Google Gemini AI for Data Analysis Training Course

This instructor-led, live training in Brazil (online or onsite) is designed for field ecologists and conservation managers who wish to develop 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 Brazil (online or on-site) is designed for GIS professionals and analysts, spanning beginner to advanced levels, who wish to learn how to effectively utilize ArcGIS for data visualization, spatial analysis, and geospatial project management.

By the conclusion 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 Brazil (online or onsite) targets beginner-level IT support staff seeking to provide reliable support for ArcGIS Enterprise, effectively addressing system anomalies and failures.

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

• Understand the architecture and core 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 Brazil (online or onsite) targets beginner-level professionals who wish to learn the fundamental concepts and tools of ArcGIS.

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

• Understand the basic concepts of GIS and spatial data.
• Navigate the ArcGIS interface.
• Create and manage spatial data.
• Perform basic spatial analysis.
• Create maps and visualizations.

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

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

Upon completing this training, participants will be able to:

• Utilize ArcGIS Pro Plus tools for data visualization and analysis.
• Develop 2D and 3D maps featuring 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 discussions.
• Numerous exercises and practice sessions.
• Hands-on implementation in a live-lab environment.

Course Customization Options

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

This instructor-led, live training in Brazil (online or onsite) 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.

This instructor-led, live training in Brazil (online or onsite) is designed for GIS analysts who aim to automate repetitive tasks within GIS processes.

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

• Develop GIS applications using Python and ArcGIS tools.
• Develop using the ArcGIS package ArcPy, utilizing Python.
• Apply ArcGIS modules for map automation via object classes in Python.

In the dynamic energy landscape, combining electrical transient analysis with accurate geographic information has become a strategic imperative. Currently, depending on disjointed data sources creates substantial operational hazards. This intensive 14-day program, held in Melbourne, aims to connect the disciplines of electrical engineering with geospatial management.

This instructor-led, live training in Brazil (online or onsite) is designed for geographers with intermediate experience who aim to deepen their expertise in spatial analysis, data management, and GIS applications.

Upon completing this training, participants will be capable of:

• Applying advanced spatial analysis techniques to address complex geographical challenges.
• Managing large spatial databases and performing data quality control.
• Producing dynamic and interactive maps and visualizations for diverse applications.
• Using programming and automation to optimize GIS workflows.

This instructor-led live training in Brazil (online or onsite) is designed for developers seeking to enhance their websites or web applications by integrating geo-location functionality via Google Maps.

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

• Embed maps into new or existing websites and web applications.
• Display real-time data synchronized with the current location.
• Develop mashups that incorporate Google Maps.
• Adopt best practices for CSS and JavaScript coding.
• Create custom maps tailored for applications.

Insurance in the Digital Age offers a practical look at how digital transformation is reshaping products, operations, and customer engagement within the insurance sector.

This instructor-led live training (available online or onsite) is designed for insurance professionals at an intermediate level who aim to understand and apply digital technologies, data-driven strategies, and innovation frameworks to modernize their insurance offerings and operational processes.

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

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

Course Format

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

Course Customization Options

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

Requirements Engineering (RE) stands as a crucial discipline within the realm of software and systems development. It focuses on identifying, documenting, and managing the needs and constraints of stakeholders to guarantee project success.

This instructor-led, live training, available both online and onsite, is tailored for intermediate-level professionals aiming to deepen their understanding of practical Requirements Engineering while preparing for the IREB CPRE – Foundation Level certification exam.

After completing this training, participants will be equipped to:

• Grasp and apply the core concepts and terminology outlined in 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 prioritization throughout the project lifecycle.
• Utilize Requirements Engineering tools and best practices to enhance communication and project outcomes.
• Be fully prepared to take and pass the IREB CPRE – Foundation Level certification exam.

Format of the Course

• Interactive lecture and discussion.
• Case-based exercises and collaborative workshops.
• Exam preparation sessions and practice questions.

Course Customization Options

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

This instructor-led live training in Brazil (online or on-site) targets beginner-level earth sciences and engineering professionals who wish to utilize Python for geospatial analysis in ArcGIS and QGIS environments.

Upon completing this training, participants will be equipped to:

• Master Python syntax and control structures to execute geospatial tasks efficiently.
• Manipulate and analyze 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 tasks.

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

QGIS operates as GIS software, enabling users to analyze and edit spatial information, as well as compose and export graphical maps. It supports both raster and vector layers; vector data is stored as points, lines, or polygons. The software handles multiple raster image formats and can georeference images. In summary, it allows users to create, edit, visualize, analyze, and publish geospatial information on Windows, Mac, Linux, and BSD.

In its first phase, this program introduces the QGIS interface for general usage. In the second phase, we introduce PyQGIS, the Python libraries of QGIS, which allow you to integrate GIS functionalities into your Python code or applications, even enabling you to create your own Python plugin around specific GIS functionalities.