Pyton Track Training

`Python Advanced with AI ML

Week 1: Introduction to Coding and Python

Topic: Introduction to coding and Python.

Details:

  • Overview of programming concepts and Python's significance.
  • Installing Python and setting up the development environment.
  • Introduction to Integrated Development Environments (IDEs) like PyCharm, VS Code, or Jupyter Notebooks.

Week 2: Variables and Data Types

Topic: Understanding variables and data types.

Details:

  • Variables: Naming conventions and assignment.
  • Data types: strings, integers, floats, and booleans.
  • Simple calculations and printing output.

Week 3: User Interaction

Topic: Using the input() function for user interaction.

Details:

  • Reading user input.
  • Converting input types.
  • Using input in simple programs.

Week 4: Decision Making with If-Else Statements

Topic: Basic if-else statements for decision-making.

Details:

  • Syntax and structure of if, elif, and else.
  • Nested if-else statements.
  • Practical examples and exercises.

Week 5: Introduction to Loops

Topic: Introduction to loops for repetitive tasks.

Details:

  • While loops: syntax and use cases.
  • For loops: syntax and use cases.
  • Loop control statements: break, continue, and pass.
  • Simple loop exercises.

Week 6: Functions and Code Organization

Topic: Introduction to functions.

Details:

  • Definition and syntax of functions.
  • Parameters and return values.
  • The importance of functions in organizing code.

Week 7: Built-in and User-Defined Functions

Topic: Exploring built-in functions and creating user-defined functions.

Details:

  • Common built-in functions in Python.
  • Creating and using user-defined functions.
  • Scope and lifetime of variables.

Week 8: Working with Lists

Topic: Understanding and using lists.

Details:

  • Creating and modifying lists.
  • List indexing and slicing.
  • Common list operations (append, remove, pop, etc.).
  • List comprehensions.

Week 9: String Manipulation

Topic: Introduction to string manipulation.

Details:

  • String slicing and indexing.
  • String concatenation and formatting.
  • Common string methods (split, join, replace, etc.).

Week 10: Recap and Practice

Topic: Recap and practice exercises.

Details:

  • Review of previous topics.
  • Practice exercises and mini-projects.
  • Q&A session for clarification of doubts.

Week 11: Introduction to Dictionaries

Topic: Working with dictionaries for key-value data storage.

Details:

  • Creating and accessing dictionaries.
  • Dictionary methods and operations (keys, values, items, etc.).
  • Practical examples and exercises.

Week 12: Working with Files

Topic: Reading and writing data to files.

Details:

  • File handling modes (read, write, append).
  • Reading from and writing to files.
  • Practical file handling exercises.

Week 13: Exceptions and Error Handling

Topic: Introduction to exceptions and error handling.

Details:

  • Understanding exceptions.
  • Try, except, else, and finally blocks.
  • Raising exceptions.
  • Practical error handling exercises.

Week 14: Introduction to Object-Oriented Programming

Topic: Basic introduction to object-oriented programming.

Details:

  • Understanding classes and objects.
  • Creating classes and objects.
  • Attributes and methods.
  • Practical examples of OOP concepts.

Week 15: Introduction to AI ML

Topic: Introduction to AI ML

Details:

  • What is AI, ML and Deep learning
  • Evaluation of AI
  • AI Techniques

Week 16: Integration of AI Model with Chat GPT

Topic: Integreation of AI Model with Chat GPT.

Details:

  • Data preparation
  • Model Architecture selection
  • Model Tranining
  • Model Evaluation

Week 17: Final Recap and Practice

Topic: Recap and practice exercises.

Details:

  • Comprehensive review of all topics.
  • Advanced practice exercises and projects.
  • Final Q&A and course completion.