Training Success Elements

  • Become an industry-certificated AI-empowered Python Programmer in as little as 4 months.
  • Do hundreds of AI-mentored mini projects to build your competency and confidence and give you a feeling of accomplishment.
  • You’re never left alone when doing work — our AI-based teaching platform is there throughout your training, helping you in realtime.
  • Be ready to take the Python Institute PCEP industry-recognized professional certification at graduation.
  • Study anywhere, any time — never miss training sessions because of family and work responsibilities.

STEP INTO A HIGH-PAYING 21ST CENTURY CAREER.

Python is the most popular programming language for applications in data analytics, machine learning, AI, business, and finance and it has become an enterprise-critical competency and it has only become more significant with the leveraging of powerful AI facilities. 

Over the past 15 years, we have perfected a gamified, learn-by-doing approach that ensures you enjoy learning while gathering the skills and practical experience that employers look for in job applicants.

Our training program has a close to 100% completion rate, in an online training world where widely-recognized training programs such as Google’s Data Analytics Certificate training have a less than 10% completion rate. If program completion is important to you, click here to take a deeper dive into how our training is very different from other online training programs.

Overview of Training

This cornerstone training program is designed for you if you are determined to become a skilled Python Developer and a respected member of a modern software development team. It provides you with enough Python coding practice and leveraging of AI’s facilities into your projects to make you job-ready, alongside enough theoretical knowledge to pass the Python Institute’s industry-recognized PCEP certification exam.

Python programming can’t be learned in a few weeks by passively watching video tutorials and then doing some coding exercises on your own. It is an advanced skill set which can only be mastered with a significant amount of closely supervised practice. NCLab’s proven training method is called Instructor-Assisted Learning By Doing.

Throughout your learning, you are assisted by a powerful Artificial Intelligence-based teaching platform that watches your every step, grading your work in real time, and helping you with contextual information, hints, and templates, as needed. The AI-based platform also teaches you best practices which includes conventions for writing readable and consistent code. 

Because your training is self-paced and individualized to your schedule, you are able to build a consistent training routine that does not interfere with your work and family commitments.

You learn actively from Day 1. After gaining confidence in one topic, you move to the next one. The progression has been improved and tuned for many years and it is so smooth that you never get lost and you are never alone.

Coursework

To begin with, given that Python Developers work extensively with numbers, you must know some math. If 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.

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 how the various topics that you will be expected 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 industry-recognized PCAP certification exam. More information is available upon request.

 

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.

What Our Trainees Say About Us

Challenging and fun

“This course feels like more of a challenge rather than a class, a lot more fun!” J. S.

Great flexibility

“I love the self-taught aspect of the course supplemented by the teacher. Instruction is excellent. The flexibility is superb.” A. R.

Well organized

“The feature I find most beneficial about this course format is that the notes are always one click away so I don’t need to keep track of writing down my own notes. I also like how we are able to learn at our own pace.” A. L.

Straight to the point

“The most beneficial parts of this hands on course is the ability to access the instructor and the strait-to-the-point lecture and side notes.” E. M.

Perfect teaching method

“As an adult with a busy schedule and the need to work around banking business hours etc.: this method of teaching is perfect for me and I would recommend it for basically anyone on any subject.” F. V.

I’m really excited

“I’m feeling very good about the course so far, I’m really excited, I’ve been able to apply some of the concepts to my research already!” M. L

Superb way to learn

“I really enjoyed the self-paced format of this training program. The material was presented clearly and concisely and allowed me to focus longer on concepts that were difficult, while glancing over concepts I was already familiar with.” A.C.

This is how I like to learn

“This is how I like to learn, at my own pace. I like the bite-sized tutorials and I feel a real sense of accomplishment when I complete the exercises that follow them.” M.J.

Totally worth it

“I just completed 3 courses: SQL Fundamentals, Advanced SQL, and Predictive Data Analytics with Python within the estimated hours that they had advised. It was a lot of work, but totally worth it!” Q.B

Great training!

“I watched videos, read short tutorials, viewed examples, ran demo programs, and then performed exercises that demonstrated my comprehension of the subject matter.” S.L.

The training is really great!

“Not easy but really informative. Practical experience was what I wanted and I feel that I got it.” F. Z.

The program is great

“I cannot compliment enough any training that involves students actually working on the problems rather than just listening.” A. S.

It’s working well

“It might sound weird, but I feel as though it teaches the right parts for Python. When I was learning Python before, there were a lot of steps that felt skipped but are explained now.” P.T.

I am thoroughly enjoying the training

“I feel like I am learning a skill, much more than I felt in other courses. The use of repetition, doing programming in pieces, and the entire way the platform is laid out are far superior to how my university teaches their main, introductory, programming courses. It is too bad that the philosophy of academia is standing in its own way.” K.L.

Yes!!

“I am really enjoying this course and learning python and I also like the way that it teaches the material. I’m very glad I took this course!” R. B.

Large amount of Python programming practice

“I really enjoyed and found the Python Fundamentals and Advanced Python courses incredibly useful. In fact, the large amount of Python programming practice questions in both courses helped me obtain my summer software development internship at Pfizer by preparing me for a variety of programming interview questions.” F. F.

I love going to work every day!

“Thank you for giving me the competency and confidence that I needed to get a dream job. With my limited formal education, I had serious doubts that I could master SQL and Python but learning by doing worked perfectly.” G.K.

One of my most engaging courses

“The Computational Literacy course offered by NCLab was one of the most engaging courses I took. I particularly enjoyed how interactive the course was. I found myself thinking about the lessons in my free time, trying to walk through problems in my head so that I would be ready for more difficult material when I logged back in. It was the perfect balance of challenging and rewarding. NCLab made computer programming approachable, which was especially helpful for me, since I had very little prior experience with coding.”  — F.E.

I’m in control of my pace of learning.

“NCLab allows you to work at your own pace which makes learning easier. It also deals with a lot of hands-on learning and practicing writing code which has made me a more confident computer programmer. Overall NCLab is a great program.” — A.S.

 

 

 

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Accelerate your career and create a better life ahead.

 

There will never be a better time to start your training.