Frequently Asked Questions
You’ll have support from:
Your mentor: A professional, industry expert will provide regular 1:1 guidance and accountability in a 30-minute video call at a time that works for your busy schedule.
Community teaching assistants: Dedicated help when you’re stuck and detailed feedback on each project.
Career coaches: Your career coach will help with resume reviews, mock interviews, job search strategy, etc.
Student advisors: Our advisors will answer questions, discuss goals, and provide tips and support on any aspect of the program.
And, finally, your classmates: You can form study groups, get feedback, and work on projects together!
You will receive a certificate of completion from the University of South Florida Corporate Training and Professional Education upon graduating. We also have an integration with LinkedIn, powered by Credly, so you can display a verified certificate, or badge, on your LinkedIn profile.
The course is completely online. All you need is an internet connection.
Our programs are designed to go “at your own schedule.” Most students spend 15-20 hours/week, but the program is asynchronous. So if you want to spend more time, you can finish it faster than average with the continued aid of our support teams.
All of the tools required to complete our programs successfully are included in the tuition.
Our enrollment advisors are here to help you with these tough questions. After you submit an application to any of our programs, our team of enrollment advisors would like to schedule a call with you to make sure you're a good fit for the program, but also help you find the right program for your career goals.
Fill out an application to any of our programs, and we’ll help you with these questions.
Yes, USF CTPE has partnered with Springboard to offer online tech bootcamps. Springboard developed the curriculum in partnership with industry experts and hiring managers, and administers and leads the courses. This partnership allows students like you to build technical skills while earning a certificate of completion from USF CTPE.
Our Enrollment Advisors can help you decide if one of our bootcamps is the right course for you.
Reach out at usf@career-bootcamp.com
Cyber Security Bootcamp
Becoming a cybersecurity professional takes time and effort. We've built a curriculum to teach you what you should know to land a job. The course length will vary for each student since the course is entirely flexible. We expect most students will finish the course in 6 months working at ~10-15 hours per week.
Spots are limited and we accept candidates on a rolling basis. We have a multi-step application process.
1. Interview via phone with an Enrollment Advisor
If your application and profile meet certain standards, we'll soon reach out by phone for a fit interview - be ready for a call shortly from a number with either a local area code or a 415 area code. This interview is required to gain provisional acceptance into the program.
2. Complete the technical skills survey
In parallel with your fit interview, we'll send you a survey via email to assess any knowledge gaps you may have before the program begins. Plan to complete this within 24 hours - most applicants take about 1/2 hour to do this.
3. Reserve your seat
Our program is very selective. If you are accepted, we will send you a registration link via email, to fill out within 24 hours. You will choose a start date and payment plan, and fill out your student profile to complete your enrollment and be eligible for mentor matching.
We offer three payment options. Explore detailed payment options on the cyber security bootcamp page, or speak to an enrollment advisor to learn more.
Upfront payment: You pay a discounted total payment upfront.
Month to month: Pay in four payments while in the program.
Climb Credit loan*: Pay a deposit at the time of enrollment. Make payments for a duration of 12 - 24 months depending on loan type. 0% APR options may be available to those who qualify.
Apply and speak with an enrollment advisor to learn more about your specific financing options.
*Please note: lending might not be available in all 50 states - view the full lending list.
Yes! If you are unable to pay for your education costs up front, financing through a private lending source may be a good option.
Some students choose to work with Climb Credit for financing. Speak to an enrollment advisor to learn more.
The final module of the course focuses on career components. In this module, you'll work 1:1 with your career coach to create a successful job search strategy, build your network, craft a cybersecurity resume and LinkedIn profile, practice mock technical and behavioral interviews, debrief after actual job interviews, and negotiate your salary. We expect you can land a cybersecurity job within six months of course graduation.
The course requires students to be 18 years of age or older and have a strong proficiency in English.
Data Analytics Bootcamp
We expect most students will complete the course in 6 months studying between 15-20 hours per week. The curriculum is built to teach you the skills needed to land a job.
Spots are limited and we accept candidates on a rolling basis. We have a multi-step application process.
1. Interview via phone with an Enrollment Advisor
If your application and profile meet certain standards, we'll soon reach out by phone for a fit interview - be ready for a call shortly from a number with either a local area code or a 415 area code. This interview is required to gain provisional acceptance into the program.
2. Complete the technical skills survey
In parallel with your fit interview, we'll send you a survey via email to assess any knowledge gaps you may have before the program begins. Plan to complete this within 24 hours - most applicants take about 1/2 hour to do this.
3. Reserve your seat
Our program is very selective. If you are accepted, we will send you a registration link via email, to fill out within 24 hours. You will choose a start date and payment plan, and fill out your student profile to complete your enrollment and be eligible for mentor matching.
We offer three payment options. Explore detailed payment options on the data analytics bootcamp page, or speak to an enrollment advisor to learn more.
Upfront payment: You pay a discounted total payment upfront.
Month to month: Pay in four payments while in the program.
Climb Credit loan*: Pay a deposit at the time of enrollment. Make payments for a duration of 12 - 24 months depending on loan type. 0% APR options may be available to those who qualify.
Apply and speak with an enrollment advisor to learn more about your specific financing options.
*Please note: lending might not be available in all 50 states - view the full lending list.
Yes! If you are unable to pay for your education costs up front, financing through a private lending source may be a good option.
Some students choose to work with Climb Credit for financing. Speak to an enrollment advisor to learn more.
Within the course, optional career units are offered. You can also work 1:1 with your career coach to create a successful job search strategy, build your network, craft a data analytics resume and LinkedIn profile, practice mock technical and behavioral interviews, debrief after actual job interviews, and negotiate your salary. We expect you can land a job within six months of course graduation.
This bootcamp is designed to transform beginners in data analytics into technically advanced data analysts. Prerequisites for the bootcamp include:
English fluency (spoken and written), as determined by interactions with the admissions team
Strong problem-solving and critical thinking skills
Data Science Bootcamp
We expect most students will complete the course in 9 months studying between 15-20 hours per week. The curriculum is built to teach you the skills needed to land a job.
Spots are limited and we accept candidates on a rolling basis. We have a multi-step application process.
1. Interview via phone with an Enrollment Advisor
If your application and profile meet certain standards, we'll soon reach out by phone for a fit interview - be ready for a call shortly from a number with either a local area code or a 415 area code. This interview is required to gain provisional acceptance into the program.
2. Complete the technical skills survey
In parallel with your fit interview, we'll send you a survey via email to assess any knowledge gaps you may have before the program begins. Plan to complete this within 24 hours - most applicants take about 1 hour to do this.
3. Reserve your seat
Our program is very selective. If you are accepted, we will send you a registration link via email, to fill out within 24 hours. You will choose a start date and payment plan, and fill out your student profile to complete your enrollment and be eligible for mentor matching.
We offer three payment options. Explore detailed payment options on the data science bootcamp page, or speak to an enrollment advisor to learn more.
Upfront payment: You pay a discounted total payment upfront.
Month to month: Pay in five payments while in the program.
Climb Credit loan*: Pay a deposit at the time of enrollment. Make payments for a duration of 12 - 24 months depending on loan type. 0% APR options may be available to those who qualify.
Apply and speak with an enrollment advisor to learn more about your specific financing options.
*Please note: lending might not be available in all 50 states - view the full lending list.
Yes! If you are unable to pay for your education costs up front, financing through a private lending source may be a good option.
Some students choose to work with Climb Credit for financing. Speak to an enrollment advisor to learn more.
Within the course, optional career units are offered. You can also work 1:1 with your career coach to create a successful job search strategy, build your network, craft a data science resume and LinkedIn profile, practice mock technical and behavioral interviews, debrief after actual job interviews, and negotiate your salary. We expect you can land a job within six months of course graduation.
This bootcamp is designed for students who have:
English fluency (spoken and written), as determined by interactions with the admissions team
Proficiency in math and statistics
During the application process, you’ll take a technical skills survey to determine your starting line:
Students without prior coding experience, with proficiency in math and statistics will be provided units that cover essential data science concepts, including Python, which you’ll need to succeed in the core curriculum.
Students with prior experience in statistics and programming, such as software developers, analysts, and finance professionals, will have access to the same introductory units, but they will be optional. You’ll be able to move right into the core curriculum.
Software Engineering Bootcamp
We expect most students will complete the course in 9 months studying between 15-20 hours per week. The curriculum is built to teach you the skills needed to land a job.
Spots are limited and we accept candidates on a rolling basis. We have a multi-step application process.
1. Interview via phone with an Enrollment Advisor
If your application and profile meet certain standards, we'll soon reach out by phone for a fit interview - be ready for a call shortly from a number with either a local area code or a 415 area code. This interview is required to gain provisional acceptance into the program.
2. Complete the technical skills survey
In parallel with your fit interview, we'll send you a survey via email to assess any knowledge gaps you may have before the program begins. Plan to complete this within 24 hours - most applicants take about 1 hour to do this.
3. Reserve your seat
Our program is very selective. If you are accepted, we will send you a registration link via email, to fill out within 24 hours. You will choose a start date and payment plan, and fill out your student profile to complete your enrollment and be eligible for mentor matching.
We offer three payment options. Explore detailed payment options on the software engineering bootcamp page, or speak to an enrollment advisor to learn more.
Upfront payment: You pay a discounted total payment upfront.
Month to month: Pay in five payments while in the program.
Climb Credit loan*: Pay a deposit at the time of enrollment. Make payments for a duration of 12 - 24 months depending on loan type. 0% APR options may be available to those who qualify.
Apply and speak with an enrollment advisor to learn more about your specific financing options.
*Please note: lending might not be available in all 50 states - view the full lending list.
Yes! If you are unable to pay for your education costs up front, financing through a private lending source may be a good option.
Some students choose to work with Climb Credit for financing. Speak to an enrollment advisor to learn more.
Within the course, optional career units are offered. You can also work 1:1 with your career coach to create a successful job search strategy, build your network, craft a software engineering resume and LinkedIn profile, practice mock technical and behavioral interviews, debrief after actual job interviews, and negotiate your salary. We expect you can land a job within six months of course graduation.
If you already have basic skills in HTML, CSS, and JavaScript you can test into an accelerated Core version of the curriculum.
If you don’t know how to code, you’ll learn everything you need to succeed in the Foundations+Core version of the program. All backgrounds are welcome.
UI/UX Design Bootcamp
Most students will complete the UI/UX Design Bootcamp in 9 months, devoting 10 hours/week. You should expect to take the full 9 months, but can aim to complete in less time if you are:
Highly proficient in design thinking
Ready to devote more time per week to complete the curriculum materials
Driven and disciplined with managing your study schedule
We are invested in helping you reach your career goals. Part of that commitment is making sure you know where to start, and which course is best to get you there.
The application process for the UI/UX Design Bootcamp is designed to evaluate a baseline of visual skills, analytical thinking, and the ability to empathize with users to synthesize and generate ideas. We're not looking for perfect answers—you're not a UI/UX design pro yet! We want to get a better sense of your instincts in each area.
Students must also demonstrate English fluency, as determined by initial interactions with the Enrollment team.
In a few simple steps, you can start your journey to a UI/UX Design career.
Submit your application: Fill out our application to get started. There is no application fee. It takes about a minute. You should expect a reply in 2-3 business days.
Fit Interview: Our enrollment team requires an interview to establish a baseline of visual skills, analytical thinking, and the ability to empathize with users to synthesize and generate ideas.
Complete the technical skills survey: We’ll send you a survey via email to assess any knowledge gaps you may have before the program begins. Plan to complete this within 24 hours of receiving it. Most applicants only need about 30 minutes to complete the survey.
Reserve your spot: If you pass the fit interview, we will send you a registration link. Choose the start date and payment plan that works for you (we can help!).
Join the program: You'll be one of the select few applicants to secure a spot in the UI/UX Design Bootcamp. Congratulations!
We offer three payment options. Explore detailed payment options on the UI/UX design bootcamp page, or speak to an enrollment advisor to learn more.
Upfront payment: You pay a discounted total payment upfront.
Month to month: Pay in five payments while in the program.
Climb Credit loan*: Pay a deposit at the time of enrollment. Make payments for a duration of 12 - 24 months depending on loan type. 0% APR options may be available to those who qualify.
Apply and speak with an enrollment advisor to learn more about your specific financing options.
*Please note: lending might not be available in all 50 states - view the full lending list.
Yes! If you are unable to pay for your education costs up front, financing through a private lending source may be a good option.
Some students choose to work with Climb Credit for financing. Speak to an enrollment advisor to learn more.
The final module of the course focuses on career components. In this module, you'll work 1:1 with your career coach to create a successful job search strategy, build your network, craft a UI/UX design resume and LinkedIn profile, practice mock technical and behavioral interviews, debrief after actual job interviews, and negotiate your salary. We expect you can land a job as a UI/UX designer within six months of course graduation.
All backgrounds are welcome as long as you can demonstrate strong visual, creativity, and communication skills (which are critical on a cross-functional design team).
Machine Learning Engineering & AI Bootcamp
It takes time and effort to become a machine learning professional. We've developed a curriculum that will teach you what you need to know in order to get hired. The length of each student's course will differ, as it is entirely flexible. We anticipate that the vast majority of students will finish in 9 months by working approximately 15-20 hours per week.
We accept applicants on a rolling basis, but spots are limited. Our application process has multiple steps, and new cohorts of students start the bootcamp monthly. Once you apply:
1. An enrollment advisor will call you for an interview
We’ll reach out for a fit interview if your application and profile meet admission standards. You’ll receive a phone call from either a local area code or a 415 area code. You must complete the fit interview to receive provisional acceptance.
2. A technical skills survey will be sent
We'll send you a pre-program survey through email to determine any knowledge gaps before the program begins in parallel with your fit interview. It takes about 90 minutes to complete this survey, and you should plan to complete it within 24 hours.
3. Email Registration link is sent to help - Secure your seat
We are a selective program. If you're selected, we'll send you an e-mail registration link to complete within 24 hours. At this point, you’ll decide on your start date and payment method, you’ll complete your student profile, and you will then be officially enrolled and eligible to be matched with your industry mentor!
We offer three payment options. Explore detailed payment options on the machine learning engineering & AI bootcamp page, or speak to an enrollment advisor to learn more.
Upfront payment: You pay a discounted total payment upfront.
Month to month: Pay in five payments while in the program.
Climb Credit loan*: Pay a deposit at the time of enrollment. Make payments for a duration of 12 - 24 months depending on loan type. 0% APR options may be available to those who qualify.
Apply and speak with an enrollment advisor to learn more about your specific financing options.
*Please note: lending might not be available in all 50 states - view the full lending list.
Yes! If you are unable to pay for your education costs up front, financing through a private lending source may be a good option.
Some students choose to work with Climb Credit for financing. Speak to an enrollment advisor to learn more.
The final module of the course explores various career components where you will gain insights into crafting an effective job search strategy, expanding your professional network, refining your resume and LinkedIn profile, honing your skills through mock technical and behavioral interviews, debriefing after real job interviews, and receiving guidance on compensation negotiation in one-on-one sessions with your career coach. Our goal is to equip you with the skills and knowledge needed to secure a rewarding position in the field.
The Machine Learning Engineering and AI Bootcamp is designed for students who are proficient in object-oriented programming (Python, Java and JavaScript). It is open to students who are working as software engineers or data scientists and students who have undergraduate degrees in computer science, physics, computational mathematics, statistics, or a similar field. The course is also open to self-taught programmers who display a high degree of technical savvy.