In today’s rapidly evolving technological landscape, machine learning models are no longer just experimental projects confined to research labs. They’ve become critical components of business operations, driving decisions in finance, healthcare, retail, and countless other industries. However, transitioning these models from development to production presents significant challenges—a gap that MLOps (Machine Learning Operations) specifically addresses. For professionals in the United Kingdom and London looking to future-proof their careers, understanding and implementing MLOps practices has become an essential skillset.
DevOpsSchool’s comprehensive MLOps training program offers a structured pathway to mastering this critical discipline. Designed for IT professionals, data scientists, and engineers, this course bridges the gap between theoretical machine learning and practical, scalable implementation. What sets this training apart is its direct applicability to real-world scenarios, equipping participants with hands-on experience using cutting-edge open-source frameworks and industry best practices.
What Exactly is MLOps and Why Should You Care?
MLOps represents the intersection of machine learning, data engineering, and DevOps practices. It’s a collaborative function that brings together data scientists, DevOps engineers, and IT professionals to streamline the process of taking machine learning models to production, then maintaining and monitoring them effectively. Think of it as the essential bridge between creating a promising model and actually making it work reliably in a live business environment.
The machine learning lifecycle is remarkably complex, involving numerous components:
- Data ingestion and preparation—collecting and cleaning data for model training
- Model training and tuning—developing and optimizing algorithms
- Model deployment—implementing models in production environments
- Model monitoring and explainability—tracking performance and understanding predictions
- Continuous improvement—iterating based on real-world feedback
Without proper MLOps practices, organizations struggle with version control issues, model decay (where performance degrades over time), collaboration barriers between teams, and inefficient resource utilization. This is why businesses across the UK are actively seeking professionals who can implement robust MLOps frameworks—to ensure their AI investments deliver consistent, reliable value.
Why DevOpsSchool Stands Out for MLOps Training
When choosing an MLOps training provider, several factors differentiate exceptional programs from mediocre ones. DevOpsSchool has established itself as a premier training platform through its comprehensive approach to professional education. Here’s what makes their program particularly valuable:
Unmatched Learning Resources and Support
DevOpsSchool doesn’t just offer a course—they provide a complete learning ecosystem designed for long-term success:
| Feature | DevOpsSchool Offering | Typical Other Providers |
|---|---|---|
| Technical Support | Lifetime access | Limited post-course support |
| Learning Management System | Lifetime LMS access | Temporary or limited access |
| Practical Components | Training + Additional Video Content + Real-Scenario Projects | Basic curriculum only |
| Career Preparation | Interview Kit (Q&A) + Training Notes + Step-by-Step Tutorials | Minimal career support |
| Tools Coverage | Comprehensive coverage of 26 essential MLOps tools | Limited tool exposure |
This holistic approach ensures that students not only learn MLOps concepts but also gain practical, job-ready skills that directly translate to workplace success. The inclusion of real-world projects means you’ll build a portfolio of work that demonstrates your capabilities to potential employers.
Expert Instruction with Industry Recognition
The quality of any training program depends significantly on its instructors. DevOpsSchool’s courses are governed 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 that the curriculum reflects current industry practices rather than just theoretical concepts.
The training faculty at DevOpsSchool maintains an average of 15+ years of industry experience, with instructors specifically possessing 16-20 years in the IT domain and 7-8 years of dedicated training experience. They’ve successfully guided over 8,000 certified learners and served 40+ corporate clients, earning an impressive average class rating of 4.5/5.0.
Comprehensive Training Structure for Every Learning Style
DevOpsSchool recognizes that professionals have different learning preferences and scheduling constraints. Their MLOps training accommodates these diverse needs through multiple delivery formats:
Online Interactive Training
Perfect for busy professionals across the UK, this format includes 35 hours of online live instructor-led classes conducted via platforms like Zoom and GoToMeeting. You can choose between:
- Weekend Classes: 9 sessions of 4 hours each
- Weekday Classes: 18 sessions of 2 hours each
Classroom Interactive Training
For those who prefer in-person learning, DevOpsSchool offers 7 days of classroom sessions:
- Weekend Classes: 7 sessions of 5 hours each
- Weekday Classes: Sessions of 3 hours each
Self-Paced Video Learning
If you need maximum flexibility, quality video recordings of course sessions are available. While these are a paid service, they’re offered at an affordable price and provide lifetime access to comprehensive learning materials.
Corporate Training Solutions
For organizations looking to upskill teams, DevOpsSchool offers tailored corporate programs with batch sizes of 15-30+ participants and customized durations based on specific learning objectives.
Investment Options and Pricing
DevOpsSchool offers transparent pricing for their MLOps certification training:
| Duration | Mode | Price (in Indian Rupees) |
|---|---|---|
| 8-12 Hours (Approx) | Self-learning using Video | ₹4,999 |
| 8-12 Hours (Approx) | Live & Interactive in Online Batch | ₹24,999 |
| 8-12 Hours (Approx) | One-to-One Live & Interactive Online | ₹59,999 |
| 2-3 Days (Approx) | Corporate (Online/Classroom) | Contact for Custom Quote |
Who Should Enroll in MLOps Training?
This comprehensive program benefits a wide range of technology professionals:
- DevOps Engineers looking to expand their skills into machine learning deployment
- Data Scientists seeking to move their models from experimentation to production
- Data Engineers wanting to build more robust data pipelines for ML systems
- ML Engineers aiming to formalize their deployment practices
- IT/Software Engineers transitioning to machine learning operations roles
- Business Analysts and Data Managers who need to oversee ML implementations
- Model Risk Managers and Auditors requiring deeper understanding of ML systems
While there are no strict prerequisites, participants with IT experience, operations background, or DevOps knowledge will find the concepts more readily applicable. Approximately 80-85% of the training focuses on hands-on exercises, ensuring practical skill development regardless of your starting point.
Career Prospects and Market Demand
The demand for MLOps professionals in the United Kingdom is substantial and growing. According to industry reports, the average salary for an MLOps Engineer in the UK is approximately £36,468 per annum, with significant potential for increase as professionals gain experience and additional certifications.
Organizations implementing MLOps practices benefit from:
- Reduced time to market for AI-driven products
- Enhanced user experience through timely model updates
- Higher quality predictions from better-managed models
- Increased efficiency for data engineers and scientists
- Reproducible workflows that ensure consistency and compliance
- Effective management of the complete machine learning lifecycle
Certification and Continuous Learning
Upon completion of the training, participants receive the MLOps Certified Professional certificate accredited by DevOpsCertification.co. This industry-recognized credential validates your expertise and enhances your professional credibility.
Beyond the certification, DevOpsSchool provides lifetime access to learning materials, including class recordings, presentations, notes, and step-by-step guides. This ongoing resource ensures you can refresh your knowledge as needed and stay current with evolving best practices.
For those requiring additional support, DevOpsSchool offers technical and job support on an hourly basis (approximately ₹2,000 per hour), helping you navigate specific workplace challenges or career transitions.
Getting Started with Your MLOps Journey
Enrolling in DevOpsSchool’s MLOps training is straightforward through their online gateway. Simply visit their website, select your preferred training format, and complete the payment process. They accept various payment methods including Google Pay/PhonePe/Paytm, NEFT/IMPS from all leading banks, debit/credit cards, and international options like Xoom and PayPal for USD payments.
If you miss any live sessions, you’ll have access to recordings through their Learning Management System, and you can attend missed sessions in subsequent batches within three months—ensuring you never fall behind in your learning journey.
Transform Your Career with MLOps Expertise
The intersection of machine learning and operations represents one of the most valuable skill sets in today’s technology landscape. As businesses across the United Kingdom increasingly rely on AI and ML systems, professionals who can bridge the gap between development and production will find themselves in high demand.
DevOpsSchool’s comprehensive MLOps training program offers more than just theoretical knowledge—it provides practical, applicable skills backed by industry-recognized certification and ongoing support. Whether you’re looking to advance in your current role, transition to a more specialized position, or lead your organization’s ML implementation strategy, this training provides the foundation you need for success.
Ready to master MLOps and advance your career?
Contact DevOpsSchool today to learn more about their training programs:
Email: contact@DevOpsSchool.com
Phone & WhatsApp (India): +91 84094 92687
Phone & WhatsApp (USA): +1 (469) 756-6329
Visit DevOpsSchool to explore their full range of certification programs and take the first step toward becoming an MLOps Certified Professional.