Raj Cloud Technologies

Python for AI & ChatGPT

(Real-World Applications)

Ratings 5
5/5

(Rating based on 100+ reviews)

UPDATE: Starting 4th November

Live: Instructor Led Training

Python for AI & ChatGPT Certification Training is meticulously designed by industry experts to help you develop foundational skills in Python programming, enhancing your career prospects. This course starts with the basics of Python and progresses to real-world applications, ensuring you gain practical experience. It also covers fundamental concepts and hands-on projects that will help you not only getting job but also be helpful in doing projects during employment.

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Python for AI With ChatGPT (Real-World Application)

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Course Curriculum

Are you ready to unlock the door to lucrative Python opportunities? Look no further! Our comprehensive online live training program is meticulously crafted to empower aspiring developers like you for Python basics mastery.

Immerse yourself in a transformative learning experience where theory meets practice in engaging, hands-on sessions. Led by industry experts, our job-oriented curriculum is tailored to instill the skills and confidence you need to excel as a sought-after software developer in today’s competitive market.

By the end of this immersive journey, you’ll emerge fully equipped to seize a multitude of Python opportunities with certainty, propelling your career to new heights. Don’t just dream about success—secure it with our Python for Beginners Training! Download the course topics below:

Introduction to Python and Setting Up the Environment

Introduction to Python

  • What is Python?
  • Why Python is popular?
  • Applications of Python.

Setting Up the Environment

  • Installing Python and IDE (e.g., Anaconda, Jupyter Notebook).
  • Introduction to Jupyter Notebook.

Basic Syntax

  • Writing and running your first Python script.
  • Understanding Python syntax and code structure.

Basic Data Types and Variables

  • Variables and Data Types
  • Numbers, Strings, Lists, Tuples, Dictionaries.
  • Variable assignment and naming conventions.

Basic Operations

  • Arithmetic operations.
  • String operations and manipulations.

Control Structures

Conditional Statements

  • If, elif, else statements.

Loops

  • For loops.
  • While loops.

Break and Continue Statements

Functions and Modules

Defining Functions

  • Syntax of functions.
  • Parameters and return values.

Modules and Packages

  • Importing modules.
  • Standard library overview (os, sys, math, date & time).

Working with Data

Lists and List Comprehensions

  • Adding, removing, and accessing elements.

Dictionaries

  • Key-value pairs.
  • Adding, updating, and accessing values.

Tuples and Sets

Introduction to the Projects and APIs

Project Overview

  • Introduction to potential projects.
  • Explanation of data and API use.

API Setup

  • Registering for API access.
  • Installing API library and setting up authentication.

Fetching Data with APIs

API Basics

  • Understanding API endpoints.
  • Making API requests.

Fetching Data

  • Retrieving and storing relevant data.
  • Basic exploration of the dataset.

Introduction to Pandas

Introduction to Pandas

  • Installing and importing Pandas.
  • DataFrames and Series.

Basic Operations with Pandas

  • Reading and writing data (CSV, Excel).
  • Data manipulation and analysis.

Data Preprocessing and Basic Visualization

Data Preprocessing

  • Cleaning and formatting the data.
  • Handling missing data.

Basic Visualization

  • Plotting data using Matplotlib.

Advanced Data Analysis

Advanced Data Analysis

  • Data transformation and normalization.
  • Grouping and aggregating data.

Project Poll

  • Conduct user poll for project selection.

Project Implementation (Part 1)

Project 1 Development

  • Initial implementation steps.

Project 2 Development

  • Initial implementation steps.

Project Implementation (Part 2)

Project 1 Development

  • Continuing with project logic.

Project 2 Development

  • Continuing with project logic.

Project Implementation (Part 3)

Project 1 Development

  • Enhancing functionality.

Project 2 Development

  • Enhancing functionality.

Advanced Data Handling with NumPy

Introduction to NumPy

  • Installing and importing NumPy.
  • Working with arrays.

Advanced Operations with NumPy

  • Array creation and manipulation.
  • Mathematical operations on arrays.

Finalizing the Projects

Finalizing Project 1

  • Ensuring completeness and accuracy.
  • Adding comments and documentation.

Finalizing Project 2

  • Ensuring completeness and accuracy.
  • Adding comments and documentation.

What you’ll learn

Course Instructed By:

Dr. K Sudheendra Rao

(Ph.D, IIT Kanpur)

An IIT Kanpur alumnus with a PhD and data science certification, experienced in developing and customizing data acquisition and analysis software. Created tools for internal use and a German company, adept at algorithmic software development and robust support services.Approved trainer by Raj Cloud Technologies.

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Python for AI with ChatGPT

15+ Live Sessions, 30+ Hours

Fees: 5,000 10,000

Timing: 8 AM to 10 AM, IST

Training Course Reviews

Meghana R
Meghana R
@meghana-r
Read More
I just want to share my experience about Natraj sir training, it is one of the best training I had ever on informatica. I learned lots of real time concepts from Raj sir training and also they are very useful in my job. The training is based on Realtime scenarios so that you will get familiar with the concepts of informatica and Oracle and Unix. Thank you Raj sir for giving us such a nice training and so much of confidence...
Akash Dhus
Akash Dhus
Read More
It's a fantastic course for a beginner also. I could feel the effort that was put into to make sure people understood. Thank you Raj, when I become one the greatest, I will remember this beginning. A wonderful experience . The lecturers are great with a very nice way on interacting and lots of useful material. Thank you for all your cooperation. Hope to see more of you in future. Thank you once again.
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