Learn to design, deploy, and govern enterprise-grade AI systems at scale. Our UK MLOps & AI Infrastructure course gives you the skills, hands-on practice, and creative and technical confidence to move beyond model building and focus on the complete AI lifecycle—from pipeline architecture and data infrastructure management to governance, security, and strategic AI operation leadership.
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This course is one of four courses in the AI & Machine Learning pathway, designed to help learners understand, build, and apply machine learning models in real-world contexts. You can take this course on its own, or complete the full pathway to deepen your understanding of machine learning concepts, model development, and applied AI techniques. More courses in this pathway:
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The total cost of this course is £2,500.
This course is for ML engineers, data scientists, technical managers, AI platform leaders, DevOps and infrastructure professionals, software engineers, and backend developers, located in the UK (and beyond), looking to expand their AI/ML expertise and who want:
This course works with any major AI platform. Use your existing account or free tiers from:
No premium subscriptions required—learn with the tools you already have.
✓ Live cohort learning: Learn with a structured group of professionals in the UK and across the globe who share your goals. Get real-time answers from expert instructors during live sessions.
✓ Comprehensive skill stack: Master the essential skills of production-grade pipeline architecture, model deployment and monitoring, and AI governance—developing hands-on capabilities with industry-standard tools to design, secure, and lead AI systems that scale.
✓ Hands-on practice: Learn through 17 hands-on lab hours with projects designed to help you build expertise in enterprise AI infrastructure with end-to-end MLOps mastery and strategic leadership capabilities.
✓ Workplace-relevant application: Learn the technical foundations of scalable pipeline design, model operationalisation, and infrastructure optimisation alongside the governance and strategic thinking that define modern AI leadership.
The global MLOps market is projected to grow from $2.2 billion in 2024 to $16.6 billion by 2030
(Source: Grand View Research, 2025)
The AI infrastructure market is estimated to grow from $23.5 billion in 2021 to $309.4 billion by 2031
(Source: Allied Market Research, 2023)
Software developer employment is projected to grow 15% the next decade
(Source: U.S. Bureau of Labor Statistics, 2025)
You'll leave this course with these MLOps and AI infrastructure skills:
“Getting exposure and time with our instructor and classmates meant we could get to know other industries and how they approach marketing problems. This course gave me the confidence in my decision to move to marketing.”
GA grad, Digital Marketing Short Course
This is an advanced-level course and learners should enter the course with a solid understanding of data analytics, cloud computing concepts, or basic programming logic, along with familiarity using collaborative tools such as GitHub or command-line interfaces in order to be successful. Students should have at least 2 years of prior experience with Python, SQL, or any cloud service (e.g., Google Cloud or AWS) or have prior educational practice with these concepts to be most successful.
Admissions requirements and recommended experience are explained in additional detail in the Student Catalog. Our Admissions team can discuss your background and learning goals to advise if this course is a good fit for you.
Key learning outcomes include:
Our Admissions team is here to help and can advise whether this course is right for you and your learning goals. You can also:
*Course modality options vary by location, pending market availability and eligibility. Please contact our Admissions team to discuss course eligibility and what version is available in your location.
