ML & Anomaly Detection
An advanced course on the methods and models used to detect anomalies through the application of Machine Learning.
120 hours
Artificial Intelligence and Machine Learning
120 hours
Artificial Intelligence and Machine Learning


Machine learning-based anomaly detection methods and models are one step ahead of the once manual processes. ML is proven to be more effective and capable of handling larger data sets when implemented. Nonetheless, detecting anomalies successfully through ML requires theoretical and practical skills and a deep understanding of the context, especially when dealing with unstructured data (such as encoded images or languages). Nevertheless, there are benefits of applying ML-based anomaly detection in high-risk industries that need secure operations such as banking security, medicine, or manufacturing.
By undertaking this course, trainees will earn the necessary skills to harness machine learning technology to detect anomalies. Learning to identify abnormal data is valuable in deep learning, data analytics, predictions, and many more cases. Understanding the theory behind the methods is an essential role of the developer and researcher. This advanced course is for developers and BI or data engineers.

The course covers the following topics:


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The Why and How
  • Types of anomalies
  • Applications of anomaly detection
  • Types of search engines
Probability and Geometry in the use of anomaly detection
  • Common models for anomaly detection
  • Applying extreme value analysis
  • Implement anomaly detection with Python
The Linear Models
  • Linear regression models
  • The use of support vectors for anomaly detection
Additional Models
  • Using the LOF model
  • K nearest neighbor and K means models for anomaly detection
Supervised learning and classifications
  • The cost sensitive algorithm
  • The resampling and boosting methods
Working with Streams
  • Statistical process control
  • The auto regressive model
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About CYBERPRO was founded in cooperation with international information security and instruction authorities who bring to Israel world-leading cyber training technologies and a learning experience of the highest standard available today.

The partners include the IITC group which has been training graduates for the high tech industry for over 20 years, and was selected as the training center for the Cisco Company in Israel.

CYBERPRO’s advanced, sought-after training courses in the areas of infrastructures, information security and cyber are world famous. These training courses were developed by some of the best cyber experts in the world, for international security organizations that emphasize the high training capabilities, the professional learning methods and the unique training and practice technologies. Our connection with international groups allows our students to be exposed to unique employment opportunities in Israel and abroad.

The training and learning tracks are all based much hands-on practice and preparation for the industry and profession requirements, so they include technological labs and practice sessions using one of the most advanced simulators in the world.

    • Developers
    • BI Engineers
    • Data Engineers
    • Python
    • Statistics
    • Methods of anomaly detection
    • Derive depth-based and proximity-based detection models
    • Use wide range of data streams
    • Implement models using Python