18 Week Coding Bootcamp
At the University of North Dakota
Thinking about learning to code and wondering if it's right for you? Take our short, 12-question assessment to see if software development may be a good fit for you!
Upcoming Start Dates
Front End Program: May 24th, 2022
Become a Software Developer
Learn high demand skills that will make you a competitive developer in a rapidly expanding industry.
This program is offered through the University of North Dakota in collaboration with Promineo Tech. Promineo Tech partners with community colleges to prepare participants for high-growth careers in software development.
Promineo Tech is a group of IT professionals and leaders who believe that quality education should be offered at an affordable price.
Select a Program
Most bootcamps run a Full Stack Software Developer program, but we found that it's better to specialize in either Front End or Back End. Because of this, we offer two separate, full-length programs - one for each stack. This way, students spend more time mastering their selected track and becoming strong candidates for a role in development.
Wondering whether a coding bootcamp is a good fit for you? Take this short, 12-question quiz to see if you think like a software developer!
Back End Software Developers are in charge of building applications that do the behind-the-scenes work. This typically involves receiving requests from a Front End application, processing the request, reading and writing to a database, and responding back to requests from other applications.
In this 18-week, Back End Software Development program, students take three courses to learn the skills and technologies necessary to enter the industry as a Back End Software Developer: Introduction to Java, Relational Databases with MySQL, and Web API Design with Spring Boot.
Skills and technologies learned include Java 1.8, Algorithms, OOP, Design Patterns, Unit Testing, SQL, DDL, DML, Database Concepts, JDBC, Spring Boot, Spring Data, REST, JPA, JWT, AWS, and more.
Front End Software Developers build the pieces of applications and websites that users see and interact with. This involves creating components that look good and provide functionality when a user interacts with them. It also involves interacting with the Back End applications and displaying data in an aesthetically pleasing manner.
The Big Data Engineering Program is designed to introduce the technically inclined student to the technologies and methodologies requested by hiring companies and used by real world data engineers. This program is fast paced and will cover a breadth of technologies, including Python programming, Hadoop and cloud-based services in Amazon Web Services (AWS). The student will also be introduced to such methods as data wrangling, munging, ingesting and modeling for analytics.
By the end of the program the successful student will be prepared for an entry-level position as a data engineer, Python programmer or business intelligence developer.
Data Engineering Prerequisites:
Comfortable with OS file system concepts
Experienced downloading and installing software
Experience working with data connections in Excel or other applications
Experience creating macros and functions in Excel or other application
Some exposure to programming is helpful but not required
Part-time. Flexible. Affordable.
Back End Software Developer
Students meet for class once a week at a set time in a virtual environment. In addition to the weekly class meeting, students meet once a week for a remote, 30-minute one-on-one with a mentor.
In the Back End Developer program, we cover technologies including, but not limited to: Java, MySQL, Git, CLI navigation, JUnit, JDBC, REST concepts, SpringBoot, Maven, JPA, JWT, log4j, debugging, AWS, and more.
Students will build multiple projects ranging from console applications to full blown Web APIs.
Front End Software Developer
Students will build multiple projects ranging from static websites to full blown, responsive, dynamic, front end applications.
Big Data Engineering
In the Data Engineering course, we cover technologies including Python, Data Structures, Error Handling, Logic, AWS, RDS, SageMaker, AWS Glue and Athena, EMR clusters, Hadoop, Hue, Hive, Spark, Amazon Aurora, Ingestion in AWS, Amazon Kinesis, Storage Concepts, Data Lake, Amazon Redshift, Normalization, Data Modeling, OLTP vs OLAP and Notebooks.
Congrats on making it through all the information on this page! At this point, you probably either know that you want to enroll and are wondering what the next steps are, or you still aren't sure if coding is for you. The answer to either question is to take a no-pressure, practice quiz by clicking the button below.