AI in Cybersecurity: Must Know Essentials
Defend Next-Gen AI Systems with Practical Cybersecurity Strategies and Tools

AI in Cybersecurity: Must Know Essentials udemy course free download
Defend Next-Gen AI Systems with Practical Cybersecurity Strategies and Tools
Unlock the power of artificial intelligence in cybersecurity — and learn how to secure it. As AI and generative AI reshape our world, cyber professionals face evolving challenges in protecting these systems from adversarial threats. This course gives you the essential, practical skills to defend AI-driven technologies and strengthen your cybersecurity career.
Inside this comprehensive program, you will:
Understand the fundamentals of artificial intelligence and machine learning in cybersecurity
Explore real-world use cases for AI, including threat detection, automated response, and anomaly detection
Identify unique attack surfaces and vulnerabilities in GenAI pipelines and large language models (LLMs)
Master AI-driven security tools for malware classification, phishing detection, and threat intelligence
Apply Zero Trust principles and identity access management to safeguard AI systems
Implement governance, risk, and compliance strategies for responsible and ethical AI
Secure the entire AI lifecycle, from training data to production deployment
Build a roadmap for operationalizing AI security within enterprise environments
By the end of this course, you’ll be prepared to design, evaluate, and protect advanced AI and GenAI systems, positioning yourself at the forefront of a rapidly growing field. Whether you’re a cybersecurity analyst, AI engineer, IT manager, or compliance officer, this training will empower you to stay ahead of the curve and defend against today’s — and tomorrow’s — threats.
What you’ll learn
The role of AI and ML in modern cybersecurity
Emerging GenAI threat vectors and how to mitigate them
Securing AI pipelines, APIs, and endpoints
Leveraging AI-powered platforms for threat intelligence and detection
Applying secure practices for AI model governance, drift detection, and rollback
Building Zero Trust Architecture for AI systems
Managing compliance, fairness, and responsible AI practices
Creating an actionable enterprise AI security roadmap
Who this course is for
cybersecurity analysts, security engineers, AI developers, machine learning engineers, IT managers, compliance officers, risk managers, enterprise architects, security consultants
Requirements
Basic understanding of cybersecurity principles
Familiarity with IT systems and terminology (helpful, but not mandatory)