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The Complete Python Developer Certification Course

Name: The Complete Python Developer Certification Course
Rating: 4.6 (5251 reviews)

Master Python and pass the PCEP-30-01 and the PCAP-31-02 Exams and become an industry ready python developer!

Role Play

Created byJob Ready Programmer

Last updated 11/2025

English

What you'll learn

MASTER the Content Required to Pass the PCEP-30-01 and the PCAP-31-02 Exams
Code Along With Me to PRACTICE and IMPLEMENT Everything You Learn
An In-depth Understanding of Object Oriented Programming
SOLVE 25+ Assignments with In-depth Solution Videos
Gain the Knowledge Required to Solve Any Python Problem
Learn the Python Coding Fundamentals
Go Over the Best Practices Used in the Industry
Apply for Python Developer Jobs with Confidence

Coding Exercises

This course includes our updated coding exercises so you can practice your skills as you learn.

Course content

15 sections • 70 lectures • 12h 48m total length

Configuring Our Dev Environment and Creating Our First Program10:13
Install Python 3.8 on macOS or Windows, choose PyCharm as the IDE, and create your first Python program that prints hello world and runs with exit code zero.
Python Developer Environment Setup1:17
Basics of Variables13:27
Learn how a Python program runs step by step and how to use variables as containers, along with assignment, printing, concatenation, and basic data types like strings and integers.
Dedicated TA Support1:39
Access dedicated TA support and the course Q&A to get answers within 24 hours. Tap into StackOverflow and fellow students for fast, crowd-sourced help that accelerates your Python learning.
Join our Online Community (Discord)0:45
Basic Datatypes in Python9:28
Discover Python's four primitive datatypes—int, float, string, and bool—and how the type function reveals a value's data type. Observe dynamic typing as variables change type across lines.
How to proceed in this course2:18
Embrace a beginning-to-end learning approach with granular explanations, practice assignments, and active problem solving to master Python concepts and prepare for jobs, interviews, or certifications.
Basic Arithmetic in Python4:02
Explore basic arithmetic in Python with integers and floats, including division, multiplication, subtraction, and the modulus operator, plus order of operations and parentheses, with examples like 10%3 and 10+3*9-4.
Indexing and Slicing Strings12:15
Master indexing and slicing strings in python, covering zero-based and negative indices, start:end:step slicing, apostrophes and quotes handling, and escape sequences for multi-line output.
Basic String Methods13:10
Explore the string data type and methods like upper, lower, and capitalize, including reassigning results. Learn boolean checks such as is digit, is numeric, and alphanumeric, plus startswith and endswith.
Formatting Strings Using the Format Method4:58
Explore how to format strings in Python with the format method, using placeholders and multiple arguments to fill zeroth, first, and second positions and produce meaningful outputs.
Strings are Immutable2:54
This lecture explains that strings are immutable and cannot be modified in place; learn to modify them by slicing and concatenating to form a new string and reassigning it.
Assignments Source Code and Setup0:56
Section 1 Assignments21:07
Practice section one Python assignments, solving problems using the remainder with the percent sign and applying string slicing and formatting. Open the PyCharm assignments project, solve first, then view solutions.

Lists in Python17:04
Define and manipulate lists in Python, a mutable data type that holds multiple values. Learn to pop, append, sort, reverse, slice, use len to count, and merge lists with plus.
Assignment: List Assignment3:14
Use list methods to extract last three elements from two lists, sort and reverse them, and build a final list that prints as d, b, a and 3, 2, 1.
Accessing Elements in Nested Lists6:51
Access and modify elements inside nested lists by indexing into inner lists, extract items like banana and Robert, and update values such as changing Robert to Joe.
Finding Index Positions in Lists and Counting Duplicates3:31
Learn to use list methods index and count to find an element's position and count occurrences, and note that lists are mutable while tuples are immutable, with tuples introduced next.
Tuples in Python9:01
Discover tuples in Python, defined with parentheses as immutable sequences; learn indexing and slicing, why assignment fails, and how inner lists inside a tuple can be modified.
Dictionaries in Python16:09
Master dictionaries in Python by defining keys and values with curly braces, accessing values by keys, and mutating with pop and clear. Nest lists and dictionaries and note tuple immutability.
Comparison Operators14:51
Explore comparison and logical operators in Python, including equality checks, truthy vs. different data types, and combining conditions with and, or, and not for clear, controlled program flow.
Section 2 Assignments17:46
Practice Python fundamentals with section 2 assignments, building data structures using lists, dictionaries, and tuples while applying loops and conditionals and accessing data to print salaries and ownership.

Introduction to Creating Functions26:52
Learn how to define and call Python functions using def, parameters, and arguments. Implement a remainder function with modulus, use return, default values, and docstrings to document code.
*args and **kwargs in Python10:38
Learn how to define Python functions with *args and **kwargs to accept unlimited positional and keyword arguments, enabling flexible summing and dictionary-style parameter access.
Basics of Variable Scope4:02
Explore variable scope, distinguishing global and local scopes with an age example. See how values inside a function don't alter the outer variable.
Scope and Nested Functions8:53
Explore nested functions and three scope levels—global, outer, and inner—demonstrating how age passes through and why inner functions stay inaccessible from the global scope.
Section 3 Assignments19:01
Practice section three assignments by implementing and testing functions for merging lists, separating strings, multi merge, last list, and key list items.

Control Flow: If & Else Statements12:38
Learn to control program flow with if and else statements, using comparison operators, conditions, and boolean expressions to decide which code paths to execute.
Control Flow: Elif Statements5:41
Explore control flow using if, elif, and else to choose code paths. See examples with cow, monkey, and ape, or conditions and else outcomes.
For Loops20:21
Master for loops to iterate over lists, tuples, and strings, using an iterator variable and indentation, and learn break and continue to control flow with if statements in Python.
Pass Statement in For Loops4:40
Explore the pass keyword as a placeholder in for loops to keep code valid when you plan to fill it later, and see how printing items works.
While Loops10:36
Master the while loop by defining a boolean condition, initializing a counter, printing values, and handling increment, break, and continue to avoid infinite loops.
Looping and Unpacking with Dictionaries and Tuples12:46
Loop through lists, tuples, and dictionaries using for and while. Learn unpacking key-value pairs with items, and compare mutable lists to immutable tuples.
Range, Enumerate, and Zip Functions11:11
Explore how to loop through data with the range function, enumerate function, and zip function, convert words with the list function, and control start, stop, and step values.
More Handy Functions and the Random Package15:18
Explore handy Python functions, including zip with multiple lists, unpacking tuples, and in checks for dictionaries, then use min, max, and random tools like randint and shuffle to transform data.
Accepting Input From a User9:49
Prompt users to type input via the console, convert input to the correct type, strip whitespace, and demonstrate handling strings and integers using casting.
Section 4 Assignments: Part 117:53
Practice mastering control flow with loops and if-else statements through Section four assignments, including 12 or sum to 12, night-shift pay logic, and 1-2-3 sequence detection.
Section 4 Assignments: Part 216:26
Learn grow string with a for loop to build, then tackle assignments: locate a six in the first four list elements and count last two character occurrences in rest.
Section 4 Assignments: Part 320:35
Explore section 4 assignments part 3 by solving two-string substring matches and a seven-to-eight ignore-sum problem, emphasizing control flow, slicing, and step-by-step debugging to strengthen Python skills.
Section 4 Assignments: Advanced Assignment20:48
Replace emails in the FR list with their numbers from the dictionary, add new emails with the next highest value, and update both the list and dictionary accordingly.
HW: Another Coding Puzzle To Flex Your Brain1:08

Revisiting the Difference between Methods and Functions8:05
Explore the difference between methods and functions in Python's object oriented programming. Learn how methods invoke on objects like list.pop and how the max function differs.
Classes and Objects11:21
Learn object oriented programming by building a vehicle class with an init method and body type and make attributes to create and use multiple instances.
Classes Attributes vs Object Attributes20:24
Explore how constructors initialize objects with self, distinguish instance variables from class attributes, and use a class counter to track created vehicles while keeping attributes fixed.
Calling Python Code That is Saved in Another File3:52
Explore object oriented programming in python by organizing code into a reusable vehicle class, saving it in a machines folder, and importing it into application.py to create multiple car objects.
Inheritance and Polymorphism18:13
Master inheritance and polymorphism by showing how a truck and motorcycle inherit from a vehicle, override the drive method, and enable shared behavior.
Abstract Classes and Methods11:44
Explain how abstract classes in Python prevent direct instantiation, require child classes to implement abstract methods like eat, and use inheritance with Animal, Monkey, and Bird examples.
Practical Application of OOP16:06
Explore object oriented programming with a practical Python example that builds a shortener base class and list, string, and dictionary subclasses to shorten to the first three items.
Double Under (Dunder) Methods5:54
Learn how double underscore dunder methods like __str__ and __len__ enhance a class, enabling readable string representations and meaningful lengths for objects such as an employee.
Python Script Files11:15
Explain how Python scripts are self-contained files that run code in the terminal. Show how to create, save, and run script files with python3, dot slash, optional shebang, and permissions.
Python Modules and Using Code from Other Files7:25
Learn to create Python modules in separate files, import functions from another file, and run multi-file programs from the command line, while exploring modules, packages, and Init.py concepts.
Python Packages16:41
Learn how Python packages organize code into hierarchical folders with __init__.py files, install and inspect packages with pip, and import modules from nested packages.
Understanding the if __name__ == __main__ Syntax11:13
Learn how to make a module work both as import and as a script, using the if __name__ == '__main__' pattern to define a starting point and actions.
Section 5 Assignment10:05
Create a parent animal class with three subclasses, dog, fish, and bird, each having name and age, with species-specific move and a generic eat, plus instance testing.
HW: Assignment Bank Account Management System OOP1:26

Requirements

Access to a computer with an internet connection and a passion to become a Python developer

Description

Welcome to The Complete Python Developer Certification Course!

Are you an absolute beginner eager to master Python and confidently pass the PCEP-30-01 and PCAP-31-02 exams?
Do you want to build a strong coding foundation and become an industry-ready Python developer?
Are you seeking hands-on practice instead of just watching endless videos?
Do you want clear guidance and practical assignments to truly absorb Python concepts?

If you answered yes to any of these questions, you’re in the right place.

What Makes This Course Stand Out?

Exam-Focused Roadmap: Specifically designed to help you excel in the PCEP-30-01 (Certified Entry-Level Python Programmer) and PCAP-31-02 (Certified Associate in Python Programming) exams.
Hands-On Learning: Over 20+ assignments and coding projects where you code alongside the instructor, reinforcing concepts through real-world practice.
Practical Explanations & “No Student Left Behind” Model: Every concept—variables, data types, control flow, OOP, and more—is broken down with step-by-step solutions and clear, digestible explanations.
Career-Focused Approach: Build the confidence and skill set to pursue roles in web development, data science, machine learning, or automation. Learn how Python can open doors to high-paying tech careers.
Beginner-Friendly: No prerequisites required. The course starts from the very basics, ensuring you have a solid foundation before moving on to intermediate and advanced topics.

Why This Course Is Essential:

Getting certified as a Python developer is one of the best moves you can make to enter the job market as a developer! Python is ranked as the 2nd most in-demand programming language in the world. It can be applied in web applications, data science, machine learning, self-driving cars, automation, and much more! Python is THE language to know if you're looking to get into programming, or even revamp your current career. The starting salary for a Python developer is around $75,000. This can quickly double to over $150,000 after 5-6 years of experience.

There are tons of Python courses out there. However, most of them expect you to learn through just watching and that is not an effective way to learn! I want my students to get their hands dirty and code along with me, and work on the 20+ assignments that I have spread out through the course. I hold your hand throughout the process and walk you through everything. My "no student left behind" model has worked for thousands of my students across all 15 of the courses that I have published.

This course has no prerequisites, and it is perfect for anyone that is looking to land a job as an entry level Python developer. I've structured it to be simple and straightforward- I waste no time, and dive right into the code with various assignments along the way. We start off with the fundamental topics such as variables, datatypes, strings, lists, dictionaries and so on. We then expand on these fundamentals to learn more comprehensive topics such as functions, if and else statements, for and while loops and thoroughly master Object Oriented Programming.

We finish off the course by covering classes, inheritance, python script files, file IO and more. At the end of each section, there are assignment lectures which give you the chance to practice everything that we have covered. In the assignment video, I give in-depth solutions and explain WHY we solve things a certain way. I don't want you to just sit back and watch a bunch of videos, I want you to get your hands dirty and practice writing code.

Latest Course Updates:

(Sept 2025): Added 3 Labs on File IO and Exception Handling
(July 2025) Added 32 New Coding Exercises for five course sections
(Mar 2025): Added 2 New Coding Exercises on Dynamic Function Arguments
(Jan 2025) : Added a Comprehensive OOP Coding Exercise on Circle Operations
(Nov 2024) : Added Source Code for ALL Lectures in the GitHub Repository
(2023) : Improved Online Community Support
(2022) : Added 2 New Python Homework Projects

Important Announcement: This course will be constantly updated with more assignments, quizzes, and lectures to enrich your knowledge of Python Programming Language.

Topics Covered in the Complete Python Developer Certification Course:

Getting Started with Python
- Installation and environment setup
- Variables and data types
- Strings and String methods
Control Flow & Data Structures
- if/else statements, for loops, while loops
- Basic I/O operations
- Lists, tuples, dictionaries, sets
Functions and Variable Scope
- Writing and calling functions
- Scope and nested functions
Object-Oriented Programming (OOP)
- Classes and objects
- Inheritance, polymorphism, encapsulation
- Python Packages and Modules
File I/O Operations & Exception Handling
- Reading/writing to files
- Working with OS Module and Command Line
Prepare for PCEP & PCAP Exams with Practice Test

KEY BENEFITS OF PYTHON MASTERY

High Demand, High Pay: Python ranks among the most sought-after languages worldwide, making it a surefire path to lucrative job opportunities.
Versatility: Use Python in web apps, data science, machine learning, and automation—one language, countless possibilities.
Strong Community & Ecosystem: Python has an extensive library ecosystem and active developer community, ensuring continuous support and innovation.
Personal and Professional Growth: Mastering Python cultivates problem-solving skills and coding best practices that will benefit you in all tech domains.
Certification Edge: Holding PCEP and PCAP certifications validates your expertise, giving you a competitive advantage in the job market.

IMPORTANT NOTE FOR STUDENTS:

Every exercise and its solution are provided directly in the lectures.
In several lectures, I ask students to pause the video and complete the assignment before resuming to watch my solution.
MAKE SURE YOU WORK OUT THE PROBLEMS ON YOUR OWN BEFORE MOVING ON TO MY SOLUTION!!

STUDENT REVIEWS

With over 21,000 enrolled students and a 4.6 star-rating, this is a Udemy best-selling course.

Don’t just take it from me, take it from other students that have taken this course.

★★★★★ Here’s some testimonials from students that took this course ★★★★★

"This course is fantastic! Instructor is excellent to explain details in easy ways. I do appreciate this course because it helped me a lot to solve many doubts I had. This course has lots of assignments. I do recommend to do it in a serious manner. I did it. This struggle helped me to build up my skill. If you hesitate to take this course, you must take it and you will never regret. Thanks a lot, Mr. Ahmad for providing this wonderful course!" - Nahoko

"By far the best online course I've taken so far. The instructor explains everything clearly and did a great job with the examples. Definitely worth every penny." - Julie

"It is excellent way to start learning python. I am loving it and it is driving me to go to advance level" - Vishal

"So far, I have learned 4 and half lessons and those basic fundamental knowledge match exactly what I expect. Very clear explanation and example regarding each python data type and structure. I just can't wait to learn more interesting content." - Lin

"Reasonably paced for most users, even seasoned developers should use this course. His videos are as close to live lectures as possible." - Elliot

"Imtiaz does a great job reminding us of the topics we already covered as they reappear. He also does a great job covering the topic on its initial presentation. His style gives a nice continuous flow that means I can focus on the topic at hand without running back to prior topics for clarity." - Niles

KEY TAKEAWAY

Mastering Python is one of the smartest moves you can make if you want to break into the tech industry or advance your current career. By the end of this course, you’ll be fully prepared to take on Python certification exams and tackle real-world programming challenges with confidence.

Enroll today to master Python. As always, I offer a 30 day money back guarantee if you're not satisfied, but you won't need it.

Who this course is for:

Anyone that wants to ace the PCEP-30-01 and the PCAP-31-02 Exams
Anyone that wants to get tons of practice in writing Python code
Anyone that wants to be a highly paid Python Developer
Anyone that wants to learn how to program in Python

The Complete Python Developer Certification Course

What you'll learn

Explore related topics

Coding Exercises

Course content

Introduction14 lectures • 1hr 38min

Coding Exercises: Python Basics0

Lists, Tuples and Dictionaries8 lectures • 1hr 28min

Coding Exercises: Lists, Tuples and Dictionaries0

Functions and Variable Scope5 lectures • 1hr 9min

Coding Exercises: Functions and Variable Scope0

Control Flow14 lectures • 3hr

Coding Exercises: Control Flow0

Modules, Packages and Object Oriented Programming in Python14 lectures • 2hr 34min

Coding Exercises: Modules, Packages and OOP0

Requirements

Description

Who this course is for: