Machine Learning Course Overview
Develop Foundational Skills
In this online Machine Learning course, gain a comprehensive understanding of how machine learning and artificial intelligence works, to bring a technical perspective to the workplace.
Apply Machine Learning
Learn to apply machine learning algorithms to the real-world business problems your organization faces.
Make Data-Driven Decisions
Use real data and select the relevant machine learning model to create a project and learn how to leverage these frameworks and tools to make decisions.
Earn a BrainStation Machine Learning Certificate
When you complete your course, you will earn a BrainStation certificate, which can boost your LinkedIn profile and resume, helping you stand out in the job market.
Your Final Machine Learning Project
To earn your Machine Learning certificate, complete a machine learning project on a data set of your choosing. You'll structure your problem, develop a hypothesis, and select the artificial intelligence method that best suits your particular problem. Once you've implemented your model of choice, you'll optimize and present your findings.
What You'll Learn
Learn From Industry Leading Guest Speakers
BrainStation students get access to exclusive guest lectures and panel discussion events led by some of the world's leading subject matter experts and professionals.
Recent Industry Guests
Head of EMEA at Shopify Plus
Head, Shaping the Future of Media at World Economic Forum
Chief Product Officer at Ellevest
VP, Brand & Integrated Marketing at Refinery29
Head of Industry at Facebook
UX Design Lead at Google
Senior Data Scientist at Squarespace
Co-founder and CEO at Wealthsimple
VP of Digital & Cybersecurity Solutions at Mastercard
Chief Talent Officer at Shopify
Head of Business Marketing, North America at Twitter
VP of Product Innovation at Verizon
Vice President at AWS
Sharmeen Browarek Chapp
Vice President of Community at Twitch
Head of Marketing at Google
Chief Design Officer at Airbnb
Vice President & Head of Harry's Labs
VP, Digital Strategy & Product at Chipotle
GM & VP of Product at Shopify
Lead Product Designer at Headspace
SVP, Data Science and Engineering at Shopify
VP of Marketing at Chief
Senior Product Manager at The New York Times
CEO at Hootsuite
Head of Remote at GitLab
ECD at Wealthsimple
Interested in what a typical day looks like?
Our New York learning studio in New York was designed to inspire creativity, collaboration, and focused learning, with bright, engaging classrooms, multifunctional event spaces, and comfortable lounges.
Overlooking SoHo from a penthouse location, the BrainStation studio is a unique tech community hub in the city that never sleeps, with immersive corporate training sessions, industry events, expert panel discussions, and more.
Stay caffeinated at Quantum Coffee, our very own private coffee counter.
View the New York Campusto see our space.
The BrainStation Experience
Learn Cutting-Edge Techniques
Taught by Instructors with experience working with machine learning, you will learn the most in-demand concepts, skills, and tools.
Gain Hands-On Experience
Work on complex problems using real-world data and industry tools, to transform your new knowledge into tangible skills that deliver immediate impact.
Leverage the Synapse Learning Platform
Use BrainStation's intuitive, custom-built learning platform to access course content, attend live lectures, and collaborate with professionals around the world.
What Our Students Are Saying
What our students say
The highlight was definitely the people. I think that's what makes the class so special.
Max Smillie, Regional Community Lead & Hub Curator at lululemonRead Full Story
Join a Community of World-Class Professionals
When you take a BrainStation course, you are learning with the very best. Enroll today to tap into a global network of instructors and students at some of the most innovative organizations in the world.
Flexible Payment Options
BrainStation offers some of the most competitive payment options for digital learning, with a range of flexible plans and scholarship opportunities.
To learn more about course fees and payment options, view our course package.
Monthly Payment Plans
Split your tuition into smaller monthly payments.
Get your tuition reimbursed by your employer.
We offer a range of scholarships to make learning more accessible.
Please be advised: all scholarships must be approved and applied prior to enrollment in a BrainStation course or program.
Learn in the center of New York
503 Broadway, Penthouse New York, NY
Located in SoHo, our New York campus is a vibrant community hub, just steps away from some of the world's most influential technology companies.
Frequently Asked Questions
Will I earn a Machine Learning Certificate?
Yes, when you complete this introduction to machine learning course, you will earn a Brainstation Machine Learning Certificate, which can boost your LinkedIn profile and resume, helping you stand out in the job market and when applying for data positions.
Do I need to know math and statistics?
Yes, some knowledge of math and statistics will help learners to succeed in the Machine Learning course. To understand machine learning algorithms and neural networks, it’s a good idea to have a strong understanding of mathematics to keep up with the pace of the classroom.
Beyond the classroom, knowledge of algebra and calculus are important to enter the field of data science. It doesn’t hurt to have experience with computer science and software development as well, so that you can access databases and manipulate algorithms.
What payment options do you offer?
BrainStation offers some of the most competitive payment options for machine learning training, with a range of flexible plans and scholarship opportunities.
Monthly payment installments
Allowing you to split your tuition into smaller monthly payments.
Get your tuition reimbursed by your employer.
We offer a range of scholarships to make learning machine learning more accessible.
- Monthly payment installments
Are there any prerequisites for this Machine Learning course?
BrainStation’s Machine Learning course was created for those with some data experience, but who may be new to machine-learning and AI-specific algorithms and techniques. For this reason, a strong knowledge of Python is required.
What kind of backgrounds do people have that take this course?
By enrolling in BrainStation’s Machine Learning course, you can expect to learn from an Instructor with experience in the field, and to collaborate with like-minded, ambitious professionals keen to boost their artificial intelligence skills.
From an educational point of view, 80 percent of learners at BrainStation have a post-secondary education, with 20 percent having earned a Master’s degree or PhD.
The Machine Learning course typically has students with backgrounds in software development, computer science, AI, finance, or statistics, but professional backgrounds also vary quite a bit, especially as data skills are now highly valued across a range of fields and industries, including finance, marketing, healthcare, retail, and more.
What tools and programming languages do we learn?
Throughout the Machine Learning course, you’ll gain a comprehensive understanding of how machine learning and artificial intelligence works, to bring a technical perspective to the workplace.
You’ll use tools like SQL and languages like Python and C++ to apply machine learning algorithms and leverage frameworks to make decisions.
What’s the difference between the Data Science and Machine Learning courses?
BrainStation’s Machine Learning course covers material that is specific to machine learning (ML) and artificial intelligence (AI). By course’s end, you’ll have a comprehensive understanding of ML and AI that you can use in the workplace. This course requires knowledge of Python and data science to get started.
The Data Science course is an in-depth look at data science tools and techniques, including how to analyze large data sets, build predictive models, and create data visualizations in Python Packages. This is a broader understanding of the main responsibilities of a Data Scientist, as opposed to teaching the specific methodology behind machine learning algorithms, deep learning, and artificial intelligence.