You’ll Love To Learn By Doing

  • You’ll learn on your own schedule, not on someone else’s schedule
  • Exercises will build your competency and confidence, and provide a feeling of accomplishment
  • Realtime AI-based contextual assistance will be there, whenever needed
  • You’ll also be assigned a personal instructor that will guide and support you
  • Best of all, you’ll be fully qualified and job-ready, when you graduate

Our Learning-By-Doing Makes You Job-Ready.

You learn through short bite-sized lessons that are followed by practical exercises that confirm that you have not only understood the lessons but that you have put your new knowledge into practice. 

An Artificial Intelligence-based platform oversees you working through exercises and helps you with contextual help in the form of hints and templates, when needed. A personally assigned instructor is also there for you, to make sure you’re never left on your own.

NCLab learn-by-doing training is only possible because each of the courses has taken thousands of hours to build and because the courses are presented through a powerful Artificial Intelligence-based Learn-By-Doing platform.

Learning By Doing Has Huge Benefits For You.

To begin with, you’ll be able to start your training when you’re ready and you’ll learn on your own schedule. This is particularly attractive for people in the workforce who have to work around their employers’ and family commitments and responsibilities. The training is completely self-paced and allows you to set your own pace and finish on your own timeline. 

The acquisition of new knowledge is immediately followed by practical exercises that confirm a full grasp of each new subject matter. Using this approach, there is no need for final exams because the ability to complete the exercises confirms your grasp with the subject matter.

Exercises are not about dropping you at the deep end of the pool and expecting you to swim. Rather, realtime artificial intelligence-based contextual assistance is there to help when help is needed. That help includes analyzing your work and providing guidance, hints, and even templates, as appropriate. A personally assigned instructor is also there for you, to make sure that help is always available.

When you graduate, you will be job-ready because you will have the knowledge, experience, competency, and confidence needed to qualify for available jobs.

Acquiring Practical Experience In NCLab Training Programs

NCLab’s learn-by-doing training is quite different than other career training programs in which trainees spend the vast majority of their time listening to lectures, reading books, and taking exams rather than practicing what they are learning.

In much the same way that pilots need to get experience flying and not just listen to lectures and read books, Python Developers need to practice what they are learning during their training in order to be job-ready, upon graduation. Interestingly, while a pilot in training needs a plane to practice flying, Python Developers in training only need a computer to practice since it is the platform that they will be using when they get a job after their training.

NCLab career training programs are constantly being improved, based on the feedback provided by trainees and the institutions NCLab works with. 

Following are the key attributes of the NCLab career training programs:


Bite-Sized Lessons and Immediate Self-Assessment

Short bite-sized lessons are followed by immediate self-assessment exercises, which ensure that trainees get practice using what they have learned before moving on. Success is assured if they are willing to put in the effort to do the required work.

AI-Based Adaptive Feedback

Artificial Intelligence algorithms allow trainees to learn by doing and to see the results of their problem solving on an immediate basis. In much the same way that an in-person instructor can help an individual trainee that is having difficulty with a new concept, these powerful algorithms help trainees with sophisticated adaptive feedback throughout their learning.

Verified Learning LMS

 A built-in Learning Management System records all trainee learning activities and confirms that trainees have thoroughly learned the subject matter and have gathered sufficient Practical Experience to qualify for job openings. The information that the LMS collects helps each trainee’s assigned expert overseer to understand where the trainee is at all times. It also helps course developers identify places where the courses can be improved. Finally, verified learning obviates the need for final exams since the completion of exercises throughout the training is clear evidence of a full grasp of the educational materials.

A Creative Suite Where Trainees Create and Share Portfolio Artifacts 

Trainees have access to a powerful Creative Suite, where they can create their own projects and work through them to come up with solutions and save their results for later retrieval and sharing.


Please Take a Short Tour of NCLab’s Learn-By-Doing!



What Our Trainees Say About Us

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.

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.

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.

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.

Compliments to the NCLab team

“Please extend my compliments to the NCLab team if you can, and keep advocating for this type of learning, if at the very least as an option for people like me who learn well this way.” F. A.

I’m really enjoying this class

“The emphasis on working at your own pace removes the stress of a normal class, and I can work around my other classes. NCLab is much better than similar programs, such as DataCamp. Not only do I learn the material, I retain it. Each lesson uses all or most of the previous concepts, which provides additional practice and ensures that you don’t forget the previous material. This is one of the most enjoyable and informative programs I’ve taken.” N. L.

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.

I love it!

“I feel like I am actually LEARNING how to program, and the chunking method of the material is wonderful.” D.A.


“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.


More Information

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