Overview
Identify modern GenAI risks and understand how attackers target LLM and RAG pipelines, Apply a layered AI security design to strengthen every component of an AI application, Create detailed AI threat models and link each threat to concrete control measures, Configure AI firewalls and runtime guardrails to manage prompts, responses, and tool actions, Embed security practices into AI development workflows, including dataset checks and eval automation, Implement robust identity, authorization, and scoped access for AI endpoints and integrations, Enforce data governance for RAG systems through access rules, tagging, and secure retrieval patterns, Use SPM platforms to maintain visibility over models, datasets, connectors, and policy violations, Build observability pipelines to track prompts, responses, decisions, and model quality metrics, Assemble a unified AI security strategy and translate it into clear 30, 60, and 90 day actions
Developers integrating AI capabilities into existing or new products, Machine learning engineers maintaining model workflows and RAG systems, System and cloud architects designing secure AI infrastructures, Security analysts and DevSecOps teams responsible for safeguarding AI services, Team leads and decision makers who oversee AI initiatives and compliance requirements
Some background in tech, engineering, or system development, Optional exposure to machine learning concepts or LLM based tools, Basic understanding of common security practices is a plus, Ability to interpret high level architecture and process diagrams, No previous experience with specialized AI security solutions required
Modern AI applications introduce security challenges that traditional defenses cannot address. LLM based systems, retrieval pipelines, agents, data connectors, and vector databases expose new attack paths that organizations must understand and control. This course gives you a complete, practical, and engineering focused approach to securing GenAI systems across their entire lifecycle.
You will learn how attackers exploit AI models, how sensitive data leaks through prompts and outputs, how RAG pipelines can be manipulated, and how misconfigured tools or connectors expose entire environments. The course shows you how to design secure AI architectures, apply the right controls at the right layers, and build a repeatable security process for any AI powered system.
What this course includes
A detailed AI Security Reference Architecture for models, prompts, data, tools, and monitoring
Full coverage of GenAI threats: injection attacks, data leakage, model misuse, unsafe tools
Practical guardrail design using AI firewalls, filtering, and permissioning
AI SDLC guidance for dataset integrity, evaluations, red teaming, and version control
Data governance for RAG systems: access control, filtering logic, encryption, secure embeddings
Identity and authorization models for AI endpoints and tool integrations
AI Security Posture Management workflows for monitoring risk and drift
Observability pipelines for logging prompts, responses, decisions, and quality metrics
What you get
Architecture blueprints
Threat modeling templates
Governance and policy frameworks
Security checklists for AI SDLC and RAG
Evaluation and firewall comparison matrices
A full AI security control stack
A clear 30, 60, 90 day adoption roadmap
Why this course is valuable
It is built for real engineering and real enterprise environments
It covers the full AI ecosystem instead of focusing on a single control
It provides the exact artifacts professionals need to secure AI systems
It prepares you for one of the most in demand skill sets in modern tech
If you need a practical, structured, and comprehensive guide to securing LLM and RAG applications, this course gives you the tools, knowledge, and processes required to protect AI systems with confidence and to operate them safely at scale.
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!