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Coding bootcamps give students the knowledge and skills to develop, design, and implement software and web applications. Many coding bootcamps provide flexible, convenient training online, giving learners the opportunity to upskill on a schedule that works for them.
A machine learning bootcamp covers advanced artificial technology concepts and how they improve software performance.
Coding bootcamps span weeks and months, as opposed to the years it might take to get a degree, and fast-track learners to professional roles in software engineering and web development.
Coding bootcamps could provide the solution to a lack of confidence nearly half of the technology employers have in college and universities to train students for jobs in their industry, as reported by RTI International in 2019.
A machine learning bootcamp covers advanced artificial technology concepts and how they improve software performance. Learn more below about some of the best machine learning bootcamps and what they have to offer.
What Is a Machine Learning Bootcamp?
Machine learning bootcamps cover fundamentals of artificial intelligence and data science. Hands-on activities and projects help students grasp machine learning processes applied to specific situations.
Most machine learning bootcamps require previous coding and computer science experience, giving learners the opportunity to build on existing knowledge and skills.
Bootcamps can last as few as three weeks or as long as six months, depending on the scope of the machine learning curriculum. Associate and bachelor's degrees span 2 to 5 years.
Online machine learning bootcamps integrate recorded and live lectures with self-paced assignments, while in-person bootcamps give you the chance to work alongside peers in real-time.
Whether a machine learning bootcamp follows an online, in-person, or hybrid format, you may have opportunities to complete the program part- or full-time. Professional organizations, industry leaders, and private companies offer machine learning bootcamps, many of which are affiliated with a college or university.
Discover other bootcamp programs Compare types of coding bootcamps Read our guide to bootcamp programs Learn how to get into a coding bootcamp
Skills Learned in Machine Learning Bootcamps
Machine learning bootcamps teach specialized programming, data analysis, and software engineering skills. While no two machine learning bootcamps are identical, the core abilities taught are consistent across the board.
Common skills learned in machine learning bootcamps include applied statistics, data modeling, programming, and deep learning.
Statistics: Statistics for machine learning explains how algorithmic methods and models function within the context of the topic. Students learn distributions, descriptive statistics, and variable correlations alongside how to test hypotheses. Statistics for machine learning also covers estimation and nonparametric statistics, sampling methods, and regression analysis. Data modeling: Data modeling gives learners the framework to organize, store, and assess data sets. In machine learning, these models include algorithms that use data for automation. Predictive, descriptive, and decision models all have specific applications and purposes in machine learning. Programming: Machine learning requires programming abilities, but in a machine learning bootcamp, learners gain advanced programming skills for one or more languages that relate specifically to the field. Some bootcamps may focus on a single language like Python, while others cover additional languages such as R, Java, and Javascript. Deep learning: Deep learning imitates how humans gain knowledge. By emphasizing representation-learning methods, deep learning uses neural network architectures to assess multiple layers of data. Deep learning has uses in automated driving, medical research, and industrial automation.
What Will a Machine Learning Bootcamp Cost?
The cost for machine learning bootcamps varies significantly, but some programs provide payment options and financing assistance.
When looking for a machine learning bootcamp, keep in mind the expenses you must cover. Machine learning bootcamp expenses include instruction and materials, software, application fees, and prep courses.
Upfront payment for a machine learning bootcamp means investing hundreds or thousands of dollars into the program from the start. This option might be cheaper in the long run, but requires a lot of money at once. Upfront payment might seem risky, so make sure the bootcamp has refund policies.
Longer programs provide monthly payment options. Online platforms like Udemy and Coursera might have machine learning courses as part of their subscriptions.
Deferred tuition programs allow you to pay little to nothing up front, postponing tuition payments until after you graduate and get a job.
Income-share agreements let you pay a percentage of your earnings back to the program once you secure employment. Some bootcamps have agreements with lending institutions to help you secure a loan as well.
Get more details about bootcamp costs Learn how to pay for a coding bootcamp Explore financial aid and scholarship options Use the GI Bill to pay for a coding bootcamp
What Jobs Can I Get After a Machine Learning Bootcamp?
Machine learning knowledge can open the door to jobs in artificial intelligence, data science, software engineering, and information research. The Bureau of Labor Statistics (BLS) projects 13% growth in computer and information technology jobs by 2030.
Bootcamp graduates can also work within the field of machine learning itself, part of the growing computer and information technology sector.
Data scientists collect and analyze data using software tools. They use programming languages to write algorithms used in experiments, and to solve problems in business, science, healthcare, and other industries.
Data scientists use predictive models, data visualizations, and simulations, which all have machine learning uses.
Software engineers design software programs and applications for use on computers and portable devices. They work with fellow software and engineering professionals to optimize software capabilities and performance.
Software engineers use scientific analysis and mathematical models, like those associated with machine learning, to determine the outcomes of their work.
Tasked with creating ways to assess data, information researchers study and solve problems related to computing. They bolster existing computer systems used in business, healthcare, and across industries.
Information researchers integrate machine learning algorithms and statistics into their work as they forecast and assess computer and information systems data.
Systems analysts find ways to improve the efficiency and efficacy of computer systems, procedures, and designs.
They assess data, analyze costs and benefits, and test systems to maximize performance. Systems analysts often use data modeling and other machine learning skills in their work.
Database administrators design systems to store data. They organize existing systems, ensure data security, and maintain databases with upgrades and troubleshooting, as needed.
Database administrators may write, patch, or upgrade programs using code, depending on the scope of their role.
Other Computer Science Education Options
A bootcamp may provide the foundation you need to pursue a degree or supplement one you already have. It can also serve as a spark to help you decide to pursue an advanced computer science degree.
The computer science education possibilities listed here increase your earning potential and allow for personal and professional growth.
Associate Degree in Computer Science: An associate degree in computer science includes roughly two years of coursework. Degree-seekers study the principles of computer science while learning about fundamentals such as information system security, systems operations, and programming.
An associate degree in computer science also includes courses in mathematics and general science, ideal for someone who wants to become a computer programmer, software developer, or entry-level computer technology professional.
Bachelor's Degree in Computer Science: Bachelor's degrees in computer science include four years of general education and major coursework. Through the computer science curriculum, learners explore topics such as computer programming, computer hardware, software engineering, and artificial intelligence.
At the end of a computer science bachelor's degree, students complete a comprehensive capstone requirement to prepare for careers in software development, information technology, and related fields.
Master's Degree in Computer Science: Master's degrees in computer science generally span two years and build upon existing knowledge of the discipline. Alongside advanced coursework in aspects of computer science, learners build qualitative and quantitative research skills.
A computer science master's degree may have a specialization option, allowing students to focus the degree on a topic like data science, artificial intelligence, or information security.
Ph.D. in Computer Science: A computer science doctorate emphasizes theory and research in the field. Students complete research coursework alongside introductory classes. They take specialized classes in a subset of computer science such as machine learning, biometrics, data analytics, and operating systems. A Ph.D. in computer science culminates in an in-depth research project and dissertation.
Explore Other Coding Bootcamps
Other options for coding bootcamps include subsets of computer science like data science, software engineering, full-stack, and animation programs.
Coding bootcamps also focus on specific languages like Python, Java, and Javascript.
2022's Bootcamps for Machine Learning
The following list includes some of the best U.S. bootcamps for machine learning in 2022. Since machine learning involves data analysis, most of the programs below focus on data science as a whole, including an exploration of machine learning.
These popular programs — listed alphabetically — offer intensive coursework. They last 8-40 weeks, depending on the format and material.
Explore these top nine programs that can help launch your tech career.
Bloom Institute of Technology
BloomTech prioritizes job acquisition by teaching students in-demand tech skills. Graduates have landed jobs with companies like Cisco, Google, and HubSpot.
Data Science Course
Applicants take an aptitude test before enrolling in the data science bootcamp. BloomTech uses this assessment to predict candidates' potential to succeed in the course.
Once enrolled, learners complete 960 content hours. Students attend live classes during the week and can access pre-recorded lessons at any time.
The curriculum's 24 sections include four units covering machine learning topics like neural network foundations and natural language processing. The bootcamp concludes with a team project.
- Cost: $21,950
- Format: Online; self-paced
- Length: 6 months
- CIRR Member: No
Other Courses Offered by Bloom Institute of Technology
- Full-Stack Web Development
- Back-End Development
- Intro to HTML and CSS
Bloom Institute of Technology's Job Placement Assistance
Learners receive personalized job sourcing and career coaching. BloomTech also provides interview prep and an outreach generator for job applications. Graduates who do not find a tech job that pays $50,000 or more within a year receive 110% tuition reimbursement.
BrainStation
BrainStation has trained students in digital skills since 2012. It provides project-based learning in topics like design, marketing, and data.
Data Science Bootcamp
BrainStation's hands-on curriculum includes five units. The first unit covers data analysis and visualization using MySQL and Tableau. Students then delve into data science and learn programming languages like Python and R.
The third unit explores machine learning techniques. It covers tools like PyTorch, Seaborn, and Pandas. Learners practice exploratory data analysis and predictive modeling. The fourth unit asks enrollees to apply their skills to big data analysis.
Students end the bootcamp with a professional development unit. They complete a capstone project and create a data science portfolio.
- Cost: $16,500
- Format: Online or on campus; full time or part time
- Length: 11 weeks (full time); 35 weeks (part time)
- CIRR Member: No
Other Courses Offered by BrainStation
- Web Development Bootcamp
- UX Design Bootcamp
- Digital Marketing Bootcamp
- Python
- Cybersecurity
- Data Science
- Data Analytics
- Design Thinking
- Product Leadership
- Search Engine Marketing
BrainStation's Job Placement Assistance
The data science bootcamp offers job prep with a career success team that helps students develop a portfolio and prepare for interviews. BrainStation provides networking opportunities like demo day, where students meet with prospective employers.
Codesmith
Codesmith trains individuals for mid- and senior-level software engineering positions. It has campuses in New York City and Los Angeles.
Software Engineering Immersive
The admissions process includes a nontechnical interview and a JavaScript coding challenge. Codesmith offers several introductory bootcamps for candidates who need additional training before enrolling in the software engineering bootcamp.
This immersive program covers essential computer science topics like data structures and algorithms. It also covers front- and back-end development. Students complete several projects during the bootcamp, including working on an open-source product.
The machine learning unit exposes students to foundational concepts in data science and machine learning. This includes exploring the Python programming language and data science libraries.
- Cost: $19,950
- Format: Online or on campus; full time or part time
- Length: 12 weeks (full time); 38 weeks (part time)
- CIRR Member: Yes
Other Courses Offered by Codesmith
- JavaScript for Beginners
- CS Prep
- CSX - Learn JavaScript
- Node.js Under the Hood
- Data Structures and Algorithms Under the Hood
Codesmith's Job Placement Assistance
The bootcamp includes whiteboard sessions and mock interviews. Students work with industry experts to create a resume and online profiles. Bootcamp graduates receive continued support with check-ins and networking opportunities.
The Data Incubator
As part of the Pragmatic Institute, The Data Incubator helps prepare individuals for careers in data science. It offers three data science programs. The hiring team connects employers to bootcamp graduates.
Data Science Essentials Course
This course acts as a preparatory class for the data science fellowship. Upon successful completion, students receive automatic admission into the fellowship program. The price for this course also counts towards the fellowship tuition.
Applicants should have basic programming and statistics skills, which the intensive curriculum builds upon. Topics include Python and statistical methodology in datasets.
Learners spend two evenings per week in class. The sessions cover topics like dimensionality reduction; bias, variance, and overfitting; and scikit-learn workflow.
- Cost: $2,895
- Format: Online; part time
- Length: 8 weeks
- CIRR Member: No
Other Courses Offered by The Data Incubator
- Data Science Bootcamp
- Data Science Engineer Bootcamp
The Data Incubator's Job Placement Assistance
The Data Incubator offers career support to graduates through networking opportunities and mixer events. Students also receive advice on negotiation, interviews, and resume-writing.
Flatiron School
Flatiron School has offered immersive, market-driven bootcamps since 2012. It began offering courses online in 2015. Students can also attend these programs at the Denver and New York City campuses.
Data Science
Applicants complete a nontechnical interview and a short assessment. If accepted, students complete 40 hours of educational prework material to prepare for the bootcamp.
The core curriculum includes four phases. Students start with Python programming and basic data analysis before moving on to quantitative methods.
The final two phases immerse enrollees in machine learning. Students explore topics such as pipeline building and ensemble methods. More advanced topics include dimensionality reduction and text classification.
Learners showcase their skills with a final machine learning project.
- Cost: $16,900
- Format: Online or on campus; full time or part time
- Length: 15 weeks (full time); 40 weeks (part time)
- CIRR Member: No
Other Courses Offered by Flatiron
- Software Engineering
- Product Design
- Cybersecurity
Flatiron's Job Placement Assistance
Flatiron connects students with a career coach. Together, they develop a strategy to land tech jobs and practice technical interviews. Learners can continue with the career coach for 180 days post-graduation.
Metis
Metis offers data science bootcamps and corporate training programs. The organization continually evolves to equip people with up-to-date data science skills.
Data Science and Machine Learning Bootcamp
This bootcamp includes seven modules. Each module concludes with a project. Students start with topics like Python programming and web scraping. They also learn about project management and business analysis.
Several modules focus on machine learning. Topics include classification, unsupervised learning, and deep learning. Students practice with principal component analysis and convolutional neural networks.
The final module presents learners with basic data engineering concepts. They explore cloud computing and big data before developing a data processing pipeline.
- Cost: $14,000
- Format: Online; part time
- Length: 28 weeks
- CIRR Member: No
Other Courses Offered by Metis
- Data Science Bootcamp
- Data Analytics Bootcamp
- Data Science and Engineering Bootcamp
- Introduction to Data Science
- Beginner Python and Math for Data Science
- Linear Regression and Web Scraping
- Machine Learning Classification
- Natural Language Processing and Unsupervised Learning
- Deep Learning Fundamentals
- Introduction to Data Engineering
Metis' Job Placement Assistance
Learners receive personalized guidance from a career advisor during the bootcamp. They can also access job search tutorials and watch talks from industry experts. Metis offers bootcamp graduates interview practice, workshops, and networking opportunities.
Springboard
Springboard has offered online tech courses since 2013. Today, over 1,000 expert mentors work at Springboard and teach learners about topics like UI/UX design and data science.
Data Science Bootcamp
Springboard lets students progress at their own pace while providing one-on-one mentor calls. Mentors help hold learners accountable as they complete over 500 hours of content.
The bootcamp curriculum includes eight sections. Topics cover data wrangling, Python, and software engineering. Two of the sections, comprising over 150 hours of content, explore machine learning.
Students practice using scikit-learn with supervised and unsupervised algorithms. They also use techniques like gradient boosting and linear regression. Advanced machine learning topics include time-series analysis and deep learning fundamentals.
- Cost: $9,900
- Format: Online; self-paced
- Length: 6 months
- CIRR Member: No
Other Courses Offered by Springboard
- Introduction to Data Analytics
- Data Analytics Bootcamp
- Cybersecurity Bootcamp
- UI/UX Design Bootcamp
- Software Engineering Bootcamp
- Tech Sales Bootcamp
- Digital Marketing Professional Certificate
- Social Media Marketing Professional Certificate
- Introduction to Design
Springboard's Job Placement Assistance
Students work with hiring manager consultants and career coaches to prepare for the job search. Springboard reports that 92.5% of graduates from the data science bootcamp receive a job offer within one year. Students who don't receive a job offer within six months may be eligible for a full tuition refund.
Tech Talent South
This woman-owned information technology company serves both companies and aspiring tech professionals. Its programs provide candidates with in-demand skills.
Data Science
To apply, students complete a short application form and a 20-minute consultation. Once enrolled, learners attend two three-hour class sessions each week.
The bootcamp immerses learners in Python. Enrollees practice gathering and manipulating large data sets. Students also explore machine learning topics. To stay updated on emerging technology, Tech Talent South regularly refreshes its material.
- Cost: $14,750
- Format: Online; part time
- Length: 8-16 weeks
- CIRR Member: No
Other Courses Offered by Tech Talent South
- Full-Stack Web Development
- AWS re/Start
Tech Talent South's Job Placement Assistance
Tech Talent South helps each student develop a LinkedIn profile and a resume. The company offers mock interviews, soft skills feedback, and a built-in networking system.
Thinkful
Part of the educational platform Chegg, Thinkful has provided online tech education for ten years. The organization offers career-focused courses with up-to-date tech curricula.
Data Science Bootcamp
The curriculum requires a weekly commitment of 15-20 hours. It includes four sections. Students first learn about designing experiments and using Python for analytics. The section's capstone requires students to propose a real-world experiment.
The next two segments cover machine learning. Learners practice building supervised and unsupervised models. They explore topics like scikit-learn, natural language processing, and decision trees. Both sections include model-building capstone projects.
The bootcamp's final section asks students to choose a specialization. Options include deep learning models and time series analyses.
- Cost: $9,500
- Format: Online; self-paced
- Length: 6 months
- CIRR Member: No
Other Courses Offered by Thinkful
- Software Engineering Bootcamp
- Data Analytics Bootcamp
- UX/UI Design Bootcamp
- Digital Marketing Bootcamp
- Technical Project Management Bootcamp
Thinkful's Job Placement Assistance
Thinkful connects students to a career coach during the bootcamp. Learners can participate in career workshops and mock interviews. They may also benefit from exclusive job openings.
Bootcamps offered in partnership with Trilogy Education Services
Trilogy Education Services aims to close the digital skills gap worldwide. This workforce accelerator partners with universities to develop tech training programs in topics like cybersecurity and data analytics. Explore the participating universities listed below.
- Arizona State University
- Butler University
- Case Western Reserve University
- Columbia University in the City of New York
- Edward Waters University
- Georgia Institute of Technology
- Marymount University
- Norfolk State University
- Northwestern University
- Rice University
- Rutgers, The State University of New Jersey
- Southern Methodist University
- St. Edward's University
- Talladega College
- The George Washington University
- The University of North Carolina at Chapel Hill
- The University of North Carolina at Charlotte
- University of Arizona
- University of California, Berkeley
- University of California, Davis
- University of California, Irvine
- University of California, San Diego
- University of Central Florida
- University of Connecticut
- University of Denver
- University of Kansas
- University of Miami
- University of Minnesota
- University of Pennsylvania
- University of Richmond
- University of Southern California
- University of Texas at Austin
- University of Texas at San Antonio
- Vanderbilt University
- Washington University in St. Louis
Questions About Machine Learning Bootcamps
Are machine learning bootcamps worth it?
Machine learning bootcamps are worth it if you want to learn how to use artificial intelligence to assess data. Machine learning bootcamps offer a flexible alternative to earning a degree in the field. You can complete a bootcamp while working full-time and to supplement your existing knowledge and skills.
How do I get a machine learning job in 6 months?
Some bootcamps provide job placement assistance after you graduate. You can also network with peers, look online at job websites, and explore available positions while completing a machine learning bootcamp.
What's the difference between machine learning and artificial intelligence?
Simply put, machine learning is an aspect of artificial intelligence. Artificial intelligence involves machines executing tasks of various kinds. Within that scope, machine learning focuses on applying artificial intelligence to enable machines to learn and adapt.
What is the best programming language for machine learning?
Python sits atop the list of preferred programming languages developers. As a language used by millions of programmers worldwide, Python finds extensive use in data analytics, data science, artificial intelligence, and machine learning.
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