Dunedin is the principal city in the Otago Region and is the second largest city in the south island. The population of Dunedin is around 240,000 people. Dunedin’s largest industry is tertiary education and is home to the University of Otago and Otago Polytechnic. The University of Otago is New Zealand’s oldest university and has over 21,000 students enrolling each year. The University of Otago opened in July 1871. The University offers a wider range of courses than other Universities so it attracts a lot more students. The University is divided into 4 main divisions which are; Division of Humanities, Health Sciences, Sciences and Business. The University is one of only two Universities in New Zealand that offer a degree in Dentistry. The University has campuses in Auckland and Wellington and the medical schools have a campus in Christchurch. The University also makes use of the Portobello Marine Laboratory in Otago Harbour. The University produced many notable people such as, John Carew Eccles who received a Noble Prize for his work on the brain and Robert Stout who became the Prime Minister of New Zealand. The Otago Polytechnic has around 4000 students either studying full or part time. The Otago Polytechnic was established in 1889. In 1966 the original school split into a secondary school and Otago Polytechnic which opened in 1966. There are campuses in Dunedin, Otago and Auckland. The Dunedin campus houses the schools of Architecture, Building and Engineering and natural sciences.
CloudFlare Training Course in Dunedin
CloudFlare Training in Dunedin helps learners understand CloudFlare as a content delivery network (CDN) and web security platform. Professionals develop skills in CDN configuration, performance optimisation, DDoS protection, web application firewall (WAF), and troubleshooting.
- Gain in-depth knowledge about the workings of Cloudflare with our Cloudflare Training.
- Get familiar with firewall actions to handle HTTP requests that match the rule expression.
- Understand how Cloudflare generates bot scores for identifying automated traffic.