Certificate Programme in Security Operations Center (SOC) with AI
-- viewing nowThe Security Operations Center (SOC) is a critical component of modern cybersecurity infrastructure. A SOC uses Artificial Intelligence (AI) to monitor and respond to security threats in real-time.
7,890+
Students enrolled
GBP £ 149
GBP £ 215
Save 44% with our special offer
About this course
Designed for Information Security Professionals and IT Managers, this Certificate Programme equips learners with the skills to set up, manage, and optimize a SOC using AI.
Through interactive modules and hands-on exercises, learners will gain knowledge on Threat Detection and Response, Incident Management, and Compliance and Governance in a SOC with AI.
Join our Certificate Programme in Security Operations Center (SOC) with Artificial Intelligence (AI) to enhance your career prospects and stay ahead in the cybersecurity landscape.
Explore the programme now and take the first step towards becoming a SOC expert with AI!
100% online
Learn from anywhere
Shareable certificate
Add to your LinkedIn profile
2 months to complete
at 2-3 hours a week
Start anytime
No waiting period
Course details
• Threat Intelligence and Analytics
This unit focuses on the collection, analysis, and dissemination of threat intelligence to support security decision-making. It covers the use of various data sources, including open-source intelligence, social media, and proprietary feeds, to identify and characterize threats. • Incident Response and Management
This unit covers the procedures and best practices for responding to and managing security incidents, including containment, eradication, recovery, and post-incident activities. It also emphasizes the importance of incident response planning, training, and communication. • Security Information and Event Management (SIEM) Systems
This unit introduces students to SIEM systems, which are designed to collect, monitor, and analyze security-related data from various sources. It covers the configuration, management, and optimization of SIEM systems, as well as the use of machine learning and artificial intelligence to improve incident detection and response. • Artificial Intelligence and Machine Learning for Security
This unit explores the application of AI and machine learning in security operations, including anomaly detection, predictive analytics, and automated incident response. It covers the use of techniques such as deep learning, natural language processing, and computer vision to improve security outcomes. • Cloud Security and Compliance
This unit covers the security and compliance requirements for cloud-based systems, including IaaS, PaaS, and SaaS. It introduces students to cloud security architecture, migration, and management, as well as the use of cloud security tools and services. • Network Security and Architecture
This unit covers the fundamental principles of network security, including network architecture, protocols, and threats. It introduces students to network security measures, such as firewalls, intrusion detection and prevention systems, and virtual private networks (VPNs). • Cybersecurity Governance and Risk Management
This unit emphasizes the importance of cybersecurity governance and risk management in organizations. It covers the development of cybersecurity policies, procedures, and standards, as well as the use of risk management frameworks and tools to identify and mitigate threats. • Security Orchestration, Automation, and Response (SOAR)
This unit introduces students to SOAR solutions, which are designed to automate and streamline security incident response processes. It covers the configuration, management, and optimization of SOAR systems, as well as the use of machine learning and AI to improve incident response efficiency. • Data Analytics and Visualization for Security
This unit covers the use of data analytics and visualization tools to support security decision-making. It introduces students to data visualization techniques, such as dashboards, reports, and heat maps, as well as the use of machine learning and AI to improve incident detection and response. • Security Information and Analysis (SIA)
This unit covers the collection, analysis, and dissemination of security-related data to support security decision-making. It introduces students to SIA tools and techniques, including data mining, predictive analytics, and machine learning.
This unit focuses on the collection, analysis, and dissemination of threat intelligence to support security decision-making. It covers the use of various data sources, including open-source intelligence, social media, and proprietary feeds, to identify and characterize threats. • Incident Response and Management
This unit covers the procedures and best practices for responding to and managing security incidents, including containment, eradication, recovery, and post-incident activities. It also emphasizes the importance of incident response planning, training, and communication. • Security Information and Event Management (SIEM) Systems
This unit introduces students to SIEM systems, which are designed to collect, monitor, and analyze security-related data from various sources. It covers the configuration, management, and optimization of SIEM systems, as well as the use of machine learning and artificial intelligence to improve incident detection and response. • Artificial Intelligence and Machine Learning for Security
This unit explores the application of AI and machine learning in security operations, including anomaly detection, predictive analytics, and automated incident response. It covers the use of techniques such as deep learning, natural language processing, and computer vision to improve security outcomes. • Cloud Security and Compliance
This unit covers the security and compliance requirements for cloud-based systems, including IaaS, PaaS, and SaaS. It introduces students to cloud security architecture, migration, and management, as well as the use of cloud security tools and services. • Network Security and Architecture
This unit covers the fundamental principles of network security, including network architecture, protocols, and threats. It introduces students to network security measures, such as firewalls, intrusion detection and prevention systems, and virtual private networks (VPNs). • Cybersecurity Governance and Risk Management
This unit emphasizes the importance of cybersecurity governance and risk management in organizations. It covers the development of cybersecurity policies, procedures, and standards, as well as the use of risk management frameworks and tools to identify and mitigate threats. • Security Orchestration, Automation, and Response (SOAR)
This unit introduces students to SOAR solutions, which are designed to automate and streamline security incident response processes. It covers the configuration, management, and optimization of SOAR systems, as well as the use of machine learning and AI to improve incident response efficiency. • Data Analytics and Visualization for Security
This unit covers the use of data analytics and visualization tools to support security decision-making. It introduces students to data visualization techniques, such as dashboards, reports, and heat maps, as well as the use of machine learning and AI to improve incident detection and response. • Security Information and Analysis (SIA)
This unit covers the collection, analysis, and dissemination of security-related data to support security decision-making. It introduces students to SIA tools and techniques, including data mining, predictive analytics, and machine learning.
Career path
| **Job Title** | **Salary Range** | **Skill Demand** |
|---|---|---|
| Security Operations Centre (SOC) Analyst | £35,000 - £50,000 | High |
| Information Security Analyst | £45,000 - £70,000 | High |
| Incident Response Specialist | £50,000 - £80,000 | High |
| Security Information and Event Management (SIEM) Analyst | £40,000 - £65,000 | Medium |
| Compliance and Risk Manager | £60,000 - £90,000 | Medium |
| Cyber Security Consultant | £80,000 - £120,000 | Low |
Entry requirements
- Basic understanding of the subject matter
- Proficiency in English language
- Computer and internet access
- Basic computer skills
- Dedication to complete the course
No prior formal qualifications required. Course designed for accessibility.
Course status
This course provides practical knowledge and skills for professional development. It is:
- Not accredited by a recognized body
- Not regulated by an authorized institution
- Complementary to formal qualifications
You'll receive a certificate of completion upon successfully finishing the course.
Why people choose us for their career
Loading reviews...
Frequently Asked Questions
Debug: False
Course fee
MOST POPULAR
Fast Track
GBP £149
Complete in 1 month
Accelerated Learning Path
- 3-4 hours per week
- Early certificate delivery
- Open enrollment - start anytime
Standard Mode
GBP £99
Complete in 2 months
Flexible Learning Pace
- 2-3 hours per week
- Regular certificate delivery
- Open enrollment - start anytime
What's included in both plans:
- Full course access
- Digital certificate
- Course materials
All-Inclusive Pricing • No hidden fees or additional costs
Get course information
Earn a career certificate
CERTIFICATE PROGRAMME IN SECURITY OPERATIONS CENTER (SOC) WITH AI
is awarded to
Learner Name
who has completed a programme at
London School of Planning and Management (LSPM)
Awarded on
05 May 2025
Blockchain Id: s-1-a-2-m-3-p-4-l-5-e
Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.
