Contact:
    +1 (732) 245-1325
    +91 6281 405276
     ramesh@vigilantcorpinc.com

Master
Python / PySpark

Curriculum
         ⁘ 13 Modules       ⁘ 70 Hours       ⁘ 100% Hands-on
🐍
Module 01
Python Foundations
Set up your environment and understand the core building blocks of any Python program.
Installation & VS Code setup
Variables, data types & type casting
Operators & expressions
Input / Output & string formatting
🔀
Module 02
Control Flow
Make decisions and repeat logic — the fundamental patterns every program relies on.
if / elif / else conditions
for loops & range()
while loops & loop control
List comprehensions
⚙️
Module 03
Functions & Scope
Write reusable, modular code with Python functions and understand how scope works.
def, parameters & return values
*args & **kwargs
Lambda functions
Decorators & closures
📦
Module 04
Data Structures
Master Python's built-in collections and when to use each one effectively.
Lists, tuples & slicing
Dictionaries & sets
Stacks, queues & deque
Nested structures & iteration
🏗️
Module 05
Object-Oriented Python
Learn OOP the right way — classes, objects, and design patterns explained clearly.
Classes, __init__ & self
Inheritance & polymorphism
Dunder methods & properties
Abstract classes & interfaces
⚠️
Module 06
Error Handling & Debugging
Write resilient programs that handle errors gracefully and are easy to debug.
try / except / finally
Custom exceptions
Logging best practices
Debugging with pdb & VS Code
📁
Module 07
File I/O & Modules
Read and write files, organize code into modules, and use the Python standard library.
Reading & writing text and CSV files
JSON and pickle serialization
Creating & importing modules
pathlib & os module
🌐
Module 08
Web APIs & Requests
Interact with real-world web APIs and start building data-driven applications.
HTTP & REST basics
requests library
Parsing JSON responses
Authentication & rate limiting
🔬
Module 09
Data Science with Python
Dive into the Python data stack — from arrays to visualizations and statistical analysis.
NumPy arrays & operations
Pandas DataFrames
Matplotlib & Seaborn charts
Exploratory data analysis
🤖
Module 10
Machine Learning Intro
Get hands-on with ML using scikit-learn — no math PhD required.
Supervised vs unsupervised learning
Train/test split & model evaluation
Linear & logistic regression
Decision trees & random forests
⚡
Module 11
Async & Concurrency
Write fast, non-blocking Python code with asyncio, threads, and multiprocessing.
asyncio & await / async
Threading vs multiprocessing
concurrent.futures
Async HTTP with aiohttp
🚀
Module 12
Capstone Projects
Apply everything you've learned by building three complete, portfolio-worthy applications.
CLI task manager app
Weather dashboard with API
Data analysis pipeline
Code review & deployment basics
🔥
Module 13
PySpark & Big Data
Scale your Python skills to process massive datasets using Apache Spark — the industry standard for big data engineering.
Spark architecture & RDDs
DataFrames & Spark SQL
Transformations & actions
Reading from HDFS, S3 & databases
Performance tuning & partitioning
Real-world ETL pipelines

Register For Training

Join our Python / PySpark program and unlock the power of cutting-edge technologies.

Trainer Profile

Mr. Ramesh Kandukuri will be leading the Generative AI training program. He brings over 25 years of IT experience in the United States, specializing in data technologies and advanced enterprise solutions.

Throughout his career, he has held roles such as Database Developer, Database Administrator, Data Warehouse Engineer, Solution Architect, and Data Integration Specialist. He has successfully contributed to several large-scale data and application migration projects.

His domain expertise spans:

  • Financial Services (Investment Banking, Retail Banking, Anti-Money Laundering)
  • Pharmaceuticals
  • Sales

In addition to his professional achievements, Mr. Kandukuri has conducted over 200 training batches across technologies such as:

  • Generative AI
  • Snowflake
  • Python
  • Unix Shell Scripting
  • SAP
  • Informatica
  • Business Objects
  • Cognos

With his vast industry expertise and proven training experience, he is well-equipped to mentor learners in mastering the fast-evolving field of Generative AI.

Contact Trainer at:
   +1 (732) 245-1325  |  +91 6281 405276  |  ramesh@vigilantcorpinc.com