PCAP™ - Python Developer Certification in US

Globally recognized training program

35 hours of Instructor-led training

11-course modules designed by industry experts

Flexible learning options for individuals & groups

Prepare for the PCAP™ exam with confidence

Pay with easy instalments

4.9/5

8760 Enrolled

Overview

What we are going to teach you:

Offers professionals the knowledge required to pass the Certified Associate in Python Programming (PCAP™) exam
Builds practical experience through hands-on projects and real-life case scenarios
Provides an in-depth understanding of key concepts such as control structures, data types, and object-oriented programming
Enhances skills in using Python modules, functions, and packages for streamlined coding
Includes career support and mock tests to boost confidence for certification and job readiness
Prepares learners for high-demand roles like Software Engineer, Data Scientist, and AI/ML Specialist

Learning Objectives

Upon finishing the training, you will master:

Learn the fundamentals of programming, such as lexis, syntax, semantics, literals, keywords, and basic input/output operations

Explore various data types and operators while performing numeric, string, Boolean operations, and type conversions

Apply conditional logic, looping constructs, and nested control structures to manage program flow efficiently

Work with lists, tuples, and dictionaries while mastering string handling and list comprehension

Understand how to define and call functions, use recursion, manage parameters, and convert generators into lists effectively

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Our Trainers

Learners Point has a reputation for high-quality training that makes a difference in people's lives. We undertake a practical and innovative approach to working closely with businesses to improve their workforce. Our expertise is wide-ranging with ample support from our expert trainers who are globally recognized and hold a diverse set of experiences in their field of expertise. We are proud of our instructors who take ownership of our distinctive and comprehensive training methodologies, help our students imbibe those with ease, and accomplish gracefully.

We at Learners Point believe in encouraging our students to embark upon a journey of lifelong learning and self-development, with the aid of our comprehensive and distinctive courses tailored to current market trends. The manifestation of our career-oriented approach is what we assure through a pleasant professional enriched environment with cutting-edge technology, and an outstanding while highly acknowledged training staff that uses up-to-date methodologies and quality course material. With our aim to mold professionals to be future leaders, our industry expert trainers provide the best in town mentorship to our students while endowing them with the thirst for knowledge and inspiring them to strive for professional and human excellence.

KHDA Certificate

Earn a KHDA attested Course Certificate. The Knowledge and Human Development Authority (KHDA) is the educational quality assurance and regulatory authority of the Government of Dubai, United Arab Emirates.

Learners Point Certificate

Earn a Course Completion Certificate, an official Learners Point credential that confirms that you have successfully completed a course with us.

Related courses

Curriculum

Fundamental concepts: interpreting and the interpreter, compilation and the compiler, language elements, lexis, syntax and semantics, Python keywords, instructions, indenting
Literals: Boolean, integer, floating-point numbers, scientific notation, strings
Comments
The print() function
The input() function
Numeral systems (binary, octal, decimal, hexadecimal)
Numeric operators: ** * / % // + –
String operators: * +
Assignments and shortcut operator

Objectives covered by the block (6 exam items)
Operators: unary and binary, priorities and binding
Bitwise operators: ~ & ^ | << >>
Boolean operators: not, and, or
Boolean expressions
Relational operators (== != > >= < <=), building complex Boolean expressions
Accuracy of floating-point numbers
Basic input and output operations using the input(), print(), int(), float(), str(), len() functions
Formatting print() output with end= and sep= arguments
Typecasting
Basic calculations
Simple strings: constructing, assigning, indexing, immutability

Conditional statements: if, if-else, if-elif, if-elif-else
Multiple conditional statements
The pass instruction
Building loops: while, for, range(), in
Iterating through sequences
Expanding loops: while-else, for-else
Nesting loops and conditional statements
Controlling loop execution: break, continue

Simple lists: constructing vectors, indexing, and slicing, the len() function
Lists in detail: indexing, slicing, basic methods (append(), insert(), index()) and functions (len(), sorted(), etc.), del instruction, iterating lists with the for loop, initializing, in and not in operators, list comprehension, copying, and cloning
Lists in lists: matrices and cubes
Tuples: indexing, slicing, building, immutability
Tuples vs. lists: similarities and differences, lists inside tuples and tuples inside lists
Dictionaries: building, indexing, adding and removing keys, iterating through dictionaries as well as their keys and values, checking key existence, keys(), items(), and values() methods
Strings in detail: escaping using the \ character, quotes, and apostrophes inside strings, multi-line strings, and basic string functions

Defining and invoking your own functions and generators
Return and Yield keywords
Returning results
None keyword
Recursion
Parameters vs. arguments
Positional keyword and mixed argument passing
Default parameter values
Converting generator objects into lists using the list() function
Name scopes, name hiding (shadowing), the global keyword

Import variants; advanced qualifying for nested modules
Dir(); sys. path variable
Math: ceil(), floor(), trunc(), factorial(), hypot(), sqrt(); random: random(), seed(), choice(), sample()
Platform: platform(), machine(), processor(), system(), version(), python_implementation(), python_version_tuple()
Idea, pycache, name, public variables, init.py
Searching for modules/packages; nested packages vs directory tree

Except, except:-except; except:-else:, except (e1,e2)
The hierarchy of exceptions
Raise, raise ex, assert
Event classes, except E as e, arg property
Self-defined exceptions, defining and using

ASCII, UNICODE, UTF-8, codepoints, escape sequences
Ord(), chr(), literals
Indexing, slicing, immutability
Iterating through,
Concatenating, multiplying, comparing (against strings and numbers)
In, not in
.isxxx(), .join(), .split()
.sort(), sorted(), .index(), .find(), .rfind()

Instance vs class variables: declaring, initializing
dict property (objects vs classes)
Private components (instance vs classes)
Name mangling
Methods: declaring, using, self parameter
Introspection: hasattr() (objects vs classes), name, module, bases properties
Inheritance: single, multiple, isinstance(), overriding, not is and is operators
Inheritance: single, multiple, isinstance(), overriding, not is and is operators
Constructors: declaring and invoking
Polymorphism
name, module, bases properties, str() method
Multiple inheritance, diamonds

List comprehension: if operator, using list comprehensions
Lambdas: defining and using lambdas, self-defined functions taking lambda as arguments; map(), filter();
Closures: meaning, defining, and using closures
I/O Operations: I/O modes, predefined streams, handles; text/binary modes
open(), errno and its values; close()
.read(), .write(), .readline(); readlines() (along with bytearray())

Defining your own classes, superclasses, subclasses, inheritance, searching for missing class components, creating objects
Class attributes: class variables and instance variables, defining, adding and removing attributes, explicit constructor invocation
Class methods: defining and using, the self-parameter meaning and usage
Inheritance and overriding, finding class/object components
Single inheritance vs. multiple inheritances
Name mangling
Invoking methods, passing and using the self-argument/parameter
The init method
The role of the str method
Introspection: dict, name, module, bases properties, examining class/object structure
Writing and using constructors
Hasattr(), type(), issubclass(), isinstance(), super() functions
Using predefined exceptions and defining your own ones
The try-except-else-finally block, the raise statement, the except-as variant
Exceptions hierarchy, assigning more than one exception to one except branch
Adding your own exceptions to an existing hierarchy
Assertions
The anatomy of an exception object
Input/output basics: opening files with the open() function, stream objects, binary vs. text files, newline character translation, reading and writing files, bytearray objects
Read(), readinto(), readline(), write(), close() methods

Frequently asked questions

Our PCAP™ Python Developer Certification in US validates your ability to understand core Python concepts, programming, and real-world coding practices. It proves your readiness to develop software using Python. Through our course, you gain strong foundational skills to confidently pass the exam and succeed in professional programming roles.

The PCAP™ certification exam includes 40-50 questions covering Python fundamentals, control structures, data structures, OOP, and exceptions. Learners have 65 minutes to complete the test. Our training provides structured lessons, practice quizzes, and exam simulations. We help participants prepare effectively and understand what to expect on test day.

By earning this credential, learners demonstrate their Python expertise to employers. It enhances our students’ resumes, boosts confidence, and opens doors to software development jobs. Our PCAP™ course prepares participants to meet industry demands, grow professionally, and gain a competitive edge in tech-related roles.

To register, students create an account on the Pearson VUE platform, choose the PCAP™ exam, and select a test date. We guide our learners through the entire registration process and offer support materials so participants feel confident and well-prepared to take the exam.

Our PCAP™ Python Developer certification in US helps aspiring developers, data analysts, testers, and system administrators. Our course suits anyone looking to strengthen Python skills. We prepare students to perform coding tasks, build software, and handle automation, making them valuable assets in tech teams.