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From Core Python & EDA to Generative AI & Autonomous Agentic Systems with 5 independent progressive levels.

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Python Programming – Beginner, Intermediate & Advanced

Python Fundamentals, EDA, Data Handling, OOP, Concurrency, APIs, PyTest & Production Architecture

Instructor-Led Online Cohort
38 Hours (19 Days × 2 Hours)
•
Live Mentor Sessions

Course Tracks (3 Progressive Tracks)

Step-by-step career pathway from foundational core concepts to production-grade enterprise deployment.

Beginner

Python Programming & Exploratory Data Analysis (EDA)

Build a strong foundation in Python programming.

Work with Python data structures, functions, and files.

10 Hours

(5 Days × 2 Hours)

Intermediate

Intermediate Python Programming & Data Applications

Apply intermediate Python programming concepts.

Work with advanced functions and data structures.

14 Hours

(7 Days × 2 Hours)

Advanced

Advanced Python & Application Development

Apply advanced Python programming techniques.

Design modular and maintainable applications.

14 Hours

(7 Days × 2 Hours)

Program Overview

Master Python programming across 3 progressive tracks: Beginner (core syntax, data structures & EDA), Intermediate (advanced NumPy/Pandas, OOP & APIs), and Advanced (FastAPI, testing, concurrency & Docker deployment).

This training program includes:

38 Hours (19 Days × 2 Hours) Live Instructor-Led Sessions

3 Progressive Tracks

15 Hands-on Coding Labs & Projects

1-on-1 Code Reviews & Capstone Defense

Verifiable Certified Python Professional & Application Developer

Placement Support & Mock Interviews

Class Recordings & GitHub Repositories

100% Practical Guarantee:

Interactive live environment with dedicated doubts resolution.
Target Career Roles

Python Application Developer

Python Backend Developer

Python Automation Engineer

Data Operations Specialist

Software Engineer – Python & FastAPI

What you'll learn

Write clean, idiomatic Python code from foundational logic to advanced architectural patterns.

Clean, analyze, and visualize complex datasets using NumPy, Pandas, Matplotlib, and Seaborn.

Design robust OOP software systems using encapsulation, inheritance, and composition.

Connect Python to SQL databases, execute transactions, and run parameterized queries.

Consume and build production REST APIs with FastAPI.

Handle concurrent batch tasks using multithreading, multiprocessing, and asyncio.

Write robust automated tests using PyTest, mocks, and fixtures.

Containerize Python applications using Docker and manage dependencies cleanly.

Requirements

• No prior programming experience required for the Beginner level. • For Intermediate/Advanced levels: familiarity with basic variables, loops, and functions. • Laptop with Python 3.10+ and VS Code installed.

Who this course is for:

• Students and beginners wanting to learn Python programming from scratch. • Python developers seeking intermediate and advanced software engineering proficiency. • Data analysts and engineers wanting to write clean, modular, production-ready code. • Backend developers building APIs with FastAPI and databases. • Engineers aiming to master testing, concurrency, and containerized deployment.

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Enroll in Python Programming – Beginner, Intermediate & Advanced
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Frequently Asked Questions

Frequently Asked Questions: Python Programming – Beginner, Intermediate & Advanced

Find clear answers to common questions about our live interactive classes, cohort schedules, project mentoring, and career assistance.

Student Support

1-on-1 Guidance Available

Still have questions?

Can't find what you're looking for? Reach out to our training advisors for personalized course guidance.

Yes. Track 1 (Beginner) begins with core Python syntax, basic logic, variables, and data structures. It requires zero prior programming knowledge.

The Intermediate track covers advanced NumPy/Pandas, OOP design, and SQL database programming. The Advanced track covers FastAPI, asynchronous programming with asyncio, PyTest unit testing, and Docker containerization.

Yes. You will learn SQL database connectivity and query execution, consume REST APIs, and build high-performance REST APIs with FastAPI and Docker containerization.

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