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

Our training is different from all other career training programs in the way it makes trainees experienced and job-ready. NCLab learn-by-doing training is only possible because each of the courses has taken thousands of hours to build.

Each course delivers bite-sized knowledge that is immediately followed by some 200 tasks and a half dozen projects that confirm that trainees have a full grasp of the subject matter.

NCLab’s proprietary Artificial Intelligence-based platform oversees trainees work, analyzing their progress and helping them with contextual help in the form of hints and templates, when needed. A personally assigned instructor is also there for them, to make sure they are never left on their own.

When trainees complete their training, they are job-ready because they have the knowledge, experience, competency, and confidence needed to qualify for available jobs. There is no need for a final exam because their ability to complete the work confirms their mastery of the needed skill set.

Finally, NCLab training is completely self-paced and allows trainees to set their own pace and finish on their own timeline. This is particularly attractive for people in the workforce who have to work around their employers’ and family commitments and responsibilities. 

Acquiring Practical Experience In NCLab Training Programs

In much the same way that pilots need to get experience flying and not just listen to lectures, Data Analysts and Python Programmers need to practice what they are learning during their training in order to be job-ready, upon graduation. NCLab is unique in the way it provides them the experience that they need to be qualified and job-ready.

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 tasks and projects, 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 who is having difficulty with a new concept, these powerful algorithms help them with sophisticated adaptive feedback throughout their learning. A personally assigned instructor is also there for them, to make sure they’re never left on their own. 

Verified Learning LMS

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

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

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.

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.

I love it!

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

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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NCLab makes people job-ready, at a time when the demand for qualified people far exceeds the supply.