Unit 4: ML SecOps Fundamentals
Bridge the gap between Data Science and Security. Master the defense of AI systems against adversarial attacks, model poisoning, and drift, while securing the MLOps pipeline.
Secure your seat
Join the elite innovation cohort.
Legacy of 21 Years of Excellence
A structured 6-week journey to transform into a production-ready backend engineer.
Foundation & Core Skills
Building the bedrock of backend engineering.
Module 1: ML Threats & Attacks
Master the core concepts of ML Threats & Attacks.
Topics Covered
Module 2: Model Monitoring & Integrity
Master the core concepts of Model Monitoring & Integrity.
Topics Covered
Module 3: Secure MLOps Infrastructure
Master the core concepts of Secure MLOps Infrastructure.
Topics Covered
Module 4: Governance & Compliance
Master the core concepts of Governance & Compliance.
Topics Covered
Why This Program?
As AI adoption grows, securing the model and the pipeline becomes critical for enterprise compliance and safety.
Project-Based Learning
Don't just watch tutorials. Build a complete infrastructure from scratch.
1:1 Mentorship
Weekly code reviews with Senior Engineers from top tech firms.
Career Ready
Mock interviews and resume building workshops included.
Modern Stack
Master the latest tools and AI-driven workflows.
Tools & Technologies
Master the stack used by top companies.
Course Fees & Eligibility
Simple, transparent pricing. No hidden fees.
Tuition Fees
+ Applicable Taxes
EMI Options
Starting ₹4,999/mo
Security
SSL Encrypted
Who Should Apply?
Prerequisites
Hands-on experience with cloud infrastructure (AWS/Azure/GCP), solid cybersecurity foundation, strong networking knowledge, and familiarity with Infrastructure as Code.
Target Audience
Security Engineers, Data Scientists, and MLOps Engineers.
Ready to master Unit 4: ML SecOps Fundamentals?
Talk to a career advisor to explore how this 6-week program can advance your career in Cybersecurity for Professional.