- Promoted by: Anonymous
- Platform: Udemy
- Category: Network & Security
- Language: English
- Instructor: Andrii Piatakha
- Duration: 6 hour(s)
- Student(s): 1,002
- Rate 0 Of 5 From 0 Votes
- Expires on: 2025/12/01
-
Price:
44.999.99
Learn to identify, analyze, and mitigate GenAI threats using modern security playbooks
Unlock your potential with a coupon code
for the "AI Cybersecurity Solutions: Overview of Applied AI Security" course by Andrii Piatakha on Udemy.
This course, boasting a 0.0-star rating from 0 reviews
and with 1,002 enrolled students, provides comprehensive training in Network & Security.
Spanning approximately
6 hour(s)
, this course is delivered in English
and we updated the information on November 30, 2025.
To get your free access, find the coupon code at the end of this article. Happy learning!
AI security is no longer optional. Modern LLMs, RAG pipelines, agents, vector databases, and AI powered tools introduce entirely new attack surfaces that traditional cybersecurity does not cover. Organizations face prompt injection, data leakage, model exploitation, unsafe tool calls, drift, misconfiguration, and unreliable governance.
This course gives you a complete, practical, architecture driven guide to securing real GenAI systems end to end. No fluff, no theory for theory’s sake. Only actionable engineering practices, proven controls, and real world templates.
What this course delivers
A full AI security blueprint, including:
AI Security Reference Architecture for model, prompt, data, tools, and monitoring layers
The complete GenAI threat landscape and how attacks actually work
AI firewalls, runtime guardrails, policy engines, and safe tool execution
AI SDLC workflows: dataset security, red teaming, evals, versioning
RAG data governance: ACLs, filtering, encryption, secure embeddings
Access control and identity for AI endpoints and tool integrations
AI SPM: asset inventory, drift detection, policy violations, risk scoring
Observability and evaluation pipelines for behavior, quality, and safety
What you gain
You get practical, ready to use artifacts, including:
Reference architectures
Threat modeling worksheets
Security and governance templates
RAG and AI SDLC checklists
Firewall evaluation matrix
End to end security control stack
A 30, 60, 90 day implementation roadmap
Why this course stands out
Focused entirely on real engineering and real security controls
Covers the full AI stack, not just prompts or firewalls
Gives you tools used by enterprises adopting GenAI today
Helps you build expertise that is rare, in demand, and highly valued
If you want a structured, practical, and complete guide to securing LLMs and RAG systems, this course gives you everything you need to design defenses, implement controls, and operate AI safely in production. This is the roadmap professionals use when they need to secure real AI systems the right way.