This advanced cybersecurity course combines Python programming, threat hunting, and Agentic AI to build modern security operations skills used in Security Operations Centers (SOC). It is designed for learners who want to move beyond basics and understand how automation and artificial intelligence are transforming cybersecurity.

The course begins with an introduction to Agentic AI concepts and how AI systems can support cybersecurity analysts in detecting and responding to threats. It then covers Python fundamentals including variables, data types, loops, functions, error handling, and working with JSON and APIs. These programming skills are essential for building security automation tools.

Students will learn how to integrate Python with AI models such as ChatGPT and use them to analyze security logs and perform threat hunting tasks. The course also introduces SOC workflows, log analytics, KQL querying, and real-world security data analysis techniques.

In addition, learners explore advanced topics such as tool integration, API usage, cost optimization, guardrails, and automated incident response. The course demonstrates how AI agents can assist in detecting threats and even supporting remediation actions in security environments.

By the end of the course, learners will understand how cybersecurity, Python, and AI work together in modern threat detection systems. This course is ideal for SOC analysts, cybersecurity engineers, and learners interested in AI-driven cybersecurity and automation.