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Back-End Foundations: C++ and Python Course

Train to become a job-ready developer with C++ training to build strong programming fundamentals and get hands-on experience using AI tools to code smarter and faster. Next, continue into Python to learn how to create real programs and use AI-assisted coding, including tools like ChatGPT, to boost your productivity.

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                                345 Course Hrs
                            

                                Code
                                    GES3137
                            
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                                9 Months
                            
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speedSelf paced

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Overview

C++ skills are in high demand across various industries, including gaming, finance, aerospace, and automotive engineering. In 2025, there were over 559,000 job postings in the U.S. that required C++ knowledge, with average salaries for these roles around $159,600 per year, significantly higher than the typical range for software developers. As companies increasingly adopt artificial intelligence (AI) and modernize their systems, the overall job market for software development is expected to grow by 15% through 2034. Learning C++ today will provide you with long-term career stability and open the door to high-paying positions in software engineering, game development, and embedded systems.

This Python and C++ training bundle starts by establishing a strong foundation in C++. You will learn to write efficient, object-oriented programs, manage memory safely, and apply key concepts such as inheritance and polymorphism. Additionally, you will practice using AI tools to enhance your coding and debugging processes as you work toward creating a portfolio-ready command-line utility project. By the end of the C++ course module, you will be prepared to tackle real-world programming challenges or pursue more advanced certifications.

Python ranks among the top languages worldwide because it is easy to learn and powerful enough for web development, data analysis, scientific research, machine learning, and AI. Its clean and readable syntax makes it ideal for beginners, while its extensive library ecosystem supports professional-level work. The Python training module starts with the basics of Python programming and gradually progresses to advanced techniques. You will explore practical applications of Python, learn fast sorting techniques, work with data in JupyterLab, and practice mathematical operations along with data manipulation using tools like NumPy and pandas. You will also learn to organize your programs using object-oriented programming principles, ensuring your code is clean, modular, and reusable.

This C++ and Python programming course bundle concludes with modern AI-assisted coding techniques that demonstrate how tools like ChatGPT can enhance your speed, accuracy, and creativity. By the end, you will be equipped to create everything from simple scripts to more complex applications.

Objective

Outline

Course Activities

Quizzes: 31
Assignments: 85
Projects: 2
Exams: 2

Part 1 - Introduction to Python 3 Training

Lesson 1: Python Basics (Quizzes: 1, Assignments: 5)

Getting Familiar with the Terminal
Running Python
Running a Python File
Literals, Comments, and Data Types
Variables
Constants and Deleting Variables
Writing a Python Module
print() Function
Collecting User Input
Reading from and Writing to Files

Lesson 2: Functions and Modules (Quizzes: 1, Assignments: 2)

Defining Functions
Variable Scope
Global Variables
Function Parameters
Default Values
Returning Values
Importing Modules
Methods vs. Functions

Lesson 3: Math (Quizzes: 1, Assignments: 3)

Arithmetic Operators
Assignment Operators
Precedence of Operations
Built-in Math Functions
The math Module
The random Module

Lesson 4: Python Strings (Quizzes: 1, Assignments: 5)

Quotation Marks and Special Characters
String Indexing
Slicing Strings
Concatenation and Repetition
Combining Concatenation and Repetition
Python Strings are Immutable
Common String Methods
String Formatting
Formatted String Literals (f-strings)
Built-in String Functions

Lesson 5: Iterables: Sequences, Dictionaries, and Sets (Quizzes: 1, Assignments: 4)

Definitions
Sequences
Lists
Sequences and Random
Tuples
Ranges
Converting Sequences to Lists
Indexing
Slicing
min(), max(), and sum()
Converting between Sequences and Strings
Unpacking Sequences
Dictionaries
The len() Function
Sets
*args and **kwargs

Lesson 6: Virtual Environments, Packages, and pip (Quizzes: 1, Assignments: 2)

Packages with pip

Lesson 7: Flow Control (Quizzes: 1, Assignments: 3)

Conditional Statements
Compound Conditions
The is and is not Operators
all() and any() and the Ternary Operator
In Between
Loops in Python
break and continue
Looping through Lines in a File
The else Clause in Loops
The enumerate() Function
Generators
List Comprehensions

Lesson 8: Exception Handling (Quizzes: 1, Assignments: 2)

Exception Basics
Generic Exceptions
The else and finally Clauses
Using Exceptions for Flow Control
Raising Your Own Exceptions

Lesson 9: Python Dates and Times (Quizzes: 1, Assignments: 2)

Understanding Time
The time Module
Time Structures
Times as Strings
Time and Formatted Strings
Pausing Execution with time.sleep()
The datetime Module
datetime.datetime Objects
datetime.timedelta Objects

Lesson 10: File Processing (Quizzes: 1, Assignments: 4)

Paths
The pathlib Module
Opening Files
Writing to Files
Path Methods for Reading and Writing Files
Making Directories
Deleting Files and Directories
Renaming Files and Directories
The os Module
A Better Way to Open Files

Lesson 11: PEP8 and Pylint (Quizzes: 1, Assignments: 0)

PEP8
Pylint

Part 2 - Advanced Python 3 Training

Lesson 1: Advanced Python Concepts (Quizzes: 1, Assignments: 5)

Lambda Functions
Advanced List Comprehensions
Collections Module
Counters
Mapping and Filtering
Mutable and Immutable Built-in Objects
Sorting
Sorting Sequences of Sequences
Creating a Dictionary from Two Sequences
Unpacking Sequences in Function Calls
Modules and Packages

Lesson 2: Regular Expressions (Quizzes: 1, Assignments: 1)

Regular Expression Tester
Regular Expression Syntax
Python’s Handling of Regular Expressions

Lesson 3: Working with Data (Quizzes: 1, Assignments: 6)

Virtual Environment
Relational Databases
Passing Parameters
SQLite
SQLite Database in Memory
Drivers for Other Databases
CSV
Creating a New CSV File
Getting Data from the Web
XML
JSON

Lesson 4: Testing and Debugging (Quizzes: 1, Assignments: 2)

Testing for Performance
The unittest Module
Special unittest.TestCase Methods

Lesson 5: Classes and Objects (Quizzes: 1, Assignments: 5)

Attributes
Behaviors
Classes vs. Objects
Attributes and Methods
Private Attributes
Properties
Objects that Track their Own History
Documenting Classes
Inheritance
Extending a Class Method
Static Methods
Class Attributes and Methods
Abstract Classes and Methods
Understanding Decorators

Part 3 - Python Data Analysis with JupyterLab Training

Lesson 1: JupyterLab (Quizzes: 1, Assignments: 5)

Jupyter Notebook Modes
Markdown
Magic Commands
Getting Help

Lesson 2: NumPy (Quizzes: 1, Assignments: 3)

NumPy Arrays
Multi-dimensional Arrays
More on Arrays
Using Boolean Arrays to Get New Arrays
Random Number Generation
Exploring NumPy Further

Lesson 3: pandas (Quizzes: 1, Assignments: 5, Projects: 1)

Getting Started with pandas
Introduction to Series
np.nan
Accessing Elements in a Series
Series Alignment
Comparing One Series with Another
Element-wise Operations and the apply() Method
Series: A More Practical Example
Introduction to DataFrames
Creating a DataFrame using Existing Series as Rows
Creating a DataFrame using Existing Series as Columns
Creating a DataFrame from a CSV
Exploring a DataFrame
Changing Values
Getting Rows
Combining Row and Column Selection
Boolean Selection
Pivoting DataFrames
Be careful using properties!
Plotting with matplotlib
Other Kinds of Plots

Python Programmer Final Exam

Part 4 - Introduction to C++ Programming

Lesson 1: Getting Started with Modern C++ (Quizzes: 1, Assignments: 1)

History and Evolution of C++
Procedural and Object-Oriented Features
Program Structure Basics

Lesson 2: Core Syntax and Control Flow (Quizzes: 1, Assignments: 1)

Variables, Constants, and Type Deduction
Operators and Expressions
Basic Input and Output
Modern Output: std::format
Conditionals: if and switch
Loops: for, while, do-while

Lesson 3: Functions and Functional Features (Quizzes: 1, Assignments: 1)

Defining and Using Functions
Overloading and Default Parameters
Scope and Lifetime
Lambdas and Generics
consteval and constexpr
Error Handling Techniques

Lesson 4: Arrays and Strings (Quizzes: 1, Assignments: 1)

C-style Arrays and Strings Overview
Modern Arrays: std::array
Strings with std::string and std::string_view
String Formatting with std::format

Lesson 5: Memory and Pointers (Quizzes: 1, Assignments: 1)

Basics of Pointers and Addresses
Pointer Arithmetic
Dynamic Memory: new and delete
Smart Pointers: unique_ptr, shared_ptr, weak_ptr
Pointers vs. References

Lesson 6: Structured Programming (Quizzes: 1, Assignments: 1)

User-Defined Types: struct
typedef and enum
Passing Structs to Functions

Lesson 7: Standard Data Structures (Quizzes: 1, Assignments: 1)

Vectors and Lists
Stacks, Queues, and Deques
Maps and Sets
Unordered Containers
Common Algorithms: sort, find, Ranges

Lesson 8: Object-Oriented Programming (Quizzes: 1, Assignments: 1)

OOP Principles: Encapsulation, Inheritance, Polymorphism
Class Definitions
Member Variables and Functions
Constructors and Destructors
Access Control
Function and Operator Overloading

Lesson 9: Inheritance and Polymorphism (Quizzes: 1, Assignments: 1)

Base and Derived Classes
Inheritance Types
Virtual Functions and Dynamic Dispatch
Abstract Classes and Interfaces

Lesson 10: File I/O (Quizzes: 1, Assignments: 1)

File Streams and Concepts
Reading Files: ifstream
Writing Files: ofstream
File Modes and Error Handling
Working with Structured Data Files

Part 5 - AI-Assisted Python and C++ Development

Lesson 1: Overview of Artificial Intelligence and Large Language Models (Quizzes: 1, Assignments: 1)

Overview of Artificial Intelligence and Large Language Models
Large Language Models: Challenges and Risks
ChatGPT Overview and Use Cases
How ChatGPT Helps Developers Write Code
Prepping a ChatGPT Thread
The Role of AI in Programming
Getting Started with ChatGPT

Lesson 2: AI-Assisted Python (Assignments: 5)

Setting Up and Using Google Colab
Writing a Python Module
Debugging and Optimizing Python
Making Use of an API
Creating a Python Script with File I/O
Recommended Practice

Lesson 3: AI-Assisted C++ (Quizzes: 1, Assignments: 5, Projects: 1)

Writing a C++ Program with AI Assistance
Debugging and Optimizing C++
Using AI to Understand and Explore C++ Code
Creating a C++ Program with File I/O
Recommended Practice

C++ Final Exam

Requirements

Prerequisites

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FAQs

What is the average salary of a software engineer?

The average salary for a software engineer in the U.S. is about $131,000–$133,000 per year, according to data from the U.S. Bureau of Labor Statistics and Lightcast. Jobs requiring specialized skills like C++ can pay significantly more—around $159,600 annually. This field is growing fast, with overall demand expected to rise 15% by 2034, making it one of the most promising tech careers.

Do I need prior programming experience to take this course?

No prior experience with C++ is needed. If you have worked with any programming language before (like Python or JavaScript), that's helpful—but not required. The course starts with the basics and guides you step-by-step through practical projects.

What kind of job can I get after completing this course?

This course prepares you for entry-level roles such as junior C++ developer, software engineer, or embedded systems programmer. C++ is widely used in industries like gaming, finance, aerospace, and robotics, providing strong career potential and average salaries exceeding $100,000 per year.

How is AI used in this course?

You will learn how to use AI tools like ChatGPT to assist with writing, debugging, and explaining C++ code. This increases productivity and helps you solve problems more quickly—skills that are increasingly important in modern development workflows.

What is the average Python developer salary?

Built In reports an average base salary of $112,382, with total compensation of around $127,649 for Python developers. Jobicy lists an average of $107,000, ranging from $64,200 for junior roles to $192,600 for senior positions. These differences reflect factors like experience level, location, and company size.

What is a Python developer?

According to Indeed, a Python developer is responsible for utilizing the Python language to develop, debug, and implement application projects. They possess a deep understanding of Python and can accomplish various tasks using this versatile language. Python developers are also proficient in academic research, scientific computing, machine learning, AI, and web development. Their duties can include:

Developing and implementing application projects
Debugging code
Connecting programs to external web services

Additionally, they collaborate with front-end developers to seamlessly integrate their work into Python applications. By fulfilling these responsibilities, Python developers contribute to creating robust and efficient applications while enhancing their skills in server-side web application logic.

Does this course prepare you for a certification?

How long does it take to complete this course?

After you register, you will receive 9 months to complete the course. The time allotted for completion has been calculated based on the number of course hours.

When can I start this course?

This course is open enrollment, so you can register and start the course whenever you are ready. Access to your course can take 24-48 business hours.

What if I don't have enough time to complete the course within the time frame provided?

The time allotted for course completion has been calculated based on the number of course hours. However, if you are unable to complete the course, contact the student advising team to see what options you may have available to work out a suitable completion date. Please note that an extension fee may be charged.

What kind of support will I receive?

Our courses are designed to accommodate various learning preferences. Depending on the course structure, you may get different forms of support. Self-paced courses are designed to be user-friendly and independent, minimizing the need for external support. In courses with instructors, our direct platform support feature includes opportunities for questions, discussions, and remediation, with email and phone support available for select courses. Our student advising team is available to guide you on program requirements and administrative requests, but they do not provide assistance with course content. Our goal is to provide you with the necessary support for success, whether it's through self-paced exploration, direct communication, or guidance from our advising team.

What happens when I complete the course?

Upon successfully passing the final exam, you will be awarded a certificate of completion from the school or organization that you registered through.

Am I guaranteed a job?

ed2go courses will help you gain the skills you need to obtain an entry-level position in most cases. However, you should always research the job market in your area before enrolling.

Can I get financial assistance?

ed2go courses are non-credit, so they do not qualify for federal aid, FAFSA, and Pell Grant. In some states, vocational rehab or workforce development boards may provide funding to take our courses. Additionally, you may qualify for financial assistance if you meet certain requirements. Learn more about financial assistance.

How can I get more information about this course?

If you have questions that are not answered on our website, representatives are available via LIVE chat. You can also call us at 1-877-221-5151 during regular business hours to have your questions promptly answered. If you are visiting us during non-business hours, please send us a question using the "Contact Us."

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