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

ABOUT THE PROGRAM

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.
SOTERIA Global’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:

DON'T TOUCH THIS TAB

It’s important to improve the accordion’s behaviour

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
Matlab
  • 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
Don't touch this tab
ABOUT SOTERIA GLOBAL

SOTERIA Global is a global leader in cyber-security training solutions and services.

The cyber world is now a part of our everyday life. New technology emerges daily, and as opportunities increase, so do cyber risks. Threats constantly evolve, and we must protect our valuable assets.

A successful cyber defense has many factors, but they all have one thing in common: dedicated, skilled individuals.

SOTERIA Global experts develop our solutions and rely on the best technological assets in the market. Our impressive global presence expands over four continents, giving us access to the best cybersecurity professionals.

Our solutions range from customized training programs to developing cyber-oriented facilities, ensuring that individuals and organizations are ready to face real-world threats. Over the years, we have worked with various organizations across many sectors, giving us the skillset to shape and adapt our solutions to meet our client’s needs.

COURSE INFO
    • 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

INTERESTED? CONTACT US