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GIAC Machine Learning Engineer (GMLE)

Practitioner Certification

The GIAC Machine Learning Engineer (GMLE) certification validates a practitioner’s knowledge of practical data science, statistics, probability, and machine learning. GMLE certification holders have demonstrated that they are qualified to solve real-world cyber security problems using Machine Learning.






Areas Covered


Who is GMLE for?


GMLE with CyberLive

GIAC knows that cyber security professionals need:

In response to this industry-wide need, GIAC developed CyberLive - hands-on, real-world practical testing.

CyberLive testing creates a lab environment where cyber practitioners prove their knowledge, understanding, and skill using:

Candidates are asked practical questions that require performance of real-world-like tasks that mimic specialized job roles.

Exam Format

Note:GIAC reserves the right to change the specifications for each certification without notice. Based on a scientific passing point study, the passing point for the GISF exam has been determined to be 72% for all candidates receiving access to their certification attempts on or after June 12th, 2018.

Delivery

NOTE: All GIAC Certification exams are web-based and required to be proctored. There are two proctoring options: remote proctoring through ProctorU, and onsite proctoring through PearsonVUE.

Course Details

1. GIAC Machine Learning Engineer

  • Anomaly Detection and Optimization
    • The candidate will demonstrate a fundamental understanding autoencoders and how they are used in anomaly detection problems. The candidate will also demonstrate a fundamental understanding of how genetic algorithms are applied to automate the optimization of neural networks.
  • Clustering
    • The candidate will demonstrate a fundamental understanding of machine learning concepts such as clustering, and unsupervised machine learning.
  • Convolutional Neural Networks
    • The candidate will demonstrate a fundamental understanding of how convolutional neural networks are used to solve classification problems as well as for predictive analytics.
  • Data Acquisition
    • The candidate will demonstrate a fundamental understanding of data acquisition, cleaning, and manipulation terminology and the steps necessary to prepare threat data for additional threat hunting analysis. The candidate will demonstrate familiarity with accessing data from SQL, document stores, and by web scraping.
  • Leveraging Python
    • The candidate will demonstrate a fundamental understanding of the Python scripting language and modules such as NumPy, Pandas, and TensorFlow and how to leverage them to extract, visualize, transform, and load data.
  • Neural Networks
    • The candidate will demonstrate a fundamental understanding of deep learning concepts using neural networks for supervised machine learning. Candidates will demonstrate an understanding of loss and error functions, vectors, matrices and tensors.
  • Probability and Frequency
    • The candidate will demonstrate a fundamental understanding of probability theory, inference, the Bayes theorem and Fourier series.
  • Regressions
    • The candidate will demonstrate a fundamental understanding of regressions and their application in deep learning.
  • Statistics Fundamentals
    • The candidate will demonstrate a fundamental understanding of statistics and how it is applied to data science for threat hunting use cases. The candidate will demonstrate familiarity with terminology such as mean, and median.
  • Supervised Learning
    • The candidate will demonstrate a fundamental understanding of support vector classifiers, kernel functions, support vector machines, decision trees and random forests.


Fees Structure : 15500 INR / 185 USD
Total No of Class : 42 Video Class
Class Duration : 32:00 Working Hours
Download Feature : Download Avalable
Technical Support : Call / Whatsapp : +91 8680961847
Working Hours : Monday to Firday 9 AM to 6 PM
Payment Mode : Credit Card / Debit Card / NetBanking / Wallet (Gpay/Phonepay/Paytm/WhatsApp Pay)

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Fees Structure : 30000 INR / 355 USD
Class Duration : 60 Days
Class Recording : Live Class Recording available
Class Time : Monday to Firday 1.5 hours per day / Weekend 3 Hours per day
Technical Support : Call / Whatsapp : +91 8680961847
Working Hours : Monday to Firday 9 AM to 6 PM
Payment Mode : Credit Card / Debit Card / NetBanking / Wallet (Gpay/Phonepay/Paytm/WhatsApp Pay)

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