Udemy

The Complete Artificial Intelligence for Cyber Security 2024

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  • 3,442 Students
  • Updated 3/2025
  • Certificate Available
4.1
(460 Ratings)
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Course Information

Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
12 Hour(s) 59 Minute(s)
Language
English
Taught by
Hoang Quy La
Certificate
  • Available
  • *The delivery and distribution of the certificate are subject to the policies and arrangements of the course provider.
Rating
4.1
(460 Ratings)

Course Overview

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

*** AS SEEN ON KICKSTARTER ***

Learn key AI concepts and intuition training to get you quickly up to speed with all things AI. Covering:

  • How to start building AI with no previous coding experience using Python.

  • How to solve AI problems in cyber security field.

Here is what you will get with this course:


1. Complete beginner to expert AI skills – Learn to code self-improving AI for a range of purposes. In fact, I will code together with you. Every tutorial starts with a blank page and we write up the code from scratch. This way you can follow along and understand exactly how the code comes together and what each line means.

2. Coding step– Plus, you’ll get a template which shows all the steps and all detailed explanations on each step.

3. Intuition Tutorials – Where most courses simply bombard you with dense theory and set you on your way, you will develop a deep understanding for not only what you’re doing, but why you’re doing it. That’s why I don’t throw complex theories at you, but focus on building up your intuition in coding AI making for infinitely better results down the line.

4. Real-world solutions – You’ll achieve your goal in not only 1 project but in more than 10. Each module is comprised of varying structures and difficulties, meaning you’ll be skilled enough to build AI adaptable to any projects in real life, rather than just passing a glorified memory “test and forget” like most other courses. Practice truly does make perfect.

5. In-course support – I fully committed to making this the most accessible and results-driven AI course on the planet. This requires me to be there when you need my help. That’s why I will support you in your journey, meaning you’ll get a response from me within 72 hours maximum.

Course Content

  • 16 section(s)
  • 180 lecture(s)
  • Section 1 Introduction to Artificial Intelligence and Cybersecurity (Updated in 2024)
  • Section 2 Fundamentals of Machine Learning for Cybersecurity (UPDATED 2024)
  • Section 3 Introduction to phishing attack detectors (updated 2024)
  • Section 4 Malware threat detection using machine learning method (updated 2024)
  • Section 5 Automatic Intrusion Detection (updated 2024)
  • Section 6 Securing and Attacking Data with Machine Learning (updated 2024)
  • Section 7 (OLD CONTENT) Introduction
  • Section 8 Basic machine learning for cyber security (OLD CONTENT)
  • Section 9 (OLD Content) Detecting Email Cybersecurity Threats with AI
  • Section 10 (OLD COTENT) Malware Threat Detection
  • Section 11 (OLD Content) Advanced malware threat detection
  • Section 12 (OLD Content) Network Anomaly Detection with AI
  • Section 13 (OLD COTENT) Securing Users Authentication
  • Section 14 (OLD Content) Automatic intrusion detection
  • Section 15 (OLD Content) Securing and Attacking Data with Machine Learning
  • Section 16 Thank you

What You’ll 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.


Reviews

  • G
    Gaurav Batra
    5.0

    Very Nice

  • S
    Siu Man Wong
    5.0

    The content is very useful.

  • T
    Thiên Kim Trần Đăng
    5.0

    I’ve recently embarked on my journey into the world of cybersecurity. It's not easy, especially for beginners like me, but the instructor explains complex concepts in a clear and accessible way.

  • T
    Tung Lam
    5.0

    Đây là một chủ đề hay và sâu sắc. Nhiều thông tin bổ ích, cách giảng dễ hiểu và đa dạng. Cảm ơn bạn đã cung cấp nó. Hãy tiếp tục phát huy nhé

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