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ZOSKILL
AI for Cybersecurity & Risk Professionals
Enhance Threat Detection & Response with AI & ML
Audience: Security Analysts, Cybersecurity Engineers, SOC Professionals, Risk Managers, GRC Teams
Key Features
- 16 Hours of Expert-Led Live Training by industry practitioners.
- Hands-On Learning with real-time Generative AI tools.
- Practical Frameworks & Templates for AI-driven Agile processes.
- Real-World Case Studies on successful Generative AI adoption in Agile environments.
- Integration Guidance for the latest tools and popular AI platforms.
- Access to AI prompt libraries, checklists, and Agile+AI workflow guides
- Course Completion Certificate from Zoskill validating your expertise
Course Overview
This program enables cybersecurity and risk professionals to harness the power of AI and machine learning for predictive threat detection, intelligent monitoring, anomaly detection, and automated incident response.
Learning Objectives
By the end of this course, you will:
- Understand AI applications in threat intelligence and cyber defense
- Use ML models for anomaly detection, phishing, and malware classification
- Automate incident triage and response using AI
- Integrate AI into your SIEM, SOAR, and GRC workflows
- Integrate AI into your SIEM, SOAR, and GRC workflows
Curriculum Modules
- The evolving threat landscape
- Role of AI and ML in cyber defense
- Key challenges and ethical considerations
- AI-based threat intelligence platforms
- Enrichment using NLP from threat feeds
- Tools: Recorded Future, Anomali, IBM X-Force, GPT for IOC analysis
- Building ML models to detect network anomalies
- Use of AI in IDS/IPS systems
- Techniques: Clustering, Decision Trees, Auto encoders
- Image and text analysis for phishing emails
- AI-based malware classification
- Hands-on with open-source datasets
- Risks of GenAI in cybersecurity (e.g., AI-generated phishing)
- Using GenAI for faster SOC operations
- AI-driven incident summarization and response
- Automating playbooks using AI
- Integrating ML in tools like Splunk, QRadar, Palo Alto Cortex
- Visual threat dashboards and real-time alerting
- Risk scoring and prioritization with ML
- AI for regulatory compliance automation
- Natural language processing for policy analysis and audit trail monitoring
Capstone Project: Building a Threat Detection Pipeline
- Design a simplified AI-driven SOC scenario
- Integrate threat feeds, anomaly detection, and automated response
- Mentor evaluation and report presentation
Assessment & Certification
- Lab-based assignments + real datasets
- Final project simulation
- Certificate of Completion from Zoskill + LinkedIn badge
Outcomes
- Gain AI-based threat detection skills
- Build automation in your SOC or GRC workflows
- Future-proof your cybersecurity career with ML capabilities
4.3
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3 Star
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2 Star
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Frequently Asked Questions
Do I need technical or coding skills to take this course?
No, this course is designed for project managers with no technical background.
How long will it take to complete the course?
The course can be completed in 4–6 weeks at your own pace.
Will I get a certificate?
Yes, you’ll receive a certificate of completion that you can share with employers and on LinkedIn.
Are there real-life examples included?
Absolutely. Each module includes case studies and practical use cases.
Toll Free
+91887898789989
Mail your Quries
Info@zoskill.com