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  1. Courses
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  3. GenAI for Cybersecurity Analysts

GenAI for Cybersecurity Analysts

This course guides learners through the key capabilities of GenAI and provides practical strategies to leverage these tools in their daily tasks.

Karlis Zars
Karlis Zars
Cybersecurity | core | 1 hour 10 minutes |   Published: Jul 2024
In partnership with: Coursera

    Discussions

Overview

1KSTUDENTS*
96.6%RECOMMEND*

This course includes:

  • 1 hour of on-demand video  
  • Certificate of completion  
  • Direct access/chat with the instructor 
  • 100% self-paced online 

As part of the GenAI Academy, “GenAI for Cybersecurity Analysts” explores how Generative Artificial Intelligence (GenAI) is revolutionizing the field of cybersecurity. This course guides learners through the key capabilities of GenAI and provides practical strategies to leverage these tools in their daily tasks. Through discussions, video demos, and guided hands-on activities, learners will understand how GenAI can enhance productivity in threat detection, risk mitigation, security testing, and more. 

Learners will also consider the ethical concerns surrounding the use of GenAI in cybersecurity, examining potential risks and challenges, as well as best practices for responsible implementation. By the end of this course, cybersecurity analysts will be equipped with the knowledge and skills to harness the transformative potential of GenAI to enhance their productivity and effectiveness. 

Whether you’re an experienced cybersecurity analyst looking to stay ahead of the curve or an aspiring professional seeking to future-proof your skillset, this course provides a foundation that will empower you to unlock new levels of efficiency, productivity, and creativity in your work. 

Skills You Will Gain

Cyber Threats
Ethical Concerns
Productivity
Responsible Implementation
Security Tools

Learning Outcomes (At The End Of This Program, You Will Be Able To...)

  • Identify the capabilities of GenAI for basic role-specific cybersecurity functions.  
  • Evaluate the results of GenAI for a real-world application in cybersecurity. 
  • Compare and contrast the risks, challenges, and ethical considerations of GenAI in the workplace for cybersecurity functions.  

Prerequisites

Participants should understand fundamental cybersecurity concepts, including threat detection, risk assessment, and incident response, and have experience with cybersecurity tools and basic coding for security automation. Additionally, they should be curious, open to new technologies, and eager to learn how Generative AI (GenAI) can enhance cybersecurity workflows.

 

 

Who Should Attend

Team leads guide cybersecurity teams towards innovative practices with GenAI. Cybersecurity analysts enhance workflows with GenAI tools. Aspiring analysts aim to future-proof their skills and gain a competitive edge with GenAI integration.

Curriculum

Instructors

*Where courses have been offered multiple times, the “# Students” includes all students who have enrolled. The “%Recommended” shown is also based on this data.
Karlis Zars

Karlis Zars

Karlis is a dedicated professional committed to shaping the next generation of software developers. With over seven years of experience, he serves as a JAVA Trainer at Software Development Academy, where he mentors aspiring developers and equips them with the skills needed to thrive in the fast-paced tech industry.

Beyond the classroom, Karlis is deeply involved in cutting-edge research as a PhD student in Computer Science at the University of Latvia. His research focuses on artificial intelligence and machine learning, exploring innovative applications that drive industry advancements.

Karlis began his journey in technology with hands-on experience as a Robotic Process Automation Developer at Rimi Baltic Group, where he designed and implemented automated solutions that transformed business processes. His previous roles as a Developer at ELVA and a Junior Software Developer at D8 Corporation allowed him to hone his expertise in Java, JavaScript, Linux, and Flutter, contributing to his well-rounded understanding of software development.

Throughout his career, Karlis has remained committed to delivering high-quality, user-friendly solutions that address complex challenges. His experience as a System Administrator at Lauku Avīze AS and a Software Tester at Lattelecom helped cultivate a diverse skill set and a keen eye for detail.

Karlis’ academic journey at Latvijas Universitāte, where he is pursuing a Doctor of Philosophy in Computer Science, has further enriched his knowledge and reinforced his commitment to excellence in both academia and industry.

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1Module 1: GenAI for Cybersecurity Analysts

You need to enroll in this course to access the curriculum. Click 'Enroll' to get started!

Segment 01 - Introduction to GenAI for Cybersecurity Analysts

Segment 02 - GenAI and Cybersecurity Analysts: Glossary

Segment 03 - History & Background for GenAI and Cybersecurity Analysts

Segment 04 - Demo: Security Report Writing and Threat Detection with ChatGPT

Segment 05 - Demo: Threat Detection with ChatGPT

Segment 06 - Demo: Report Generation with ChatGPT

Segment 07 - Remediating Risks and Ethical Concerns

Segment 08 - Demo: Evaluating Cybersecurity Solutions with ChatGPT-4

Segment 09 - Demo: Automated Incident Response with GenAI

Segment 10 - Incident Response Plan Showcase

Segment 11 - Closing Thoughts: What’s Next