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

Fastlane Entrepreneur

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

Free Workshop on Python

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

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

Training Time

7 pm to 9 pm (IST) 

9.30 am to 11.30 am (EST)

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

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

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

Python for Software Developers: Part 5

Python for Software Developers [ Multithreading  | Threading ]

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

Python for Automation Testing

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

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

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 )

Python for Automation Testing: Part 3

Python for Automation Testing Part 3 [ Selenium]

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

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

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

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

Machine Learning Session 1

Session 1

• Introduction to Machine Learning
• Machine Learning Algorithms
• Introduction to Linear Regression
• Case Study of Linear Regression

Session 2

• Introduction to Logistic Regression 
• Case Study using Logistic Regression.