Artificial Intelligence for Security Professionals Course Overview

Last Updated : 22 Nov 2024

Artificial Intelligence for Security Professionals Course Overview

The Artificial Intelligence for Security Professionals course is a comprehensive 5-day program designed to empower cybersecurity experts with the skills to tackle modern security threats using AI technologies. Participants will learn how to develop and deploy AI-driven threat detection systems using Python, covering essential techniques in machine learning and deep learning for real-time intrusion detection.

By the course's end, participants will grasp the role of AI in identifying and mitigating security threats, implementing natural language processing for threat intelligence, and defending against adversarial attacks on AI models. This course combines theoretical concepts with hands-on practical applications, ensuring that learners can seamlessly integrate AI solutions into their security strategies.

5.0

Intermediate

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USD

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Course Fee	2,150
Total Fees	2,150 (USD)

USD

1,700^♱

View Fees Breakdown

Course Fee	1,700
Total Fees	1,700 (USD)

USD

^♱

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Flexi Video	16,449
Official E-coursebook
Exam Voucher (optional)
Hands-On-Labs²	4,159
+ GST 18%	4,259
Total Fees (without exam & Labs)	22,359 (INR)
Total Fees (with Labs)	28,359 (INR)

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Free Pre-requisite Training

Join a free session to assess your readiness for the course. This session will help you understand the course structure and evaluate your current knowledge level to start with confidence.

Assessments (Qubits)

Take assessments to measure your progress clearly. Koenig's Qubits assessments identify your strengths and areas for improvement, helping you focus effectively on your learning goals.

Post Training Reports

Receive comprehensive post-training reports summarizing your performance. These reports offer clear feedback and recommendations to help you confidently take the next steps in your learning journey.

Class Recordings

Get access to class recordings anytime. These recordings let you revisit key concepts and ensure you never miss important details, supporting your learning even after class ends.

Free Lab Extensions

Extend your lab time at no extra cost. With free lab extensions, you get additional practice to sharpen your skills, ensuring thorough understanding and mastery of practical tasks.

Free Revision Classes

Join our free revision classes to reinforce your learning. These classes revisit important topics, clarify doubts, and help solidify your understanding for better training outcomes.

Inclusions in Koenig's Learning Stack may vary as per policies of OEMs

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1-on-1 Training

Schedule personalized sessions based upon your availability.

Learn More

Customized Training

Learning without limits. Create custom courses that fit your exact needs, from blended topics to brand-new content.

Learn More

Happiness Guaranteed

Experience exceptional training with the confidence of our Happiness Guarantee, ensuring your satisfaction or a full refund.

Learn More

Destination Training

Immerse yourself in a focused learning environment, free from distractions, where you can sharpen your skills in popular global destinations.

Learn More

Fly-Me-A-Trainer (FMAT)

Flexible on-site learning for larger groups. Fly an expert to your location anywhere in the world.

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Course Prerequisites

Prerequisites for the Artificial Intelligence for Security Professionals Course

To ensure a successful learning experience in the Artificial Intelligence for Security Professionals course, we recommend that participants have the following minimum knowledge and skills:

Basic Programming Skills: Familiarity with Python syntax and data structures.
Introduction to Cybersecurity: Basic understanding of network security concepts, including malware, intrusion detection, and encryption.
Mathematics for AI: A foundational understanding of basic linear algebra, probability, and statistics.

Having these prerequisites will help you make the most of the course and successfully engage with the material covered throughout the training.

Target Audience for Artificial Intelligence for Security Professionals

The "Artificial Intelligence for Security Professionals" course equips participants with AI skills to enhance cybersecurity measures, focusing on threat detection, response automation, and ethical concerns.

Cybersecurity Analysts
Security Engineers
Data Scientists specializing in Security
Network Security Administrators
Machine Learning Engineers
AI Researchers with a security focus
Incident Response Team Members
Ethical Hackers
Security Operations Center (SOC) Analysts
Risk Management Professionals
Compliance Officers in IT Security
IT Managers overseeing Security Departments
Security Software Developers
Fraud Prevention Analysts
AI Product Managers in Cybersecurity
System Administrators with a security focus

Learning Objectives - What you will Learn in this Artificial Intelligence for Security Professionals?

Introduction

The Artificial Intelligence for Security Professionals course equips participants with essential AI skills to identify, mitigate, and respond to cybersecurity threats, covering a comprehensive range of concepts from machine learning to ethical considerations in AI security.

Learning Objectives and Outcomes

Understand the role of AI in identifying and mitigating security threats.
Develop and deploy AI-driven threat detection systems using Python.
Utilize machine learning and deep learning techniques for real-time intrusion detection.
Implement natural language processing and reinforcement learning in security applications.
Analyze and defend against adversarial attacks on AI security models.
Build classification models for malware detection.
Apply clustering techniques for anomaly detection in network traffic analysis.
Utilize AI for real-time incident detection and automated response in SOC environments.
Explore ethical AI practices and privacy considerations in security contexts.
Learn about emerging trends and future advancements in AI for cybersecurity.