top of page

AvaKaza Geo-Science Research Technologies

Original.png

Master in Geospatial Analysis Training using ArcGIS/QGIS, ArcGIS Online, Python-ArcPY and Artificial Intelligence & Machine Learning, Google Earth Engine, POSTGIS & GeoServer
(6 Months Course - 4 Months Training Plus 2 months Internship with AGSRT)

Master in Geospatial Analysis Training using ArcGIS/QGIS, Python-ArcPY and AI & ML, Google Earth Engine, PostgreSQL with POSTGIS & GeoServer with 2 Months Internship (6 Months Course)

  • Basic to Advance Course in GIS with Remote Sensing Trained Using ArcGIS & QGIS then Python With ArcPY, Spatial Analysis using AI, Google Earth Engine, PostgreSQL with POSTGIS & GeoServer

  • Learn About Topics like Map Creation, Map Editing, Terminologies, Georeferencing, Geoprocessing, Network Analysis, Spatial Analysis, Model Builder, 3D Visualization, Image Classification, 

  • What You will Learn.

    • GIS Basic to Advance with Remote Sensing using ArcGIS and QGIS​

    • Python basic and advance and ArcPY(Map Automation using Python)

    • Data Analysis, Data Conversion & Management.

    • Business Intelligence with Live Dashboards.

    • Image Processing with AI

    • Vector Data on EOFactory Platform.

    • Google Earth Engine 

    • Databases and Data Management (PostgreSQL with POSTGIS Extension)

    • GIS Desktop to Web (GeoServer)

  • Placement support guaranteed, We will refer you to various organization and help you with Preparation for the Interview

  • 2 Months of UnPaid Internship in Bangalore with AGSRT.

  • Internship with Research Team of AGSRT

  • On-Live Current Social Issues.

  • Publication on Reputed Conferences and Journals.

  • Industrial Internship & Research

  • Field Based Studies

  • Placement Support and Guidance.

  • Internship with Training Certificate

  • “Indian and International Scenario, Novel methods  & Innovation”

  • “Projects, Labs for Practice, Assignments and Assessments”

  • Online & Offline - Both Mode Available.

  • Offline Classes at Bangalore and Thiruvananthapuram

  • Join in Group of 5 Members, and get huge discount from the normal fees.

  • Fill the enquiry Form for Registration and Fees Details - 

Batch Details - 
May Month - Offline and Online - Bangalore & Thiruvananthapuram

Batch Start Date - May 20th.

June Month - Offline and Online - Bangalore & Thiruvananthapuram

Batch Start Date - June 12th.

Course Topics

Basic GIS Desktop Topics (ArcGIS & QGIS)

  • Introduction to GIS

  • Datum and Projection

  • Data Types, Heads-up Digitization

  • Symbology & Labelling

  • Spatial Data Input and Editing

  • Cartographic Principles and Design

  • Introduction to Database Management

  • Spatial Adjustment

  • Introduction to Vector & Raster GeoProcessing

Python for ArcGIS

  • Basic Python & Core Python

  • Introduction to Python

  • Conditional Statements, Looping,

  • Control Statements

  • String Manipulation, Lists

  • Tuple, Dictionaries, Functions, Modules,

  • Input-Output

  • Exception Handling

  • Advance Python - OOPs concept

  • Regular expressions

  • Multithreading

Geospatial Analysis Basics in EOfactory using Artificial Intelligence.

Day 1 - Introduction to GIS and Remote Sensing
Day 2 - Introduction to EOfactory Platform

Day 3/4 - Satellite Image Processing in EOfactory

Day 5 - Working With Vector Data in EOfactory

Day 6 - Introduction to Machine Learning and Artificial Intelligence for Geospatial Analysis

Day 7/8/9/10 - Publishing Information for Business Intelligence with Live-Dashboards

Advance GIS Desktop Topics (ArcGIS & QGIS)

  • Introduction to Toolbox (ArcGIS)Analysis Tool

  • Network Analysis

  • Introduction to Remote Sensing (Theory and Practicals)

  • Image Classification

  • Performing Spatial Analysis

  • Spatial Statistics

  • Model Builder

  • 3D Visualization Techniques using ArcScene

Python for ArcGIS

  • Important Python Modules for GIS Analysis

    Configuring the Python Environment

  • Creating the First Python Script

  • Complex ArcPy Scripts and Generalizing Functions

  • ArcPy Cursors – Search, Insert, and Update

  • Working with ArcPy Geometry Objects

  • Creating a Script Tool

  • Introduction to ArcPy.Mapping

  • More ArcPy.Mapping Techniques

  • Advanced Geometry Object Methods

  • Network Analyst and Spatial Analyst with ArcPy
     

ArcGIS Online (Practical)
Introducing Web GIS.Mapping and Visualization.
Web Map. Components of Web Map. Feature Layers and time layers.
Web map uses., Base map layers and operations layers.
Web Apps & WebApp Builder for ArcGIS.
Configurable Web App Examples. Creating Your First Application with WebApp Builder. Designing Your Application with Themes.
Adding Widgets. Previewing Applications. Creating and Using Templates.
Sharing your Content

Course Content - ArcGIS & QGIS - Basic and Advance with Remote Sensing

Basic GIS Topics

​1. Introduction to GIS
What is GIS?
What can you do with GIS? What is Remote Sensing?
Think of ways to apply GIS. What are the Resolutions?
Types of Resolutions. Digital Image Processing
Introduction to GPS. What is Spatial Data Model (Vector and Raster)
Overview of GIS Architecture

2. Datum and Projection

Datum, Coordinate System
Map Projection, Map Scales

3. Data Types, Heads-up Digitization
Vector and Raster Data, Non-Spatial Data (CSV)
Creating Vector Files and Data Collection
Attribute Table Creation/Editing, Join Table
Attribute table (Join Table & Spatial Query (By Location and Attribute)

4. Symbology & Labelling
Introduction to Symbolization. Single Symbol, Unique Value
Graduated Colours, Proportional Symbol
Dot Density, Chart, Heat Map
Making a map with labels
Displaying dynamic labels
Reference scale, Controlling which features are labeled
Controlling where labels are placed
Converting labels to annotation 

5. Spatial Data Input and Editing
Introduction to Spatial datasets. Topology & Error Checking
Basic Spatial Adjustment 

6. Cartographic Principles and Design
Introduction. History of Maps.
Map Layout. Symbology. Data Presentation

7. Introduction to Database Management (Practical)
Creating, Managing Geo-Database.
Domain and Subtype.
Schema & Topology.
Projections and Transformations.
Feature Conversions.
Raster Dataset

8. Spatial Adjustment
Rubber sheet.
Transformation (Affine, Projective, and Similarity)
Edge Snap

9. Introduction to Vector & Raster GeoProcessing
C
lip, Buffer, Union, Merge Dissolve – Vector.
Clip, Composit Band, Mosaic, Split Raster

Advance GIS Topics
11. Introduction to Toolbox (ArcGIS)

Analysis Tool (Practical)
Extract.
Overlay.
Proximity Analysis (Buffer, Multiple Ring Buffer, etc.)
Statistics Analysis

12. Network Analysis (Practical)
Finding the Shortest route.
New Service Area.
New Closest Facility
New OD Cost Matrix.
New Location Allocation

13. Introduction to Remote Sensing (Theory and Practicals)
Basic Remote Sensing and Jargon.
Overview of existing satellites (e.g. Landsat and Sentinel).

Future and development of remote sensing.

Hyperspectral Data Analysis (Overview).
Normalized Difference Vegetation Index (NDVI)

14. Image Classification (Practical)
Data exploration and pre-processing.
Collecting training samples.
Evaluating training samples.
Editing classes.
Creating the signature file
Clustering (unsupervised classification).
Examining the signature file
Editing the signature file.
Applying classification.
Post-classification processing

15. Performing Spatial Analysis (Practical)
Lesson introduction.
The geographic approach - revisited.
Questions you can answer with GIS
What is spatial analysis?
Common analysis tasks, Analyze crime data
Watershed Analysis

16. Spatial Statistics (Practical)
Hot Spot Analysis
Geostatistical Analysis

17. Model Builder (Practical)
Building Models for GIS Analysis using ArcGIS.
Create a new geoprocessing model.
Validating the model. Set model parameters
Prepare the model for sharing

18. 3D Visualization Techniques using ArcScene (Practical)
Data used for 3D visualization. Z-values.
Raster data. Triangulated irregular networks (TINs).
Terrain datasets Multipatch features.
3D features. 3D navigation basics.
Identify data types. Hot Spot Analysis

ArcGIS Online (Practical)
Introducing Web GIS.
Mapping and Visualization.
Web Map.
Components of Web Map.
Feature Layers and time layers.
Web map uses.
Base map layers and operations layers.
Web Apps & WebApp Builder for ArcGIS.
Configurable Web App Examples.
Creating Your First Application with WebApp Builder.
Designing Your Application with Themes.
Adding Widgets.
Previewing Applications.
Creating and Using Templates.
Sharing your Content

Google Earth Engine 
Introduction to GEE

Overview of GEE
Working with GEE
Image Analysis using Earth Engine
GeoSpatial Analysis using GEE
Time Series Analysis using GEE
Applying GEE to the Real-World problem
Example Project
Discussion of Common challenge and Solutions
Best practices using GEE

Course Content - Python(Basic to Advance) & ArcPY

Introduction to Python for ArcGIS.

Overview of Python

Python as a Programming Languages.

Basic Python​ 

​Core Python

​Introduction

HistoryFeatures

Setting up Path, Working with Python

Basic Syntax, Variable and Data Types, Operator

Conditional Statements

If, If- else, Nested if-else

​Looping

For, While, Nested loops

​Control Statements

Break, Continue, Pass

​​String Manipulation

Accessing Strings, Basic Operations
String slices, Function and Methods

Lists

Introduction, Accessing list, Operations
Working with lists, Function and Methods

​Tuple

Introduction, Accessing tuples, Operations
Working, Functions and Methods

​​Dictionaries

Introduction, Accessing values in dictionaries
Working with dictionaries, Properties, Functions

Functions

Defining a function, Calling a function, Types of functions
Function Arguments, Anonymous functions
Global and local variables

Modules

Importing module, Math module
Random module, Packages
Composition

​Input-Output

Printing on screen, Reading data from a keyboard
Opening and closing file , Reading and writing files
Functions

Exception Handling

Exception, Exception Handling
Except clause, Try? finally, Clause

User-Defined Exceptions

​Advance Python

OOPs concept, Class and object
Attributes, Inheritance
Overloading, Overriding, Data hiding

Regular expressions

Match function, Search function
Matching VS Searching
Modifiers, Patterns

Multithreading

Thread, Starting a thread, Threading module
Synchronizing threads, Multithreaded Priority Queue

Python for ArcGIS(ArcPy)

​Important Python Modules for GIS Analysis

Configuring the Python Environment

Creating the First Python Script

Complex ArcPy Scripts and Generalizing Functions

ArcPy Cursors – Search, Insert, and Update

Working with ArcPy Geometry Objects

Creating a Script Tool

Introduction to ArcPy.Mapping

More ArcPy.Mapping Techniques

Advanced Geometry Object Methods

Network Analyst and Spatial Analyst with ArcPy

Course Content - AI & ML using EOfactory Platform

Day 1 - Introduction to GIS and Remote Sensing
Significance of Remote Sensing in real world applications and industries
Fundamentals of Remote Sensing and GIS
Electromagnetic Spectrum
Types of resolutions in remote sensing
Introduction to multi-spectral imageries and their advantages

Day 2 - Introduction to EOfactory Platform

Introduction to EOfactory Platform and Ecosystem
Satellite data acquisition with EOfactory

Understanding Satellite Image Visualization and Metadata

Day 3/4 - Satellite Image Processing in EOfactory

Introduction to Analysis Ready Data (ARD)

ARD Workflow for Calculating Deforestation
ARD Workflow for Burned Area Analysis

Day 5 - Working With Vector Data in EOfactory

Introduction to EOfactory Map View and Vector Toolkit

Land Suitability Analysis with EOfactory Vector Toolkit

Day 6 - Introduction to Machine Learning and Artificial Intelligence for Geospatial Analysis

Introduction to Machine Learning and Artificial Intelligence for Satellite Imagery

Demo on EOfactory pre-trained Detection Models

Day 7/8/9/10 - Publishing Information for Business Intelligence with Live-Dashboards

Introduction to Live Dashboards for Business Intelligence

Introduction to EOF Studio Platform and Ecosystem

Maps & Charts Creation with EOF Studio

Building Interactive Dashboard for Land Cover Mapping

Building Interactive Dashboard for Change Detection

PostgreSQL with POSTGIS Extension & GIS Desktop into web GeoServer

PostgreSQL with POSTGIS

  • Introduction to PostgreSQL and PostGIS 

  • Installing PostgreSQL and PostGIS for Windows.

  • Administering PostGIS with pgAdmin III.

  • Creating new spatial databases.

  • The structure of a PostGIS database.

  • Importing existing data into PostGIS.

  • Creating new PostGIS layers.

  • Deleting PostGIS layers.

  • Backing up and restoring your PostGIS data.

  • Performance tips: Getting the most out of PostGIS.

  • Viewing and editing PostGIS layers in a GIS environment

GeoServer Topics

  • INTRODUCTION TO GeoServer 

  • What is Geoserver?

  • Introduction to data types and projection.

  • Web Administrator Interface.

  • Data Directory Structure

Getting Started

  • Download and Install GeoServer.

  • Deploying In Application Server.

  • How to add simple vector data to GeoServer.

  • How to add simple raster data to GeoServer.

  • Setup Apache Tomcat Server.

  • Deploy Geoserver with Apache Tomcat.

  • Load Vector and Raster data into Geoserver

DRAWING PRETTIER MAPS

  • Simple Styling.

  • Labelling features on the map.

  • Importing styles from QGIS.

  • Free marker templates

Advanced Styling

Running in Production

Other Web Services

Advanced Raster Management

Security

4CPD Points

Introduction to Web Map Application

Mode of Training

  1. Total Duration - 6 Months, Monday to Friday.

  2. Online Training Sessions (Daily 2 hours ) (Timing - 7am to 9am / 7pm to 9pm)

  3. Offline - Bangalore and Thiruvananthapuram.(10am to 12pm / 1pm to 3pm / 3pm to 5pm) Python & ArcPY Training will only be online

  4. Dedicated Trainer, Practical sessions. 

  5. If Classes are missed, then Class recordings will be shared for Online Sessions.

  6. Daily 2 Hrs (Need to have a laptop or Computer with Good Internet) 

  7. Live Training with dedicated Trainer

Who Can Attend the Training

  • Graduates, Post Graduates.

  • PhD Scholars.

  • Faculties.

  • Students who want to Get back to Work – GIS Domain.

  • GIS Experienced.

  • Corporate Employees & Companies

What you Get from this Training

  • Live Training with Experienced Trainers.

  • Trainers have 4 Yrs to 16 Yrs Experience.