Introduction
In the fast-moving world of programming and data-driven applications, Python stands out as a versatile, high-demand language—and that’s the reason the Python Certified Professional course holds so much value. The keyword “Python Certified Professional” is introduced early to support SEO. Learning Python is like learning a universal language—you can use it across web development, automation, data science, scripting, microservices and more. It’s akin to knowing how to speak a language that nearly every tech team understands and uses to automate, analyse and build.
As organisations increasingly adopt Python for automation, data engineering, machine learning and backend services, the demand for skilled Python professionals is surging. For example, in India the average annual Python developer salary ranges from ~ ₹3 L for freshers to ~ ₹7.6 L for those with several years’ experience. upGrad In major tech-hubs like Mumbai, roles for Python developers are quite visible. Indeed
By the end of this course you’ll be proficient in Python programming fundamentals, popular libraries, frameworks (Django/Flask), automation, scripting, backend service development and basic data-handling. Importantly, you’ll also prepare for recognition via certification, making you stand out in job search and interviews. Whether you’re a beginner, someone switching careers, or a developer looking to upskill, this Python Certified Professional course gives you a robust foundation with portfolio outcomes.
Course Purpose & Fit
Purpose / Goals:
- Master Python programming from basics to intermediate/advanced level.
- Write efficient, clean Python code for scripting, backend, automation.
- Learn frameworks: Django or Flask for web/back-end, perhaps FastAPI.
- Understand data structures, file I/O, exception handling, modules, packages.
- Introduce basics of data handling (Pandas), scripting automation, deployment.
- Build portfolio projects (web app, automation script, simple backend service).
- Prepare for Python certification exams and job-readiness.
Who Should Enroll:
- Beginners with no or little programming experience who wish to start with Python.
- Developers experienced in another language wanting to add Python to their skill-set.
- Professionals in automation, scripting, backend, or data-oriented roles looking to upskill.
- Career switchers targeting roles such as Python Developer, Backend Developer, Automation Engineer.
Why Take This Course:
- Python has one of the highest growth rates in programming languages and wide applicability in web, automation, data. co+1
- Certification-aligned: shows employers your verified competency.
- Hands-on portfolio: you’ll build real Python projects (web app, automation).
- Strong demand in Mumbai and India generally for Python developers (entry to mid level).
- Clear roadmap from fundamentals to frameworks and deployment.
Curriculum
- 8 Sections
- 0 Lessons
- 10 Weeks
Expand all sectionsCollapse all sections
- Chapter 1: Python Programming Basics
- Learning objectives: Understand syntax, variables, data types, control flow.
- Python introduction, installation (keywords: Python basics, beginner Python tutorial)
- Variables, data types, operators (keywords: Python data types tutorial, Python operators)
- Loops, conditionals, functions (keywords: Python loops example, Python functions tutorial)
0 - Learning objectives: Understand syntax, variables, data types, control flow.
- Chapter 2: Data Structures, Modules & File I/O
- Learning objectives: Use Python built-in data structures and modules; work with files.
- Lists, tuples, sets, dictionaries (keywords: Python list tutorial, Python dict example)
- Modules & packages (keywords: Python modules tutorial, Python package structure)
- File handling, JSON, CSV (keywords: Python file I/O tutorial, Python JSON handling)
0 - Learning objectives: Use Python built-in data structures and modules; work with files.
- Chapter 3: Object-Oriented Python & Exceptions
- Learning objectives: Apply OOP concepts in Python; manage errors and exceptions.
- Classes, objects, inheritance, polymorphism (keywords: Python OOP tutorial, Python inheritance example)
- Exception handling, context managers (keywords: Python exception handling tutorial, Python with context manager)
0 - Learning objectives: Apply OOP concepts in Python; manage errors and exceptions.
- Chapter 4: Web Back-End with Flask/Django
- Learning objectives: Build a simple web application using Python framework.
- Introduction to Flask or Django (keywords: Flask tutorial Python, Django tutorial Python)
- REST APIs in Python (keywords: Python REST API tutorial, Flask REST example)
- Database integration (SQLAlchemy/Django ORM) (keywords: Python SQLAlchemy tutorial, Django ORM tutorial)
0 - Learning objectives: Build a simple web application using Python framework.
- Chapter 5: Automation, Scripting & Basic Data Handling
- Learning objectives: Use Python for automation tasks and introductory data handling.
- Scripting with Python (keywords: Python scripting tutorial, Python automation example)
- Introduction to Pandas for data handling (keywords: Python Pandas tutorial, Python data analysis basics)
- Automating workflows, file processing (keywords: Python automation script, Python file automation)
0 - Learning objectives: Use Python for automation tasks and introductory data handling.
- Chapter 6: Deployment, Testing & Certification Prep
- Learning objectives: Deploy Python apps; write tests; prepare for certification and job-readiness.
- Unit testing in Python (pytest/unittest) (keywords: Python unit testing tutorial, pytest Python example)
- Deployment of Python web app (keywords: deploy Python Flask app, host Django app AWS)
- Sample certification exam questions (keywords: Python certification exam, Python Certified Professional sample)
- Capstone project: Build and deploy a small backend/automation project (keywords: Python portfolio project, Python capstone tutorial)
0 - Learning objectives: Deploy Python apps; write tests; prepare for certification and job-readiness.
- Career & Salary Insights — Mumbai IT MarketRelevant Job Roles/Titles:
- Python Developer
- Backend Developer (Python)
- Automation Engineer (Python)
- Full-Stack Developer (Python + JS)
- Data Engineer (entry level Python)
- Freshers / Early Career: Typically starts around ₹3 L – ₹5 L per annum in Mumbai. For example, data shows average for Python developer in India for freshers ~₹3L. upGrad+1
- With 2-4 years’ experience: Salary may range around ₹6 L – ₹10 L+ in Mumbai. Indeed listings for Junior Python Developer in Mumbai show ₹3.5-5L/year for 1-2 years; for 2-5 years, ₹6-12L. Indeed
- Mid-to-senior levels (5+ years, specialisation in backend, microservices, data): can reach ₹12 L – ₹20 L+ depending on domain (FinTech, AI).
- According to one source for full-stack Python in Mumbai & Delhi: Entry-level ₹4.5-6.5L, mid-level ₹9-14L, senior ₹16-28L. Brolly Academy
- Python demand is vibrant: many roles in backend, automation, data in Mumbai.
- Recruiters look for proficiency in Python fundamentals, frameworks (Django/Flask), REST API development, database integration, scripting/automation, version control, good problem-solving.
- Certification helps differentiate, along with relevant portfolio projects.
0 - Practical OutcomesTools / Tech Stack Covered: Python 3.x, Flask or Django, SQL or NoSQL database (SQLite, PostgreSQL), Pandas (intro), Git, Unit testing (pytest/unittest), Deployment (Heroku/AWS free tier), Scripting tools (OS module, CSV/JSON handling). Hands-on Projects & Capstone:
- Build a console script automating file processing.
- Build a web API in Flask/Django: CRUD operations, database integration.
- Extend: Add authentication, containerise, deploy to cloud.
0
No prior programming experience is required; the course starts from fundamentals.
Python 3.x (latest stable version) will be taught
This course covers basics of data handling; full data-science/ML modules may require additional specialised courses.
Typically 6-10 weeks (part-time) including project work.
Yes — you’ll complete a capstone project which you can include in your portfolio
Python Developer, Backend Developer (Python), Automation Engineer (Python), Junior Full-Stack (Python + JS).
Usually the course fee covers training; certification exam fee may be separate. Confirm with provider.
It depends on vendor; many allow beginners but may expect you to have completed portfolio/project work.
Yes — basic deployment of a Python web app to cloud (e.g., Heroku or AWS) is included.
This course is structured, certification-aligned, includes live instructor/mentorship, hands-on projects, portfolio-ready work and job-market focus.
A built-in Python data structure that holds an ordered collection of items, mutable and allow duplicates.
A function that modifies another function or class, used to add functionality in a clean way.
Flask (or Django).
To verify that individual units (functions/methods) work as expected, reducing bugs and aiding maintenance
It checks if the script is being run directly (not imported) and runs code accordingly.
A separate environment to install packages and manage dependencies without affecting global Python installation.
Pandas
Version control: track changes to code, collaborate with others, revert to prior states if needed
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