Google Gemini AI for Data Analysis Training Course

This instructor-led, live training in New Zealand (online or on-site) is designed for advanced-level DevOps and SRE professionals seeking to enhance their alerting and automation skills using Grafana and Prometheus.

By the end of this training, participants will be able to:

• Create and manage advanced alerting rules in Prometheus.
• Integrate Prometheus Alertmanager with external tools using webhooks.
• Automate responses to alerts to resolve issues more quickly.
• Use Grafana to effectively visualise and manage alerts.

This instructor-led, live training in New Zealand (available online or on-site) is tailored for field ecologists and conservation managers who wish to create spatial data projects using ArcGIS.

By the end of this training, participants will be able to:

• Present spatial data as visualisations.
• Perform geostatistics on real-world data.
• Implement spatial data analysis, data processing, and mapping using ArcGIS.
• Analyse spatial data for projects within ArcGIS.

This instructor-led, live training in New Zealand (online or onsite) is designed for GIS professionals and analysts, from beginner to advanced levels, who wish to learn how to effectively use ArcGIS for data visualisation, spatial analysis, and geospatial project management.

By the end of this training, participants will be able to:

• Navigate and utilise ArcGIS tools for geospatial data management.
• Create and customise maps with layers and attributes.
• Perform advanced spatial analysis and geoprocessing tasks.
• Automate workflows using ModelBuilder and Python.

This instructor-led, live training in New Zealand (online or onsite) is designed for beginner-level IT support personnel who wish to provide robust support for ArcGIS Enterprise, effectively addressing any anomalies or failures.

By the end of this training, participants will be able to:

• Understand the architecture and components of ArcGIS Enterprise.
• Learn how to install, configure, and manage ArcGIS Enterprise.
• Gain practical skills in troubleshooting and resolving common issues.
• Develop proficiency in monitoring and maintaining ArcGIS Enterprise environments.
• Master techniques for backup, recovery, and performance optimisation.

This instructor-led, live training in New Zealand (available online or on-site) is designed for beginner-level professionals seeking to master the core concepts and tools of ArcGIS.

By the end of this training, participants will be able to:

• Understand the fundamental concepts of GIS and spatial data.
• Navigate the ArcGIS interface with confidence.
• Create and manage spatial data effectively.
• Perform basic spatial analysis.
• Develop maps and visualisations.

ArcGIS Professional Plus is an advanced version of ArcGIS Pro, offering extended features for geospatial data analysis, 3D modelling, automation, and enterprise collaboration.

This instructor-led, live training (online or onsite) is aimed at intermediate-level GIS professionals who wish to deepen their skills in spatial data analysis, automation, and sharing using ArcGIS Professional Plus tools.

By the end of this training, participants will be able to:

• Leverage ArcGIS Pro Plus tools for data visualisation and analysis.
• Create 2D and 3D maps with advanced symbology and geoprocessing techniques.
• Automate workflows using ModelBuilder and Python scripting.
• Integrate ArcGIS with external data services and enterprise systems.

Format of the Course

• Interactive lecture and discussion.
• Plenty of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customisation Options

• To request a customised training for this course, please contact us to arrange.

This instructor-led, live training in New Zealand (online or on-site) is aimed at advanced-level GIS professionals who wish to use ArcGIS Pro to enhance their spatial analysis capabilities, conduct comprehensive geostatistical analysis, and apply advanced 3D modelling techniques for more effective decision-making and problem-solving in real-world scenarios.

By the end of this training, participants will be able to:

• Develop advanced skills in spatial analysis techniques using ArcGIS Pro.
• Utilise Python scripting for automation and complex data processing.
• Apply spatial modelling for problem-solving in real-world scenarios.
• Conduct geostatistical analysis for advanced data interpretation.
• Integrate external data sources and leverage 3D spatial data analysis.

In the rapidly changing energy landscape, combining electrical transient analysis with accurate geospatial data is a strategic imperative. Reliance on disjointed information currently creates substantial operational risks. This intensive 14-day programme in Melbourne aims to close the gap between electrical engineering and geospatial management.

This instructor-led, live training in New Zealand (online or onsite) is aimed at intermediate-level geographers who wish to deepen their expertise in spatial analysis, data management, and GIS applications.

By the end of this training, participants will be able to:

• Apply advanced spatial analysis techniques to solve complex geographical problems.
• Manage large spatial databases and perform data quality control.
• Create dynamic and interactive maps and visualisations for various applications.
• Utilise programming and automation to streamline GIS workflows.

Insurance in the Digital Era offers a practical overview of how digital transformation is reshaping products, operations, and customer engagement across the insurance sector.

This instructor-led, live training (delivered online or on-site) is designed for intermediate-level insurance professionals seeking to understand and apply digital technologies, data-driven strategies, and innovation frameworks to modernise insurance offerings and operations.

By the end of this training, participants will be able to:

• Explain the role of AI, Big Data, IoT, and automation in modern insurance workflows.
• Identify InsurTech trends and understand their impact on the broader insurance ecosystem.
• Design customer-centric strategies powered by digital tools and data-driven insights.
• Apply data-driven approaches to risk management and decision-making.
• Develop an innovation and change management approach tailored for insurers.
• Assess real-world case studies and translate key lessons into local initiatives.

Course Format

• Interactive lectures and discussions.
• Case study analysis and collaborative group workshops.
• Practical exercises and action planning tailored to participants' organisations.

Course Customisation Options

• To request a customised training session for this course, please contact us to arrange.

Requirements Engineering (RE) is a key discipline within software and systems development, focused on identifying, documenting, and managing the needs and constraints of stakeholders to ensure project success.

This instructor-led, live training (online or on-site) is aimed at intermediate-level professionals who wish to deepen their understanding of practical Requirements Engineering while preparing for the IREB CPRE – Foundation Level certification exam.

Upon completion of this training, participants will be able to:

• Understand and apply the key concepts and terminology defined by the IREB CPRE Foundation syllabus.
• Identify and elicit requirements using effective and context-appropriate techniques.
• Model, document, and validate requirements for real-world projects.
• Manage requirements changes, traceability, and prioritisation throughout the project lifecycle.
• Use Requirements Engineering tools and best practices to enhance communication and project outcomes.
• Be fully prepared to sit and pass the IREB CPRE – Foundation Level certification exam.

Course Format

• Interactive lectures and discussions.
• Case-based exercises and collaborative workshops.
• Exam preparation sessions and practice questions.

Course Customisation Options

• Additional modules or industry-specific case studies can be added on request.

This instructor-led, live training in New Zealand (available online or on-site) is designed for beginner-level earth sciences and engineering professionals who wish to utilise Python for geospatial analysis in both ArcGIS and QGIS environments.

By the end of this training, participants will be able to:

• Master Python syntax and control structures to execute geospatial tasks efficiently.
• Leverage Pandas, Numpy, and Matplotlib for data analysis and visualisation in GIS.
• Manipulate and analyse vector data using the Geopandas, Arcpy, and PyQGIS libraries.
• Automate geospatial processes and workflows through Python scripting in both ArcGIS and QGIS.
• Develop custom Python-based geoprocessing tools for ArcGIS and QGIS to streamline operational tasks.

A geographic information system (GIS) is a system designed to capture, store, manipulate, analyse, manage, and present spatial or geographic data. The acronym GIS is sometimes used to refer to geographic information science (GIScience), the academic discipline that studies geographic information systems and forms a major domain within the broader field of geoinformatics.

QGIS functions as geographic information system (GIS) software, enabling users to analyse and edit spatial information, as well as compose and export graphical maps. QGIS supports both raster and vector layers; vector data is stored as point, line, or polygon features. Multiple raster image formats are supported, and the software can georeference images. In summary, QGIS allows users to create, edit, visualise, analyse, and publish geospatial information on Windows, macOS, Linux, and BSD.

In its first phase, this program introduces the QGIS interface for general use. In the second phase, we introduce PyQGIS—the Python libraries for QGIS—which enable the integration of GIS functionalities into your Python code or applications. This allows you to develop your own Python plugins tailored to specific GIS tasks.

This instructor-led, live training in New Zealand (online or on-site) is designed for individuals who wish to understand requirements analysis and carry it out efficiently and accurately using proven analysis techniques for their projects.

By the end of this training, participants will be able to:

• Identify different types of requirements.
• Understand the overarching concepts and activities involved in requirements analysis.
• Gain familiarity with requirements analysis methodology.
• Leverage various requirements analysis techniques to their advantage.
• Structure requirements to communicate effectively with architects and developers through an iterative requirement gathering process.