This Cybersecurity, Python, and Threat Hunting with Agentic AI course provides a complete modern approach to security operations by combining programming, artificial intelligence, and real-world threat detection techniques. It is designed for learners who want to understand how security teams use automation and AI to detect and respond to cyber threats.

The course begins with an introduction to Agentic AI in Security Operations Centers (SOC) and explains how AI systems assist analysts in detecting threats. It then introduces Python fundamentals required for cybersecurity automation, including variables, data types, functions, loops, and error handling.

You will also learn how Python integrates with AI tools and APIs, including working with OpenAI models and processing structured data like JSON. The course covers log analysis, querying security data, and working with real-world SOC environments.

In addition, it explains threat hunting concepts, including how to identify suspicious activity, analyze logs, and build automated detection workflows. It also introduces guardrails for safe AI usage and shows how AI agents can assist in incident response and remediation.

By the end of this course, learners will understand how cybersecurity, Python, and AI work together in modern security operations, and how to build intelligent systems for threat detection and response in real-world environments.