Wellington is the capital city of New Zealand and the second most populous city in New Zealand. Wellington has around 393,600 inhabitants. Wellington is the world’s southernmost capital city of a sovereign state. Wellington has a variety of institutions for students to attend. Victoria University of Wellington is the main University in Wellington. It has a population of around 22,000 students, with a lot of those being international students. The Victoria University of Wellington was established in 1897 by act of parliament and was named after Queen Victoria, as this was the 60th year of her coronation. It is very well known for its programs in Law, Humanities and Sciences. The University has 9 faculties such as, Education, Engineering, Science, Law, Humanities and Social Sciences. The University has produced some notable alumni such as Sir Michael Fay who is the third richest man in New Zealand and Sir Thomas Eichelbaum who is the former Chief Justice of New Zealand. Another institute in Wellington is The New Zealand School of Music which is joint to Victoria University of Wellington and Massey University. The New Zealand School of Music offers degrees in Classical Performance, Jazz Performance, Music Studies, Composition and Sonic Arts. The Wellington Institute of Technology is another institute found in Wellington which was established in 1904. The Institute houses over 8000 students a year and offers 140 courses in departments such as Business, Information Technology, Visual Arts, Counselling and Engineering. Toi Whakaari is New Zealand’s National Drama School located in Wellington. The school offers training to students in acting, directing, costume design, entertainment, performing arts management and design. Toi Whakaari houses up to 150 students a year and host 20 live shows a year.
Kubeflow Training | DevOps in Wellington
Kubeflow Training in Wellington equips learners to build machine learning pipelines effectively. They understand workflow orchestration, identify model deployment needs, use Kubernetes procedures, and follow ML rules. The training improves AI operations and strengthens scalable machine learning quality.
- Gain a deep understanding of Kubeflow to customise resulting configuration files.
- Get familiar with the Kubeflow pipelines for building and deploying ML workflow.
- Acquire lucrative skills to run Kubeflow on Amazon Web Services and Google Cloud.