This Cybersecurity, Python, and Threat Hunting with Agentic AI course is an advanced, hands-on program that combines modern cybersecurity operations with programming and artificial intelligence. It is designed for learners who want to understand how AI-driven security systems and threat hunting workflows are built in real-world environments.

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

A major section focuses on integrating Python with AI tools such as OpenAI APIs, enabling learners to build intelligent security automation systems. It also explores structured data handling using JSON, dictionaries, and logging analytics queries for threat detection.

The course further introduces threat hunting concepts, including querying security logs, analyzing system behavior, and detecting suspicious activity using data-driven techniques. It also covers guardrails and safe AI usage in cybersecurity systems to ensure controlled and secure automation.

Advanced topics include token management, API optimization, cost control, and real-world SOC workflows such as incident detection and automated remediation actions like VM isolation.

By completing this course, learners gain a strong combination of cybersecurity knowledge, Python programming skills, and AI-powered threat hunting capabilities, preparing them for modern SOC and cybersecurity engineering roles.