Certified AI Security Expert (CAISE) ™
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Pursue a promising Career Path with the Certified AI Security Expert certification program
Discover the most effective hands-on training to enhance your AI security skills with our new AI security certification course.
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Achieve an in-depth understanding of LLM security, adversarial machine learning, and advanced safety mechanisms.
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Gain skills to create robust workflows, deploy governance frameworks, and implement security controls in AI systems.
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Acquire hands-on understanding of global regulations, AI risk management, and responsible AI practices to become AI security leaders.
Expand your AI expertise with hands-on skills in AI security
The rising adoption of artificial intelligence has pushed society further than ever before, making AI the most influential technological advancement to date. However, there is another side to this amazing revolution, an alarming rise in the exploitation of AI systems and models. The growth of generative AI tools has led to a massive increase in the number of phishing attacks, making organizations vulnerable and helpless without AI security professionals who can utilize AI-powered tools to safeguard their business.
Without a certified AI security professional in every organization, you cannot expect strong resistance against emerging security threats. AI security experts with the right credentials can use more than just AI-powered security tools; they can implement relevant workflows and governance mechanisms to ensure ultimate security. In addition, certified security professionals can optimize processes and verify seamless integration of security controls.
Our new certification course on AI security aims to help learners discover a practical resource that will empower their skills in AI security and prepare them for real-world AI threats. The course not only teaches you how AI security works but also offers you the opportunity to hone your hands-on AI security skills. Each module in the certified AI security expert certification course delivers comprehensive training in topics required to become AI security leaders.
In this program, you will learn about LLM security, adversarial machine learning, and different types of security risks for AI systems. On top of it, the certification course offers lessons on designing robust workflows, integrating security controls, and implementing governance frameworks for AI security. Learners will also familiarize themselves with global regulations, responsible AI practices, and AI risk management to make sure their AI security knowledge is real-world ready.
WHAT YOU WILL LEARN?
BUILD YOUR IDENTITY AS A CREDIBLE AI SECURITY EXPERT WITH KNOWLEDGE OF…
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The basic concepts of artificial intelligence and cybersecurity
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A fundamental introduction to AI security
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An overview of adversarial machine learning
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Insights on LLM security and attacks like prompt injection
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Essential AI security controls and safety mechanisms
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Best practice for governance, compliance, and risk management in AI
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Use cases and applications of AI security across different industries
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Advanced concepts in AI security and a capstone project
ENHANCE YOUR AI SECURITY SKILLS TO BECOME JOB-READY BY…
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Achieving a practical understanding of AI system protection and safeguards against adversarial attacks to become credible security professionals
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Learning how to project AI pipelines, LLMs, and machine learning models in the role of data scientists and AI practitioners
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Specializing in enterprise AI adoption, compliance, and strategy best practices required for business analysts and consultants
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Acquiring hands-on fluency in AI security tools, defense controls, and red teaming to enhance your work 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
HANDS-ON AI SECURITY TRAINING IN ONE CERTIFICATION COURSE- WHO SHOULD JOIN?
Anyone interested in enhancing their AI career
Security professionals in any industry
Data scientists and AI practitioners
Developers and engineers
Business analysts and consultants
PROVE YOUR AI SECURITY SKILLS WITH A TRUSTED CERTIFICATION PROGRAM- CLOSE THE SKILL GAP
The Certified AI Security Expert certification course is a comprehensive resource that helps you build practical expertise in AI security. Learners will learn about the different types of risks to AI security and the best practices for resolving them. The emphasis on hands-on training in the certification course empowers you with the skills needed to solve real-world problems.
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Course Presentation
Download the course presentation for the convenient access anywhere, anytime.
Additional Lectures
Gain access to complimentary additional lectures and enhance your understanding.
Join Online Events
Learn from industry experts in AI and enhance your knowledge.
What Our Students Say
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I discovered the potential of ChatGPT for my purposes
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Industry Analyst
I wanted to gain prompt engineering skills and FSA gave me just that
“Prompt engineering is such a crucial skill nowadays that I had to sharpen my skill set and get some experience using it. I don’t work in a company that focuses on AI but I still found it so useful in my everyday work. The prompt engineering course was comprehensive, well-structured, easy to understand, and practical, so it worked very well for me. I recommend FSA and I will use this platform again in the future.”
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Marketing Director
Certified AI Security Expert Certification Course FAQs
Yes! The Certified AI Security Expert certification is accredited by the CPD organization. The accreditation proves your dedication and commitment to learning a new technology and pursuing professional development in the evolving field of AI and ChatGPT.
The certified AI security expert certification program is a comprehensive tool that teaches you AI security from scratch and includes lessons on the fundamental concepts of AI, cybersecurity, and AI security. You will also find lessons on adversarial machine learning and LLM security in the course. On top of it, the course also sheds light on AI security controls, governance frameworks, compliance, and risk management.
You don’t have to fulfill any condition to enroll in the new certification course on AI security. However, candidates with prior knowledge of AI and cybersecurity will have an easier time learning the concepts covered in the course.
Anyone who wants to become a certified AI security expert is the ideal candidate for this certification covering AI security. Developers and engineers, security professionals, business analysts, and consultants are some of the top candidates for this certification course. AI practitioners and data scientists can also benefit greatly from the new certification program on AI security.
The new artificial intelligence security certification will help your career by providing a practical guide and a specialization in AI security. You can use your AI security expertise to deliver more value in different roles, especially in the AI market. The adoption of AI systems in almost every industry creates new career opportunities for certified AI security experts, and this certification can help you become one.
Learners don’t have to worry about any deadlines with our new certification course on AI security. You can focus on becoming a certified AI security professional with ease by completing each module of the certification course at your own pace. We believe that flexibility is an important aspect when you try to master new skills, which is why all of our courses are self-paced.
The CAISE certification course helps business owners by providing a trusted resource for them to train their teams in AI security. With the new certification program, business owners can prepare for AI adoption without the fear of security threats. On top of it, the certification also empowers learners with hands-on skills that can transform employees into sentinels of AI security for an organization.
Yes, Future Skills Academy offers expert support to all learners in the certified AI security expert certification course. You can reach out to our support teams for queries regarding topics in the certification program or technical issues in accessing the program. We are always committed to delivering immediate support to all learners and making their learning experiences more productive.
Yes. The Future Skills Academy Premium learning plans offer unlimited access to the new certification course on AI security, as well as all the other certifications. You can utilize the FSA Premium plan to gain unrestricted access to all the courses and certification programs in our library.
Implementation of AI security requires comprehensive planning and assessment of your risk and compliance requirements, followed by securing data pipelines. The next steps in AI security include data access control and automation of threat detection and response mechanisms. You should also pay attention to regular training and updates for teams to help them familiarize themselves with new trends in AI security.
The best practices in AI security focus on maintaining a proactive attitude towards risk management and ensuring data security. You should also focus on learning and implementing responsible AI practices alongside monitoring access control at every step. On top of it, regular tuning and updates of AI models play a major role in safeguarding them against vulnerabilities.
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