Level up your career with live courses by industry experts.
Where professionals and companies build high-demand tech skills at scale.
Master high-demand skills with best-in-class support
Intermediate Python for Data Science
Applied Machine Learning
How to Stand Out and Advance Your Career
Analytics Engineering with dbt
Prompt Design & Building AI products
Search with Machine Learning
Full-Stack Machine Learning with Metaflow
Gain expertise with tracks, a collection of courses curated and taught by industry experts.
CoRise is partnering with Cloud Native Computing Foundation (CNCF) and the Linux Foundation to bring you this three course track. This track will kickstart your career in DevOps, starting with an overview of DevOps practices and tools before diving deeper into containers and deployment with Kubernetes.
Acquire the foundational skills you need to be an effective search engineer in this 6 week track, including how to integrate machine learning and natural language processing techniques into search engines.
Machine Learning Foundations
Gain the skills you need to become an effective machine learning engineer in this 3-course track, with applied machine learning, deep learning, deployment of machine learning projects, and more.
Data Science Academy
Led by leading practitioners, this three course sequence covers applied statistical modeling, practical tools for experimentation, and advanced methods for causal inference. Upon completion of the sequence you'll have the toolkit to grow your career as a data scientist and have an immediate impact across a wide range of industries.
Data Analytics Academy
Kickstart a career as a data analyst by learning the core skills needed to get started - business foundations and customer analytics, data visualization, and SQL, the most popular language for working with data.
Analytics Engineering Academy
Acquire the skills required for a career in data and analytics engineering, including the foundational tools of data modeling, SQL, and dbt used to organize, transform, and retrieve information for modeling and insights.
Meet a few of our incredible instructors
Our expert instructors lead data, engineering, and machine learning teams within the world’s most innovative companies.
Former CTO at Wikimedia
Director of ML at ShareChat, ex Spotify
Data engineering manager, data platform at Drizly
PhD at Stanford, formerly at Google
Learner success stories
Learn together and share experiences with other industry professionals
This was by far the best training course I have attended. The way it was structured and the support available from the instructor and TAs really made the learning valuable and lasting. I am looking forward to other courses in the near future!
Shoutout to the course team for helping me (and others) keep pushing along to make sure we get through the finish line, even when things are hard. I can't tell you how much I appreciate the accountability and extra help!
I love it - just enough content and guidance that can be covered between work, kids, and life but still learn and be challenged
Completing this course has given me the foundation and confidence needed to make the full jump from Finance to Analytics Engineering. I've always felt like I needed a "credential" to make the full leap. Having gone through the course and learning with this community has made me feel like less of an "imposter" and like I have the skills/knowledge to do this as my profession (or at least know where to go to find the answers!). Really appreciative of the entire staff, TAs, cohort, pod, etc.
Thanks for the awesome course! Really helped me to improve my skillset.
This course has been an amazing learning experience - no only because of the content of the course but also the way in which is taught! It has the perfect mix of online - individual work - community time and resources. The teaching materials are very high quality and the whole team are super attentive and responsive.
It's a great way to learn hands-on experience with dbt, get exposed to real life problems, industry experts and also networking! I highly recommend it!
I would recommend this to anyone looking to get their feet wet in dbt that needs a structured course and accountability to learn a new tool/skill
Absolutely stoked to share this! Over the last month I had the pleasure of learning from some of the great minds coming out of Facebook, Google, and other enterprises doing bleeding edge work in Machine Learning and Natural Language Processing. Being part of a select cohort spanning three continents I was able to hear about initiatives and research from AI/ML professionals around the globe. NLP is a fast emerging sector that is changing the landscape of software everywhere you look. I'm so honored to be part of this experience and am taking away so many great connections and insights in a field that I really love.
I’ve taken lots of online courses before. The track was a much better experience than any of the other courses.
The CoRise NLP course has been the most efficient way I've ever learned new skills. Having access to talented instructors and peers made the learning process both quicker and richer.
I got to learn and directly interact with world class practitioners of NLP which no other course in the market offers.
I really enjoyed the course and the community around it. I think it was a great way to not only learn about NLP, but also connect with other engineers in the field.
Interested in upskilling your company?
Courses you’ll complete
We make sure you have everything you need to learn and apply high-demand skills
Work on projects that bring your learning to life.
Made to be directly applicable in your work.
Live access to experts
Sessions and Q&As with our expert instructors, along with real-world projects.
Network & community
Core reviews a study groups. Share experiences and learn alongside a global network of professionals.
Support & accountability
We have a system in place to make sure you complete the course, and to help nudge you along the way.
Keep in touch for updates, discounts, and new courses.
Questions? Ask us anything at email@example.com
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