Tips for Writing an Impactful HR Resume
August 19, 2024
Article
This course is part of multiple programs.
Instructors: Rav Ahuja
Instructor ratings
We asked all learners to give feedback on our instructors based on the quality of their teaching style.
7,597 already enrolled
Included with
(72 reviews)
Recommended experience
Intermediate level
Cybersecurity skills and basic generative AI knowledge is beneficial for this course.
(72 reviews)
Recommended experience
Intermediate level
Cybersecurity skills and basic generative AI knowledge is beneficial for this course.
Explain the fundamental concepts of Generative AI and its significance in cybersecurity.
Apply generative AI techniques to real-world cybersecurity scenarios, including UBEA, threat intelligence, report summarization, and playbooks.
Assess the use of generative AI in cybersecurity against threats, like phishing and malware, and understand potential NLP-based attack techniques.
Mitigate attacks on generative AI models and analyze real-world case studies, identifying key success factors in implementation.
Add to your LinkedIn profile
8 assignments
Add this credential to your LinkedIn profile, resume, or CV
Share it on social media and in your performance review
This short course provides cybersecurity professionals and enthusiasts with the latest Generative AI tools to address complex cybersecurity challenges.
The course focuses on combating the exploitation of undetected vulnerabilities for which organizations increasingly turn to Artificial Intelligence (AI) and Machine Learning (ML). Generative AI, a transformative technology, emerges as a vital cybersecurity tool, detecting and preventing attacks by identifying and neutralizing unknown vulnerabilities before causing significant harm. The course explores foundational generative AI principles and their application in real-world cybersecurity, encompassing User and Entity Behavior Analytics (UEBA), threat intelligence, report summarization, playbooks, and its impact on phishing, malware, misinformation, and deepfakes. Additionally, participants learn about potential Natural Language Processing (NLP) attack techniques, like prompt injection, and strategies to mitigate them. The course ensures learners stay updated on the latest trends in using generative AI for cyber defense and threat prediction. Throughout the course you will be able to apply your knowledge with hands-on labs. Additionally, real-world inspired exercises will help you practice what you have learned. This course is suitable for both existing cybersecurity professionals who want to enhance their careers, as well as those aspiring to start a career in this field, such as cybersecurity specialists, cybersecurity analysts, cybersecurity engineers, and so on. Cybersecurity skills and basic generative AI knowledge is beneficial for this course.
In this module, you will learn to use generative AI for cybersecurity. First, you will explore the dependencies on training data quality used in generative AI models. You learn to address transparency challenges in Large Language Models (LLMs). The lesson further covers types of cybersecurity analytics and how generative AI enhances cybersecurity analytics, including incident response and forensic analysis. Then, you will learn EDR and SIEM functions for effective threat detection and response. Additionally, you will learn the importance of cybersecurity playbooks for strategic frameworks for incident report summarization using generative AI.
12 videos3 readings3 assignments3 app items6 plugins
In this module, you will learn to use generative AI for cybersecurity. Lesson 1 emphasizes generative AI’s role in automating incident analysis and integrating it into cybersecurity for efficient responses. It discusses how generative AI complements traditional vulnerability management. It includes threat hunting and streamlining incident response communication. The lesson highlights collaborative synergy for a robust defense against evolving cybersecurity threats. Lesson 2 highlights proactive threat detection and generative AI integration for efficient automation. It underscores the significance of generative AI in advancing cybersecurity and shaping the future of threat detection, concluding with QRadar Suite’s capabilities. Lesson 3 discusses the challenges of generative AI, such as risk exploration, ChatGPT management, mass adoption, and privacy concerns. Security oversights risk data and revenue loss, necessitating a security-by-design approach and ethical considerations in cybersecurity.
10 videos3 readings4 assignments1 app item8 plugins
In this module, you will demonstrate your skills through hands-on exercises. You will develop proficiency in utilizing generative AI for cybersecurity in a given project. The project will have five distinct exercises. In exercise 1, you will explore the capability of a Generative AI platform to detect spam mail. In exercise 2, you will employ generative AI techniques to examine the code structures of malware programs. In exercise 3, you will analyze network logs with generative AI to identify potential security threats. In exercise 4, you will learn generative AI for crafting detailed incident reports, covering the identification, containment, eradication, and recovery phases. In the fifth exercise, you will create a detailed playbook for responding to malware attacks.
3 readings1 assignment4 plugins
We asked all learners to give feedback on our instructors based on the quality of their teaching style.
Instructor ratings
We asked all learners to give feedback on our instructors based on the quality of their teaching style.
At IBM, we know how rapidly tech evolves and recognize the crucial need for businesses and professionals to build job-ready, hands-on skills quickly. As a market-leading tech innovator, we’re committed to helping you thrive in this dynamic landscape. Through IBM Skills Network, our expertly designed training programs in AI, software development, cybersecurity, data science, business management, and more, provide the essential skills you need to secure your first job, advance your career, or drive business success. Whether you’re upskilling yourself or your team, our courses, Specializations, and Professional Certificates build the technical expertise that ensures you, and your organization, excel in a competitive world.
Specialization
Vanderbilt University
Specialization
Vanderbilt University
Course
Johns Hopkins University
Specialization
72 reviews
73.97%
15.06%
8.21%
2.73%
0%
Showing 3 of 72
Reviewed on May 26, 2024
The course was very informative on Cyber-security and Generative AI
Reviewed on Mar 26, 2024
This course is very well done and explain difficult concepts in an easy to understand manner.
Unlimited access to 10,000+ world-class courses, hands-on projects, and job-ready certificate programs - all included in your subscription
Earn a degree from world-class universities - 100% online
Upskill your employees to excel in the digital economy
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
When you enroll in the course, you get access to all of the courses in the Certificate, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.