Training Success Elements

  • Trainees master an entirely new set of 21st century automation skills;
  • Exercises build their competency and confidence, and provide them a feeling of accomplishment;
  • They have contextual assistance on a real time basis, throughout their training;
  • Personal coaching and instructional support are there throughout their training;
  • Upon graduation, they are positioned to step up into a high-growth career;
  • They never miss training sessions because of family and work responsibilities.

Overview of Training

This training program provides trainees must-have hard and soft skills to thrive in your 21st century workplace. 

Hard skills that trainees acquire include workplace math, working with data, computer programming, and 3D spatial skills. Soft skills include professional communication, time management, critical and logical thinking, problem solving, perseverance, and adaptability, among others.

Trainees need approximately 160 hands-on hours to complete this program. Because the training is self paced, they never miss training sessions because of family and work responsibilities.

Upon completing this training, they have acquired the skills needed to be very effective 21st century manufacturing workers. 

Mandatory Courses

  • Workplace Math 1 (WM1) This 40-hour course is for trainees who need a refresher on basic workplace math; it is waived for those who show Math fluency. It take away any anxiety trainees might feel towards math. In small and simple steps, the training reviews how to work with whole and decimal numbers, fractions, percentages, unit conversions, and solve simple workplace-related math problems. After completing this course, trainees are ready to take the ACT WorkKeys Applied Math exam which is highly valued by employers.
  • Data Literacy 1 (DL1) In this 40-hour course, trainees learn spreadsheet fundamentals and all about data sources, data types, data relationships, data structures, basic operations with data such as sorting, filtering and grouping, and other fundamental techniques of handling data.
  • Computational Literacy 1 (CL1) In this 40-hour course trainees learn how computers think and how they operate. They write simple programs for a virtual robot to solve various tasks. In this way, they learn essential skills such as how to design algorithms and type code, identify repeating patterns, and use loops to repeat commands and sequences of commands.
  • Spatial Literacy 1 (SL1) This 40-hour course is designed for those who are interested in 3D modeling and Computer Aided Design (CAD). They develop strong visual-spatial reasoning skills while actively building 2D and 3D models. Prerequisites: CL1

Elective Courses

  • Data Literacy 2 (DL2) This 40-hour course is designed for those trainees who’ve enjoyed DL1 and are interested in learning more about Data Handling. They learn additional ways to manipulate, clean, and combine data from multiple sources. They also learn basic statistics and ways to visualize data in graphs. Prerequisites: DL1
  • Computational Literacy 2 (CL2) This 40-hour course is designed for those who’ve enjoyed CL1 and are interested in learning more about computer programming. They learn about Boolean logic, conditional statements, conditional loops, how to define custom commands and functions, and how to break complex problems into simpler ones. Prerequisites: CL1
  • Spatial Literacy 2 (SL2) This 40-hour course is designed for trainees who want to learn more about 3D modeling and CAD. They learn advanced aspects of 3D modeling and create a capstone 3D model of your own choice under the supervision of a CAD expert. Prerequisites: SL1


What Our Trainees Say About Us

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.

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.