Hands-On MLSecOps: Secure AI Operations
In This Intensive Program You Will:
Architect and implement secure MLOps pipelines
Identify and mitigate security risks specific to AI/ML models and data.
Secure ML infrastructure (cloud/on-prem)
The advanced skills and expertise to secure machine learning operations using continuous threat detection, model hardening techniques, and proactive security practices tailored for the end-to-end AI development and deployment pipeline.
£13,999
£12,999
Duration
16 Weeks
Learning
8hrs/ Day
Starts
09TH JUN 2025
Delivery
Remote ILT/LABS
FULL TIME SCHEDULE
Classes run Monday-Friday, 9.30 am - 2.30 pm for 16 weeks. Learners needs to be able to attend at least 90% of these sessions, and you'll be required to undertake around 3 hours of independent self-study per day outside of class times.
PART TIME SCHEDULE
Classes run Monday-Friday, 6 pm - 9 pm for 24 weeks. Learners needs to be able to attend at least 90% of these sessions, and you'll be required to undertake around 3 hours of independent self-study per day outside of class times.
| TIME | ACTIVITY |
|---|---|
| 9:30am - 10:30am | Class Intro: Individual & Team Readiness Assurance Tests |
| 10:30am - 12:00pm | Deep Dive: Instructor Lead Lecture |
| 12:00pm - 12:30pm | Lunch Break |
| 12:30pm - 2:00pm | Team Based Practical Project: With Instructor Guide |
| 2:00pm - 2:30 pm | Project Presentations To Class |
TYPICAL DAY IN A FULL TIME SESSION
| TIME | ACTIVITY |
|---|---|
| 6:00pm - 6:30pm | Class Intro: Individual & Team Readiness Assurance Tests |
| 6:30pm - 7:30pm | Deep Dive: Instructor Lead Lecture |
| 7:30pm - 8:30pm | Team Based Practical Project: With Instructor Guide |
| 8:30pm - 9:00pm | Project Presentations To Class |
TYPICAL DAY IN A PART TIME SESSION
FULL TIME
Application Deadline: 09th May 2025
Cohort Start Date: 09th June 2025
Course End: 19th September 2025
09 Jun
FULL TIME
Application Deadline: 01th Aug 2025
Cohort Start Date: 01st Sep 2025
Course End: 21st December 2025
01 Sep
COHORT START DATES
FULL TIME
Application Deadline: 02nd January 2026
Cohort Start Date: 02nd February 2026
Course End: 22nd May 2026
02 Feb
PART TIME
Cohort Start Date: 09th June 2025
Course End: 21st November 2025
09 Jun
PART TIME
Cohort Start Date: 02nd Feb 2026
Course End: 17th July 2026
02 Feb
PART TIME
Cohort Start Date: 01th Sep 2025
Course End: 12th February 2026
01 Sep
Intensive Hands-On Bootcamp
We offer personalised 1:1 support whenever you require it.
FUll TIME
Complete in 16 Weeks
PART TIME - 24 WEEKS
Job ready skills application through hands on Labs and Projects. 1 Month After Course Lab Access
In-class participation — collaborate primarily in real time with fellow students and instructors.
Phase 1: Foundation & Theory
Phase 2: Hands-On Practical Workshops
Phase 3: Advanced Projects & Specialization
Phase 4: Career Support & Transition: Career development workshops (CV building, LinkedIn optimization, portfolio review).
Post-course Support & Alumni Engagement
Intensive Bootcamp Course Delivery
PROGRAM SPOTLIGHT
Comprehensive Secure AI Operations Knowledge
This bootcamp delivers an in-depth exploration of securing machine learning operations, with a strong focus on MLSecOps best practices. Participants will develop hands-on skills to integrate security across the ML lifecycle, from data ingestion to model deployment.
MLSecOps: Secure AI Operations Bootcamp
Through hands-on labs and real-world scenarios, you’ll gain practical expertise in securing ML models against adversarial attacks, data poisoning, and model leakage. Learn to implement continuous security monitoring, model governance, and vulnerability management across MLOps workflows.
Foundation To Expert
By completing this bootcamp, learners have acquired critical expertise in securing machine learning operations across the AI lifecycle. They are now equipped to identify and mitigate operational risks, integrate security into ML pipelines, and implement MLSecOps strategies that ensure the integrity, compliance, and resilience of AI systems in production environments.
Module 1: The MLSecOps Landscape
Module 2: Secure Foundations for ML
Module 3: Securing the MLOps Pipeline
Module 1: The MLSecOps Landscape
Module 2: Secure Foundations for ML
Your Learning Path
Implement robust monitoring and incident response for AI/ML systems.
Perform vulnerability assessments and threat modeling for ML applications.
Apply relevant GRC frameworks and ethical considerations to AI/ML projects.
Implement robust monitoring and incident response for AI/ML systems.
Perform vulnerability assessments and threat modeling for ML applications.
What You Will Gain
Hands-On MLSecOps: Secure AI Operations Bootcamp
Bootcamp Outcomes
Completing the MLSecOps: Secure AI Operations Bootcamp provides a competitive edge in managing secure AI deployments, offering hands-on experience in securing ML pipelines and addressing risks.
Tuition Financing With 1X1 Institute
FULL TUITION
Full Tuition for this is intensive course: £12,999. A single, simple upfront payment. Perfect for those who are ready to invest in their future right away.
INSTALLMENT PAYMENT
LEARN MORESpread the cost of your tuition fee over a 6, 12, 24, or 36 month period
Installment Payment Plan
FUTURE EARNINGS AGREEMENT
LEARN MORERepay 13% of your gross salary once you've graduated and are earning over £25,000.
Explore our Financing Page for details.
TRAINING LOAN
LEARN MOREAccess a training Loan from our Training Loan Partner with variable interest rates over 2-3 years. Explore our Financing Page for details.
Enroll in courses
meant to prepare you for the job market and make you highly desirable to leading companies! Whether your aspirations involve becoming a tech expert or a visionary creator, our courses offer you a direct route to achievement.
@1x1 Institute
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