Trainees Love To Learn By Doing

  • Trainees learn on their own schedule, not on someone else’s schedule
  • Exercises build competency, confidence, and a feeling of accomplishment
  • Realtime AI-based contextual assistance is available, whenever needed
  • Each trainee is assigned a personal expert overseer
  • Trainees are fully qualified and job-ready, when they graduate

Learning-By-Doing Is An Entirely New Way To Learn.

All of the training materials are placed in the cloud and are accessible through each trainee’s personal computer with web access. This allows trainees to start their training when they are ready, not based on a school’s calendar; and to learn when they have time, not on a fixed schedule dictated by someone else.

Trainees learn through short bite-sized lessons that are followed by practical exercises that confirm that they have not only understood the lessons but that they have made use of the new material. 

An Artificial Intelligence-based platform oversees trainees working through exercises and provides them with contextual help in the form of hints and templates, when needed. 

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 proprietary Artificial Intelligence-based Learn-By-Doing platform.

We are not aware of any other career training program that offers this kind of learn-by-doing approach.

Learning By Doing Has Huge Benefits For Trainees.

To begin with, trainees start their training when they are ready and they learn on their own schedule, not on someone else’ 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 trainees to set their own pace and finish on their 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 trainees’ grasp.

Exercises are not about dropping trainees at the deep end of the pool and expecting them to swim. Rather, realtime artificial intelligence-based contextual assistance is there to help when help is needed. That help includes analyzing the trainees’ work and providing guidance, hints, and even templates, as appropriate. A personally assigned expert overseer is also there for trainees, to make sure they are never left on their own.

When trainees graduate, they are job-ready because they 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. A lot of our trainees feel strongly that they need to work with any new skillset to become confident that they have mastered it.

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.