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Detecting Cyber Threats with AI

Designed to provide cyber security analysts with the essential skills and knowledge needed to leverage AII techniques for identifying and mitigating cybersecurity threats.

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$999

AI & Cybersecurity Detecting Cyber Threats with AI (Foundation) – Duration: 4 hours

Why Choose This Course?

  • The Power of AI in Threat Intelligence

  • Natural Language Processing

  • Uncovering Hidden Patterns in Machine Learning

  • Protecting Against Emerging AI Threats

Detecting Cyber Threats with AI

This program is tailored for cybersecurity analysts with prior Python experience, providing them with the crucial expertise needed to identify and address cybersecurity threats using advanced AI techniques. The course will delve into the key principles of AI and its application in cybersecurity, covering key areas like data preprocessing, feature
engineering, and model selection.

Through this course, you will gain the skills to implement AI-powered solutions for detecting and analysing a range of cyber threats. This includes network intrusions, phishing attacks, malware infections, and more, empowering you to take a proactive approach in protecting vital systems and sensitive data.

 

Learning Outcomes

Hands-on learning

  • Apply AI-driven solutions to real-world cybersecurity challenges through interactive exercises and case studies.

 Comprehensive content

  • Master key concepts like threat intelligence, NLP, machine learning, and AI-driven defense strategies.

 Practical applications

  • Learn how to detect and analyse cyber threats such as phishing, malware, and network intrusions using AI.

Interactive & engaging format

  • Benefit from robust content, real-world examples, and practical exercises for an immersive learning experience.

Industry-recognized credential

  • Stand out in the job market with a certification that validates your AI expertise and enhances your career opportunities.

Course Outline

The Power of AI in Threat Intelligence

  • Explore AI methods for threat detection and evaluate their pros and cons in comparison to conventional approaches.
  • Highlight the opportunities and challenges presented by AI in the realm of threat intelligence.
  • Explore the ethical considerations involved in using AI technologies.

Natural Language Processing

  • How Natural Language Processing (NLP) can be applied to detect patterns within unstructured data.
  • Leverage methods like text analysis, named entity recognition, and part-of-speech tagging to analyze unstructured data.
  • Identify key text areas within NLP models that can effectively classify phishing emails with malicious code or cybersecurity-related keywords.

Uncovering Hidden Patterns with Machine Learning

  • Recognize the foundational principles of Machine Learning (ML), including the distinctions between supervised and unsupervised learning algorithms.
  • Learn how to collect data from diverse sources and prepare it for faster and more efficient machine learning model training in the context of threat intelligence.
  • Explore various techniques for constructing and assessing the effectiveness of Machine Learning models designed for situational threat intelligence applications.

Protecting Against Emerging AI Threats

  • Examine how threat actors can exploit AI for malicious purposes and explore potential strategies to mitigate these risks.
  • Identify vulnerabilities and weaknesses, while models to enforce system security, ensure stronger privacy protections, and facilitate safer deployment practices.

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Level 3/44 Martin Pl, Sydney NSW 2000

1300 520 270

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