CERTIFIED
AI & LLM SECURITY
BOOTCAMP
INTRODUCTION
Industry-focused AI and Large Language Model (LLM) security bootcamp with hands-on learning. Build practical AI security skills, understand modern AI threats, and gain the knowledge needed to secure AI-driven environments.
CERTIFIED
AI & LLM SECURITY
BOOTCAMP
INTRODUCTION
Industry-focused AI and Large Language Model (LLM) security bootcamp with hands-on learning. Build practical AI security skills, understand modern AI threats, and gain the knowledge needed to secure AI-driven environments.
CERTIFIED
AI & LLM SECURITY
BOOTCAMP
INTRODUCTION
Industry-focused AI and Large Language Model (LLM) security bootcamp with hands-on learning. Build practical AI security skills, understand modern AI threats, and gain the knowledge needed to secure AI-driven environments.
12
MODULES
5
Days
English
Language
12
5
English
MODULES
Days
Language
Course Modules & Syllabus
Develop a strong understanding of artificial intelligence, machine learning, deep learning, and Large Language Models. Learn how AI is transforming cybersecurity and how attackers can misuse AI technologies.
Topics Covered
- AI, machine learning, and deep learning fundamentals
- Large Language Models (LLMs)
- Generative AI concepts
- AI applications in cybersecurity
- AI abuse and emerging threats
Learn how to securely deploy and integrate Large Language Models across cloud, on-premises, and hybrid environments while applying authentication, authorization, and security best practices.
Understand Convolutional Neural Networks (CNNs), image classification, model evaluation, and their practical applications in cybersecurity, including malware detection and anomaly identification.
Learn effective prompt engineering techniques, evaluate AI-generated content for accuracy, identify hallucinations, and develop reliable validation processes.
Understand how bias affects AI systems, learn methods to identify biased outputs, and explore techniques for documenting and reducing AI bias.
Study prompt injection attacks, attacker techniques, and defensive strategies including input validation, sandboxing, and policy controls.
Learn secure AI development practices, secret management, API protection, and methods to prevent the exposure of sensitive credentials.
Explore how AI models are evaluated through APIs, understand model behavior mapping, and learn how these techniques support both security testing and defensive planning.
Understand role injection attacks, AI assistant manipulation techniques, and governance controls that help secure AI-powered applications.
Learn how to identify AI attack surfaces, perform AI threat modeling, assess risks, and design secure AI-enabled systems.
Study secure coding principles, API security, secret management, secure data handling, and AI application security throughout the development lifecycle.
Discover how AI supports cybersecurity operations, incident response, AI monitoring, misuse detection, and defensive security controls within modern SOC environments.
Overview
The Certified AI & LLM Security Bootcamp is designed for cybersecurity professionals who want to develop practical skills in artificial intelligence and Large Language Model (LLM) security. As organizations rapidly adopt AI technologies, understanding how to securely deploy, manage, and defend AI-powered systems has become an essential cybersecurity capability.
Through hands-on labs, realistic attack scenarios, and practical exercises, participants learn AI fundamentals, LLM architectures, prompt engineering, AI security risks, API protection, secure development practices, and AI threat modeling. The program combines theory with real-world experience to help learners confidently assess AI systems and integrate AI security into modern cybersecurity operations.
Course Objective
The objective of the Certified AI & LLM Security Bootcamp is to equip cybersecurity professionals with the knowledge and practical skills required to understand, assess, and secure AI-powered systems and Large Language Models.
Participants learn how AI models operate, how attackers exploit AI technologies, and how organizations can reduce AI-related risks through secure deployment, governance, API security, prompt engineering, and defensive controls. The course emphasizes practical learning through hands-on labs and real-world scenarios, enabling learners to confidently evaluate AI environments and strengthen organizational security.
By the end of the bootcamp, participants will have a solid foundation in AI security principles and be prepared to address the growing cybersecurity challenges associated with modern AI technologies.
Course Highlights
- Designed specifically for cybersecurity professionals
- Comprehensive introduction to AI and Large Language Model (LLM) security
- Covers real-world AI threats, attacks, and defensive strategies
- Hands-on labs delivered through the CyCube platform
- Learn prompt engineering, prompt injection, and AI risk management
- Covers secure AI deployment, API security, and secret management
- Practical exercises using realistic cybersecurity scenarios
- Focus on AI governance, model evaluation, and threat modeling
- Ideal for professionals supporting AI-enabled environments
Overview
The Certified AI & LLM Security Bootcamp is designed for cybersecurity professionals who want to develop practical skills in artificial intelligence and Large Language Model (LLM) security. As organizations rapidly adopt AI technologies, understanding how to securely deploy, manage, and defend AI-powered systems has become an essential cybersecurity capability.
Through hands-on labs, realistic attack scenarios, and practical exercises, participants learn AI fundamentals, LLM architectures, prompt engineering, AI security risks, API protection, secure development practices, and AI threat modeling. The program combines theory with real-world experience to help learners confidently assess AI systems and integrate AI security into modern cybersecurity operations.
Course Objective
The objective of the Certified AI & LLM Security Bootcamp is to equip cybersecurity professionals with the knowledge and practical skills required to understand, assess, and secure AI-powered systems and Large Language Models.
Participants learn how AI models operate, how attackers exploit AI technologies, and how organizations can reduce AI-related risks through secure deployment, governance, API security, prompt engineering, and defensive controls. The course emphasizes practical learning through hands-on labs and real-world scenarios, enabling learners to confidently evaluate AI environments and strengthen organizational security.
By the end of the bootcamp, participants will have a solid foundation in AI security principles and be prepared to address the growing cybersecurity challenges associated with modern AI technologies.
Course Highlights
- Designed specifically for cybersecurity professionals
- Comprehensive introduction to AI and Large Language Model (LLM) security
- Covers real-world AI threats, attacks, and defensive strategies
- Hands-on labs delivered through the CyCube platform
- Learn prompt engineering, prompt injection, and AI risk management
- Covers secure AI deployment, API security, and secret management
- Practical exercises using realistic cybersecurity scenarios
- Focus on AI governance, model evaluation, and threat modeling
- Ideal for professionals supporting AI-enabled environments
Course Modules & Syllabus
Develop a strong understanding of artificial intelligence, machine learning, deep learning, and Large Language Models. Learn how AI is transforming cybersecurity and how attackers can misuse AI technologies.
Topics Covered
- AI, machine learning, and deep learning fundamentals
- Large Language Models (LLMs)
- Generative AI concepts
- AI applications in cybersecurity
- AI abuse and emerging threats
Learn how to securely deploy and integrate Large Language Models across cloud, on-premises, and hybrid environments while applying authentication, authorization, and security best practices.
Understand Convolutional Neural Networks (CNNs), image classification, model evaluation, and their practical applications in cybersecurity, including malware detection and anomaly identification.
Learn effective prompt engineering techniques, evaluate AI-generated content for accuracy, identify hallucinations, and develop reliable validation processes.
Understand how bias affects AI systems, learn methods to identify biased outputs, and explore techniques for documenting and reducing AI bias.
Study prompt injection attacks, attacker techniques, and defensive strategies including input validation, sandboxing, and policy controls.
Learn secure AI development practices, secret management, API protection, and methods to prevent the exposure of sensitive credentials.
Explore how AI models are evaluated through APIs, understand model behavior mapping, and learn how these techniques support both security testing and defensive planning.
Understand role injection attacks, AI assistant manipulation techniques, and governance controls that help secure AI-powered applications.
Learn how to identify AI attack surfaces, perform AI threat modeling, assess risks, and design secure AI-enabled systems.
Study secure coding principles, API security, secret management, secure data handling, and AI application security throughout the development lifecycle.
Discover how AI supports cybersecurity operations, incident response, AI monitoring, misuse detection, and defensive security controls within modern SOC environments.
Course Modules & Syllabus
Develop a strong understanding of artificial intelligence, machine learning, deep learning, and Large Language Models. Learn how AI is transforming cybersecurity and how attackers can misuse AI technologies.
Topics Covered
- AI, machine learning, and deep learning fundamentals
- Large Language Models (LLMs)
- Generative AI concepts
- AI applications in cybersecurity
- AI abuse and emerging threats
Learn how to securely deploy and integrate Large Language Models across cloud, on-premises, and hybrid environments while applying authentication, authorization, and security best practices.
Understand Convolutional Neural Networks (CNNs), image classification, model evaluation, and their practical applications in cybersecurity, including malware detection and anomaly identification.
Learn effective prompt engineering techniques, evaluate AI-generated content for accuracy, identify hallucinations, and develop reliable validation processes.
Understand how bias affects AI systems, learn methods to identify biased outputs, and explore techniques for documenting and reducing AI bias.
Study prompt injection attacks, attacker techniques, and defensive strategies including input validation, sandboxing, and policy controls.
Learn secure AI development practices, secret management, API protection, and methods to prevent the exposure of sensitive credentials.
Explore how AI models are evaluated through APIs, understand model behavior mapping, and learn how these techniques support both security testing and defensive planning.
Understand role injection attacks, AI assistant manipulation techniques, and governance controls that help secure AI-powered applications.
Learn how to identify AI attack surfaces, perform AI threat modeling, assess risks, and design secure AI-enabled systems.
Study secure coding principles, API security, secret management, secure data handling, and AI application security throughout the development lifecycle.
Discover how AI supports cybersecurity operations, incident response, AI monitoring, misuse detection, and defensive security controls within modern SOC environments.
Overview
The Certified AI & LLM Security Bootcamp is designed for cybersecurity professionals who want to develop practical skills in artificial intelligence and Large Language Model (LLM) security. As organizations rapidly adopt AI technologies, understanding how to securely deploy, manage, and defend AI-powered systems has become an essential cybersecurity capability.
Through hands-on labs, realistic attack scenarios, and practical exercises, participants learn AI fundamentals, LLM architectures, prompt engineering, AI security risks, API protection, secure development practices, and AI threat modeling. The program combines theory with real-world experience to help learners confidently assess AI systems and integrate AI security into modern cybersecurity operations.
Course Objective
The objective of the Certified AI & LLM Security Bootcamp is to equip cybersecurity professionals with the knowledge and practical skills required to understand, assess, and secure AI-powered systems and Large Language Models.
Participants learn how AI models operate, how attackers exploit AI technologies, and how organizations can reduce AI-related risks through secure deployment, governance, API security, prompt engineering, and defensive controls. The course emphasizes practical learning through hands-on labs and real-world scenarios, enabling learners to confidently evaluate AI environments and strengthen organizational security.
By the end of the bootcamp, participants will have a solid foundation in AI security principles and be prepared to address the growing cybersecurity challenges associated with modern AI technologies.
Course Highlights
- Designed specifically for cybersecurity professionals
- Comprehensive introduction to AI and Large Language Model (LLM) security
- Covers real-world AI threats, attacks, and defensive strategies
- Hands-on labs delivered through the CyCube platform
- Learn prompt engineering, prompt injection, and AI risk management
- Covers secure AI deployment, API security, and secret management
- Practical exercises using realistic cybersecurity scenarios
- Focus on AI governance, model evaluation, and threat modeling
- Ideal for professionals supporting AI-enabled environments
This course is suitable for
- Cybersecurity Professionals
- SOC Analysts and Security Operations Teams
- Security Engineers
- Penetration Testers
- DevSecOps Engineers
- AI and Machine Learning Practitioners
- IT Security Managers
- Anyone interested in AI and LLM Security
What You Will Learn
By the end of the bootcamp, participants will be able to:
- Understand the fundamentals of AI, machine learning, deep learning, and Large Language Models
- Identify common AI security threats and attack techniques
- Secure AI deployments across cloud, on-premises, and hybrid environments
- Apply prompt engineering and defend against prompt injection attacks
- Protect AI APIs, credentials, and sensitive data
- Evaluate AI model behavior, bias, and output quality
- Perform AI threat modeling and risk assessments
- Apply secure AI development and governance practices
- Integrate AI security into cybersecurity operations and incident response
Download the brochure to see the complete course structure, learning approach, key outcomes, and what you can expect from the training experience.
This course is suitable for
- Cybersecurity Professionals
- SOC Analysts and Security Operations Teams
- Security Engineers
- Penetration Testers
- DevSecOps Engineers
- AI and Machine Learning Practitioners
- IT Security Managers
- Anyone interested in AI and LLM Security
What You Will Learn
By the end of the bootcamp, participants will be able to:
- Understand the fundamentals of AI, machine learning, deep learning, and Large Language Models
- Identify common AI security threats and attack techniques
- Secure AI deployments across cloud, on-premises, and hybrid environments
- Apply prompt engineering and defend against prompt injection attacks
- Protect AI APIs, credentials, and sensitive data
- Evaluate AI model behavior, bias, and output quality
- Perform AI threat modeling and risk assessments
- Apply secure AI development and governance practices
- Integrate AI security into cybersecurity operations and incident response
Download the brochure to see the complete course structure, learning approach, key outcomes, and what you can expect from the training experience.
Download the brochure to see the complete course structure, learning approach, key outcomes, and what you can expect from the training experience.
Instructor
Delivered by senior cybersecurity instructors with more than 10 years of experience in cybersecurity, AI technologies, ICT systems, and information security. Our instructors combine extensive industry expertise with practical teaching experience to deliver engaging, scenario-based training. Participants gain hands-on experience through realistic AI security exercises and labs hosted on the CyCube platform, helping them develop practical skills that can be applied immediately in real-world environments.
Instructor
Delivered by senior cybersecurity instructors with more than 10 years of experience in cybersecurity, AI technologies, ICT systems, and information security. Our instructors combine extensive industry expertise with practical teaching experience to deliver engaging, scenario-based training. Participants gain hands-on experience through realistic AI security exercises and labs hosted on the CyCube platform, helping them develop practical skills that can be applied immediately in real-world environments.
START YOUR AI SECURITY JOURNEY WITH PRACTICAL, REAL-WORLD SKILLS
Whether you want to strengthen your cybersecurity expertise, secure AI-powered environments, or understand the risks associated with Large Language Models, this bootcamp provides the practical knowledge and hands-on experience needed to succeed.
Enroll now and take the next step in securing the future of AI.
START YOUR AI SECURITY
JOURNEY WITH PRACTICAL, REAL-WORLD SKILLS
Whether you want to strengthen your cybersecurity expertise, secure AI-powered environments, or understand the risks associated with Large Language Models, this bootcamp provides the practical knowledge and hands-on experience needed to succeed.
Enroll now and take the next step in securing the future of AI.
START YOUR AI SECURITY
JOURNEY WITH PRACTICAL, REAL-WORLD SKILLS
Whether you want to strengthen your cybersecurity expertise, secure AI-powered environments, or understand the risks associated with Large Language Models, this bootcamp provides the practical knowledge and hands-on experience needed to succeed.
Enroll now and take the next step in securing the future of AI.
Get In touch
“We’re here to help! Reach out to us with any questions or for personalized assistance regarding our Certified Ethical Hacking Bootcamp
Contact Us
Location – London, UK
Tel: +44 (0) 207 206 7276
Email – info@ecs-et.com
Website – www.ecs-et.com
Get In touch
“We’re here to help! Reach out to us with any questions or for personalized assistance regarding our Certified Ethical Hacking Bootcamp
Contact Us
Location – London, UK
Tel: +44 (0) 207 206 7276
Email – info@ecs-et.com
Website – www.ecs-et.com
Get In touch
“We’re here to help! Reach out to us with any questions or for personalized assistance regarding our Certified Ethical Hacking Bootcamp
Contact Us
Location – London, UK
Tel: +44 (0) 207 206 7276
Email – info@ecs-et.com
Website – www.ecs-et.com