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Artificial Intelligence and Machine Learning Bootcamp

Learn leading-edge data and programming skills to transform industries with the online artificial intelligence and machine learning. Explore the 23-week Artificial Intelligence & Machine Learning Bootcamp from Texas Tech University in partnership with QuickStart.

Your Lifestyle

Easily balance coursework with your academic and professional priorities.

Your Schedule

Flexible training hours allow you to set your own learning pace.

Your Future

Start a successful IT career in machine learning with the confidence that comes from applied training.

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  • duration
    Duration
    23 Weeks
  • duration
    Category
    AI and Machine Learning
  • duration
    On-Demand

Become an Artificial Intelligence and Machine Learning Professional in 23 Weeks

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 Texas Tech University offers an immersive and accelerated training platform for the next generation of technical professionals.

*non-credit
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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 23-week program.

mentoring

Virtual Office Hours

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

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Career Support

QuickStart’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.

  • Week 1-2
    Insight by Industry Leaders and Introduction to Python and Python Libraries
    Designed to help learners decode the mystery of artificial intelligence and its business applications, this introductory AI course provides an overview of concepts and workflows, machine learning and deep learning, and performance metrics.
  • Week 3-4
    Introduction to Machine Learning
    This practical course targets individuals who have introductory-level Python programming experience. The course will prepare students to apply efficient, well-known mining models to make sense of data using Python, one of the most popular programming languages among data scientists. Topics include data visualization, feature importance and selection, dimensionality reduction, clustering, and classification. All data sets used in this course are gathered as live-data or inspired by real-world domains that can benefit from machine learning.
  • Week 5-6
    First Models and Tests
    Explore the concepts of machine learning and understand how it’s transforming the digital world. Covering an exciting branch of artificial intelligence, this course will provide the skills you need to become a machine learning engineer and unlock the power of this emerging field.
  • Week 7-8
    Common Machine Learning Models
    This course focuses on the key mathematical concepts students will encounter in the study of machine learning and is designed to reinforce key concepts students have learned previously. While not intended as a full, foundational math curriculum, this course will serve as a refresher for students who have not recently studied math.
  • Week 9-10
    Neural Networks 1
    Designed for the future of programming, this course covers the primary disruptors in the tech industry: machine learning and Python. This course will equip students with an understanding of the scope and application of machine learning, Python, complex logic and data structures, and machine learning processing.

    This deep learning course with TensorFlow certification training is developed by industry leaders and aligned with the latest best practices. You’ll master deep learning concepts and models using Keras and TensorFlow frameworks, and implement deep learning algorithms, preparing you for a career as deep learning engineer.
  • Week 11-12
    Neural Networks 2
    This course focuses on the key mathematical concepts students will encounter in the study of machine learning and is designed to reinforce key concepts students have learned previously. While not intended as a full, foundational math curriculum, this course will serve as a refresher for students who have not recently studied math.
  • Week 13-14
    Natural Language Processing
    The Natural Language Processing module covers concepts like statistical machine translation and neural models, deep semantic similarity models (DSSM), neural knowledge base embedding, deep reinforcement learning techniques, and more.
  • Week 15-16
    AWS – SQL for Machine Learning
    The course will cover the foundations of cloud computing and databases using AWS & SQL. This course will prepare students to deploy their machine learning models in a real-world context.
  • Week 17-19
    Designing and Implementing an Azure AI Solution
    This course will prepare students to create Azure AI solutions. Specifically, this course will cover how to build a customer support chatbot using artificial intelligence from the Microsoft Azure platform, including language comprehension and pre-built AI functionality in the Azure Cognitive Services.
  • Week 20-23
    Capstone Project: Autonomous Cars
    As part of this capstone project, students will design and train an artificial intelligence model to estimate the speed of a car based on dash cam footage and detect and recognize traffic signs. Students will apply course concepts and use a pretrain network to achieve project goals.
DOWNLOAD SYLLABUS

Choose Your
Learning Track

23 WEEKS

On-Demand
  • Virtual Hands-On Labs Virtual Hands-on labs sharpen your skills and prepare you for real world scenarios.
  • Virtual Office Hours On-demand bootcamps offer students up to five, 30-minute optional mentoring sessions if students need to ask questions or receive support on their capstone project.
  • Capstone Projects Capstone projects will demonstrate to employers the skills and knowledge you acquired through the bootcamp.
  • Career Services QuickStart’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

$1,900*

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.

Learn from Industry Experts

Our instructors have years of experience in information technology and AI and Machine Learning. With the support of our instructors, you will develop the framework to solve problems AI and machine learning professionals face daily.

Jeff Lund

Cybersecurity, AI & ML, and Cloud Engineering Instructor

Jeff Lund is an experienced Senior Data Engineer with a history of working in ETL, data warehouse development, data analysis, and data visualization in various industries; financial, manufacturing, and medical fields. Lund has a diverse technical background, sound deductive reasoning, and analytical thought. His specialties also include Microsoft Power BI (DAX), dashboard development and deployment, SISS, SSAS, SSRS, and more.

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Texas Tech University's Bootcamp Outcomes

Texas Tech University's 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
    Virtual Office
    Hours

  • Learn Top Artificial Intelligence and Machine Learning Skills

    Study industry-aligned competencies and develop skills through virtual 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 QuickStart

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Your 23-week AI and Machine Learning training will prepare you for the following certifications:

Microsoft Certified: Azure AI Engineer Associate

CompTIA ITF+
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Artificial Intelligence and Machine Learning Bootcamp
Admissions Process

Submit a Request More Information Form
  • 1

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

  • 2

    You’ll interview with an admissions advisor to verify that the Artificial Intelligence and Machine Learning Bootcamp 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 Texas Tech University’s Artificial Intelligence and Machine Learning Bootcamp.

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Career Services

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

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Career Coaching

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

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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 QuickStart's career coach.

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.

*Source: Monster.com 2021

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Hear from Our Students

It gave me the confidence I needed to look for the job that I was looking for. Even though I already had IT experience I was lacking confidence. The instructors that I had the opportunity to work with were able to guide me and support me throughout the program, answering questions when I needed the answer and support. My wife is very happy that I will not have that crazy schedule going in to work at different times during the week and on working holidays.

Francisco Ventura

I was looking to change careers from retail to IT. If you're looking for an opportunity to learn at your own pace while still working or taking care of a family, this course would be perfect for you. The courses don't overwhelm you. My coach was wonderful and was always available to answer any questions that I had. The job assistance team was fantastic. They have a wealth of knowledge and resources to get you noticed. I was very fortunate to get hired in just a few months after graduation.

Donald Lloyd

Texas Tech University Artificial Intelligence and Machine Learning Bootcamp FAQs

What kind of bootcamps do you offer?

We offer cybersecurity, data science & analytics, cloud engineering, software engineering and AI & ML bootcamps for immersive and flex learning tracks.

We offer cybersecurity, web development, data science & analytics, cloud engineering and AI & ML bootcamps for immersive and flex learning tracks.

We offer cybersecurity, web development, data science & analytics and AI & ML bootcamps for immersive and flex learning tracks.

We offer cloud engineering and AI & ML bootcamps for immersive and flex learning tracks.

We offer cybersecurity, data science & analytics, cloud engineering and AI & ML bootcamps for immersive and flex learning tracks.

We offer cybersecurity, data science & analytics and cloud engineering bootcamps for immersive and flex learning tracks.

We offer cybersecurity, software engineering, data science & analytics, cloud engineering, and AI/ML bootcamps for immersive, flex and foundational learning tracks.

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

Immersive bootcamps are $7,900 and flex bootcamps are $5,100. We offer a pre pay discount, a variety of monthly installment options and a deferred monthly installment to cover bootcamp tuition costs. On-demand bootcamps cost $1,900 and are only able to be purchased prepaid. *Deferred monthly installment eligibility depends on U.S. state of residence.

On average, flex and immersive bootcamps take about 23 weeks to complete.

Bootcamp scholarships are not offered for Texas Tech University bootcamp programs at this time.

Recommended prerequisites vary based on the bootcamp, but most programs require only basic IT experience and foundational programming knowledge.

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

Flex bootcamps offer 2 hour mentoring sessions once per week, and immersive bootcamps offer 2 hour mentoring sessions twice per week. On-demand bootcamps offer students up to five, 30-minute optional mentoring sessions if students need to ask questions or receive support on their capstone project.

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

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.

Not Sure Which Program Is Right For You? Request A Call

Find an online IT training program that fits your career goals. Contact a member of our admissions team to learn about program availability, bootcamp outcomes and receive answers to your questions.

By requesting more info, I agree to receive phone calls/texts from this bootcamp program.

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