Certified Trustworthy GenAI Specialist (CT-GENAI) Certification Program by Tonex
The Certified Trustworthy GenAI Specialist (CT-GENAI) program empowers developers, engineers, and product managers to design, develop, and deploy generative AI systems that are trustworthy, secure, and aligned with ethical and operational goals. This course focuses on safeguarding against common risks such as prompt injection, hallucinations, and misuse of AI-generated outputs.
It highlights practices that enhance reliability, explainability, and monitoring of generative models. Participants will also learn how to integrate human feedback and employ red-teaming techniques for robust validation. With a strong emphasis on cybersecurity implications, this program equips professionals to defend against vulnerabilities unique to generative AI systems and implement effective controls.
Learning Objectives:
- Understand vulnerabilities specific to LLMs and generative AI
- Design robust retrieval and filtering architectures
- Implement prompt injection defenses and output sanitization
- Mitigate hallucinations, overreliance, and jailbreaking risks
- Apply explainability and monitoring strategies for generative outputs
- Integrate human feedback and conduct LLM red-teaming effectively
Target Audience:
- Cybersecurity professionals
- LLM developers
- GenAI product managers
- MLOps engineers
- QA testers
Program Modules:
Module 1: OWASP LLM Vulnerability Deep Dive
- Overview of OWASP Top 10 for LLMs
- Data poisoning attacks
- Overfitting and leakage risks
- Supply chain vulnerabilities in LLMs
- Inference-time attacks and abuse
- Secure development lifecycle for LLMs
Module 2: Trustworthy RAG Architecture
- Fundamentals of RAG (Retrieval Augmented Generation)
- Building robust retrievers
- Implementing guardrails for content control
- Query and context filtering techniques
- Handling untrusted data sources
- Security best practices for RAG systems
Module 3: Prompt Injection Protection and Output Filtering
- Types of prompt injection attacks
- Designing safe prompt templates
- Context sanitization strategies
- Output moderation techniques
- Escaping jailbreak scenarios
- Continuous testing and validation of prompts
Module 4: Managing Hallucinations, Jailbreaks, and Overreliance
- Identifying hallucination patterns
- Preventing overconfidence in outputs
- Countering jailbreaking methods
- Confidence scoring and uncertainty modeling
- Educating users to detect faulty outputs
- Policy and workflow adjustments for mitigation
Module 5: Logging, Monitoring, and Explainability for Generative Outputs
- Importance of audit logs in GenAI systems
- Real-time monitoring of AI behavior
- Explainable AI techniques for outputs
- Detecting anomalies in generation patterns
- Alerting and escalation workflows
- Ensuring compliance through transparency
Module 6: Human Feedback Integration & LLM Red Teaming
- Role of human-in-the-loop in GenAI
- Designing effective feedback loops
- Conducting adversarial testing
- Organizing red-teaming exercises
- Addressing ethical concerns through feedback
- Post-deployment testing and improvement
Exam Domains:
- Principles of Trustworthy AI Design
- Generative AI Threat Landscape and Risk Management
- Governance, Ethics, and Compliance in GenAI
- Red Teaming and Adversarial Evaluation
- Monitoring, Incident Response, and Forensics
- Human-AI Collaboration and Continuous Improvement
Course Delivery:
The course is delivered through a combination of lectures, interactive discussions, and expert-led workshops. Participants will also access online resources, including readings, case studies, and tools to apply learned concepts effectively.
Assessment and Certification:
Participants will complete quizzes, assignments, and a final project. On successful completion, a Certified Trustworthy GenAI Specialist (CT-GENAI) certificate will be awarded.
Question Types:
- Multiple Choice Questions (MCQs)
- Scenario-based Questions
Passing Criteria:
To pass the Certified Trustworthy GenAI Specialist (CT-GENAI) Certification Training exam, candidates must achieve a score of 70% or higher.
Join the CT-GENAI certification today to become a leader in building secure and reliable generative AI systems. Take the next step toward safeguarding innovation with confidence and trustworthiness.