Overview
Analyze the unique attack surface of GenAI systems and see how LLMs and RAG apps are exploited, Use a structured AI security architecture to plan protections across all layers of an AI solution, Build complete threat models for AI workloads and connect identified risks with practical defenses, Deploy AI gateways and guardrail engines to filter inputs, outputs, and tool executions, Integrate security into every AI development stage, including data sourcing, evaluations, and safety reviews, Set up strong authentication, scoped permissions, and regulated tool access for AI components, Govern sensitive data in RAG pipelines with structured policies, metadata rules, and controlled retrieval flows, Operate AI SPM tools to track models, datasets, connectors, and detect risk or drift over time, Implement logging, telemetry, and evaluation pipelines to observe how AI behaves in production, Construct a complete AI security control stack and define an actionable plan for short and long term adoption
Engineers and developers creating applications powered by LLMs, ML practitioners and data specialists working with model pipelines, Solution architects defining AI system structures and security controls, Cybersecurity and DevSecOps teams overseeing AI deployments, Technical leaders aiming to manage AI risk and governance in their organizations
General experience with IT, software, or engineering environments, Helpful but optional familiarity with AI workflows or retrieval systems, Basic awareness of cybersecurity ideas like access control or data protection, Ability to follow technical explanations and architectural breakdowns, No prior hands on work with AI security platforms or evaluations needed
AI systems introduce risks that traditional security cannot handle. LLM powered applications, retrieval pipelines, agents, vector databases, and tool integrations open new vulnerabilities that organizations struggle to understand and control. This course gives you a complete, practical, end to end framework for securing real GenAI workloads in production environments.
You will learn how modern AI attacks actually work, how to map threats across every layer of an LLM or RAG system, and how to implement controls that prevent data leakage, prompt manipulation, unsafe tool execution, and misconfigured connectors. The course is fully aligned with the way enterprises deploy and operate AI today, combining architecture, security engineering, data governance, and monitoring into one unified approach.
What this course covers
A full breakdown of the AI Security Reference Architecture
Real world GenAI threats: prompt injection, data exposure, model exploitation
AI firewalls, guardrails, filtering engines, and safe tool permission models
AI SDLC practices: provenance, evaluations, red teaming, versioning
Data governance for RAG pipelines: ACLs, filtering, encryption, secure embeddings
Identity and access patterns for AI endpoints and tool integrations
AI Security Posture Management: asset inventory, risk scoring, drift detection
Observability, telemetry, and evaluation workflows for production AI
What you receive
Architecture diagrams
Threat modeling templates
Security and governance policies
AI SDLC and RAG security checklists
Evaluation and firewall comparison matrices
A complete AI security control stack
Practical rollout plan for the first 30, 60, and 90 days
Why this course matters
It is practical, not theoretical
It focuses on real AI attack surfaces, not generic cybersecurity
It gives you the frameworks, controls, and artifacts needed to secure enterprise AI
It prepares you for the growing demand for engineers who understand AI security at depth
If you need a focused, well structured, and actionable guide to securing modern AI systems, this course gives you everything required to build, defend, and operate safe and reliable GenAI applications from day one.
Andrii Piatakha
Andrii Piatakha is a highly experienced educator, entrepreneur, project manager and software engineer with over 10 years of teaching experience and a proven track record of empowering students worldwide to achieve their goals in IT. As the Founder and CEO of IT-Bulls, Andrii has dedicated his career to promoting engineering excellence and shaping the next generation of IT professionals.
=== What Sets Andrii Apart? ===
Unparalleled Expertise
Andrii's career spans over a decade, during which he has mentored thousands of students and professionals. His hands-on experience as a software engineer and business leader allows him to deliver courses that are both practical and impactful. Andrii specializes in teaching Java, software architecture, cybersecurity, project management, web and application development, and more.
Transformative Education
Through his highly popular course “Java from Zero to First Job”, Andrii has helped countless individuals with no prior programming experience secure their first jobs in IT. This course is renowned for its structured approach, real-world projects, and ability to prepare students for success in the shortest possible time.
Innovator and Visionary
As the creator of Learn-IT Online University and its accompanying mobile app, Andrii has designed platforms that simplify the certification process in various IT domains, providing students with a seamless learning experience.
Personalized Learning Approach
Andrii's teaching focuses on the essential skills needed for career success. With a deep understanding of the challenges students face, he provides detailed homework assignments, real-world projects, and personalized guidance to ensure every learner achieves their full potential.
Global Recognition
Over 1,000+ professionals, including software engineers, managers, and architects, have endorsed Andrii's expertise on LinkedIn. His reputation for excellence is further demonstrated by the numerous success stories of students who have transitioned into leading roles in IT companies worldwide.
A Trusted Mentor and Leader
IT-Bulls, Andrii’s consultancy company, not only upholds the highest standards in engineering but also creates opportunities for students to gain practical, hands-on experience by working on real-world applications. Many of Andrii’s students have joined IT-Bulls as interns and grown into top-performing engineers within the company.
A Proven Track Record of Success
Every course Andrii creates is built on a foundation of practical knowledge, industry expertise, and student success stories. His unique ability to simplify complex topics and focus on what truly matters has earned him a loyal global following.
=== Why Choose Andrii? ===
Real-World Experience: Andrii combines his engineering expertise with his entrepreneurial spirit to deliver courses that reflect real-world challenges and solutions.
Student-Centric Approach: His teaching goes beyond theory, equipping students with the skills they need to excel in their careers.
A Community of Success: Join a thriving community of students and professionals who have transformed their lives with Andrii’s guidance.
=== Get Started Today ===
Take the first step toward a brighter future with Andrii’s courses on Udemy. Explore his LinkedIn profile for more insights into his career and achievements, and follow him on Instagram for updates, tips, and inspiration.
Transform your potential into reality with Andrii Piatakha – your partner in success!