IBM - Generative AI: Boost Your Cybersecurity Career
- Offered byCoursera
Generative AI: Boost Your Cybersecurity Career at Coursera Overview
Duration | 9 hours |
Start from | Start Now |
Total fee | Free |
Mode of learning | Online |
Official Website | Explore Free Course  |
Credential | Certificate |
Generative AI: Boost Your Cybersecurity Career at Coursera Highlights
- Earn a certificate from Coursera
- Add to your LinkedIn profile
- 8 assignments
Generative AI: Boost Your Cybersecurity Career at Coursera Course details
- 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
- 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
- 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
- Cybersecurity skills and basic generative AI knowledge is beneficial for this course
Generative AI: Boost Your Cybersecurity Career at Coursera Curriculum
Get Started with Gen AI in Cybersecurity
Course Introduction
Transition from Conventional AI to Generative AI and its Benefits in Cybersecurity
The Future of Cybersecurity in the Era of Generative AI
Generative AI and LLM Risk
Security Risks Associated with Using Generative AI Tools
Cybersecurity Analytics Using Generative AI
Guarding against NLP-based Attacks on Generative AI
Unleashing the Power of Generative AI for Cybersecurity
Demo: Using the Power of Generative AI in Data Security
Overview of Incident Response and Forensic Analysis
Using Generative AI for Cybersecurity Report Summarization and Playbooks
Course Syllabus and Prerequisites
Lesson 1 Summary: The Security Implications of Generative AI
Lesson 2 Summary: Introduction to Generative AI and Data Security
Lesson 1 Practice Quiz: The Security Implications of Generative AI
Lesson 2 Practice Quiz: Introduction to Generative AI and Data Security
Module 1 Graded Quiz: Get Started with Gen AI in Cybersecurity
Hands-on Lab: Using Generative AI to Block/Remove Offensive Content
Hands-on Lab: Applying Generative AI to Cybersecurity
Hands-on Lab: Cyber Incident Reports and Playbook using Generative AI
Helpful Tips for Course Completion
Reading: Applications of Generative AI on Different Tasks of Cybersecurity
Hands-on Lab: Malicious Code Generation Using Generative AI
Reading: Application of Generative AI in Content Filtering and Monitoring
Reading: Threats on Generative AI Models
Reading: The Cost of a Data Breach (CoDB) and the Impact of AI
SIEM and SOC Tasks Using Generative AI
Triage Potential Incidents, Analyze Logs, and Assist Investigations
Enhancing Vulnerability Management with Generative AI
Demo: Augmenting Threat Hunting and Security Analysis
Demo: Streamlining Vulnerability Management
Advanced Threat Detection Using Generative AI in SIEM
Ways to Integrate Generative AI into SIEM
Decoding UBEA Using Generative AI
Demo: Real-Time Assistance Using Generative AI
Issues, Concerns, and Considerations Using Generative AI in Cybersecurity
Ethical Concerns of AI in Cybersecurity
Lesson 1 Summary: Using Generative AI for Incident Response
Lesson 2 Summary: Integrating Generative AI Models with Security Systems
Lesson 3 Summary: Ethics, Issues, Considerations for Using Generative AI for Cybersecurity
Lesson 1 Practice Quiz: Using Generative AI for Incident Response
Lesson 2 Practice Quiz: Integrating Generative AI Models with Security Systems
Lesson 3 Practice Quiz: Ethics, Issues, Considerations for Using Generative AI for Cybersecurity
Module 2 Graded Quiz: SIEM and SOC Tasks Using Generative AI
Reading: Incident Response Using Generative AI
Hands-on Lab: Incident Response and Alerts Generation Using Generative AI
Reading: ChatGPT with QRadar/any SIEM tool
Reading: Optimizing Cybersecurity with Generative AI Integration in SIEM
Hands-on Lab: Training Generative AI with Incident Data for Better Pattern Recognition
Reading: SOAR in Cybersecurity: Enhancing Security Operations with Generative AI
Reading: Securing the Future with Generative AI: Building Proactive and Cost-effective Cybersecurity Solutions
Hands-on Lab: Using Generative AI for Threat Intelligence
Reading: Generative AI and Cybersecurity: Balancing Benefits and Ethical Concerns
Final Project and Exam
Generative AI: Boost Your Cybersecurity Career at Coursera Admission Process
Important Dates
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