Training Success Elements
- Exercises build your competency and confidence and give you a feeling of accomplishment.
- Realtime AI-based contextual assistance is available, whenever needed.
- You get personal coaching and tutoring throughout your training.
- You never miss training sessions because of family and work requirements.
- You are fully qualified and job-ready, when you graduate.
Overview of Training
This training program consists of 3 or 4 college-level courses, depending on whether or not you have prior programming experience. The time it takes to complete the training varies from person to person. Each course takes an average of 80 hours to complete. While the majority of our trainees complete the training program in well under a year and some complete it in as little as 6 months, your personal situation will determine how long it will take you to graduate.
The coursework includes Introduction to Programming, Python Fundamentals, Advanced Python, Applied Python, Linux, Git, Github, and Docker.
If you have little or no prior experience with computer programming, then you begin your training with Introduction to Computer Programming. This powerful visual course transforms the way you think. In computer programming, correct algorithmic (computational) thinking is way more important than the knowledge of a particular programming language. This course unlocks your computer programming potential and makes it easy for you to learn Python.
If, on the other hand, you have sufficient prior experience in computer programming, you go directly to Python Fundamentals, a comprehensive course where you learn Python by solving programming problems of gradually increasing complexity, ranging from simple calculations, working with text strings, loops, conditions, and variables, to file operations and data visualization. This course also teaches fundamentals of Computer Science which every programmer should know.
The Python Programmer Career Training continues with Advanced Python where you learn object-oriented programming (OOP) and selected advanced concepts including ternary operators, anonymous lambda functions, filters, maps, decorators, JSON, XML, multithreading and multiprocessing, event-driven programming, elements of computing, and basics of working with data.
Finally, the capstone course, Applied Python is a project-based course where you learn how to use Github and become proficient in using a Python IDE. You complete several projects under the supervision of a senior NCLab Python tutor in order to graduate and obtain a Python Developer career certificate.
Syllabuses
Following are detailed syllabuses for each course in the Python Programmer Career Training Program. The level of detail covered in each of the self-paced interactive courses ensures that you are fully qualified to apply for Python Programmer job openings.
What Our Trainees Say About Us
What Our Trainees Say About Us
Try Our Training -- We're Confident You'll Love It!
We have a powerful free self-assessment tool that helps you determine whether you are a natural to become a Python Programmer, using our learn-by-doing career training program. Fill in a Get-In-Touch form with the word "assessment" and we'll make it available to you right away.