Credit: Taiyou Nomachi / DigitalVision / Getty Images
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.
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.
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.
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 Scientist
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 Engineer
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.
Information Researcher
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 Analyst
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 Administrator
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.
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.
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.
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.
