Python Developer Certification Program

Python Developer Certification Masters Program

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4 months at 10 hrs/week

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Available, Course Completion Certificate



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Course lifetime

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Coaching and mentoring, Discussions forums, Graded assignments, Instructor led, Live online, Practical exercises, Tests & Exams




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Concepts Covered:

Python Programming, PySpark, Django, NLP, Machine Learning (ML), Artificial Intelligence (AI), Tokenization, Lemmatisation, Supervised Algorithms, Unsupervised Algorithms, Bayes Theorem, Inferential Statistics, Data Serialization, Django Framework

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Edureka’s Python Developer Certification Masters program will help you become an expert in Python and open doors to careers in disciplines such as Machine Learning, Data Science, Big Data, and Web Development.

Python is a premier, flexible, and powerful open-source language that is simple to learn and use, with sophisticated data manipulation and analysis tools. Python has been used in scientific computing and highly quantitative fields such as finance, oil and gas, physics, and signal processing for almost a decade. It is now the most popular programming language for Artificial Intelligence (AI), Robotics, Web Development, and Big Data.


This extensive Python Developer Certification consists of 7 Courses as a Learning Path.

1. Python Certification Training Course

Edureka’s Python training is tailored to meet the needs of industry experts. This comprehensive Python Certification course is designed to support you in understanding key Python programming topics such as Data Operations, File Operations, and OOPs. This live, instructor-led Python training will teach you how to grasp a variety of Python libraries, including Pandas, Numpy, and Matplotlib, to mention a few, as well as industrial application cases. Enroll today in this Python certification course and learn with Edureka to become a certified Python expert.

  • Live Class
  • 4 Weeks
  • 8 Modules
  • 24 Hours

2. Python Machine Learning Certification Training

Regression, clustering, decision trees, random forest, Nave Bayes, and Q-Learning are just a few of the machine learning techniques covered in Edureka’s Machine Learning Certification Training for Python. This Machine Learning Course will also teach you about statistics, time series, and the many types of machine learning algorithms, such as supervised, unsupervised, and reinforcement algorithms. You’ll be solving real-life case studies in media, healthcare, social media, aviation, and human resources throughout the Python Machine Learning Training.

  • Live Class
  • 6 Weeks
  • 12 Modules
  • 36 Hours

3. NLP Certification Training with Python

Natural Language Processing (NLP) Certification Training from Edureka will take you from the fundamentals of text processing to categorising texts using Machine Learning methods. Using Python’s most well-known NLTK package, you’ll learn about Tokenization, Stemming, Lemmatization, POS tagging, Named Entity Recognition, Syntax Tree Parsing, and other NLP principles. Once you’ve mastered NLP, you’ll be able to use the Nave Bayes method to create your own text classifier.

  • Live Class
  • 2.5 Weeks
  • 5 Modules
  • 15 Hours

4. Python Spark Certification Training using PySpark

Edureka’s Python Spark certification training is designed by top industry professionals to meet standards. This PySpark online course will help you learn the skills needed to become a successful Python Spark developer. This live, instructor-led Spark online course will help you learn essential PySpark topics through hands-on examples. This PySpark course is entirely immersive, allowing you to study while interacting with the teacher and other students. Enroll in this PySpark certification course right now.

  • Live Class
  • 6 Weeks
  • 12 Modules
  • 36 Hours

5. Python Django Training and Certification

Edureka’s Django course will teach you about the Django REST framework, Django Models, Django AJAX, Django jQuery, and other topics. Working on real-world use cases, you’ll master the Django web framework and gain Django certification at the end of the course..

  • Live Class
  • 5 Weeks
  • 10 Modules
  • 30 Hours

6. Python Statistics for Data Science Course

Edureka’s Python Data Science Training will help you learn Data Science principles from the scratch. This Data Science Python Course will also support you in mastering fundamental Python programming principles such as data operations, file operations, object-oriented programming, and different Python libraries required for Data Science such as Pandas, Numpy, and Matplotlib. This Python for Data Science certification training course will also teach you about different forms of Machine Learning, Recommendation Systems, and many other Data Science ideas to help you get started with your Data Science career.

  • Self Paced
  • 1 Week
  • 6 Modules
  • 9 Hours

7. Python Scripting Certification Training

Python scripting enables programmers to create apps easily and quickly. This course provides an introduction to Python programming that focuses on Python principles. It will assist you in carrying out operations on variable types. You will understand the significance of Python in a real-world setting and will be able to create applications based on the Object-Oriented Programming concept.

  • Self Paced
  • 1 Week
  • 5 Modules
  • 8 Hours


This Python Developer Certification Masters’ Program is a systematic learning route advised by leading industry experts that ensures you become skilled in cutting-edge technology and give your career a much-needed boost.  This intensive program consists of five live and two self-paced courses and was created by professionals to assist you in starting your career as a Python Developer.


While the Python Masters Program is created for Programmers, Developers, Technical Leads, and Data Scientists, it is also designed to assist graduate students who want to pursue careers in high-profile fields such as Web Development, Data Analysis, Artificial Intelligence, and Machine Learning. This Masters Program is intended to suit a wide range of professional backgrounds such as:

  • Python Developer
  • Data Analyst
  • Data Scientist
  • Machine Learning Engineer
  • Django Developer
  • Automation Tester
  • Automation Engineer

Python Advantages

It’s simple to read, learn, and write in.

It’s a strong programming language with an English-like syntax that is easy to learn. This makes the code more readable and understandable.

Because of Python’s ease of learning, it is often recommended to those just getting started with computer programming. When compared to other popular languages including C/C++ and Java, you can accomplish the same work with less lines of code.

The Support of a Huge Number of Libraries

Python’s standard library contains almost every function you’ll need to complete your project. So, you don’t have to rely on external libraries to run your program.

The Python language manager makes it much simpler to add more useful modules from the Python language index, even if you don’t use it already (PyPi). There are well over 200,000 of them.

Interpretation of a Language

In other words, Python runs code line by line since it’s an interpreted language. In the event of an issue, it immediately suspends the process and informs the user of the problem.

Even if the program has numerous faults, Python only displays one. This helps with debugging.

It is typed dynamically.

Until we execute the code, Python has no idea what sort of variable we’re dealing with. The data type is automatically assigned during execution. All variables and data types are declared automatically for the programmer.

Open-Source and Free Software

The OSI-approved open-source license governs Python. This means that it may be used and distributed without restriction. Python’s source code is available for anybody to use, alter, and even distribute. Useful for companies who wish to alter certain behavior and then use their edition for development.


Many programming languages, such as C/C++, need that you modify your code to work on other platforms. Python doesn’t work that way. Only once do you have to compose it and then you may execute it from any location.

Increased Productivity

In terms of productivity, Python is a great choice. Using Python, developers can concentrate on fixing the issue. They don’t have to spend a lot of time getting to grips with the language’s syntax or semantics. You get more done with less code.

Python Developer average salary in US is $120k.

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