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We can tailor your syllabus to take into account your group's current skills, technology stack, and specific learning goals - as part of a wider training programme or as a standalone workshop.
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"Excellent discussions [...] It was a pleasure to have a knowledgeable and friendly expert as instructor. The course exceeded my expectation and gave me lots to think about."
Microservices with Docker Training Course
VV, Principal Software Engineer
Virtual Instruments
"I liked the large number of hands-on exercises - I've picked up good practical knowledge of Docker."
Docker Training Course
MKJ, DevOps Consultant
EDW
"Excellent, really a deep dive into the world of Docker and K8s"
Kubernetes Training Course
NJ, Platform Service Manager
Cambridge University Press
"It gave a really good foundation on the principles of Docker and k8s. I think being able to do some hands on work while it was being explained was very useful and is helpful to make what has been learned, stick"
Kubernetes Training Course
SS, Software Engineer
Cambridge University Press
"Was exactly what I expected and I felt like the learning path was well done as it touched all the necessary topics"
Kubernetes Training Course
FB, Software Engineer
Cambridge University Press
Our instructor-led AI Ops training course will give you a high-level understanding of the benefits of designing and deploying data-driven monitoring and decision-making automation solutions to help you manage increasingly complex systems and architectures.
This introduction to AI Ops encompasses the fundamentals of data collection, analytics, machine learning and artificial intelligence to give you a head-start in building up your automation capabilities.
Remote / on-site options are available - as part of a wider training programme or standalone workshop, as a custom on-site course, and public scheduled courses in London.
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Standard duration: 2 Days
If you want to explore how you can tailor this course for your organisation, want to sign up for our newsletter, or have any other questions then please speak to us on 020 3137 3920 or get in touch using this form.