Top AI and Machine Learning Bootcamps

You do not need prior experience to join 4Geeks Academy’s 16-week machine learning bootcamps. Courses function in English or Spanish with fewer than 12 students. The bootcamp trains you to develop AI projects, create predictive models in Python, and work on supervised and unsupervised models. 4Geeks Academy boasts a hiring network of 5,000 companies. And, if you do not get a qualified job in 180 days, you get a tuition refund.

Over 24 weeks, Caltech’s bootcamp offers hands-on experiences through labs and 25 projects. Live streaming classes and on-demand content survey prompt engineering, generative AI, machine learning algorithms, and deep learning. You’ll also get experience in ChatGPT, Python, and TensorFlow. The bootcamp can count toward 22 continuing education credits.

Caltech only admits students 18 years old or older. For admission, you also need at least two years of work experience and programming and mathematics experience.

Coding Dojo’s part-time machine learning bootcamp takes 24 weeks to complete. You’ll study two weekdays for about 30 hours a week. The live coursework suits beginners, who start by learning Python fundamentals and move on to unsupervised machine learning models and artificial intelligence. You can reserve office hours, or get additional support from teaching assistants and student experience managers.

If you complete the bootcamp, you’ll graduate with five portfolio projects on deep learning or machine learning.

You can complete Cornell’s online machine learning bootcamp in three and a half months. The program focuses on using Python to improve machine learning algorithms. You’ll study through live lectures and two self-paced courses in machine learning’s linear algebra computations.

Prospective students need math and Python experience. The program suits programmers, developers, data analysts, and software engineers.

FullStack Academy, which opened in 2013, offers a part-time machine learning bootcamp designed for data professionals to complete in 26 weeks. The sequence of courses includes programming basics, applied data science, and machine learning models. Through live courses, workshops, and projects, you’ll practice machine learning skills using Python, Keras, and TensorFlo. The bootcamp ends with a simulated project.

For admissions, you should have a background in coding and 3-5 years of experience in a computation field or a post-secondary education in math. Also, you need to complete a non-technical assessment.

MIT xPro’s online machine learning bootcamp, offered in partnership with Emeritus and MIT, prepares you to pursue careers in AI in eight weeks. The lessons explore AI product design and machine learning algorithms to enable you to create applications for industries such as healthcare and education. The bootcamp includes an AI project proposal that you’ll present to MIT xPRo’s stakeholders. You can get up to five continuing education credits after completing this bootcamp.

Prospective students should have Python knowledge and calculus, linear algebra, and statistics knowledge.

Springboard’s six-month machine learning bootcamp, developed in collaboration with the University of California San Diego, trains tech professionals to build a machine learning prototype and deploy it. You’ll have the chance to specialize in image processing, natural language processing, or advanced deep learning. The project-based learning emphasizes coding, machine learning algorithms, and machine learning architecture.

Mentors check-in for phone calls throughout the bootcamp, while you complete 15 projects and a capstone. Graduates report finding jobs at Netflix, Google, Microsoft, and Wayfair.

Texas Tech’s machine learning bootcamp, offered through the Office of Continuing and Professional Education and in partnership with Ed2go, provides 300 hours of learning over six months. Through courses on machine learning models, applied natural language processing, and development of neural networks, this bootcamp prepares you to take the Microsoft Azure AI Engineer certification exam.

The self-paced format requires that you invest about 15-25 hours of study time per week.

Created in 2011, Udacity offers short-term courses, including both free and paid machine learning bootcamps. It takes about 2-5 months to complete many paid bootcamps and about 10 weeks for introductory machine learning courses.

No matter the bootcamp, you’ll complete projects that provide opportunities to collaborate with external companies. Courses and bootcamps also offer constant feedback and career services, such as LinkedIn and GitHub profile help.

Operating since 2010, Udemy features machine learning bootcamps that let students across the world learn at their own pace —in their own language —with more than 150,000 available courses.

Coursework varies by bootcamp with on-demand videos, articles, and downloadable resources. You may use TensorFlow and Keras to build artificial neural networks or learn the basics of training a model. Admission requirements vary by bootcamp, but generally you should understand post-secondary mathematics and statistics.