Overview
Examine how GenAI systems expand the attack surface across models, data, and tools, Use an end to end AI security architecture to map protections onto each subsystem, Develop comprehensive threat scenarios for LLM based applications and choose fitting safeguards, Deploy guardrail frameworks and policy engines to control user inputs and model outputs, Integrate security gates into AI delivery processes, covering data validation and model assessments, Set up authentication flows, permission boundaries, and controlled tool capabilities for AI services, Apply data protection practices to RAG pipelines, including filtering, encryption, and structured access, Operate AI SPM solutions to track assets, detect misconfigurations, and monitor system drift, Build monitoring pipelines that capture queries, responses, tool usage, and evaluation metrics, Design a full AI security control map and plan actionable rollout steps for organizational adoption
Professionals building or maintaining applications enhanced with generative AI, ML specialists working with embeddings, retrievers, and model endpoints, Architects responsible for structuring secure AI and data pipelines, Security teams evaluating risks in AI powered systems, Leaders and practitioners managing AI adoption, governance, and operational safety
Basic understanding of software development or IT systems, Familiarity with AI concepts such as LLMs or RAG is helpful but not required, General knowledge of cybersecurity principles is beneficial, Ability to read technical diagrams and system architectures, No prior experience with AI security tools or frameworks needed
AI systems introduce security challenges that are fundamentally different from anything traditional cybersecurity was built to handle. LLM applications, retrieval pipelines, vector databases, and agent based automations create new vulnerabilities that can expose sensitive data, enable unauthorized actions, and compromise entire workflows. This course gives you a complete and practical framework for securing GenAI systems in real engineering environments.
You will learn how modern AI threats operate, how attackers exploit prompts, tools, and connectors, and how data can leak through embeddings, retrieval layers, or model outputs. The course walks you through every layer of the AI stack and shows you how to apply the right defenses at the right places, using a structured and repeatable security approach.
What you will learn
The full AI Security Reference Architecture across model, prompt, data, tools, and monitoring layers
How GenAI attacks work, including injection, leakage, misuse, and unsafe tool execution
How to use AI firewalls, filtering engines, and policy controls for runtime protection
AI SDLC best practices for dataset security, evaluations, red teaming, and version management
Data governance strategies for RAG pipelines, ACLs, encryption, filtering, and secure embeddings
Identity and access patterns that protect AI endpoints and tool integrations
AI Security Posture Management for risk scoring, drift detection, and policy enforcement
Observability and evaluation workflows that track model behavior and reliability
What is included
Architecture diagrams and control maps
Model and RAG threat modeling worksheets
Governance templates and security policies
Checklists for AI SDLC, RAG security, and data protection
Evaluation and firewall comparison frameworks
A complete AI security control stack
A step by step 30, 60, 90 day rollout plan for teams
Why this course is essential
It focuses on practical security for real AI deployments
It covers every critical layer of modern LLM and RAG systems
It delivers ready to use tools and artifacts, not theory
It prepares you for one of the fastest growing and most demanded areas in tech
If you need a structured and actionable guide to protecting AI systems from modern threats, this course provides everything required to secure, govern, and operate GenAI at scale with confidence.
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!