AI+ Security Level 1™ | OEM Learning Journey

Learn how to apply AI in cybersecurity with this complete 141+ hour OEM Learning Journey, including cybersecurity, machine learning, command line, Python, labs, mentoring, assessments and an online proctored certification exam.

Demo AI+ Security Level 1™ Training

The AI+ Security Level 1™ | OEM Learning Journey helps you build the knowledge and skills needed to apply Artificial Intelligence and Machine Learning in modern cybersecurity. This Learning Journey provides a thorough exploration of the integration of AI and cybersecurity and prepares you to detect, analyze and mitigate digital threats more effectively.

You will start with foundational cybersecurity principles, operating systems, networking, command line, Bash scripting and Python programming. You will then learn how AI and ML techniques can be used for threat detection, security automation, malware detection, phishing detection, anomaly detection and incident response. Advanced topics such as AI-based authentication and Generative Adversarial Networks (GANs) for cybersecurity are also covered.

This Learning Journey emphasizes practical application throughout and culminates in a Capstone Project where you apply your skills to real-world cybersecurity challenges. By the end, you will understand how to leverage AI to protect digital assets, systems, networks and data more effectively.

What will you learn?

• Understand and apply fundamental cybersecurity principles to protect data, networks and systems
• Recognize security considerations within operating system environments
• Use AI and ML techniques to improve threat detection, automate security tasks and enhance response capabilities
• Understand essential networking concepts and their role in network security
• Use Python to build custom security tools, automate tasks and analyze data
• Evaluate different types of threat actors, their motives and their impact on security
• Design and implement incident response plans and disaster recovery strategies
• Apply open-source tools and best practices to manage security breaches and support business continuity

Who should attend?

This Learning Journey is suitable for:

• Cybersecurity professionals
• Security Analysts
• IT professionals who want to apply AI in security
• Junior Cybersecurity Engineers
• SOC team members
• Python Developers interested in cybersecurity
• Network Administrators
• IT Support professionals moving into cybersecurity
• Professionals preparing for the AI+ Security Level 1™ certification

Learning Journey content

This Learning Journey includes 141+ hours of learning across five tracks.

Track 1: Introduction to Cybersecurity

The internet is an ecosystem that is vulnerable to cyber threats. In this track, you will explore the world of cybersecurity. You will learn what cybersecurity is, why it is important and how to protect yourself, systems and data from digital threats.

Track 2: Machine Learning Beginner

Machine Learning plays an important role in data-driven decision-making and modern threat detection. This track explains what machine learning is, how machine learning algorithms work and how to implement and evaluate them. Topics include supervised learning, recommender systems and unsupervised learning.

Track 3: Command Line and Bash Scripting

In this track, you will discover the power of the command line: a simple yet essential text-based tool for developers and IT professionals. You will learn how to increase productivity and automate tasks with Bash scripting.

Track 4: Python Programming

In this track, you will learn the key elements of Python programming. You will start with control flow, loops, functions, lists, tuples, dictionaries, string manipulation, file handling and classes. You will then move into function arguments, scope, lambda functions, decorators, object-oriented programming, exceptions, unit testing, iterators, generators, context managers and higher-order functions.

Track 5: AI+ Security Level 1™

This track focuses on the integration of AI and cybersecurity. You will learn how Python, machine learning and threat mitigation combine to build a strong technical foundation for AI-driven cybersecurity.

This track covers:

• AI and cybersecurity integration
• Machine learning for threat detection
• Malware, phishing and anomaly detection
• AI-based authentication
• Generative Adversarial Networks for cybersecurity
• Security automation
• Incident response and disaster recovery
• Capstone Project with real-world cybersecurity challenges

Exam and certification

This Learning Journey includes an Online Proctored Certification Exam for AI+ Security Level 1™. After successful completion and passing the exam, you will receive a certification that demonstrates your knowledge of AI-driven cybersecurity.