AI Specialist Program
A program preparing students with the latest technologies and frameworks in the AI and Machine Learning (ML) domains.
550 hours
Artificial Intelligence and Machine Learning
550 hours
Artificial Intelligence and Machine Learning


The global AI Software Market is expanding at an impressive rate. AI technology is now a credible source of business innovation. Therefore, investing in its adoption has become an option for today’s companies. Many startups and small businesses are concentrating on the development and implementation of AI, and its potential to penetrate diverse markets is growing. Therefore, for any IT professional looking to further their expertise, specializing in AI would open many new career paths.
CYBERPRO’s unique training emphasizes hands-on, practical work in training labs, using some of the most advanced learning technologies in the world.  At the end of the course, you will be able to write AI/ML applications with Python, install AI/ML services in some of the biggest cloud providers, develop AI algorithms and work as an AI/ML programmer.

The course covers the following topics:


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Linux command-line
  • Linux overview
  • Setup Linux from scratch
  • Working with files and directories
  • Text processing
  • Regular expressions
  • Searching for files
  • Linux networking
  • Linux users and permissions
  • Package management and code compilation
  • Process Management
  • Linux services (web server, database, dhcp, ssh)
Building tools with Python
  • Hello python
  • Expressions, data types, variables and simple logic
  • Solving problems with python flow control, conditionals, and loops
  • Text processing, handling strings, lists and regular expressions
  • Functional programing, exception handling and better use of cmd interface
  • Generating dictionaries and working with files
Python for AI
  • SciPy
  • NumPy
  • MatplotLib
  • Theano
Intro to Databases
  • Relational DB’s
  • NoSql DB’s
  • Intro to SQL
  • DB’s with Python
Working with GitHub
  • Installation
  • Daily work
  • Git Packages
  • Command prompt and expressions
  • Variables
  • Lists and Vectors
  • Indexing
  • Basic plotting
  • Vectors
  • Debugging with MAtlab
Machine Learning
  • Practical data science with SageMaker
  • Introduction
  • Decision trees
  • Regression algorithms
  • Clustering
Cloud and Services
  • Introduction to Cloud
  • Using AWS services
  • AWS ML-Building blocks
  • Machine learning pipeline on AWS
Deep Learning
  • Convolutional networks
  • Unsupervised learning
  • Sentiment analysis model
  • Using TensorFlow
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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.

    • Software Engineers
    • Python Programmers
    • English – High level
    • 2+ years of experience in programming
    • Knowledge in Linux – An advantage
    • Familiarity with AWS or Azure NL services -an advantage
    • Advance python programming
    • Using the tools of trade and available cloud services
    • Implementing AI and ML models and architecture
    • Understanding deep learning