Google Gemini AI for Data Analysis Training Course

This instructor-led, live training in Sweden (online or onsite) targets advanced DevOps and SRE professionals aiming to enhance their alerting and automation skills with 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 for faster issue resolution.
• Use Grafana to visualize and manage alerts effectively.

This instructor-led, live training in Sweden (online or onsite) is aimed at field ecologists and conservation managers who wish to create spatial data projects in ArcGIS.

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

• Output spatial data as visualizations.
• Conduct geostatistics on actual data.
• Implement spatial data analysis, data processing, and mapping with ArcGIS.
• Analyze spatial data for projects in ArcGIS.

This instructor-led, live training in Sweden (online or onsite) is aimed at beginner-level to advanced-level GIS professionals and analysts who wish to learn how to effectively use ArcGIS for data visualization, spatial analysis, and geospatial project management.

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

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

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

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

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

This instructor-led, live training in Sweden (online or onsite) targets beginner-level professionals seeking to learn the fundamental concepts and tools of ArcGIS.

Upon completing this training, participants will be capable of:

• Grasping the core concepts of GIS and spatial data.
• Navigating the ArcGIS interface effectively.
• Creating and managing spatial data.
• Conducting basic spatial analysis.
• Producing maps and visualizations.

ArcGIS Professional Plus represents an advanced iteration of ArcGIS Pro, delivering extended capabilities for geospatial data analysis, 3D modeling, automation, and enterprise-level collaboration.

This instructor-led, live training session (available online or onsite) is designed for intermediate-level GIS professionals aiming to enhance their expertise in spatial data analysis, automation, and content sharing utilizing ArcGIS Professional Plus tools.

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

• Utilize ArcGIS Pro Plus tools for effective data visualization and analysis.
• Develop 2D and 3D maps employing advanced symbology and geoprocessing techniques.
• Automate workflows through ModelBuilder and Python scripting.
• Integrate ArcGIS with external data services and enterprise systems.

Format of the Course

• Interactive lectures and group discussions.
• Extensive exercises and practical practice sessions.
• Hands-on implementation within a live-lab environment.

Course Customization Options

• To arrange a customized training session for this course, please contact us.

This instructor-led, live training in Sweden (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 modeling 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.
• Utilize Python scripting for automation and complex data processing.
• Apply spatial modeling 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 geographic information has become a strategic imperative. Currently, depending on disjointed data creates substantial operational risks. This intensive 14-day course in Melbourne aims to connect the disciplines of electrical engineering and geospatial management.

This instructor-led, live training in Sweden (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 visualizations for various applications.
• Utilize programming and automation to streamline GIS workflows.

Insurance in the Digital Era provides an applied overview of how digital transformation is reshaping products, operations, and customer engagement within the insurance industry.

This instructor-led, live training (available online or onsite) is designed for intermediate-level insurance professionals who wish to understand and apply digital technologies, data-driven strategies, and innovation frameworks to modernize 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 how they affect the insurance ecosystem.
• Design customer-centric strategies enabled by digital tools and data insights.
• Apply data-driven approaches to risk management and decision making.
• Develop an innovation and change management approach suitable for insurers.
• Assess real-world case studies and translate lessons into local initiatives.

Format of the Course

• Interactive lecture and discussion.
• Case study analysis and group workshops.
• Practical exercises and action planning for participants’ organizations.

Course Customization Options

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

Requirements Engineering (RE) stands as a critical discipline within software and systems development, dedicated to identifying, documenting, and managing stakeholder needs and constraints to guarantee project success.

This instructor-led, live training session (available online or onsite) targets intermediate-level professionals looking to deepen their grasp of practical Requirements Engineering while preparing for the IREB CPRE – Foundation Level certification exam.

After completing this training, participants will be able to:

• Comprehend and apply the core concepts and terminology outlined in the IREB CPRE Foundation syllabus.
• Identify and elicit requirements using effective, context-sensitive techniques.
• Model, document, and validate requirements for real-world projects.
• Manage requirements changes, traceability, and prioritization throughout the entire project lifecycle.
• Utilize Requirements Engineering tools and best practices to improve communication and project outcomes.
• Be fully equipped to take and pass the IREB CPRE – Foundation Level certification exam.

Course Format

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

Course Customization Options

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

This instructor-led, live training session Sweden (online or onsite) is designed for beginner-level earth sciences and engineering professionals who wish to apply Python for geospatial analysis in ArcGIS and QGIS environments.

Upon completing this training, participants will be capable of:

• Mastering Python syntax and control structures to execute geospatial tasks efficiently.
• Employing Pandas, Numpy, and Matplotlib for data analysis and visualization within GIS.
• Manipulating and analyzing vector data using the Geopandas, Arcpy, and PyQGIS libraries.
• Automating geospatial processes and workflows through Python scripting in ArcGIS and QGIS.
• Creating custom Python-based geoprocessing tools for ArcGIS and QGIS to streamline tasks.

A Geographic Information System (GIS) is a framework designed to capture, store, manipulate, analyze, manage, and present spatial or geographic data. The term GIS is occasionally used to refer to Geographic Information Science (GIScience), the academic discipline focused on the study of GIS, which constitutes a significant domain within the broader field of geoinformatics.

QGIS operates as GIS software, enabling users to analyze and edit spatial information while also facilitating the composition and export of graphical maps. It supports both raster and vector layers, with vector data stored as points, lines, or polygon features. The software accommodates various raster image formats and offers georeferencing capabilities. In summary, QGIS empowers users to create, edit, visualize, analyze, and publish geospatial information across Windows, Mac, Linux, and BSD platforms.

In its first phase, this program introduces the QGIS interface for general use. In the second phase, we introduce PyQGIS—the Python libraries of QGIS that allow the integration of GIS functionalities into your Python code or applications. This enables you to develop your own Python plugins based on specific GIS functionalities.

This instructor-led, live training in Sweden (online or onsite) is designed for individuals who wish to understand requirements analysis and perform it efficiently and accurately by utilizing analysis techniques for their projects.

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

• identify various types of requirements.
• understand the core concepts and activities involved in requirements analysis.
• familiarize themselves with the requirements analysis methodology.
• apply different requirements analysis techniques to their advantage.
• structure requirements to enable efficient communication with architects and developers through an iterative requirement gathering process.