Level

1.

Duration

5 days (3 hours/day)

Projects Covered

2 Mini projects

Training Details

Advanced Technology Oriented training will be provided initially.
2 projects will be completely guided and ask the candidates to implement one more module in any one project.

Certificate

Three Ceritificates will be issued to the candidates.
1. Internship Certificate
2. Project Completion Certficate
3. InPlant Training Certificate

Fee

Rs.3000/- per student

Level

2.

Duration

10 days (3 hours/day)

Projects Covered

2 Mini projects
+
1 Major project (IEEE 2021 Project)

Training Details

Advanced Technology Oriented training will be provided initially.
3 projects will be completely guided and ask the candidates to implement one more module any 2 projects.

Certificate

Three Ceritificates will be issued to the candidates.
1. Internship Certificate
2. Project Completion Certficate
3. InPlant Training Certificate

Fee

Rs.5000/- per student

Python Training 5 Days Syllabus

Day 1:Introduction

1. Why do we need Python?
2. Program structure
Execution steps
1. Interactive Shell
2. Executable or script files
3. User Interface or IDE

Day 2: Memory management and Garbage collections

1. Object creation and deletion
2. Object properties
Data Types and Operations
1. Numbers
2. Strings
3. List
4. Tuple
5. Dictionary
6. Other Core Types
7. Statements

Day 3: File Operations & Opps Concepts

1. Opening a file
2. Using Files
3. Other File tools
Classes and instances
1. Classes method calls
2. Inheritance and Compositions
3. Static and Class Methods
4. Bound and Unbound Methods
5. Operator Overloading
6. Polymorphism

Day 4

1.Project work -1

Day 5

1. Project work 2.

Matlab –image processing internship program (10 days)

Day 1

1. Introduction to matlab
2. Introduction to image processing
3. Installation of matlab software

Day 2

1.Command window, workspace, command history
2. Plots
3. Explanation of sup –Plotting functions

Day 3

1.Importing and displaying images
2. Converting between image types
3. Exporting images

Day 4

1. Image Filtering
2. Morphological Filtering

Day 5

1. Edge detection using different algorithms

Day- 6

1.Image segmentation 2. Graphical user interface development environment

Day 7

1.Project work -1

Day 8

1. Project work-2

Day 9

1.Project work-3

Day 10

1. Project work-4

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