The Complete Artificial Intelligence for Cyber Security 2024
Combine the power of Data Science, Machine Learning and Deep Learning to create powerful AI for Real-World applications
4.17 (445 reviews)

3 347
students
28 hours
content
Mar 2025
last update
$59.99
regular price
What you will learn
Isolation Forest
Markov Chains
Statsmodels
NLP (Natural Language Processing)
Linear Regression
Logistic Regression
Naïve Bayes
ANN (Artificial Intelligence)
Random Forest
K-means
HMM
Eigenfaces and Eigenvalues
SVM (Support Vector Machine)
XGBOOST
Pandas
Numpy
matplotlib
IF-IDF
Tensorflow
Scikit-Learn
Cyber security
Google Colab
Data Pre-processing.
Analysing Data.
Data standardization.
Splitting Data into Training Set and Test Set.
One-hot Encoding.
Understanding Machine Learning Algorithm.
Training Neural Network.
Model building.
Analysing Results.
Model compilation.
A Comparison Of Categorical And Binary Problem.
Make a Prediction.
Testing Accuracy.
Confusion Matrix.
Keras.
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Our Verdict
This course excels in delivering a thorough understanding of AI's role in cybersecurity by blending theory with practical examples. Though some areas could benefit from visual enhancements, the comprehensive curriculum and expert guidance make it an invaluable resource for anyone looking to enhance their AI skills and apply them to real-world cybersecurity challenges.
What We Liked
- Comprehensive curriculum covering essential AI and cybersecurity concepts, making it suitable for both beginners and professionals.
- Expert instructors provide thorough explanations of complex theories, enabling easy understanding even for those without prior knowledge in AI.
- Hands-on projects and real-world examples help solidify the learning experience, demonstrating practical applications of AI in cybersecurity.
- The course content is clear, logically organized, and provides a strong foundation in Artificial Intelligence and security methods.
Potential Drawbacks
- Some users find the presentation style raw and missing visual content, which could improve understanding and engagement.
- A few sections contain outdated content that, while still valuable for knowledge, might require adaptation when applied in practice.
- Occasionally, minor overlapping occurs between new and old content, leading to repetition for some users.
Related Topics
3941384
udemy ID
26/03/2021
course created date
05/05/2021
course indexed date
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