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Live Projects For Internship

πŸ”Ά  About GKTCS Innovations
πŸ”·   Live Projects For Internship
πŸ”Ά  Internship Registration Process
πŸ”·  Internship Test Demo
πŸ”Ά  10 Minutes Internship Test 
πŸ”·   Internship Schedule 
πŸ”Ά  Subscriptions Plans and Benefits
πŸ”·  Guided Internship Tour
πŸ”Ά  Questions and Answers
πŸ”· Summary and Conclusion

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Free Workshop on Python

  • Why Python?
  • What is Python?
  • Python Benefits
  • Python HandsOn
  • Python Applications
  • Career in Python
  • Career Guidelines

 

Training Time:

Afternoon: 3:00 pm to 4:30 pm
Break: 4:30 pm to 4:40 pm
Afternoon: 4:40 pm to 6:00 pm

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Python for Software Developers

  • What is Python?
  • Why Python?
  • Benefits of Python.
  • Applications of Python.
  • Installation of Python and Anaconda
  • Hands On Session On Python.
  • Object Oriented Programming
  • Career in Python
  • Questions and Answers

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Python for Software Developers: Part 2

Python for Software Developers[ Bank Application | Object Oriented Programming ] 

  • Object Oriented Programming
  • Object Variable Vs Class Variable 
  • Inheritance
  • Polymorphism
  • Private Data and Methods.
  • Menu Driven Programme 
  • Bank Application Demo

 


Training Time:

7.00 pm to 9.00 pm (IST)

9.30 am to 11.30 am (EST)

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Python for Software Developers: Part 3

Python for Software Developers[ Regular Expression Case Study ] 

  • File Handling
  • Exception Handling
  • User Define Exception  
  • Regular Expression 
  • Fileinput module
  • Glob
  • Regular Expression Case Study

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Python for Software Developers: Part 4

Python for Software Developer [ Built in Functions ] 

  • Built in Functions
  • Lambda, map, filter
  • Set, sorted, reversed
  • Zip
  • List  & Dictionary Comprehension

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Python for Software Developers: Part 5

Python for Software Developers [ Multithreading  | Threading ]

  • Threading Introduction
  • Threading Life Cycle 
  • Thread Modules
  • Thread Logging & Debug 
  • Thread Lock

 

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Python for Automation Testing

Python for Automation Testing [ Unitesting  | Test Cases | Test Suit  ] 

  • What is Testing?
  • Manual Vs Automation
  • Unitesting
  • Test Cases 
  • Test Suit

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Python for Automation Testing: Part 2

Python for Automation Testing Part 2 [ Selenium]

  • What is Selenium?
  • Installation
  • WebDriver
  • Selenium Python API
  • Filling in Forms ( Demo )

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Python for Automation Testing: Part 3

Python for Automation Testing Part 3 [ Selenium]

  • Locating Elements 
  • XPath Introduction
  • Link Text
  • Tag Name 
  • Using XPath Demo

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Python and Advance Python

Day 1

1. Introduction to Python
2. What is Python?
3. Why Python?
4. Python History
5. Python Installation
6. Python Data Types
7. Python Data Structure
8. Control Flow
9. Functions
10 . Summary and Conclusion


Day 2

1. Advance Python 
2. Object-Oriented Programming
3. Bank Applications Using OOPs
4. File Handling
5. Exception Handling
6. Summary and Conclusion

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Python For Data Science

Day1: Introduction to Python 

  1. What is Python?
  2. Why Python?
  3. Installation of Anaconda 
  4. Data Types
  5. Data Structure 
  6. Control Structure 
  7. Functions 
  8. Summary and Conclusion 
  9. Online Test 1 

Day2: Data Science Introduction 

  1. Data Scientist, Application of Data Science 
  2. Numpy 
  3. Array Creation using List, 
  4. Arange,  ones,  Zeros 
  5. Array Manipulation
  6. Array Data Types and Dimension
  7. Reshape Array
  8. Array Slicing
  9. Numpy Matrix Manipulation 
  10. Pandas 
  11. Series 
  12. Dataframe
  13. Summary and Conclusion
  14. Online Test2 

 Day3:  Data Science Case Study 

  1. Reading CSV and Excel File using Pandas 
  2. Data Frame Manipulation
  3. Matplotlib 
  4. Real Time Case Study using 
  5. numpy, pandas, marplotlib
  6. Descriptive Statistics
  7. Informative Statistics
  8. Data Cleaning
  9. Mean Value
  10. Standard deviation
  11. Correlation
  12. Outlier 
  13. Summary and Conclusion 
  14. Online Test3

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Artificial Intelligence

Session 1: Artificial Intelligence Introduction 

  • What is Artificial Intelligence?
  • AI vs ML vs DL
  • Why Artificial Intelligence?
  • Brief History
  • Applications of AI
  • Summary and Conclusion

 5 Minutes Break 

Session2: Machine Learning Introduction

  • What is Machine Learning?
  • Machine Learning Applications
  • Types of Machine Learning
  • Machine Learning Algorithms
  • Machine Learning Case Study (Demo). 
  • Summary and Conclusion
  • Online Test and Certificate

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Machine Learning

Day 1 (9th October)

πŸ”³ Introduction to Machine Learning

πŸ”· What is Machine Learning?
πŸ”Ά Machine Learning 
πŸ”· Why Machine Learning?
πŸ”Ά Machine Learning Applications
πŸ”· Machine Learning Algorithm
πŸ”Ά Introduction to Linear Regression
πŸ”· Case Study of Linear Regression
πŸ”Ά Summary and Conclusion

Day 2 (11th October)

πŸ”³ Introduction to Logistic Regression

πŸ”ΆWhat is Logistic Regression?
πŸ”· Linear vs Logistic Regression
πŸ”Ά Why Logistic Regression?
πŸ”· Type of Logistic Regression
πŸ”Ά Logistic Regression Case Study (Demo).
πŸ”· Summary and Conclusion

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Python Workshop for Internship

πŸ”Ά  What is Python?
πŸ”·  Why Python?
πŸ”Ά  Python Benefits
πŸ”· Python HandsOn
πŸ”Ά  Python Applications
πŸ”·  Internship in Python
πŸ”Ά  GKTCS Internship Demo
πŸ”· Summary and Conclusion

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Python for Data Science

πŸ”Ά What is Data Science? 

πŸ”· Role of Data Scientist

πŸ”Ά Skills Needed to Become Data Scientist

πŸ”· Data Science Applications and Career

πŸ”Ά Data Science Life Cycle

πŸ”Ά GKTCS Prime Subscription for Data Science

πŸ”· GKTCS Internship

πŸ”· Summary and Conclusion

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Python for Machine Learning

πŸ”Ά  What is Machine Learning?
πŸ”·  Machine Learning Applications
πŸ”Ά  Need for Machine Learning 
πŸ”· Google: Machine Learning Example
πŸ”Ά  Applications of Machine Learning
πŸ”Ά  Types of Machine Learning 
πŸ”·  Machine Learning Life Cycle
πŸ”Ά  GKTCS PG Level Courses for AIML
πŸ”·  GKTCS Internship 
πŸ”· Summary and Conclusion

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Business Analytics

  • Business Analytics Basics
  • Definition of analytics
  • Evolution of analytics
  • Need of Analytics
  • Business analytics vs business analysis
  • BA Opportunities / Careers

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Python for Automation

1. What is Python?
2. Anaconda Installation Steps ( Python 3.8 ) 
3. Why Python is So Popular?
4. Career in Python
5. Skills needed for Python Internship 
6. About GKTCS Online AI based Internship Platform 
7. Questions and Answers

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Fastlane Entrepreneur

πŸ”Ά  What is an Entrepreneurship?
πŸ”·  What is Fastlane Entrepreneurship?
πŸ”Ά  The Three Wealth Personalities.
πŸ”·  The Sidewalk Roadmap
πŸ”Ά  The Slow lane Roadmap
πŸ”·  The Fastlane Roadmap
πŸ”Ά  Side walker vs Slow lane vs Fast lane
πŸ”·  The Five Fastlane Commandments
πŸ”Ά  Entrepreneurship Career
πŸ”·  GKTCS Online Internship Program
πŸ”Ά  Questions and Answers
πŸ”·  Summary and Conclusion

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Online Internship and Live Projects

πŸ”Ά About GKTCS Innovations

πŸ”· Online Internship and Live Projects 

πŸ”Ά Internship Registration Process

πŸ”· Internship Test Demo

πŸ”Ά 10 Minutes Internship Test 

πŸ”·  Internship Schedule 

πŸ”Ά Subscriptions Plans and Benefits

πŸ”· Guided Internship Tour

πŸ”Ά Questions and Answers

πŸ”· Summary and Conclusion

Mouse over for more info
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