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Training CUM Internship
3 Months - ArcGIS/Qgis, Python & Arcpy
3 Month Internship Program

Job Guaranteed Course

Internship Program

Certificate Course

July Month Admission Open - Offline - Thiruvananthapuram & Online - 6 Month

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3 Months GIS Training with Python & ArcPY

  • Students will Learn

  • GIS with Remote Sensing.

  • 3 Months Hands-On Training 

  • Software ArcGIS & QGIS or ArcGIS Pro

  • Python and ArcPY

Post Completion

  • Post Completion of Training and Certification.

  • Student will get an Opportunity to Work as Intern with AGSRT - Research Team lead by Dr. Salghuna

3 Months Internship

  • 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”

Topics covered - Basic to Advance Level

Basic GIS Topics

  • 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

  • Working with CAD data in ArcGIS Desktop

  • Introduction to Vector & Raster GeoProcessing

Advance GIS Topics

  • Introduction to Toolbox (ArcGIS & QGIS)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 - Basic & Advance

  • ArcPY

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. Working with CAD data in ArcGIS Desktop
Managing CAD data in ArcGIS
Using CAD data in ArcGIS.
Transforming CAD files.
Understanding CAD coordinate systems
Georeferencing CAD data using real-world coordinates.
Applying projection and world files to CAD data
Converting CAD data to geodatabase feature classes 

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

Advance GIS Topics

11. Introduction to Toolbox (ArcGIS & QGIS)
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) (QGIS)
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

Course Content - Python with ArcPY

Introduction to Python for ArcGIS.

Overview of Python
Python as a Programming Languages.
Basic Python

Core Python

Introduction
History, Features, 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

Advantage - AGSRT - GIS Training

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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.

  • Placement Assistance Training.

  • Guidance to Get Job

  • Labs for Practice, Assignments & Final Assessment for Certification

  • Internship and Live Project Assistance

Offline Batch - BLR & TVM

Batch Start Date - Bangalore

Online Batch Timing

​

Thiruvananthapuram -(5 Seats)
 

  1.  Batch 2 – July 15th

  1. 7am to 9am

  2. 11am to 1pm

  3. 3pm to 5pm

  4. 7pm to 9pm

Mode of Training

  • Online - Live Online Classes. Daily 2 Hrs
    (Need to have a laptop or Computer with Good Internet)

  • Dedicated Trainer, Practical sessions. One-on-One Live Training Session.

  • Slots will be Fixed and Daily 2 hrs Monday to Friday.

  • If Classes are missed, then Class recordings will be shared

Demo Video - Online Training

Fees , Registration and Admission

  • For Fees - Please Call or Whatsapp +919980083996 / +919108485512

  • Fill the Registration Form.

  • Pay the Fees in Single or Two Instalment

  • College Students and Group Students will get more Discounts.

  • Single Instalment Payment receive extra discounts

  • Each Month Special Discount will be available.

  • Weekend Classes are available however extra fees will be added.

  • Fees includes 18% GST within the Fees.

  • Referral Amount will be paid if a student or a college is referred.

  • Companies can contact for Corporate Training

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