Course Overview
As organisations scale AI adoption, securing the full AI lifecycle becomes critical. From data ingestion and model training to deployment and monitoring, each stage introduces unique risks that can impact model integrity, reliability, and trust.
This programme focuses on securing AI pipelines and MLOps environments, including model training security, AI supply chain risks, software bill of materials (SBOM) for AI, deployment hardening, and monitoring for model abuse. Participants gain a structured understanding of how to protect AI systems end-to-end.
Delivered as a mentor-led programme using practical scenarios, this course equips participants to design secure AI pipelines, implement controls, and ensure resilience against emerging threats in production environments.
Hands-On Learning
Secure pipeline design labs, threat modelling exercises, and MLOps security scenarios.
Mentor-Led Sessions
Mentors guide secure architecture design, risk analysis, and real-world AI security challenges.
Career-Ready Skills
Develop secure AI pipeline and MLOps protection expertise.
Learning Outcomes
Analyse risks across AI pipelines
Design secure MLOps architectures
Implement controls for training and deployment
Evaluate AI supply chain vulnerabilities
Communicate security strategies and risks
Lead secure AI system implementation
Prerequisites
Experience with AI, ML, or data systems.
Basic understanding of cybersecurity principles.
Familiarity with cloud or DevOps environments.
Detailed Syllabus
Step-by-step learning journey from basics to professional practice
Topics Covered
- Introduction to AI pipeline security
- Programme scope and setup
Skills You'll Gain
Master these in-demand skills through hands-on practice
Career Progression
A clear view of the roles this programme supports, what typically comes next, and where learners progress over time
Ways to Learn
Choose the learning format that works best for you and your team
Live Online
Instructor-Led Training
Join live instructor-led sessions from anywhere. Interactive, engaging, and flexible.
- Live instructor interaction (real-time)
- Trainer-led walkthroughs and real examples
- Guided resources and session notes provided
- Structured Q&A and practical discussion
Price per person
Group enrolments and early planning options available.
All prices are exclusive of VAT where applicable. Group enrolments and custom packages available on request.
Prefer a Faster, Personalised Route into IT?
Not everyone learns best in a group. If you want focused guidance, faster clarity, and confidence you can use on the job, our 1-to-1 Fast-Track Training gives you private, mentor-led support tailored to your experience and goals.
"Many learners choose 1-to-1 when they want understanding, not memorisation."
Exam & Certification Information
Everything you need to know about the certification exams
Important Information
You will receive an Xcademia certificate of completion based on participation and successful completion of labs and scenario simulations.
Credential
Certificate of Completion
On successful completion of Securing AI Pipelines & MLOps, learners receive an Xcademia Certificate of Completion. This standalone certificate is issued directly by Xcademia and is aligned with globally recognised frameworks and best practices.
Frequently Asked Questions
Everything you need to know about this course
AI engineers, security professionals, and DevOps practitioners working with AI systems.
Ready to Start Your Learning Journey?
Take the next step in your professional development