GIS Training Programs

Comprehensive training solutions for GIS professionals

GIS Fundamentals

Core GIS Concepts and Principles

A comprehensive introduction to Geographic Information Systems, covering essential concepts, data types, and analysis techniques.

Course Outline:

  • Introduction to GIS concepts
  • Geospatial data types and formats
  • Coordinate systems and projections
  • Data collection and management
  • Basic spatial analysis
  • Cartography and map design
Duration: 5 days Level: Beginner

Learning Outcomes

  • Core Competencies

    Understanding of fundamental GIS concepts and principles

  • Practical Skills

    Ability to work with geospatial data and perform basic analysis

  • Career Development

    Foundation for advanced GIS training and professional growth

ArcGIS Pro Beginner

Introduction to ArcGIS Pro

A comprehensive introduction to ArcGIS Pro, covering essential tools and workflows for beginners.

Course Outline:

  • ArcGIS Pro interface and navigation
  • Project creation and management
  • Data import and management
  • Basic map creation and symbology
  • Attribute table operations
  • Basic spatial analysis tools
  • Layout creation and map export
  • Introduction to geoprocessing
Duration: 4 days Level: Beginner

Learning Outcomes

  • Core Skills

    Understanding of ArcGIS Pro interface and basic workflows

  • Data Management

    Ability to import, manage, and work with spatial data

  • Map Production

    Skills to create professional maps and layouts

ArcGIS Pro Intermediate

Advanced Analysis and Automation

Building on fundamental skills to perform more complex analysis and automate workflows in ArcGIS Pro.

Course Outline:

  • Advanced data management and editing
  • Advanced symbology and labeling
  • Geoprocessing and analysis tools
  • ModelBuilder basics
  • Python scripting introduction
  • Network analysis
  • Spatial statistics
  • 3D visualization and analysis
Duration: 5 days Level: Intermediate

Learning Outcomes

  • Advanced Analysis

    Mastery of complex spatial analysis and geoprocessing

  • Automation Skills

    Ability to create models and basic scripts for workflow automation

  • Professional Development

    Enhanced capabilities for complex GIS projects

FME Form Training

Data Integration and Transformation

Comprehensive training in FME Form for data transformation, integration, and automation.

Course Outline:

  • FME Form basics and interface
  • Data transformation workflows
  • Advanced transformers
  • Custom transformer development
  • Automation and scheduling
  • Error handling and debugging
Duration: 4 days Level: Intermediate

Learning Outcomes

  • Data Integration

    Expertise in transforming and integrating diverse data formats

  • Workflow Automation

    Ability to create efficient data transformation workflows

  • Problem Solving

    Skills to solve complex data integration challenges

ArcGIS Online

Web GIS and Collaboration

Training in ArcGIS Online for creating, sharing, and managing web maps and applications.

Course Outline:

  • ArcGIS Online basics
  • Web map creation and sharing
  • Story Maps and Web Apps
  • Data collection with Survey123
  • Field data collection
  • Collaboration and sharing
Duration: 3 days Level: Intermediate

Learning Outcomes

  • Web GIS Skills

    Proficiency in creating and managing web maps

  • Application Development

    Ability to create interactive web applications

  • Collaboration

    Skills for effective team collaboration using ArcGIS Online

Remote Sensing Fundamentals

Introduction to Satellite Imagery Analysis

A comprehensive introduction to remote sensing using ESA SNAP and Copernicus data for basic image analysis and interpretation.

Course Outline:

  • Introduction to remote sensing principles
  • ESA SNAP software basics
  • Copernicus data access and handling
  • Basic image processing techniques
  • Visual interpretation of satellite imagery
  • Introduction to spectral analysis
Duration: 4 days Level: Beginner

Learning Outcomes

  • Core Understanding

    Fundamental knowledge of remote sensing principles and techniques

  • Software Proficiency

    Basic competence in using ESA SNAP for image processing

  • Data Handling

    Ability to access and process Copernicus satellite data

Intermediate Remote Sensing

Advanced Image Processing and Analysis

Building on fundamental skills to perform more complex remote sensing analysis using ESA SNAP and Copernicus data.

Course Outline:

  • Advanced ESA SNAP workflows
  • Time series analysis
  • Change detection techniques
  • Atmospheric correction
  • Image classification methods
  • Introduction to LiDAR data processing
  • Sentinel-1 SAR data processing
  • SAR image calibration and speckle filtering
  • Terrain correction and geocoding
  • Basic interferometric processing
Duration: 5 days Level: Intermediate

Learning Outcomes

  • Advanced Processing

    Mastery of complex image processing workflows

  • Analysis Skills

    Ability to perform detailed change detection and classification

  • Data Integration

    Skills to combine multiple data sources for comprehensive analysis

  • SAR Processing

    Competence in processing and analyzing Sentinel-1 SAR data

Advanced Remote Sensing

Expert-Level Analysis and Automation

Advanced training in remote sensing analysis, focusing on automation, custom workflows, and complex data processing.

Course Outline:

  • Advanced LiDAR processing and analysis
  • Custom ESA SNAP workflows and automation
  • Machine learning for image classification
  • 3D terrain modeling from LiDAR
  • Advanced change detection algorithms
  • Custom script development for SNAP
  • InSAR processing and analysis
  • Time series InSAR (PSInSAR, SBAS)
  • Ground deformation monitoring
  • Infrastructure stability assessment
Duration: 5 days Level: Advanced

Learning Outcomes

  • Expert Analysis

    Advanced skills in LiDAR, InSAR, and satellite data analysis

  • Automation

    Ability to develop custom workflows and automation scripts

  • Innovation

    Skills to develop innovative solutions for complex remote sensing challenges

  • InSAR Applications

    Expertise in ground deformation monitoring and infrastructure stability assessment

Azure Data Architecture

Designing Modern Data Solutions

Comprehensive training in designing and implementing modern data architectures using Microsoft Azure services.

Course Outline:

  • Azure data platform overview
  • Data architecture patterns and best practices
  • Security and compliance considerations
  • Performance optimization strategies
  • Cost management and optimization
  • Integration with existing systems
Duration: 4 days Level: Intermediate

Learning Outcomes

  • Architecture Design

    Ability to design scalable and secure data architectures

  • Best Practices

    Understanding of Azure data platform best practices

  • Implementation

    Skills to implement and optimize data solutions

Azure Data Warehousing

Modern Data Warehousing Solutions

Training in implementing and managing modern data warehouses using Azure Synapse Analytics and related services.

Course Outline:

  • Azure Synapse Analytics fundamentals
  • Data warehouse design patterns
  • ETL/ELT processes
  • Performance tuning and optimization
  • Data modeling and partitioning
  • Monitoring and maintenance
Duration: 4 days Level: Intermediate

Learning Outcomes

  • Warehouse Design

    Skills to design and implement data warehouses

  • Data Integration

    Expertise in ETL/ELT processes and data integration

  • Performance Management

    Ability to optimize and maintain data warehouse performance

Azure Databricks

Big Data Analytics and Machine Learning

Comprehensive training in Azure Databricks for big data processing, analytics, and machine learning.

Course Outline:

  • Databricks workspace and clusters
  • Notebook development and collaboration
  • Spark programming with Python and SQL
  • Delta Lake implementation
  • Machine learning workflows
  • Performance optimization
Duration: 5 days Level: Advanced

Learning Outcomes

  • Big Data Processing

    Expertise in processing large-scale data with Spark

  • Machine Learning

    Skills to implement ML workflows in Databricks

  • Data Engineering

    Ability to build robust data pipelines

Azure Data Factory

Data Integration and Orchestration

Training in Azure Data Factory for building and managing data integration workflows.

Course Outline:

  • Data Factory fundamentals
  • Pipeline design and implementation
  • Data flow development
  • Integration with other Azure services
  • Monitoring and troubleshooting
  • Best practices and optimization
Duration: 3 days Level: Intermediate

Learning Outcomes

  • Pipeline Development

    Skills to design and implement data pipelines

  • Integration

    Ability to integrate various data sources and services

  • Workflow Management

    Expertise in managing and monitoring data workflows

Azure Synapse Analytics

Unified Analytics Platform

Training in Azure Synapse Analytics for unified analytics and big data processing.

Course Outline:

  • Synapse workspace setup
  • SQL pool implementation
  • Spark pool configuration
  • Data integration and pipelines
  • Security and access control
  • Performance optimization
Duration: 4 days Level: Advanced

Learning Outcomes

  • Analytics Platform

    Expertise in implementing unified analytics solutions

  • Data Processing

    Skills to process and analyze data at scale

  • Platform Management

    Ability to manage and optimize Synapse environments

Python for Machine Learning

Foundations of ML with Python

Comprehensive introduction to machine learning using Python, covering essential libraries and fundamental concepts.

Course Outline:

  • Python programming fundamentals
  • NumPy and Pandas for data manipulation
  • Scikit-learn basics
  • Supervised and unsupervised learning
  • Model evaluation and validation
  • Feature engineering and selection
Duration: 4 days Level: Beginner

Learning Outcomes

  • Python Skills

    Proficiency in Python for machine learning applications

  • ML Fundamentals

    Understanding of core machine learning concepts and algorithms

  • Data Processing

    Ability to preprocess and analyze data for ML applications

Computer Vision with Python

Image Processing and Analysis

Training in computer vision techniques using Python, focusing on image processing and analysis.

Course Outline:

  • OpenCV fundamentals
  • Image preprocessing and enhancement
  • Feature detection and extraction
  • Object detection and recognition
  • Image segmentation techniques
  • Deep learning for computer vision
Duration: 5 days Level: Intermediate

Learning Outcomes

  • Image Processing

    Expertise in image processing and analysis techniques

  • Computer Vision

    Skills to implement computer vision algorithms

  • Deep Learning

    Understanding of deep learning applications in computer vision

Advanced ML for Remote Sensing

Deep Learning for Satellite Imagery

Advanced training in machine learning and deep learning techniques specifically for remote sensing applications.

Course Outline:

  • Deep learning frameworks (TensorFlow, PyTorch)
  • Convolutional Neural Networks (CNNs)
  • U-Net for image segmentation
  • Transfer learning for satellite imagery
  • Object detection in aerial imagery
  • Time series analysis with LSTMs
  • Model deployment and optimization
Duration: 5 days Level: Advanced

Learning Outcomes

  • Deep Learning

    Expertise in deep learning for remote sensing applications

  • Image Analysis

    Advanced skills in satellite imagery analysis using ML

  • Model Development

    Ability to develop and deploy custom ML models

Geospatial Classification Analysis

Supervised and Unsupervised Classification

Comprehensive training in both supervised and unsupervised classification techniques for land cover and feature analysis.

Course Outline:

  • Supervised classification fundamentals
  • Training sample collection and validation
  • Maximum Likelihood and Random Forest classifiers
  • Unsupervised classification techniques
  • K-means and ISODATA clustering
  • Accuracy assessment and validation
  • Change detection using classification
Duration: 4 days Level: Intermediate

Learning Outcomes

  • Classification Skills

    Expertise in both supervised and unsupervised classification methods

  • Analysis Techniques

    Ability to perform accurate land cover classification and change detection

  • Validation

    Skills to validate and assess classification accuracy

Watershed and Flood Analysis

Hydrological Analysis and Flood Risk Assessment

Training in watershed delineation, hydrological modeling, and flood risk assessment using GIS and remote sensing.

Course Outline:

  • Digital Elevation Model (DEM) processing
  • Watershed and stream network delineation
  • Flow accumulation and direction analysis
  • Floodplain mapping and risk assessment
  • Hydrological modeling basics
  • Rainfall-runoff analysis
  • Flood risk visualization and reporting
Duration: 4 days Level: Intermediate

Learning Outcomes

  • Watershed Analysis

    Expertise in watershed delineation and hydrological analysis

  • Flood Assessment

    Skills to assess and map flood risks and floodplains

  • Modeling

    Understanding of basic hydrological modeling principles

Habitat Analysis

Vegetation and Water Index Analysis

Training in habitat analysis using vegetation and water indices for environmental monitoring and assessment.

Course Outline:

  • Vegetation indices (NDVI, EVI, SAVI)
  • Water indices (NDWI, MNDWI)
  • Habitat suitability modeling
  • Land cover change analysis
  • Vegetation health monitoring
  • Wetland mapping and monitoring
  • Time series analysis of vegetation
Duration: 4 days Level: Intermediate

Learning Outcomes

  • Index Analysis

    Expertise in calculating and interpreting vegetation and water indices

  • Habitat Assessment

    Skills to assess and monitor habitats using remote sensing

  • Environmental Monitoring

    Ability to monitor environmental changes and vegetation health

SAR-Derived Elevation Models

DSM, DTM, and DEM Generation from SAR

Intensive one-day training on generating elevation models from SAR data using advanced processing techniques.

Course Outline:

  • SAR interferometry basics
  • Phase unwrapping techniques
  • DSM generation from SAR
  • DTM extraction methods
  • DEM refinement and validation
  • Practical applications and case studies
Duration: 1 day Level: Advanced

Learning Outcomes

  • Elevation Modeling

    Expertise in generating elevation models from SAR data

  • Processing Skills

    Understanding of SAR interferometry and phase unwrapping

  • Validation

    Ability to validate and refine elevation models

LiDAR Data Handling

Efficient LiDAR Data Processing

One-day intensive training on working with LiDAR data, from raw point clouds to derived products.

Course Outline:

  • LiDAR data formats and standards
  • Point cloud classification
  • Ground point extraction
  • Surface model generation
  • Feature extraction techniques
  • Data quality assessment
Duration: 1 day Level: Intermediate

Learning Outcomes

  • Data Processing

    Expertise in processing and analyzing LiDAR point clouds

  • Product Generation

    Skills to generate surface models and extract features

  • Quality Control

    Understanding of LiDAR data quality assessment

ArcGIS Pro Data Management

Efficient Data Organization and Management

One-day focused training on best practices for data management in ArcGIS Pro.

Course Outline:

  • Project organization and structure
  • Geodatabase design and management
  • Data versioning and archiving
  • Metadata creation and management
  • Data validation and quality control
  • Backup and recovery strategies
Duration: 1 day Level: Intermediate

Learning Outcomes

  • Organization

    Expertise in organizing and structuring GIS projects

  • Data Management

    Skills to manage geodatabases and data versions

  • Quality Assurance

    Understanding of data validation and quality control

Power Automate Beginner

Introduction to Workflow Automation

A comprehensive introduction to Microsoft Power Automate, covering basic concepts and simple workflow automation.

Course Outline:

  • Introduction to Power Automate
  • Understanding flows and triggers
  • Basic connectors and actions
  • Creating simple automated workflows
  • Working with templates
  • Basic error handling
  • Testing and monitoring flows
Duration: 3 days Level: Beginner

Learning Outcomes

  • Basic Automation

    Understanding of Power Automate fundamentals and basic workflow creation

  • Workflow Design

    Ability to design and implement simple automated workflows

  • Best Practices

    Knowledge of basic error handling and flow monitoring

Power Automate Intermediate

Advanced Workflow Development

Building on fundamental skills to create more complex workflows and integrate with various Microsoft 365 services.

Course Outline:

  • Advanced flow design patterns
  • Working with custom connectors
  • Conditional logic and expressions
  • Data operations and transformations
  • Error handling and debugging
  • Integration with SharePoint and Teams
  • Working with variables and arrays
  • Flow optimization and performance
Duration: 4 days Level: Intermediate

Learning Outcomes

  • Advanced Workflows

    Expertise in creating complex automated workflows

  • Integration Skills

    Ability to integrate Power Automate with Microsoft 365 services

  • Problem Solving

    Skills to troubleshoot and optimize flows

Power Automate Advanced

Enterprise Automation Solutions

Advanced training in Power Automate for enterprise-level automation, custom solutions, and complex integrations.

Course Outline:

  • Enterprise flow architecture
  • Custom connector development
  • Advanced expressions and functions
  • API integration and management
  • Security and compliance considerations
  • Flow governance and management
  • Performance optimization and scaling
  • Advanced error handling and logging
  • Solution deployment and maintenance
Duration: 5 days Level: Advanced

Learning Outcomes

  • Enterprise Solutions

    Expertise in designing and implementing enterprise-level automation solutions

  • Custom Development

    Ability to develop custom connectors and advanced integrations

  • Governance

    Understanding of flow governance, security, and compliance

Custom Training Solutions

We offer customized training programs tailored to your specific needs and requirements.

Request Custom Training