Courses

We offer a number of standard training options which are offered as a hybrid delivery method. We can either come to your place (office, marae, other place) or online.

In addition to our standard in house training courses below, we offer custom training to meet your board or organisations individual requirements. Please contact us to discuss.

Our standard courses are below:

Course 1: Foundations of Artificial Intelligence

Hours: 5
Cost: $350 plus GST per person with a minimum of 10 people.

Description: Online and in person at your office. This custom AI fundamentals training package has been created by Māori for Māori, and leverages our extensive industry experience and collective mātauranga.

It consists of 4 leanings modules:

  • Module 1: Introduction
  • Module 3: Māori AI and Data Governance
  • Module 3: AI and Papatūānuku
  • Module 4: Prompting and Productivity Tools

Utilising deep insights gained from decades of experience in Māori tech, mainstream tech, Academia and NZ business, we have developed robust foundational training content that has been adapted for Māori organisations and communities in Aotearoa NZ. Importantly, this course has been designed by Māori and will therefore be delivered looking through a Te Ao Māori lens. This course is high level and designed for anyone who has little to no knowledge of AI.

Course 2: AI Governance for New Zealand Boards, with a Kaupapa Māori interwoven

Hours: 6
Cost: $1800 plus GST per person. A minimum of 5 people.

Description: On premises. This course consists of 6 Pou and is bespoke for New Zealand governance boards, iwi trusts, marae, hapū and Māori governors.

 

Pou Tahi

  • Introduction to AI Governance
  • Introduction to Māori Data Governance

Pou Rua

  • Basic Concepts of AI Security – Risk and Audit Perspective
  • AI Risk Tools and Frameworks

Pou Toru

  • AI Frameworks and Principals (NZ and International) including OECD, FIP,UNESCO, UN, ISO, NIST,IEEE, AI Act, GDPR, FATE
  • Responsible AI Policies

Pou Whā

  • Determining the system architecture. Selecting an AI model
  • Deploying AI (A governance view)

Pou Ono

  • Administering & Governing Agentic AI
  • Agentic AI and Foundation Models Governance