AI Security
Master Adversarial Machine Learning, LLM Protection, AI Red Teaming, and Secure AI System Design
- 50 Hours of Online Live AI Security Training with Hands-On Labs and Red Teaming Exercises
- Certificate of Completion awarded upon successful course completion
- Covers adversarial ML, LLM security, AI governance, model protection, and end-to-end AI lifecycle security
Online
Mode of Delivery
50 Hours
Course Duration
₹41,300 (Inc. GST)
Course Fee
4th July, 2026
Batch Start Date
What you'll learn
- Understand how AI and ML systems differ from traditional software and identify unique AI attack surfaces.
- Detect and defend against adversarial machine learning attacks including evasion, poisoning, and model extraction.
- Secure AI datasets, training pipelines, APIs, cloud infrastructure, and deployed inference endpoints.
- Protect large language models from prompt injection, jailbreaks, data leakage, and misuse.
- Perform structured AI security assessments and design secure, compliant, and trustworthy AI systems aligned with global frameworks.
Skills you'll gain
AI Threat IdentificationAdversarial Machine Learning DefenseData Poisoning DetectionModel Extraction PreventionLLM Security & Prompt HardeningAI API SecurityThreat Modeling for AI SystemsAI Risk AssessmentAI Governance & Compliance MappingAI Red Teaming & Security TestingSecure AI Architecture DesignEnd-to-End AI Lifecycle Security
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Comprehensive AI Lifecycle Security Coverage
Covers data security, adversarial ML, API protection, LLM security, governance, and red teaming in one structured program.
Hands-On Adversarial and Defensive Training
Perform practical adversarial attacks while learning mitigation strategies and secure AI system design.
LLM and Modern AI Risk Focus
Gain exposure to prompt injection, jailbreak techniques, RAG risks, hallucination threats, and guardrail implementation.
Governance and Compliance Integration
Align AI systems with NIST AI RMF, ISO standards, EU AI Act principles, and responsible AI frameworks.