly related to the cert so I'll give them the benefit of the doubt. My final verdict: for what it is, it's a decent little course, especially if you have previous knowledge in the domain of AI/ML! -
Contents
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The AI lifecycle1m 39s
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Business alignment in the AI lifecycle1m 43s
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Data collection2m 20s
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Data preparation3m 15s
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Model development and selection2m 13s
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Model evaluation and validation2m 29s
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Model deployment and integration3m 25s
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Monitoring and maintenance3m 19s
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Manipulating application integrations4m 8s
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AI supply chain attacks2m 4s
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Insecure plug-in design2m 9s
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Insecure output handling1m 23s
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Output integrity attacks2m 8s
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Model denial of service1m 31s
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Excessive agency1m 33s
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Overreliance1m 34s
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AI hallucinations1m 4s
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Monitoring prompts and responses2m 51s
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Log monitoring4m 30s
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Rate and cost monitoring5m 1s
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Auditing for AI hallucinations3m 33s
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Auditing for accuracy3m 29s
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Auditing for bias and fairness4m 35s
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Auditing access and security compliance3m 48s
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Responsible AI5m 29s
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AI risks2m 23s
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Introduction of bias2m 37s
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Accidental data leakage2m 53s
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Reputational loss2m 11s
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Accuracy and performance of the model2m 22s
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Intellectual property risks3m 31s
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Autonomous systems2m 27s
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Shadow IT and shadow AI1m 48s
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Awareness training2m 21s
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What’s included
- Learn on the go Access on tablet and phone