• duration
    Duration
    18 Weeks
  • Category
    AI and Machine Learning
  • 15-Day
    Tuition Guarantee

Online Artificial Intelligence and Machine Learning Bootcamp

With integrations in healthcare, finance, technology, e-commerce, education, and beyond, the demand for IT professionals with artificial intelligence and machine learning competencies continues to grow, along with earning potential for individuals in the field. The Artificial Intelligence and Machine Learning Bootcamp from The University of Texas at Arlington offers an immersive and accelerated training platform for the next generation of technical professionals.

sub-video-placeholder

Tuition Guarantee

We are confident our immersive program will meet & exceed your expectations. However, if for any reason you are not satisfied within the first 15 days of your program, we will refund your tuition.

Artificial Intelligence and Machine Learning Bootcamp
Learning Experience

capstone-project

Immersive Capstone Projects

We work with industry experts, hiring managers, and AI and machine learning professionals to curate a leading-edge curriculum. Your portfolio will demonstrate your understanding and proficiency in AI and machine learning competencies and highlight project experiences from the 18-week program.

mentoring

On-Demand Mentoring Sessions

Meet with industry-expert mentors throughout your bootcamp experience to identify your career interests, goals, and opportunities. Mentoring sessions are also available for up to twelve months after program completion.

job-services

Career Support

Pacelearn’s career services will support your career growth. Online learners will have access to resume building resources and mock interviews, as well as internship and job opportunities.

Bootcamp Courses

Through our partnerships with top technology organizations, we’re able to offer leading-edge IT training and coursework designed for the future of the field. Each bootcamp course will prepare you with new skills and tools to pass top industry and career-relevant certifications.

  • 01
    Introduction to Python & Its Libraries
    Many AI and ML processes today depend on Python, a programming language used by developers to create automated solutions. Students grow familiar with Python as a general-purpose code. They’ll also learn how to identify and navigate Python libraries — and use the modules inside — to source code that can expedite complicated, code-dependent projects.
  • 02
    Introduction to Machine Learning
    Students learn to collect, examine and learn from data — all through a machine learning lens. This module teaches you how to refine raw data and arrive at actional conclusions, while evaluating how well your machine learning algorithms perform. You’ll also learn how to optimize active machine learning algorithms, to create even more effective data mining results.
  • 03
    First Models & Tests
    This hands-on module sees students create their first AI models, and test those models against real industry benchmarks to determine their effectiveness.
  • 04
    Common Machine Learning Models
    Students grow familiar with the most familiar machine learning models in this module. You’ll learn how to identify the machine learning model, or models, that best address a particular challenge you face. You’ll also learn how to use supervised, unsupervised and reinforcement learning algorithms to achieve specific results.
  • 5 & 6
    Neural Networks
    This two-part module immerses students in neural networks — computer systems meant to process data similarly to the human brain. You’ll learn the characteristics that separate a standard system from a neural network, and how you can begin creating a neural network for use in a business environment.
  • 07
    Natural Language Processing
    Engineers and developers use Natural Language Processing (NLP) to create systems dependent on human speech patterns. In this module, you’ll learn how to integrate NLP best practices to create systems that can process, and respond, to human language input.
  • 08
    AWS & SQL for Machine Learning
    Students learn the role that both AWS and SQL play in successful machine learning. You’ll identify how to integrate AI and ML features in cloud providers like AWS, and how to run Python and other code-based scripts in SQL servers
  • 09
    Designing & Implementing an Azure AI Solution
    In this module, students learn how to create and deploy AI solutions for business applications. You’ll learn to work alongside solutions architects to create end-to-end Azure AI solutions. After growing familiar with coding languages earlier in this program, you’ll now learn how to design solutions that integrate concepts like NLP and data science.
  • 10
    Capstone Project — Autonomous Cars
    Students will complete their capstone project and earn their AI & Machine Learning TFP Certification.

Choose Your
Learning Track

18 WEEKS

On-Demand
  • Hands-On Labs Virtual Hands-on labs sharpen your skills and prepare you for real world scenarios.
  • Mentor-Led Sessions Meet live with your mentor for guidance, discussion and deeper learning.
  • Capstone Projects Capstone projects will demonstrate to employers the skills and knowledge you acquired through the bootcamp.
  • Career Services Pacelearn’s career services assist students in their efforts in finding a role in Artificial Intelligence and Machine Learning through resume building, mock interviews, and internship and job opportunities access.
  • Annual Course Access With any learning track, students have 12 months’ access to 100+ courses.

On-Demand
AI & Machine
Learning Bootcamp

$4,250

Develop the artificial intelligence (AI) and machine learning (ML) skills to prepare for a dynamic career in healthcare, finance, technology, e- commerce, education and beyond.

The University of Texas at Arlington's Bootcamp Outcomes

The University of Texas at Arlington Artificial Intelligence and Machine Learning Bootcamp prepares students for successful IT careers. We pride ourselves on helping students achieve their career goals by empowering them with applied and in-demand skills and certifications.

  • portfolio
    Portfolio
    Building
  • real-world-objects
    Real World
    Projects
  • on-demand-mentoring
    On-Demand
    Mentoring
  • Learn Top Artificial Intelligence and Machine Learning Skills

    Study industry-aligned competencies and develop skills through hands-on projects

  • Earn Employer-Aligned Certifications

    Master the skills to pass top AI and machine learning certifications

  • Start Your New Career Path

    Complete the program prepared for an entry-level artificial intelligence and machine learning role and equipped with career resources from Pacelearn

Artificial Intelligence and Machine Learning
Immersive Program Enrollment Process:

Submit a Request
  • 1

    Our admissions team will review your form. If you have not scheduled a call with a career & admissions advisor by the time your form is reviewed, one of our team members will reach out to you to schedule a career consultation session.

  • 2

    You’ll have a career consultation session with a career and admissions advisor to verify that the Artificial Intelligence and Machine Learning Immersive program is the right fit for your career goals. Your advisor will also answer your questions, cover financing options, and discuss next steps.

  • 3

    Upon enrollment, you will receive access to recommended coursework to prepare for the start of classes and get a head start on your learning.

  • 4

    Begin learning new skills in The University of Texas at Arlington Artificial Intelligence and Machine Learning Immersive Program.

Career Services

This online bootcamp equips you with the necessary skills for an entry-level cloud engineering role. Pacelearn’s career services include resume building, one-on-one mentoring, and mock job interview sessions to help you prepare for your next role.

career-counseling

Career Coaching

Focus on achieving your career goals through four, 30- minute sessions with a career counselor.

interview

Interview Prep

Learn how to ace your artificial intelligence and machine learning interviews through constructive mock interviews.

resume

Resume Building

Build an IT resume and portfolio with the help of Pacelearn's career counselors.

Boost Your Earnings
and Advance Your Career

Our program prepares students for a range of artificial intelligence and machine learning roles. While salaries and positions will vary, explore the career opportunities typically available to our program graduates.

$73,000 - $156,000

The University of Texas at Arlington Bootcamp FAQs

What kind of bootcamps do you offer?

We offer UI/UX Design, Digital Marketing and AI & ML bootcamps for immersive and flex learning tracks.

Do I have to stop working or studying if I join a bootcamp?

No, our flexible training hours allow you to balance academic and professional priorities. Pacing options are available based on your needs.

What are the tuition costs for a Pacelearn bootcamp?

Bootcamps are $3,900. We offer a pre pay discount, a variety of monthly installment options and a deferred monthly installment to cover bootcamp tuition costs.

*Deferred monthly installment eligibility depends on U.S. state of residence.

How long does the bootcamp take to complete?

On average, flex and immersive bootcamps take about 18 weeks to complete.

Do you offer scholarships?

Bootcamp scholarships are not offered for The University of Texas at Arlington bootcamp programs at this time.

Are there any prerequisites?

No experience necessary. We cover everything from basic to advanced during the bootcamp

Can I get a job after completing a bootcamp?

Our bootcamps prepare students for entry-level roles. Our career services team is available to provide guidance to online learners in obtaining those roles.

Do you offer career coaching?

Yes, our career coaches will help you with resume building, mock interviews, and internship/job opportunities.

What are the system requirements for this bootcamp?

Students are required to have a computer operating system with Windows to access training labs. The current lab environment does not support the Apple M1 chip.

About

This Bootcamp is delivered and promoted by Pacelearn in partnership with:

The University of Texas at Arlington
Division for Enterprise Development
140 W. Mitchell St.
Arlington, TX 76010

Visit the Division of Enterprise Development, The University of Texas at Arlington website.

Ensuring Accessibility

The University of Texas at Arlington is committed to ensuring digital accessibility for people with disabilities. We are continually improving the user experience for everyone, and applying the relevant accessibility standards. If you still have questions or need assistance in determining which program may be the best choice in helping you attain your career goals, you can connect with an admissions advisor today at 855-957-5522 or Admissions@Pacelearn.org. Visit here for information on our accessibility standards.