IBM Generative AI for Cybersecurity Professionals Specialization Course Syllabus

Overview: This specialization is designed for cybersecurity professionals seeking to integrate generative AI into their workflows. The program consists of three core courses and a final project, totaling approximately 23 hours of flexible, self-paced learning. Each module combines foundational knowledge with practical applications, enabling learners to understand, apply, and evaluate generative AI tools in real-world cybersecurity scenarios. A consistent time commitment is recommended to complete the content within the suggested timeframe.

Module 1: Generative AI: Introduction and Applications

Estimated time: 7 hours

• Understand the fundamentals of generative AI
• Explore capabilities and limitations of generative AI models
• Examine real-world use cases across industries
• Identify key generative AI applications in cybersecurity

Module 2: Generative AI: Prompt Engineering Basics

Estimated time: 7 hours

• Learn core concepts of prompt engineering
• Apply zero-shot prompting techniques
• Implement few-shot prompting strategies
• Use tools like Prompt Lab for effective prompt design

Module 3: Generative AI Models and Tools

Estimated time: 6 hours

• Identify popular generative AI models including GPT and DALL·E
• Explore IBM Watsonx and its cybersecurity applications
• Utilize tools such as Spellbook and Dust in AI workflows
• Compare strengths and use cases of different AI models

Module 4: Applying Generative AI in Cybersecurity

Estimated time: 9 hours

• Apply AI to threat intelligence and detection
• Enhance incident response using generative AI
• Automate report summarization and documentation
• Develop AI-powered playbooks for SOC operations

Module 5: Security Implications and Mitigation

Estimated time: 6 hours

• Assess risks of generative AI in cybersecurity
• Analyze NLP-based attack techniques
• Defend against phishing and malware leveraging AI
• Mitigate attacks targeting generative AI models

Module 6: Final Project

Estimated time: 8 hours

• Analyze a real-world cybersecurity case study using AI
• Design and implement a generative AI-enhanced security workflow
• Present findings and recommendations in a comprehensive report

Prerequisites

• No prior AI experience required
• Basic understanding of cybersecurity concepts preferred
• Access to a computer with internet for hands-on exercises

What You'll Be Able to Do After

• Understand the fundamentals of generative AI and its role in cybersecurity
• Apply prompt engineering techniques like zero-shot and few-shot prompting
• Utilize tools such as GPT, DALL·E, IBM Watsonx, Prompt Lab, Spellbook, and Dust
• Enhance cybersecurity workflows including threat detection and incident response
• Analyze real-world implementations and mitigate AI-related threats