العربية
- Duration: 35 hours
This course covers Cyber Security Introduction and fundamentals, Security of Network, Systems, Applications, and Data. Â In addition to training on cybersecurity rules, and how to deal with artificial intelligence technologies in industrial and vital institutions.
- Cyber Security Introduction and fundamentals
- Security of Network, Systems, Applications, and Data
- Security Implications and Adoption of Evolving Technology
- AI Core Concepts
- Detecting Cybersecurity Threats with AI
- Protecting Sensitive Information and Assets
- Evaluating and Testing your AI detection system
20-23/02/2025
IT Managers, Developers, Digital Transformation consultants/managers, IT Engineers, Researchers and Academicians, College/University Students and/or Graduates
English & Arabic
Related Courses
Business Digital Transformation
This course covers Business Digital Transformation with Robotic Process, Automation (RPA), UI Automation and Selectors. Â How to leverage technologies strategically for the company, maximize the value of digital transformation, minimize its risks, and evaluate their inherent opportunities and challenges.
Business Intelligence and Data Analytics
This course covers Basics of insight generation, Basic statistics: Foundations of quantitative insights. The application of BI is limitless, covering operational, tactical and strategic business decisions, extending to all departments and to all users who perform data curation, reporting, analysis, integration and automation.
AI for Business Professionals
Topics of program: AI Fundamentals Non-Specialist AI Applications in Marketing and Finance AI Applications in People Management AI Strategy and Governance
Database Design in MS SQL Server
This course covers the essentials for Database management using Microsoft SQL Server, including the connection, implementation, profiling, and maintenance for the relational database management systems. Learn how an efficient and secured SQL Server Database should be, from Database design with minimum anomaly to database implementation in MS SQL Server, from…
End-to-End Python Programming and Machine learning
This course covers the essentials for Machine Learning using Python libraries, including advanced components such as feature engineering, attribute combination, transformers, and empirical visualizations. Learn how real machine learning algorithms work, from preprocessing to feature scaling, from training and tuning to visualization of the models; how to save and load…