Training Success Elements

  • Exercises build competency, confidence, and a feeling of accomplishment
  • Realtime AI-based contextual assistance is available, whenever needed
  • Each trainee is assigned a personal instructor
  • Trainees are fully qualified and job-ready, when they graduate

Overview of Training

This training program consists of 3 or 4 college courses, depending on whether or not trainees have prior programming experience. Each course must be completed within 6 months of its start date. This career training program is completely self-paced and allows trainees the flexibility to study as much or as little as their schedule allows — they set their own pace and finish on their own timeline.

Trainees who have sufficient prior experience in computer programming go directly to Python Fundamentals (80 hours) a comprehensive course where they 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 software developer should know.

If, on the other hand, trainees have little or no prior experience with computer programming, then they begin the Python Developer Career Training Program with Introduction to Computer Programming (80 hours). This powerful visual course transforms the way they think. In computer programming, correct algorithmic (computational) thinking is way more important than the knowledge of a particular programming language. This course unlocks their computer programming potential, and makes it easy for them to learn Python.

The Python Developer Career Training continues with Advanced Python (80 hours) where trainees learn object-oriented programming (OOP) and selected advanced concepts including ternary operators, anonymous lambda functions, filters, maps, decorators, JSON, XML, multi-threading and multi-processing, event-driven programming, elements of computing, and basics of working with data.

Finally, the capstone course, Applied Python (80 hours) is a project-based course where trainees learn how to use Github and become proficient in using a Python IDE. They complete several projects under the supervision of an instructor in order to graduate and obtain a career certificate.

Syllabuses

Following are detailed syllabuses for each course in the Python Developer Career Training program. The level of detail covered in each of the self-paced interactive courses ensures that trainees are fully qualified to apply for Python Developer job openings.

 

What Our Trainees Say About Us

I love my new job!

“My boss encouraged me to take the training and now I’m really glad I did because I’m now doing data analytics work full time.” L.L.

Superb way to learn

“I really enjoyed the online/modular format of this course. 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.

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.

I am thoroughly enjoying the class

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.