Smart Analytics, Machine Learning, and AI on Google Cloud Training in New Zealand

  • Delivery Method: Online Instructor-Led / Classroom Based / Onsite
  • Participation Model: Public Training / Private / In-House Training
  • Duration: 1 Day
  • Level: Intermediate
  • Price: From NZD 2,800 +TAX
  • Upcoming Date:
  • UK & New Zealand Based Global Training Provider

Incorporating machine learning into data pipelines increases the ability to extract insights from data. This course covers ways machine learning can be included in data pipelines on Google Cloud. For little to no customization, this course covers AutoML. For more tailored machine learning capabilities, this course introduces Notebooks and BigQuery machine learning (BigQuery ML). Also, this course covers how to productionalize machine learning solutions by using Vertex AI.



Prerequisites


Training Outline

Introduction to Analytics and AI
This modules talks about ML options on Google Cloud
  • Module introduction
  • What is AI?
  • From ad-hoc data analysis to data-driven decisions
  • Options for ML models on Google Cloud
  • QUIZ
Prebuilt ML Model APIs for Unstructured Data
This module focuses on using pre-built ML APIs on your unstructured data
  • Module introduction
  • Unstructured data is hard
  • ML APIs for enriching data
  • Lab Intro: Using the Natural Language API to Classify Unstructured Text
  • required
  • LAB: Using the Natural Language API to classify unstructured text: In this lab you’ll learn how to classify text into categories using the Natural Language API
  • QUIZ
Big Data Analytics with Notebooks
This module covers how to use Notebooks
  • Module introduction
  • What’s a Notebook?
  • BigQuery magic and ties to Pandas
  • Lab Intro: BigQuery in JupyterLab on Vertex AI
  • LAB: BigQuery in JupyterLab on Vertex AI 2.5: The purpose of this lab is to show learners how to instantiate a Jupyter notebook running on Google Cloud Platform's AI Platform service.
  • QUIZ
Production ML Pipelines
This module covers building custom ML models and introduces Vertex AI and TensorFlow Hub
  • Module introduction
  • Ways to do ML on Google Cloud
  • Vertex AI Pipelines
  • TensorFlow Hub
  • Lab Intro: Running Pipelines on Vertex AI
  • LAB: Running Pipelines on Vertex AI 2.5: In this lab, you learn how to utilize Vertex AI Pipelines to execute a simple Kubeflow Pipeline SDK derived ML Pipeline.
  • Summary
  • QUIZ
Custom Model Building with SQL in BigQuery ML
This module covers BigQuery ML
  • Module introduction
  • BigQuery ML for Quick Model Building
  • Supported models
  • Lab Intro: Predict Bike Trip Duration with a Regression Model in BigQuery ML 1 minute
  • LAB: Predict Bike Trip Duration with a Regression Model in BQML 2.5: In this lab you will use the London bicycles dataset to build a regression model in BQML to predict trip duration.
  • Lab Intro: Movie Recommendations in BigQuery ML
  • LAB: Movie Recommendations in BigQuery ML 2.5: In this lab you'll use the MovieLens dataset to build a collaborative filtering model and use it to make predictions.
  • Summary
  • QUIZ
Custom Model Building with AutoML
  • Module introduction
  • Why AutoML?
  • AutoML Vision
  • AutoML Natural Language Processing
  • AutoML Tables
  • Summary
  • QUIZ

Why Choose Us

Experience Smart Analytics, Machine Learning, and AI on Google Cloud in New Zealand through Bilginç IT Academy's live and interactive virtual classroom environment. Join a Public course as an individual delegate or arrange a dedicated Private / In-house online training program exclusively for your organization.

  • Delivery Method: Online Instructor-Led
  • Participation Model: Public / Private (In-house)
  • Live and Interactive Training: Connect with your instructor in real time and actively participate through discussions, Q&A sessions, practical exercises, and group activities.
  • Flexible Participation: Join the training from your home, office, or any location with a suitable internet connection.
  • Expert Trainer Network: Learn from experienced trainers with strong industry backgrounds and practical field expertise.
  • Over 30 Years of Training Expertise: Benefit from Bilginç IT Academy's professional training experience since 1995.
  • Worldwide Access: Join our live virtual classrooms from New Zealand or anywhere else in the world, or arrange a dedicated online training program for your organization.

Experience Smart Analytics, Machine Learning, and AI on Google Cloud through face-to-face Classroom Based training in New Zealand. Training can be delivered as a Public course open to individual delegates or as a dedicated Private / In-house class for your organization.

  • Delivery Method: Classroom Based
  • Participation Model: Public / Private (In-house)
  • Face-to-Face Learning: Interact directly with your instructor and fellow delegates in an engaging classroom environment.
  • Experienced Trainers: Learn from specialists with extensive industry experience and practical real-world knowledge.
  • Professional Training Environment: Attend training in comfortable, well-equipped classrooms designed to support effective learning.
  • Practical Learning: Depending on the course, reinforce your knowledge through hands-on exercises, scenarios, case studies, and instructor-led activities.

Arrange Smart Analytics, Machine Learning, and AI on Google Cloud in New Zealand as a dedicated Onsite training program for your organization. Bilginç IT Academy trainers can deliver the training at your office or another location of your choice, with the program planned around your team's requirements and business objectives.

  • Delivery Method: Onsite
  • Participation Model: Private (In-house)
  • Training at Your Preferred Location: Organize the training at your company's office or another location selected by your organization.
  • Tailored Course Content: Adapt the training program to your projects, team structure, existing skill levels, and specific business requirements.
  • Team-Focused Learning: Develop your team around a shared knowledge base while strengthening internal collaboration and knowledge transfer.
  • Flexible Scheduling: Plan the training dates, location, and program according to your organization's operational requirements.
  • Worldwide Onsite Delivery: Arrange the training in New Zealand or at another preferred location worldwide. Bilginç IT Academy trainers can travel to your selected location to deliver the dedicated training program.


Contact us for more detail about our trainings and for all other enquiries!

Smart Analytics, Machine Learning, and AI on Google Cloud Training Course in New Zealand Schedule

Join our public courses in our New Zealand facilities. Private class trainings will be organized at the location of your preference, according to your schedule.

We can organize this training at your preferred date and location.
03 October 2026 (1 Day)
Auckland, Wellington, Christchurch
NZD 2,800 +TAX
05 October 2026 (1 Day)
Auckland, Wellington, Christchurch
NZD 2,800 +TAX
08 October 2026 (1 Day)
Auckland, Wellington, Christchurch
NZD 2,800 +TAX
13 October 2026 (1 Day)
Auckland, Wellington, Christchurch
NZD 2,800 +TAX
02 November 2026 (1 Day)
Auckland, Wellington, Christchurch
NZD 2,800 +TAX
08 November 2026 (1 Day)
Auckland, Wellington, Christchurch
NZD 2,800 +TAX
12 November 2026 (1 Day)
Auckland, Wellington, Christchurch
NZD 2,800 +TAX
15 November 2026 (1 Day)
Auckland, Wellington, Christchurch
NZD 2,800 +TAX

New Zealand, with vibrant and rapidly growing tech communities in Auckland, Wellington, and Christchurch, is carving out a global niche in innovative software solutions and specialized niche technology markets. The nation’s commitment to digital readiness is backed by the research excellence of the University of Auckland and Victoria University of Wellington, focusing on areas like Creative-tech, Agritech, and Health-tech innovation. New Zealand offers a unique and forward-thinking environment for digital learning, where agility and creative problem-solving are highly valued in the professional landscape. Our IT education services in New Zealand focus on high-demand skills such as Web Development, Agile Project Management, and Information Security. We provide the tools and expertise necessary for Kiwi professionals to lead technological change in an economy that prioritizes sustainability, innovation, and global connectivity.

By using this website you agree to let us use cookies. For further information about our use of cookies, check out our Cookie Policy.