Python AI Bootcamp - Learn2Pro ExpertsHub

Course Contents

Prerequisites

→ Need a Laptop/Desktop with an internet access
→ Any web browser (Preferably Google chrome web browser)
→ Valid Email ID (Preferably Gmail ID)
→ Notebook and Pen (mandatory)
→ Basic programming language is good to have (Not mandatory)

Session 1: Introduction

→ Why do we need Python?
→ Development Environment setup (python and IDE Installation)
→ Program structure and Execution steps
→ Interactive Shell and Executable or script files
→ User Interface or IDE walk-through, project setup
→ Virtual environment setup

Session 2: Data Types and Operations

→ Numbers
→ Strings
→ List
→ Tuple
→ Dictionary
→ Object creation and deletion
→ Object properties
→ Other Core Types
→ operators (assignment, comparison, bitwise and logical operations)

Session 3: Conditional Statements and Loops

→ Assignments, Expressions, and prints
→ Conditional statement and Syntax Rules (Indentation)
→ While and For Loops
→ Iterations and Comprehension

Session 4: File Operations

→ Opening a file (from and with keyword)
→ Using Files and File Modes
→ context manager

Session 5: Functions

→ Function definition and argument passing
→ Function Scope
→ Function arguments
→ Function Objects
→ Anonymous Functions

Session 6: Classes and Object Oriented Programming (OOPS)

→ Introduction to object oriented programming
→ Classes and instances
→ Classes method calls
→ Inheritance
→ Polymorphism

Session 7: Exception Handling

→ Default Exception Handler
→ Catching Exceptions
→ Raise an exception
→ User defined exception

Session 8: Introduction to Artificial Intelligence

→ Introduction to AI
→ Types of AI and its other categories of AI
→ Computer Vision
→ Machine Learning
→ Deep learning
→ Reinforcement learning
→ chatGPT & Prompting
→ Gen AI - Large language models (LLM)
→ Generate the code using chatGPT

Session 9: Data Science

→ Introduction to data science
→ cleaning and preparing data
→ Statistics in python
→ Understanding data visualization
→ EDA steps
→ Data formatting
→ Data frames
→ Scaling & Data scaling
→ univariate, variable and multivariate analysis

Session 10: Regression, Classification, Clustering Modeling

→ What is regression
→ Multivariate regression
→ Regression evaluation matrix, linear regression
→ Classification modeling and logistic regression

Session 11: NLP, Data Visualization, Feature Selection and Data Fine Tuning

→ What is NLP
→ Data visualization
→ Feature selection and data fine tuning

Session 12: Industry Talk

→ About tech industry and what do they expect from Engineer like you
→ Tech Industry Professional Standards

Session 13: Practical Projects (Activity Happens Throughout The Course)

→ Real time project (Design to implementation)

Course Schedule

Overall Duration: 5-6 Weeks

Weekday: 1 hour per day (Mon-Fri)

Available Languages: English, Tamil

Mode of Learning: Live Online Meet

We undertake class training room sessions for students/professionals at your premises over weekend

Certification available

To know about training batch slot availability and fees, enquire now (you believe that learn2pro academy fees will be less as possible in the market with 100% quality trainings)

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