Python for AI & ChatGPT
(Real-World Applications)
(Rating based on 100+ reviews)
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Live: Instructor Led Training
Python is an easy-to-understand and good-to-start programming language. In this Python tutorial for kids or beginners, you will learn Python and know why it is a perfect fit for kids to start. Whether the child is interested in building simple games, creating art, or solving puzzles, Python provides the foundation to the kids or any beginner for their coding journey.
- 30+ Hours
- 15+ Videos
- Lifetime Access
- Real-World Application
- AI Projects
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Python for AI With ChatGPT (Real-World Application)
Technologies Taught
- Core Python Topics
- Data Analysis On Pandas & NumPy
- API Integration
- Matplotlib
- Data Visualization
- Learn To Code On Jupyter
- Learn To Code On Anaconda
- Real-World Applications
Course Unique Features
- 15+ live interactive sessions (For Beginners)
- 2 Hours of live session daily (Except holidays)
- Separate live interactive doubt-clearing sessions
- Implementation of Real-Time Projects
- Hands-On Exercises from Basic to Advanced
- Certification of Training Upon Completion
- Trained by experienced professional (Alumni of IIT Kanpur)
- 200+ 5 Star reviews
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
- Writing Python scripts and understanding basic syntax
- Handling data structures such as lists, dictionaries, tuples, and sets
- Utilizing control structures for decision making and looping
- Creating and using functions and modules
- Fetching and processing data using APIs
- Performing data analysis with Pandas
- Visualizing data with Matplotlib
- Developing a complete project from scratch
- Applying Python skills to real-world applications
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
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