Training Success Elements
- Trainees develop an entirely new set of 21st century hard and soft skills.
- Exercises build competency, confidence, and a feeling of accomplishment.
- Realtime AI-based contextual assistance is always be there, to help.
- Personal coaching and instructional support are there throughout the training.
- Upon graduation, trainees are positioned to grow in the new automation-based economy.
- Trainees never miss training sessions because of family and work responsibilities.
Computational On-Ramp Training Is All About Developing Computational, Math, Data, And Spatial Skills.
This cornerstone training program is designed for individuals who are determined to get a modern career and change their life. There are no prerequisites and no prior experience with data or automation is required.
The training begins with an Intake Assessment, followed by 160 hours of hands-on learning by doing. Each trainee is assigned a coach and an instructional support person who actively work with them and support them for the entire duration of the training. The actual time taken to complete the training varies depending on how many hours trainees can allocate for their training.
Each trainee is required to take four 40-hour courses from the list below to complete their 160-hour training program and receive the Computational On-Ramp Training Certificate. The first course is Computational Literacy 1 (CL1). The rest is determined collaboratively by the trainee and coach, based on performance in CL1, personal interests, and career goals.
Hard Skills Training
This training program is 160 hours in length and is all hands-on learning. The actual time taken to complete the training varies, depending on how many hours trainees’ schedule allows them to allocate to their training. Following is a short description of each course.
- 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.
- Computational Literacy 2 (CL2) In this 40-hour course, trainees learn 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.
- Workplace Math 1 (WM1) In this 40-hour course that is recommended for trainees who need a refresher on basic workplace math, trainees review how to work with whole and decimal numbers, fractions, percentages, unit conversions, and solve simple workplace-related math problems. After completing this course, they 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 basic facts about data sources, data types, data relationships, data structures, basic operations with data such as sorting, filtering and grouping, and other fundamental techniques of Data Analytics.
- Data Literacy 2 (DL2) In this 40-hour course, trainees learn how to work with larger and more realistic data sets, query and manipulate data, clean, aggregate, and analyze data, and combine data from multiple sources.
- Visual Intro to Python 1 (VIP1) In this 40-hour virtual robotics course, trainees who are interested in computer programming and/or robotics get acquainted with the basics of Python by programming a virtual robotic turtle to draw geometric patterns.
- Visual Intro to Python 2 (VIP2) In this 40-hour virtual robotics course, trainees who are interested in computer programming and/or robotics program a virtual robotic turtle to follow lines on the ground and navigate complex mazes with the help of color and distance sensors.
- Spatial Literacy 1 (SL1) In this 40-hour course, trainees who have an interest in 3D modeling and CAD design develop strong visual-spatial reasoning skills while actively building 2D and 3D models.
- Spatial Literacy 2 (SL2) In this 40-hour course, trainees who have an interest in 3D modeling and CAD design learn advanced aspects of 3D modeling and create a capstone 3D model of your own choice, under the supervision of a CAD expert.
Soft Skills Training
Developing soft skills is an important part of the Computational On-Ramp training program. The soft skills training takes place during coaching sessions, as well as during communications with instructional support personnel.
Soft skills that are honed include professional communication, time management, critical and logical thinking, problem solving, perseverance, and adaptability, among others.