AI in Cybersecurity: Must Know Essentials

Defend Next-Gen AI Systems with Practical Cybersecurity Strategies and Tools

AI in Cybersecurity: Must Know Essentials

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)