In the rapidly evolving world of artificial intelligence and machine learning, a significant challenge has emerged: bridging the gap between brilliant data science experiments and reliable, scalable production systems. This is where MLOps comes in—a transformative discipline that’s reshaping how organisations deploy and manage machine learning models.
If you’re a data professional in the United Kingdom looking to advance your career, understanding MLOps isn’t just beneficial—it’s becoming essential. This comprehensive guide explores how you can master MLOps through structured training and certification, specifically examining the offerings from DevOpsSchool, a leading platform for specialised IT training.
What Exactly is MLOps?
MLOps stands for Machine Learning Operations, a practice that combines machine learning, data engineering, and DevOps principles. At its core, MLOps focuses on streamlining the process of taking machine learning models from development to production and then maintaining and monitoring them effectively.
The MLOps Lifecycle Explained
The journey of a machine learning model involves numerous complex stages:
- Data ingest and preparation
- Model training and tuning
- Model deployment to production environments
- Continuous monitoring and maintenance
- Model explainability and governance
What makes MLOps particularly challenging is that it requires collaboration across multiple teams—data scientists, DevOps engineers, IT professionals, and business stakeholders—all working in synchrony. Without proper MLOps practices, organisations struggle with model reproducibility, deployment bottlenecks, monitoring gaps, and governance issues.
Why MLOps Skills Are in High Demand in the UK Job Market
The demand for MLOps professionals in the United Kingdom has surged dramatically as organisations recognise that building a great model is only half the battle—getting it to deliver value consistently in production is where real expertise matters.
Lucrative Career Opportunities
According to industry reports cited by DevOpsSchool, MLOps Engineers in the UK command an average salary of approximately €36,468 per annum. This figure often increases significantly with experience and additional specialisations. The role bridges critical gaps between data science and IT operations, making professionals with these skills highly valuable across industries including finance, healthcare, retail, and technology.
Who Should Consider MLOps Training?
MLOps training is particularly valuable for:
- DevOps engineers looking to expand into machine learning systems
- Data scientists wanting to deploy their models more effectively
- Data engineers responsible for ML pipelines
- ML engineers focused on production systems
- IT/Software engineers transitioning to ML-focused roles
- Business analysts and managers overseeing AI initiatives
Why DevOpsSchool Stands Out for MLOps Training
With numerous training options available, DevOpsSchool has positioned itself as a premier destination for MLOps education through several distinguishing factors:
Comprehensive Learning Experience
DevOpsSchool offers a complete ecosystem for skill development that goes beyond simple video tutorials:
| Feature | DevOpsSchool Offering | Typical Other Providers |
|---|---|---|
| Technical Support | Lifetime access | Limited post-training support |
| Learning Materials | Lifetime LMS access with updates | Time-limited access |
| Practical Experience | Real-scenario projects and hands-on labs | Theoretical focus |
| Career Support | Interview kits with Q&A and training notes | Minimal career guidance |
| Training Flexibility | Multiple formats (self-paced, live, one-to-one) | Limited format options |
Expert-Led Instruction
The quality of instruction makes a tremendous difference in technical training. DevOpsSchool emphasises that their trainers possess 16-20 years of experience in the IT domain, with 7-8 years specifically dedicated to training. These instructors have successfully guided over 800 training sessions, earning positive feedback for their clear explanations, patience in addressing doubts, and practical, hands-on teaching approach.
Training Flexibility for Bus Professionals
Recognising that professionals have different learning preferences and schedules, DevOpsSchool offers multiple training formats:
Online Interactive Training:
- 35 hours of live instructor-led classes
- Weekend option: 9 sessions of 4 hours each
- Weekday option: 18 sessions of 2 hours each
- Conducted via GoToMeeting, Zoom, or similar platforms
Classroom Interactive Training:
- 7 days of intensive classroom sessions
- Weekend option: 7 sessions of 5 hours each
- Available in major UK locations for groups
Self-Paced Learning:
- Quality video recordings of live sessions
- 8-12 hours of comprehensive content
- Affordable pricing for flexible learning
Detailed Course Structure and Curriculum
The MLOps training program at DevOpsSchool is designed to transform participants from traditional IT professionals into qualified MLOps engineers. The curriculum covers both theoretical foundations and practical applications.
Core Learning Objectives
Participants will master:
- MLOps tools, techniques, and best practices for end-to-end ML system management
- Model deployment strategies for production environments
- Monitoring and maintenance of production ML systems
- Open-source MLOps frameworks that are industry-standard
- Continuous integration and deployment (CI/CD) practices specific to machine learning
Practical Skill Development
Approximately 80-85% of the training focuses on hands-on exercises, ensuring participants gain practical experience with:
- Real-world scenario implementation
- Industry-standard tools and platforms
- End-to-end project development
- Troubleshooting common MLOps challenges
Certification and Career Advancement
Upon completion of the training, participants receive the MLOps Certified Professional certification from DevOpsSchool, accredited by DevOpsCertification.co. This industry-recognized credential validates your expertise and enhances your professional credibility.
Beyond the Certification
The training provides comprehensive career support including:
- Interview preparation kits with common questions and answers
- Resume guidance tailored to MLOps roles
- Project portfolio development through real-scenario assignments
- Job update notifications through dedicated portals
- Lifetime access to learning materials for ongoing skill enhancement
Corporate Training and Consulting Solutions
For organisations looking to upskill their teams, DevOpsSchool offers specialised corporate training programs that can be customised to specific business needs:
Corporate Training Features
- Batch sizes of 15-30+ participants
- Flexible duration (typically 1 month or longer based on requirements)
- Highly experienced trainers with 16-20+ years in IT
- Multiple delivery formats (online, classroom, or hybrid)
- Customised content aligned with organisational objectives
Corporate Consulting Services
For businesses needing strategic guidance, DevOpsSchool provides MLOps consulting services where experienced consultants work closely with management to:
- Improve operational effectiveness of ML systems
- Implement best practices across teams
- Address specific technical challenges
- Develop long-term MLOps strategies
Investment and Enrollment Options
DevOpsSchool offers transparent pricing for their MLOps training programs:
| Training Format | Duration | Price | Best For |
|---|---|---|---|
| Self-Paced Video Learning | 8-12 hours | £4,999 | Professionals needing maximum flexibility |
| Live Online Batch | 8-12 hours | £24,999 | Those preferring structured, interactive learning |
| One-to-One Online | 8-12 hours | £59,999 | Individuals needing personalised attention |
| Corporate Training | 2-3 days | Custom Quote | Organisations training multiple employees |
Flexible Payment Options
DevOpsSchool accepts multiple payment methods including:
- Google Pay, PhonePe, Paytm
- NEFT or IMPS from all leading banks
- Debit and credit cards
- Xoom and PayPal for international payments
- Direct payment through their website gateway
Frequently Asked Questions About MLOps Training
What are the prerequisites for MLOps training?
While there are no strict prerequisites, IT experience, operations background, or DevOps knowledge is recommended to get the most from the training.
Can I access materials if I miss a live session?
Yes, DevOpsSchool provides 24/7 access to all learning materials through their Learning Management System (LMS), including class recordings, presentations, notes, and step-by-step guides. Participants can also attend missed sessions in subsequent batches within 3 months.
What kind of technical support is available after training?
DevOpsSchool offers lifetime technical support to all participants, a significant advantage over providers who limit post-training assistance.
Does the training guarantee job placement?
While DevOpsSchool doesn’t directly guarantee employment, they provide substantial career support including interview preparation, resume guidance, and job update notifications through their dedicated portals, significantly improving employment prospects.
What system requirements are needed for the training?
Participants need a Windows/Mac/Linux PC with minimum 2GB RAM and 20GB HDD storage. Most hands-on exercises can be completed using AWS free tier accounts or virtual machines.
The DevOpsSchool Advantage: Why This Training Stands Out
Several key factors differentiate DevOpsSchool’s MLOps training from other offerings:
Industry-Leading Expertise
The program is developed and mentored by Rajesh Kumar, a globally recognized trainer with over 20 years of expertise in DevOps, DevSecOps, SRE, DataOps, AIOps, MLOps, Kubernetes, and Cloud technologies. This depth of experience ensures the curriculum reflects real-world challenges and solutions.
Proven Track Record
With 8,000+ certified learners, 40+ happy corporate clients, and an average class rating of 4.5/5.0, DevOpsSchool has demonstrated consistent success in delivering high-quality technical education.
Comprehensive Learning Ecosystem
Beyond the core training, participants benefit from:
- Lifetime access to updated materials
- Real-scenario projects for practical experience
- Step-by-step tutorials for complex concepts
- Training slides and notes for ongoing reference
- Exam preparation materials for certification success
Taking the Next Step in Your MLOps Journey
The transition to MLOps represents one of the most significant career advancement opportunities in today’s technology landscape. As organisations increasingly recognise that model development is only the beginning of the machine learning value chain, professionals who can bridge the gap between data science and production operations will find themselves in high demand.
Whether you’re a data scientist tired of seeing your models languish in development, a DevOps engineer looking to expand into machine learning systems, or an IT professional seeking to future-proof your skillset, MLOps training offers a pathway to more impactful work and greater career opportunities.
DevOpsSchool’s comprehensive program provides the structured learning, practical experience, and expert guidance needed to make this transition successfully. With flexible learning options, lifetime resources, and industry-recognized certification, it represents a valuable investment in your professional future.
Ready to Transform Your Career with MLOps?
Contact DevOpsSchool today to begin your journey:
Email: contact@DevOpsSchool.com
Phone & WhatsApp (India): +91 84094 92687
Phone & WhatsApp (USA): +1 (469) 756-6329
Visit the MLOps training page for detailed course information, schedules, and enrollment options. Take the first step toward mastering the skills that will define the next generation of machine learning implementation and management.
