Certified AI Security Expert (CAISE)™
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100K+
Learners -
16 Hours of
CPD Credit -
200
Practice Q&A -
100+
Lessons -
Accredited
Certification
Trusted by employees at leading organizations
Specialize in AI Security with the CAISE Certification Program by 101 Blockchains
Explore career opportunities in AI security by learning how to combat AI risks with our new certification course.
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Acquire an in-depth understanding of LLM security, adversarial machine learning, and advanced AI security mechanisms.
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Learn the best practices for visualizing robust workflows, integrating security controls, and applying governance frameworks.
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Transform into an AI security leader with hands-on knowledge of global regulations, AI risk management, and responsible AI practices.
Become a sought-after AI professional with advanced skills in AI Security
Artificial intelligence has become a mainstream addition to the modern technological landscape with real-world use cases across multiple industries. The growing use of AI has also raised concerns about the security of artificial intelligence systems, especially in financial services. Attackers look for new ways to break into AI models and exploit users, thereby deteriorating trust in artificial intelligence.
The number of AI-powered attacks across different industries increases massively each year, and the reason for this situation is the lack of expert personnel who can manage AI security. The prevalence of AI threats means that every business that wishes to capitalize on AI must have AI security experts in their workforce to safeguard its finances and reputation.
The new accredited Certified AI Security Expert certification course helps you master AI security with a hands-on approach. The certification course begins with modules that cover lessons on adversarial machine learning and LLM security best practices. Along with the lessons on developing robust workflows, learners will also gain crucial insights into sophisticated security mechanisms for AI systems.
Additionally, the certification course provides an excellent opportunity to improve your knowledge of AI security governance and the smooth integration of security controls in AI systems. The CAISE certification course also sheds light on global regulations for AI security and the best practices in AI risk management. After completing this course, learners will become credible AI security leaders with fluency in responsible AI practices and hands-on skills.
WHAT YOU WILL LEARN
SUPERCHARGE YOUR AI SECURITY KNOWLEDGE WITH LESSONS ON…
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Essential concepts in cybersecurity and artificial intelligence
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The fundamentals of AI security
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An overview of adversarial machine learning
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The working mechanism of prompt injection and LLM security
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AI security controls and standard defense mechanisms
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Best practices for risk management, compliance, and governance in AI
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Use cases and applications of AI security in different industries
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Advanced concepts and a capstone project in the domain of AI security
DEVELOP A SUCCESSFUL CAREER PATH IN AI SECURITY BY…
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Becoming a trusted security professional by specializing in the protection of AI systems and the prevention of adversarial attacks.
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Acquiring knowledge about safeguarding AI pipelines, machine learning models, and LLMs as data scientists and AI practitioners.
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Learning about enterprise AI adoption, compliance, and strategic best practices for analysts and consultants.
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Gaining practical experience with defense controls, red teaming, and AI security tools to improve your fluency as developers and engineers.
Course Curriculum
- A message from the instructor
- Course Overview
- How to use this course
- Disclaimer
- Download Certification Presentation
- Module Overview
- What is Artificial Intelligence?
- What is Cybersecurity?
- Convergence: Why AI Needs Security
- Demonstration - Data Poisoning Scenario
- Key Terminologies
- AI in Security: Applications
- Security in AI
- Professional Roles in AI Security
- Module Summary
- Interactive Exercise
- Module Overview
- Introduction to AI Security Fundamentals
- AI Technology Stack Overview
- AI Threat Taxonomy & Classification
- Business Impact of AI Security Breaches
- AI Ethics & Responsible AI Principles
- Current AI Security Standards & Frameworks
- AI Security Tools & Platforms Overview
- Module Summary
- Interactive Exercise
- Module Overview
- Adversarial Examples & Attack Fundamentals
- Evasion Attacks Against ML Models
- Model Poisoning & Backdoor Attacks
- Demonstration - Backdoor Trigger in a Model
- Generative AI & LLM-Specific Attacks
- Computer Vision Attack Techniques
- Natural Language Processing Attacks
- Attack Tools & Frameworks
- Module Summary
- Interactive Exercise
- Module Overview
- LLM Architecture & Security Fundamentals
- Demonstration - Naive Prompt Injection in GPT
- Direct Prompt Injection Techniques
- Indirect Prompt Injection & RAG Attacks
- Jailbreaking & Safety Bypass Methods
- LLM Application Security
- Advanced LLM Attack Vectors
- LLM Security Testing & Red Teaming
- Module Summary
- Interactive Exercise
- Module Overview
- Defense-in-Depth for AI Systems
- Adversarial Training & Robust Optimization
- Input Validation & Sanitization
- Model Security Hardening
- LLM Guardrails & Safety Mechanisms
- Demonstration - Guardrails vs No Guardrails
- Monitoring & Anomaly Detection
- Demonstration – Monitoring & Anomaly Detection on AI Logs
- Secure AI Development Practices
- Demonstration – Secure vs Insecure Tool Call
- Module Summary
- Interactive Exercise
- Module Overview
- AI Governance Framework Design
- AI Risk Assessment & Management
- Regulatory Compliance & Standards
- AI Audit & Assurance
- Ethical AI & Bias Management
- AI Incident Response & Crisis Management
- AI Supply Chain Security
- Module Summary
- Interactive Exercise
- Module Overview
- Financial Services AI Security
- Healthcare AI Security
- Autonomous Systems Security
- Cloud AI & SaaS Security
- IoT & Edge AI Security
- Government & Critical Infrastructure
- Enterprise AI Security Strategy
- Module Summary
- Interactive Exercise
- Module Overview
- Emerging AI Security Threats
- Advanced Defense Technologies
- AI Security Research & Development
- AI Security Program Management
- Future of AI Security
- Professional Development
- Capstone Project Planning & Development
- Module Summary
- Interactive Exercise
- Module Overview
- Course Summary
- Certification Outro
- Certifcation Process
- Final Exam
- Hands-On Assignment
- Final Presentation
- BONUS: Download AI Security Expert Glossary
- Certified AI Security Expert Course Evaluation
THE MOST PRACTICAL AND COMPREHENSIVE ACCREDITED CERTIFICATION FOR AI SECURITY- WHO SHOULD JOIN?
Anyone interested in mastering AI security
Security professionals working in any industry
AI practitioners and data scientists
Business analysts and consultants
Developers and engineers
UNDERSTAND THE PRACTICAL IMPLICATIONS OF AI SECURITY IN EVERY INDUSTRY- CLOSE THE SKILL GAP
The Certified AI Security Expert certification helps you gain practical, hands-on expertise in AI security from scratch. It provides comprehensive guidance on AI security controls, LLM security, prompt injections, and adversarial machine learning. In addition to the modules on industry applications of AI security, the course provides insights into AI governance, compliance, and risk management as well as hands-on experience that bridges the gap between theory and practice.
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Bonus Materials
Course Presentation
Download the course presentation and access it anytime, anywhere.
Additional Lectures
Get access to additional lectures and improve your skills even more.
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Certified AI Security Expert Certification Course FAQs
Yes, the Certified AI Security Expert (CAISE)™ certification program is officially accredited according to the standards of the CPD Certification Service. 101 Blockchains accredited certification programs are the only industry-recognized and accredited credentials focused specifically on Blockchain, AI and Web3 technologies.
The modules covered in our new certification on AI security include a comprehensive list of topics that will make you an AI security specialist. You will become a certified AI security professional with our lessons on the fundamentals of AI security, adversarial machine learning, and LLM security. The program also includes lessons on AI security controls, AI governance, and compliance and risk management. The certification course also features lessons on industry applications of AI security.
The CAISE certification course helps business owners by providing a trusted resource to train teams of any size in AI security. It serves as a comprehensive training manual for employees in companies that aim to capitalize on AI capabilities in different processes. The certification program empowers different teams to capitalize on hands-on skills in AI security to ensure safeguards against emerging threats.
There are no prerequisites for enrolling in the new artificial intelligence security certification program, as this program is open to anyone at any knowledge level. However, prior awareness of the fundamental concepts of artificial intelligence and cybersecurity practices can help you understand the lessons more easily.
There is no specific deadline to complete the new AI security certification course. It is a self-paced certification course that enables you to complete each lesson without rushing, thereby offering the benefit of personal pace and flexibility. We aim to ensure our learners cover all the modules without missing crucial topics or feeling stressed.
Anyone interested in AI security can enroll in the new AI security certification program, as it can benefit professionals in every industry. This program is a great resource for security professionals who wish to become certified AI security experts with specialization in AI system security and defenses against adversarial attacks. The certification course is also an ideal choice for AI practitioners, data scientists, developers, engineers, analysts, and consultants.
The AI security certification course serves as a reliable learning resource to gain hands-on expertise in AI security. You will learn about different types of threats to AI security while specializing in the best practices for creating AI security workflows and governance frameworks. The certification course gives you a structured learning resource to acquire skills that will give you a competitive advantage in the AI job market.
Every learner will get expert support with the Certified AI Security Expert certification course. 101 Blockchains has always been committed to delivering top support services to learners whenever they need them. You can reach out to our support team for course-related queries or technical issues, and get answers promptly.
Yes! our Premium learning plan includes access to the CAISE certification course. To gain unrestricted access to all of our training materials and certification courses in one platform, use the Premium learning plan.
Adversarial attacks and AI model security risks are the two main security threats in the AI environment. AI models can be specifically targeted by malicious actors for theft, illegal manipulation, or reverse engineering. Attackers can gain advantages from a slight alteration to the model’s architecture. Similarly, adversarial attacks use input data manipulation to take advantage of AI systems.
The most notable advantages of AI security include proactive threat detection with more accuracy. Artificial intelligence also enables faster incident responses, along with enhanced operational efficiency with optimized cybersecurity operations. AI security also helps in staying updated with emerging threats and improves the user experience without any impact on scalability.
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