Your result

When completing this course you will be able to:

• Understand and build proficiencies in AI technologies like ML, DL and NLP to enhance cybersecurity through real-time threat detection and pattern recognition
• Learn how AI overcomes traditional methods' limitations by providing advanced threat detection, automated responses, and proactive defense
• Gain hands-on experience through exercises and a capstone project to develop and implement AI-driven security tools for real-world scenarios
• Understand ethical and regulatory issues surrounding AI in cybersecurity to implement solutions responsibly and in compliance with standards
• Stay ahead of evolving threats by predicting future AI and cybersecurity trends and explore the importance of a collaborative approach integrating AI technologies with cybersecurity expertise

Audience

This course is ideal for cybersecurity professionals, IT professionals and system administrators, cloud architects and engineers, risk management specialists, business leaders and decision makers, software developers, security consultants and advisors and AI enthusiasts aiming to enhance their knowledge of AI-driven security techniques.

Approach

This e-learning is developed by very experienced and knowledgeable instructors who are also active in the field. During the e-learning, you will work on cases and assignments in which the theory is continuously linked to daily practice.

Prior knowledge

• Completion of AI+ Security Level 1™, but not mandatory
• Basic Python skills: familiarity with Python basics, including variables, loops, and functions
• Basic cybersecurity: basic understanding of cybersecurity principles, such as the CIA triad and common cyber threats
• Basic machine learning awareness: general awareness about machine learning, no technical skills required
• Basic networking knowledge: understanding of IP addresses and how the internet works
• Basic command line skills: comfort using the command line like Linux or Windows terminal for basic tasks
• Interest in AI for security: willingness to explore how AI can be applied to detect and mitigate security threats

Course material 

Computrain uses the most up-to-date study materials, which have been specially developed for this training. You also have access to a modern online learning environment, e-Connect. This environment contains all the information you need for the training and additional information. Additionally, you can easily communicate with the other participants.

Future possibilities

Have you completed this course and would you like to continue studying? Take a look at our ‘AI+ Security Level 3™’ course."

Certificate

When completing this course, you will receive the certificate of participation ‘AI+ Security Level 2™ - On Demand’. 

Content

• Introduction to AI and cybersecurity
• Python programming for AI and cybersecurity professionals
• Applications of machine learning in cybersecurity
• Detection of email threats with AI
• AI algorithm for malware threat detection
• Network anomaly detection using AI
• User authentication security with AI
• GAN for cybersecurity
• Penetration testing with AI
• Capstone project