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AI Fundamentals
This course delves into the transformative role of Artificial Intelligence in cybersecurity, offering students a comprehensive introduction to the integration of AI-driven technologies. Participants will explore key concepts in Machine Learning, Deep Learning, and Natural Language Processing, applying them to tackle complex, real-world cybersecurity challenges. By the end of the course, students will understand AI's potential to enhance cyber defenses, automate threat detection, and optimize decision-making processes, all while recognizing its limitations in practical applications.
Program Code: XE109
Package: XE Basics​
Level: 1
Course Information
Prerequisites
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Linux and Windows Operating System
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Programming or Scripting
Duration Options
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Self-paced: 2-4 week
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Trainer-led: 20 hours
Core Features of Cyberium Arena
Labs
Enhance training with defense and attack tasks.
Books
Tailored coursebooks for cybersecurity studies.
Scenarios
Diverse situations mimicking real professional challenges.
Projects
Integrated projects to demonstrate acquired knowledge.
Introduction to AI
AI Basics
Explore AI definitions, history, and relevance in modern industries.
Machine Learning
Understand the fundamentals of ML and its applications.
Deep Learning
Delve into DL concepts and their significance in AI.
NLP
Learn about Natural Language Processing and its role in AI.
AI Libraries Overview
Data Handling
NumPy and Pandas for efficient data preprocessing and manipulation.
Visualization
Matplotlib and Seaborn for creating insightful data visualizations.
Machine Learning
TensorFlow and PyTorch for building and training ML models.
Machine Learning Workflow
Preprocess
Clean and prepare data for analysis.
Train
Build and optimize machine learning models.
Evaluate
Assess model performance and accuracy.
Predict
Apply trained models to new data.
Prompt Engineering Fundamentals
Crafting Prompts
Learn techniques for creating effective AI prompts.
Real-World Applications
Apply prompt engineering to blogging, incident reporting, and awareness campaigns.
Optimization Techniques
Explore advanced methods to improve AI responses.
AI in Cybersecurity
Integration Basics
Understand how AI enhances cybersecurity measures.
AI-Driven Solutions
Explore examples of AI applications in cyber defense.
Limitations
Recognize the constraints of AI in cybersecurity contexts.
