University of San Diego AI & Machine Learning Bootcamp
Prepare for a Career In the Rapidly-Growing Field of AI
Gain the skills in Applied Data Science with Python, Machine Learning, Deep Learning, NLP, and Generative AI, to build or expand a career in the rapidly-growing, lucrative field of AI and machine learning with the part-time University of San Diego AI & Machine Learning Bootcamp.
Program at a Glance
26
01/07
01/13
$2,000
Why Learn Artificial Intelligence & Machine Learning With University of San Diego?
Artificial intelligence is a rapidly evolving tech field with implications across almost all major industries. With the rise in usage of generative AI platforms like ChatGPT, Gemini, MidJourney, and many more by individuals and businesses, artificial intelligence and the machine learning principles that support its development are here to stay.
As a result, professional roles concentrated in AI and machine learning engineering are slated to increase dramatically over the next decade (Bureau of Labor Statistics). With this growth comes lucrative salaries, specialization opportunities, engaging work, and the chance to shape the future of AI innovation.
The University of San Diego Artificial Intelligence & Machine Learning Bootcamp prepares students for a range of lucrative data careers, including those specialized in artificial intelligence.
The Demand for Artificial Intelligence Talent in San Diego
In California, companies are hiring data professionals with concentrations in artificial intelligence—for both local and remote jobs. There are currently over 18,000 open AI/Machine Learning Engineer roles in the United States, according to data from Glassdoor Businesses of all industries are actively seeking artificial intelligence and machine learning professionals, including local employers like Qualcomm, Amazon, and Accenture.
Bootcamp Application and Start Dates
Fullstack Academy is one of the longest-running and most reputable bootcamp providers in the nation, with incredible student reviews, years of experience in education, and impressive graduate outcomes.
Through Fullstack Academy's active learning approach, the University of San Diego Artificial Intelligence & Machine Learning Bootcamp helps open doors to opportunities in California, remotely, and beyond!
How the University of San Diego AI & Machine Learning Bootcamp Works
The University of San Diego AI and Machine Learning Bootcamp is designed for students to pursue high-quality tech education while continuing to balance work or other commitments. Our program provides you with the flexibility to fit career development into your life.
Bootcamp classes combine live online instruction with group and independent active learning challenges—all facilitated by industry-experienced professionals.
All classes are held Monday, Wednesday, and Thursday.
4:30pm-7:30pm PT
In addition to classroom lessons, part-time students can anticipate spending about 20+ hours studying and working on outside assignments each week.
Class time options are subject to change. To see available class times for your cohort of choice, complete your application or schedule a call with a student advisor.
Tuition
We’re committed to making tech education more accessible, which is why we offer several payment options to help you invest in your bootcamp education.
For a limited time, apply and enroll in an upcoming January 2025 cohort by January 7, 2025 to receive the New Beginnings Scholarship (a $1,000 value).
You may also be eligible to save $1,000 on tuition with the Early Enrollment Discount. Contact your Student Advisor for details.
| Tuition: | $7,950 |
| Scholarship: | -$1,000 |
| Early Enrollment Discount: | -$1,000 |
| Total Tuition with Scholarship + Discount: | $5,950 |
A refundable deposit of $99, applied to your total tuition, is due at the time of enrollment. The deposit is refundable up until the end of the first week of classes.
Pay for your bootcamp tuition in affordable, predictable monthly installments.
AI & Machine Learning Job and Salaries
As the demand for data professionals is projected to increase over 36% through 2033—much faster than the average growth rate of all professions—AI & machine learning specialized roles are a huge contributing factor to the expansion of the data science industry (Bureau of Labor Statistics).
In the field of AI and machine learning, there are many career paths to follow based on your skills, interests, and experience. Some available jobs include Machine Learning Engineer, Data Scientist - AI, Data Scientist - Predictive Analysis, and AI Engineer. When you opt into the University of San Diego AI & Machine Learning Bootcamp career coaching services, you’ll receive the guidance you need to navigate the industry in search of specialized artificial intelligence engineering roles. AI/Machine Learning Engineers in California earn an average entry-level salary of $175,963, (Glassdoor, 2024), offering a significant return on investment for anyone pursuing a specialized education in AI and machine learning.
University of San Diego AI & Machine Learning Curriculum
The University of San Diego Bootcamp is designed to help students of all professional backgrounds acquire relevant, in-demand skills and knowledge of artificial intelligence concepts. Over 26 weeks part-time, students will learn practical and theoretical machine learning concepts using real-world tools—graduating with the specialized knowledge needed to apply AI fundamentals in a current role or pursue a new career in the data field.
Our curriculum is tailored to meet the needs of students looking to build concentrated knowledge and experience in AI and machine learning. Students learn through a mix of lectures, labs, and projects to cover each topic and technology.
Additionally, students are supported by Fullstack Academy’s active learning method, which enables students to build skills and practically apply them at the same time—both independently and as part of a team.
Develop and execute Python programs for real-world applications.
Learn essential Python data types and file-handling techniques.
Learn and apply decision control structures, looping mechanisms, and argument types in Python.
Understand and differentiate types of machine learning models.
Apply supervised learning techniques to classification and regression problems.
Develop and train machine learning models using Python packages.
Evaluate and validate machine learning models using performance metrics.
Apply machine learning models to real-world use cases.
Design and implement deep neural networks for image and text classification.
Apply advanced optimization algorithms to enhance model training.
Utilize transfer learning and object detection based on real-world use cases.
Perform hyperparameter tuning and regularization for improved model accuracy.
Develop sequential models for time-series and video data classification.
Build and implement NLP models for text classification and sentiment analysis.
Utilize word embeddings to enhance text representation in NLP models.
Develop and evaluate machine translation systems.
Implement advanced NLP models using sequence modeling and attention mechanisms.
Design and implement generative AI models for various applications.
Understand and apply attention mechanisms in transformer models.
Develop and fine-tune large language models (LLMs) for enhanced performance.
Apply the LangChain framework to build generative AI applications.
Optimize and evaluate generative AI models using hyperparameter tuning and benchmarking techniques.
Enhance your skills by applying various AI & machine learning techniques to solve real-world challenges, using publicly available data sets.
AI & Machine Learning Tools & Technologies
Throughout this program, you’ll learn to use a range of digital tools required to develop practical, hands-on AI and machine learning skills. Some of the tools you’ll build proficiency in include:
AI & Machine Learning Bootcamp Projects
In this program, you’ll have opportunities to apply your skills in industry-relevant projects to solve real-world challenges. These projects will help validate your AI and machine learning skills and expertise in tools and technologies, plus can be featured in your professional portfolio to showcase to potential employers. Here are some examples of the projects:
This project requires you to develop a machine-learning model to accurately predict customer satisfaction levels. You’ll analyze a dataset of customer interactions, purchase behavior, demographic information, and product feedback, and identify key factors influencing customer satisfaction.
You’ll design some features of an e-commerce application. This includes the backend implementation of the website, sign-in authentication, and error-handling features.
You’ll investigate the factors that influence house prices and identify potential growth opportunities in the market.
A retail company wants to analyze its sales data to make better investment decisions. You’ll help the company identify the geographies generating the highest revenues, analyze purchasing behavior and data, and assist with data-driven decisions for the coming year.
A company specializing in movie recommendations wants to integrate a recommender system based on collaborative filtering. This project requires you to construct and assess a recommender system, employing memory-based and collaborative filtering methods.
A news aggregator platform collects articles from various sources. To improve the user experience, you’ll develop a text classification model using Recurrent Neural Networks, which will automatically categorize articles into predefined topics or categories.
Landing an AI & Machine Learning Job in California
University of San Diego students will gain valuable insight into how to build a successful career in the field of data science and AI from day one of the course. Throughout the bootcamp experience, students may access live workshops, office hours, and on-demand content to help build a job search toolkit—which includes an optimized resume and LinkedIn profile.
Following successful completion of the Career Success Program, students can choose to opt into additional coaching support and receive guidance for up to a year following graduation in:
Growing your professional network
Resume and LinkedIn profile optimization
Interview and assessment prep
Salary negotiation workshops
And much more!
You’ll also graduate from the program with a portfolio of work that demonstrates your ability to solve real business problems for real companies.
Fullstack Academy grads have landed jobs with some of the world's leading companies.
University of San Diego Tech Bootcamps are powered by Fullstack Academy. The companies listed above have hired Fullstack Academy graduates.
FAQs
Yes, the University of San Diego AI & Machine Learning Bootcamp helps prepare professionals and recent graduates with skills and experience in these evolving technologies. To be considered for admission, applicants must meet the following eligibility criteria:
Be at least 18 years or older
Have earned a high school diploma or GED equivalent
Have prior knowledge or experience in programming and/or intermediate mathematics (including linear algebra, probability, and statistics)
While not required for admission, applicants are recommended to have at least 2+ years of formal work experience.
Not sure how your skills stack up? Contact a student advisor to talk through all your options.
The bootcamp is a highly computational, programming-based tech training program that teaches artificial intelligence and the machine learning tools, technologies, and processes that support its development. You will learn how to create and deploy this technology toward a range of applications.
Your time with our career success team will include everything from workshops to one-on-one office hours to phone chats before big interviews. Alumni will also have access to a job board and have the opportunity to be connected with companies and organizations in our Employer Partner Network that are actively hiring.
You do need to provide your own computer for the bootcamp. It can be a laptop or desktop as long as it meets the minimum machine specifications of your chosen program. Because the bootcamp is live online, you are required to have a webcam and microphone to participate in class.
Ensuring you have a computer that meets the requirements for your course is an essential part of setting yourself up for success in our bootcamps.
For full computer requirements for each of our program offerings, visit our Online Learning page.
Designed for rapid skill acquisition, the University of San Diego AI & Machine Learning Bootcamp helps you gain a deeper understanding of core to advanced field principles and tools while providing you with opportunities for hands-on experience. Unlike some AI courses, this bootcamp incorporates machine learning online courses with AI training to deliver a well-rounded education. Topics covered in the AI and ML courses include:
Programming Refresher
Applied Data Science with Python
Machine Learning
Deep Learning
Natural Language Processing
Essentials and Applications of Generative AI
The University of San Diego AI & Machine Learning Bootcamp is a 26-week part-time program that will provide you with a comprehensive understanding of AI and machine learning course concepts using real-world tools, and prepare you to qualify for a range of data roles, including AI roles.
Tuition for the University of San Diego AI & Machine Learning Bootcamp is $7,950. Multiple scholarships and payment options are available. Bootcamp tuition is an investment in your future, so take the first step toward hands-on training in AI, machine learning, deep learning, career support, and more. Apply now!
Anticipate a rigorous but rewarding experience in the University of San Diego AI & Machine Learning Bootcamp. You can anticipate:
A fast-paced curriculum covering in-demand technologies and tools.
Practical skill-building, not just theory.
Real-world projects and the opportunity to build a portfolio to show to potential employers.
A collaborative environment, where you'll be supported by industry-experienced instructors, mentors, and peers.
Career support including resume workshops, interview prep, and more.
These steps will guide you through the application process for the University of San Diego AI & Machine Learning Bootcamp! Here’s how to apply:
Complete the No-Risk, No-Cost Online Application: Complete and submit the online application form.
Schedule a Call with a Student Advisor: Right after applying, schedule a call with our student advisor to understand your eligibility for the AI & Machine Learning Bootcamp.
Receive Your Entrance Decision: You'll receive your entrance decision within 24 hours.
University of San Diego Tech Bootcamps Admissions Process
The University of San Diego AI & Machine Learning Bootcamp is designed for professionals and recent graduates looking to grow their skills in this evolving field.
Are at least 18 years or older
Have earned a high school diploma or GED equivalent
Have prior knowledge or experience in programming and/or intermediate mathematics (including linear algebra, probability and statistics)
While not required for admission, at least 2+ years of formal work experience is recommended
Schedule a call with a Student Advisor to learn more about eligibility for the AI & Machine Learning Bootcamp.
Apply to study at the University of San Diego AI & Machine Learning Bootcamp! Here’s how:
Fill out our online application form
Receive an entrance decision
