Cybersecurity and artificial intelligence security

Bag code: SCSAI21050021 does not include offers Days: 10 training days "Training unit 5 hours" Time: 50 training hours Targeted participants of the program: Researchers - university employees - employees of government and private sectors Overview of the program: This program revolves around the cybersecurity and artificial intelligence security bag (definition - types - characteristics - goals - positives - negatives... etc.) It will be presented through the following units: First training unit: Concept of cybersecurity Second training unit: Origins of cybersecurity Third training unit: Cyber threats and response to them Fourth training unit: Data protection and privacy Fifth training unit: Access management and identity verification Sixth training unit: Electronic fraud and electronic hacking Seventh training unit: Big data analysis and AI security Eighth training unit: Cyber threats and response to them Ninth training unit: Security of connected objects (IoT) and augmented reality (VR) Tenth training unit: Developments and future trends in cybersecurity and artificial intelligence Program objectives: - To enable the trainee to understand what cybersecurity is - To realize the importance of cybersecurity - To familiarize the trainee with types of cybersecurity threats - To realize how cybersecurity works - To understand the origins of cybersecurity - To know the cyber space - To apply common cyber attacks and how to recognize them - To derive incident response management and emergency plans - To see damage analysis and data recovery after cyber attacks - To explore the importance of protecting sensitive data and information - To familiarize the trainee with encryption techniques and data protection in cybersecurity and AI - To realize compliance with laws and regulations related to privacy and data protection - To familiarize the trainee with roles, privileges, and access rights management - To realize multi-factor identity verification systems - To understand biometric verification techniques such as facial recognition and fingerprinting - To apply practical exercises - To learn about electronic fraud and hacking types and recommendations to prevent them - To understand hacking attack methods and how to detect and prevent them - To develop protection strategies against fraud and breaches in the context of artificial intelligence - To apply practical exercises - To understand smart data analysis and its importance in cybersecurity - To learn machine learning and deep learning techniques in big data analysis - To address security challenges and concerns in using AI - To develop protection strategies against cyber threats - To apply practical exercises - To understand connected objects (IoT) security and challenges - To develop strategies to protect connected devices and IoT networks - To follow security guidelines and practices to ensure connected objects security - To ensure augmented reality (VR) security - To apply practical exercises - To explore developments and future trends in cybersecurity and AI - To understand developments in cyber threats - To explore the use of AI in cybersecurity - To learn future techniques in cybersecurity Content of the bag: PowerPoint: 215 Trainer guide: 156 Trainee guide: 144 Profile file: 4 Activities bag: 20 Mind maps: 1 Images: 20 Videos: 10 References: 4 Trainee data form: 3 Brochure: 1 Bag contents: 12 Training bag model Please click here to view the training bag model