We’ve always got our fingers on the pulse of the tech industry, paying close attention to the roles companies are struggling to fill and the skills needed by tomorrow’s aspiring tech professionals.
It’s no secret that companies around the world are crying out for Data Science and Machine Learning professionals. In true Ironhack fashion, we’re meeting the need by bringing you an all-new Data Science and Machine Learning Bootcamp!
In 9 weeks you can learn the skills you need to launch your career in tech. Fill your portfolio with projects that recruiters will love, and get the career support you need to join one of tech’s fastest growing niches.
Why Learn Data Science and Machine Learning?
If you’re looking for a career path with lasting power look no further than Data Science and Machine Learning, as there are few industries today that don't rely on them. With these skills you can work anywhere from government agencies and car manufacturers, to high fashion houses and music streaming platforms. The possibilities really are limitless!
As the technology grows so does demand for new skills, including Azure Machine Learning (281% growth), AI Art Generation (239%), Amazon EMR (227%) and Midjourney (218%), according to Udemy's Q1 2023 Workplace Learning Index. Our new bootcamp can put you on the path to becoming an NLP Engineer, currently the most in-demand specialization in the data world.
The Data Science and ML career path
These skills can complement a number of other roles in tech, but you can also specialize and land a job as a Data Scientist or AI Engineer. As you grow in your career you can expect opportunities like Computer Vision Engineer, ML Engineer, NLP Engineer, or MLOps Engineer, and many more.
What’s in the Bootcamp?
The Ironhack Data Science and Machine Learning Bootcamp is an immersive experience. Here are some key things to keep in mind:
Duration: 9 weeks
Format: Live online classes, hands-on collaborative projects, and asynchronous individual learning
Price: €8,000 €6,800*
*As one of our AI Bootcamp early-adopters, you’ll save 15% off tuition fees.
Made for beginners
If this is your first foray into tech, don’t panic! Our bootcamps are designed with beginners in mind.
You’ll have access to online prework before the bootcamp starts, which will give you a headstart by learning core knowledge and skills such as Python, statistics, and math foundations. The prework ensures that everyone, regardless of their background, is able to hit the ground running and succeed.
The Data Science and ML skills companies are looking for
In 9 weeks, you’ll learn everything you need to kickstart your career. Our comprehensive curriculum covers:
Exploratory data analysis
Machine learning foundations
Supervised and unsupervised learning
MLOps and cloud computing
At the midpoint of the bootcamp you’ll also be given the opportunity to specialize in either Natural Language Processing or Computer Vision, learning advanced topics in your chosen track.
Unlike other remote tech courses, you’ll receive live online classes with your instructor, to get your questions asked and answered in real time.
Our approach focuses on not just landing you a job, but finding a job that's aligned with your long-term goals. With our Career Services, you’ll gain a better understanding of the tech job market, get resume, portfolio, and pitch support, and personalized guidance with your Career Coach.
We’re proud to offer a variety of financing options to help you fund your education, including payment plans, loans, and bursaries. Money should never be a blocker to education. If you’ve got the will and the drive, we can help you find the means.
On average, 70% of our students use financing options to help pay for their bootcamp, so you’re in good company! Speak to your Admissions Advisor to see which is best for you, depending on your eligibility and location.
How to Get Started
If you’re interested in starting your AI journey with us, check out our Data Science and Machine Learning Bootcamp.
If that’s not quite what you’re looking for, we’re also launching new courses in:
We’ll see you in class!