Start Your Journey Today: A Guide To AI Machine Learning Bootcamps!

When studying for a specific career path, it is important to gauge the future prospects of the industry. This will determine whether there is projected growth in the market, which impacts job opportunities.

Some of the most in-demand skills at present include AI (artificial intelligence) and ML (machine learning). There is large projected growth for the use of these skills in a range of industries.

There are some great ways to prepare for a career in artificial intelligence and machine learning. This includes a number of learning bootcamps.

This guide will take you through everything you need to know. We will explore the best artificial intelligence and machine learning bootcamp options.

What Is An AI Machine Learning Bootcamp?

Machine learning bootcamps are designed to provide students with programming skills. They are intensive programs that provide a great alternative to college degrees.

The popularity of machine learning bootcamps has grown. This is because of their affordability and shorter course times.

Bootcamps often use practice-oriented learning. Career advice from the machine learning bootcamps has resulted in improved job placement rates.

AI & Machine Learning Job Outlook

Statistics gathered by the U.S. Bureau of Labor Statistics for industries related to AI and machine learning show significant projected growth.

It is estimated that computer and information research scientist employment will grow between 2021 and 2031 by 21%. This is significantly faster growth than other occupations.

The average pay from 2021 for computer and information research scientist roles was $131,490.

Potential Job Opportunities From Machine Learning Bootcamps

AI and machine learning skills can be applied across many industries. Banking and healthcare are just two industries that support AI and ML-related careers.

The skills you learn on a machine learning bootcamp will open up a range of potential career paths.

You will be able to focus your development after a bootcamp for a specific role.

The following career options show just some potential avenues following your education.

Business Analyst

The role of a business analyst is essential to streamlining processes. They work between business and IT departments. By analyzing data, they are able to recommend changes to improve services and products.

Studying data provides information on trends and patterns that can benefit the business in the long and short term.

Data Analyst

The role of a data analyst is to locate actionable insights in datasets. This is can lead to improved decision-making for the business.

Machine Learning Engineer

Machine learning engineers design and develop apps that can identify trends and patterns based on the user’s intent. The role incorporates skills used in data science and software engineering.

Digital Marketing Manager

Artificial intelligence and machine learning bootcamps provide essential tech skills. These position graduates well for digital marketing roles.

The leadership skills picked up in the course, as well as creative skills, are ideal for digital marketing management.

Data analysis skills will help digital marketing managers discover insights that can be actioned.

What You Will Learn

AI & machine learning bootcamp curriculums may vary slightly between institutions. Many disciplines may be covered. These include:

  • Definitions of AI and ML
  • History of AI and ML
  • Machine Learning Models
  • AI Learning Models
  • Training Data Sets
  • Cross Validation
  • Simple Correlation
  • Regression Models
  • Common Machine Learning Modelsdata
  • NLP (Natural Language Processing)
  • Neural Network Development
  • Neural Network Applications

Prerequisites For AI & Machine Learning

Machine learning bootcamp requirements may vary between education providers. They will typically require relevant study experience in math, algebra, and calculus.

Industry experience is also looked on favorably during the application process.

Registration And Enrollment

Applying for a machine learning bootcamp will typically be straightforward. Online applications are structured in a way that makes this easier for you.

The first step is finding the school you want to study with. Checking machine learning bootcamp reviews will help you find the best-rated options.

You will also have to decide whether you want an in-person or online learning experience.

After narrowing down your search, visit the bootcamp website. You will find more detailed course information to help you make up your mind.

You will also be able to fill out an application form.

You will then be contacted by a representative. They will provide any guidance you need and advise you of entry requirements.

Preparatory courses are required for some machine learning bootcamp courses. The admissions representative will provide details of this if it is required.

You will then choose how you want to pay for your course. Machine learning bootcamp costs will vary between institutions. You will typically be able to pay in full or in installments. Some institutions offer financing and scholarships.

Benefits Of An AI & Machine Learning Bootcamp

There are many benefits to taking a machine learning bootcamp. These include:

Structured learning

Artificial intelligence and machine learning can be done on your own. However, the structured learning experience of bootcamps takes you from the basics to more complex aspects.

This structure allows you to build your knowledge base as you learn. Bootcamps are regularly updated to include new and relevant material.

Job-specific skills

Bootcamps focus on learning to prepare students for their desired field. This focused learning experience is designed to improve relevance and job opportunities.

Guidance from industry experts

Learning on your own can allow you to do as much or as little as you want in your own timescale. However, the guidance you receive in bootcamps from industry experts can be invaluable.

The experts have the skills and experience to teach students what is required for working in the field.

Theoretical knowledge can be great. But having the experience of working in the industry offers extra insight into how the curriculum can be applied.

Networking opportunities

Networking in any industry can be essential to future job opportunities and collaborations.

Bootcamps open you up to a range of professionals in the field.

Career services

Bootcamps provide students with the skills required to carry out certain jobs. Many bootcamps also include services to prepare students for the job search process after graduating.

Career coaching, interview skills, and other relevant career services are included in the course.

Value for money

Intensive training courses can be significantly cheaper than full degrees. They will help students build a platform to enter their desired field.

Quicker results

Bootcamps lasting just over 3 months are available. This allows students to learn valuable skills and start applying them quickly. Having a solid base can allow graduates to apply for entry-level positions and beyond.

Bootcamps for machine learning skills can help you get practical experience more quickly.

Artificial Intelligence And Machine Learning Bootcamps

The following list should help you discover the best machine learning bootcamp options on the market.

The top machine learning bootcamps can help you learn essential skills. They help you to:

  • Learn programming languages
  • Enter software engineering
  • Explore data science
  • Design a deep learning system
  • Improve data analysis skills
  • Learn data engineering
  • Learn data science fundamentals

The following courses will help you build the skills needed to enter this promising field.

Baylor University – AI Machine Learning Bootcamp

Baylor University is a private, non-profit institution. It is located in Waco, texas.

The course offered is online and self-paced. Students are provided with interactive video lessons. One-on-one coaching is also provided by expert instructors.

The course lasts for six months. During this time, students are expected to carry out between 15 and 25 hours of study per week.

The course covers a range of subjects. They include:

  • Natural Language Processing
  • AI Definitions
  • ML Definitions
  • Simple Correlation

The course is designed to prepare students for a variety of roles. These include:

  • Data Scientist
  • Quantitative Researcher
  • Data Science Engineer
  • AI Engineer
  • The course prepares students for the Microsft Azure AI certification.

NYC Data Science Academy – Data Science with Machine Learning

The NYC Data Science Academy is located in New York City. The Data Science with Machine Learning course is specific to Python programming. Because of this, experience in Python is required.

This is a 20-hour, part-time course that covers:

  • Simple Linear Regressions
  • Multiple Linear Regressions
  • Classification Methods
  • Cross-Validation
  • Feature Selection
  • Regularization
  • Principal Component Analysis
  • Clustering Algorithms

Tuition fees for the course are $1890,50. The course is available for on-campus learning and remote learning. Remote students will attend live online classes.

Udacity – Introduction to Machine Learning

Udacity is an online learning platform that offers a range of paid and free courses.

Introduction to Machine Learning is a free course designed for students at an intermediate level.

The course takes around 10 weeks to complete. It is a self-paced option that is taught by industry experts.

It’s a great free option that teaches data investigation techniques. Students will also learn how to go about learning algorithms and how to evaluate them.

The course is perfect for people interested in data science and analyst-related roles.

Udacity also has a selection of relevant courses. This includes:

  • Deep Learning Nanodegree
  • AI Programming
  • Machine Learning Engineers Course

Brainstation – Machine Learning Certificate Course

Brainstation offers a range of courses across locations in Miami, Toronto, Vancouver, and NYC. The flexible courses are available to study full-time or part-time.

The machine learning course covers machine learning system fundamentals. Data science is also a significant part of the curriculum.

Entry requirements include a basic understanding of programming and math concepts.

The course costs $3,250. Students will be able to pay upfront or in monthly installments. Employer reimbursement options are available to those in relevant employment. Scholarships can also help to reduce costs.

Springboard – Machine Learning Engineering Career Track

Springboard is an excellent online learning option. There are a variety of courses that are useful for AI or ML-related career paths. Machine Learning Engineering Career Track and Data Science Track are both great choices.

Data science, analytics, and ML engineering all prepare students for a wide choice of careers.

The flexible courses run from 2 to 6 months. You will be able to create your own schedule and learn at your own pace.

The course covers a range of skills. These include:

Deferred tuition fee options allow graduates to pay after they are hired. The cost of the course is $8,940.

Students will be provided with a mentor for one-to-one support. Mentors are industry experts with years of experience behind them.

Course requirements include programming experience. Applicants must have a minimum of one year of experience in software engineering or data science.

Codesmith – Full Stack Software Engineering

The Full Stack Software Engineering course provided by Codesmith has a focus on machine learning.

The course will teach students a number of principles that are key to computer science.

The 12-week program requires around 70 hours of study per week. The full-time course is online with Codesmith locations in New York and Los Angeles.

The cost of the intensive course is $19,350. Upfront payment must include a $2,400 deposit.

Monthly installments can be selected, with a $2,500 payment expected on the first day of the course. Three monthly installments of $4,800 will then need to be made.

Loan options are also available from SkillsFund.

Flatiron School – Data Science and Machine Learning

The Data Science and Machine Learning course allows students to immerse themselves in the subject.

Flexible part-time learning or full-time options are available depending on student preferences. Self-paced learning allows student to manage their own workload.

The course teaches linear regression and deep learning. Students will also benefit from experience using SQL and Python.

A data science project is required prior to graduation.

The career guidance module is extremely beneficial to students. It prepares them for searching for the right positions and preparing for interviews.

The cost of the course is $16,900. This fee can be paid upfront or in monthly installments. A financing option is also available.

Bloom Institute of Technology – Data Science

The Bloom Institute of Technology was formerly known as the Lambda School. The name change came in 2021.

It is known for being a coding bootcamp that prepares students for a variety of tech company roles.

The data science and machine learning course is an online option. It is available to take full-time for 6 months or part-time for 12 months.

The data science program teaches machine learning with SQL and Python. This option is perfect for a career path as a data analyst or data scientist.

There are no up-front costs, and you will only have to start paying when you are hired. The tuition costs start at $15,000 and are capped at $30,000. It is available to take full-time for 6 months or part-time for 12 months.

Metis – Data Science and Analytics

Metis offers great flexibility with its data science and analytics bootcamps. There are a range of options to choose from, including:

  • Full Data Science and Analytics Bootcamps
  • Short Data Science and Analytics Bootcamps
  • Part-Time Data Science and Analytics Bootcamps
  • Data Science and Analytics Prep Courses
  • Data Science and Analytics Corporate Training

This is an online course with Metis being located in Los Angeles and New York City.

Following bootcamp, there is a week-long careers event. This includes workshops to prepare students for job interviews. Employer panels are also included. This can be a great way to meet people in the industry.

General Assembly – Coding Bootcamp

General Assembly has been a leader in education since it was formed in 2011. They offer a wide range of courses that can be taken online or in person.

Locations in the U.S. available for study include:

  • San Diego
  • New York City
  • Atlanta
  • Austin
  • Washington D.C.
  • Phoenix
  • San Francisco

Full-time and part-time options are available to students. The course runs for 3 months.

The course offers a broader programming learning experience than others. Other relevant and interesting courses include:

  • Data Analytics
  • Data Science
  • Product Management
  • Software Engineering
  • Machine Learning

There is a range of payment options, including employer sponsorship and the catalyst program. The catalyst program allows students to pay after being hired.

Payment plans are available as well as discounts for diversity. The Break the Glass project can help to reduce costs on eligible courses.

Galvanise – Data Science

The immersive program in data science by Galvanise is a full-time option. It is available on campus in San Franciso or online.

The course focuses on the fundamentals of machine learning. Natural language processing is explored in this course. Data analysis and visualization are also a big part of the program.

The course runs to a full-time schedule for 13 weeks. Study and classes are Monday to Friday from 8:30 to 5:30.

This course does not offer the flexibility of some others. However, the immersive course is a great way to get a good understanding of the syllabus in a relatively short period of time.

MIT Professional Education – Machine Learning and Artificial Intelligence

This machine learning and artificial intelligence program takes place over 16 days.

The two and three-day courses cover machine learning and data science fundamentals.

They also explore AI systems and practices in software engineering.

The course is available to take in person in Cambridge, Massachusetts. Alternatively, students can opt for convenient online tuition.

The course costs from $2,500 to $5,500.

Each separate course will be paid for individually. A $325 deposit is required for each course.

Data Science Dojo – Data Science

The data science program by Data Science Dojo is a 16-week online course. It requires around 5 to 6 hours of study per week.

The in-person course lasts for 5 days and takes 10 hours per day to complete.

Students will learn a wide selection of disciplines, including:

  • Data Science
  • Machine Learning
  • Python
  • ETL
  • Data Analytics

Graduates have the opportunity to take advantage of tech company internships while studying the program.

It’s instructor-led by industry experts making this a beneficial bootcamp. The course also offers great help and support.


Are artificial intelligence and machine learning bootcamps expensive?

Prices for machine learning bootcamps are significantly cheaper than long-term degrees.

The short-term programs allow you to gain valuable skills in a fraction of the time a full degree would take.

Prices will vary depending on the bootcamp you are interested in. Prices can start from around $800 and go up to roughly $22,000.

Prices can be lowered by applying for scholarships.

How long will an artificial intelligence and machine learning bootcamp take to complete?

Online and in-person machine learning bootcamps can take anywhere from 13 to 30 weeks.

This will depend on the course you take and the learning options available. Self-paced learning is an option that allows you to work at your own pace. This can be great for people with other responsibilities.

Which artificial intelligence and machine learning bootcamp should I choose?

There are more than 100 artificial intelligence and machine learning bootcamps to choose from. You should make your choice based on your personal circumstances.

Your budget and free time can be significant factors in choosing the right course for you.

Take the time to read through what each course offers. This should help you find the best machine learning bootCamp for your needs.

Is an artificial intelligence and machine learning bootcamp better online or in person?

Online and in-person learning opportunities suit different people. Online learning offers a great level of convenience and can save on travel costs.

Most people’s concern about online learning is a lack of support. Online machine learning bootcamps provide a great support network for students.

Live classes, groups, and contact with lecturers are all available on different courses.

What are the biggest benefits of AI and machine learning bootcamps?

Saving time and money are the biggest benefits of machine learning bootcamps. They are cheaper than university degrees and can be completed significantly more quickly.

You will have the opportunity to immerse yourself in the subject and learn valuable skills over a short period.


A machine learning bootcamp can be the perfect way to upskill in a short space of time.

Bootcamp courses offer students a way to gain valuable knowledge in a relatively short timeframe. It can also be an affordable way to improve career opportunities.

Job opportunities for AI and ML-related careers are projected to grow at an accelerated rate. This makes it an excellent field to study. It should provide a great range of career opportunities.

Job security will also be good, with many tech companies requiring skilled workers.

Machine learning skills can be applied to a range of industries. The analysis skills learned will be beneficial for streamlining processes.

The relatively quick and affordable options provide an excellent way to enter the tech industry. They can also be a useful way to upskill.

The bootcamps listed above can be a great stepping stone into the industry. They are excellent options if you are interested in pursuing a machine learning career.