Overview of Training

This cornerstone program is designed for individuals who are serious about becoming skilled Python Developers and contributing meaningfully to modern software development teams.

You graduate with more than knowledge — you graduate with professional capability.

The program provides extensive hands-on coding practice combined with the theoretical foundation required to pass the Python Institute’s industry-recognized PCEP certification exam. In addition to technical skills, you develop the professional soft skills employers expect, including problem-solving, communication, adaptability, and disciplined work habits.

Upon completion, you are prepared to begin a successful career in Python software development.

A Proven Way to Master Python

Python cannot be mastered in a few weeks by passively watching video tutorials and attempting exercises alone. It is a professional discipline that requires structured, closely guided practice.

That is why NCLab’s methodology is called Instructor-Assisted Learning by Doing.

From Day 1, you are actively writing code. Our advanced AI-powered teaching platform monitors your progress in real time, evaluates your solutions, and provides contextual guidance, hints, and templates whenever needed. It also reinforces industry best practices, including writing clean, readable, and consistent code — the habits employers value.

You are never left guessing.
You are never left behind.

Personalized Career Support

When you enroll, you are assigned a dedicated Career Coach who:

• Develops a personalized training roadmap and timeline with you

• Supports you throughout the duration of the program

• Provides one-on-one guidance as you prepare for interviews and enter the job market

Because the program is fully self-paced, you and your Career Coach design a consistent learning routine that fits around your work and family responsibilities.

Structured for Mastery

Learning begins immediately and progresses in carefully designed stages. After demonstrating competence in one topic, you advance to the next. The curriculum has been refined over many years to ensure a smooth, confidence-building progression.

You are supported at every step.
You move forward with mastery.
And you graduate ready to perform.

Coursework

To begin with, given that Python Developers work extensively with numbers, you must know some math. If, in consultation with your Career Coach, it is determined that you need a basic middle school level math refresher, our optional free Workplace Math course provides hands-on review and practice to bring you up to speed. In small and simple steps, we review how to work with whole and decimal numbers, fractions, percentages, proportions, simple and compound interest, unit conversions, and solve simple workplace-related math problems. With an appropriate math foundation in place, you begin your Python Developer training, which consists of the following courses:

Computational Literacy (30 hours): In this module, you use a visual, beginner-friendly programming language to learn logic, algorithmic thinking, computational problem-solving, and the core concepts of procedural programming. You design algorithms, write code, identify repeating patterns, and use loops to repeat commands and sequences. You work with Boolean logic, conditional statements, and conditional loops, define and use custom commands and functions, break complex problems into smaller components, and incorporate random numbers and basic probability.

Introduction to Python (30 hours): Here, you receive a comprehensive introduction to Python. You solve programming problems of increasing complexity, using calculations, loops, conditions, local and global variables, functions, and basic exception handling. You become proficient with Python’s fundamental data structures—tuples, lists, sets, frozen sets, and dictionaries—while developing clean, professional code aligned with the PEP 8 style guide.

Working with Text (20 hours): You focus on text string operations, learning to create, clean, and format strings; work with special characters; use essential string methods; apply ASCII and Unicode tables; slice, copy, and reverse strings; utilize regular expressions; and extract information from large text files.

Plotting and Drawing (10 hours): You learn to use Python’s Matplotlib library for visualizations and graphics. You draw lines and polylines, format plots, create geometric shapes, adjust line styles and colors, fill closed areas, graph functions, plot parametric curves, and use nested loops to manipulate 2D arrays.

Software Project 1 (10 hours): You build a custom Graphics Editor using Matplotlib. This editor allows you to create and modify shapes—such as lines, squares, triangles, rectangles, and circles—fill them with color, and move, scale, or rotate them to form complex designs. Through this project, you strengthen your programming skills and gain insight into software design principles.

Working with Files (10 hours): You learn file operations in Python, including opening files, reading and processing data, and writing output to files.

Software Project 2 (10 hours): You develop an Image Viewer in Python that reads PBM, PGM, and PPM bitmap images, stores them as 2D NumPy arrays, and visualizes them with Matplotlib. You practice representing images as arrays, importing data from files, visualizing and manipulating arrays, and handling basic exceptions.

Data Visualization with Python (20 hours): You learn to create a variety of visualizations, including graphs, bar charts, pie charts, color maps, surface plots, wireframe plots, and contour plots. You also work with structured data on Cartesian grids and unstructured data on triangulations.

Data Analytics Essentials (10 hours): You gain essential data analytics skills for Python development. You work with Pandas data frames, create scatterplots, regression plots, and residual plots in Seaborn, perform simple predictions with linear regression, read various data file types, manage missing values, and clean datasets.

Computer Science Essentials (20 hours): You learn numeric systems—decimal, binary, octal, and hexadecimal—required for the PCEP exam. You practice counting, adding, and converting between systems, applying bitwise operators, and using Boolean logic.

Intermediate Topics (20 hours): You study advanced Python topics for the PCEP exam, including variadic and anonymous (lambda) functions, built-in functions (any(), all(), map(), filter(), reduce(), eval(), exec()), iterables, iterators, generator functions, and generator expressions. You also deepen your understanding of mutability, shallow vs. deep copying, and exception handling.

AI-Powered Software Development (10 hours): This is a hands-on, project-based course where you learn to design, build, and refine complex software by collaborating with AI. You are challenged with ambitious projects - such as implementing advanced computer games - and guided to use AI as a development partner. Through iterative problem-solving, you discover that AI-generated solutions are rarely perfect on the first try, requiring clear communication, careful debugging, and creative problem-solving. By working through multiple refinement cycles, you deepen your Python skills, gain practical experience in software engineering, and develop a realistic understanding of AI’s capabilities and limitations in real-world development.

PCEP Exam Preparation (10 hours): You take multiple practice exams to prepare for the Certified Entry-Level Python Programmer (PCEP) certification from the Python Institute, a credential that validates your Python programming skills and is recognized by employers.

Capstone Project: This project is the most important part of the training. It gives you an opportunity to demonstrate mastery of Python by creating software. This software becomes part of a coding portfolio, and serves as a proof of your Python skills for future employers. You also learn how to use Git and Github, as well as install and use an integrated development environment (IDE) on your device, which are mandatory skills for any software developer. The outcome of the Capstone Project is a well commented and robust Python software consisting of one or more Python source files. It uses exceptions and other safety and quality control mechanisms as needed. As part of the project, you provide detailed documentation which allows a user to use the software and test it. Once the project is complete, you write a 2-page report detailing the learning process, the scope of the project, and possible next steps. After that, you present the project to a group of peers and answer their questions.

Job Search Course (10 hours): As you approach the latter stages of your NCLab training, this essential short course equips you with the tools and strategies needed to land your dream job. You refine your professional assets – crafting a standout resume, portfolio, LinkedIn profile, cover letter, and elevator pitch – while leveraging AI to enhance your job search. Through hands-on guidance, you learn to find and research job listings, tailor your applications using AI, and submit three targeted applications. To ensure you’re fully prepared, you participate in mock interviews, gaining confidence for real-world opportunities. Throughout the course, your Career Coach supports you every step of the way, helping you complete key tasks that set you up for success.

Developing Soft Skills

At the same time as you develop Python programming (hard) skills, you also develop soft skills during your academic advice sessions and during your communications with your instructional support team that employers put a major emphasis on. These include professional communication, attention to detail, time management, critical and logical thinking, problem solving, perseverance, and adaptability, among others.

Program Syllabus

We invite you to look at our training program syllabus but we need to explain how it is different from other syllabi you might have or will look at.

While all syllabi show you what is taught in the training, our syllabus shows you both what you are taught and what you are required to make use of yourself. To an employer, this means that you have actually mastered each of the topics covered. Click here to access the syllabus and use the links in the table of contents to see a list of the topics that you will be required to master.

Advanced Python Developer Training

Upon completing the Python Developer Training, you can either get a job as an entry-level Python developer or continue by taking a follow-up Advanced Python Developer Training. This training program includes object-oriented programming, event-driven programming, advanced topics in Python, and a PCAP Prep Course that prepares you for the Python Institute's PCAP exam. More information is available upon request.

Experience NCLab’s Learn-By-Doing — You’ll Love It.

Click here to see how NCLab’s AI-based teaching platform is with you throughout your training, helping you do mini projects in realtime and providing you a feeling of accomplishment as you complete each mini project.

Get More Information

To talk with one of our product specialists about this program, schedule a call below, fill in the Get-In-Touch form or simply use the CHAT BOX at the bottom right of this screen.

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