Land Your First
AI Job Faster
Build job-ready AI skills through real-world team projects and career mentorship
Get Started in Less Than 60 Seconds • Cancel Anytime
- Real-World Projects
- Collaborative Community
- Expert Mentorship
A clear path to landing your first AI job
Our 17 Career Paths give you everything you need to build an impressive portfolio of projects and break into the AI job market.
AI Engineer
Develop and implement AI solutions to solve practical business challenges.
Machine Learning Engineer
Train and deploy machine learning algorithms into production environments.
Data Scientist
Use AI to analyze data, build predictive models, and solve business problems.
GenAI Expert
Build and fine-tune generative AI models that power business innovation.
Team Up. Build AI.
Grow your skills and land the job.
Collaborate on real-world AI projects that make hiring managers say “wow.”
1. Join a project team
- New cohorts launched monthly
- Fresh, real-world AI projects to choose from
- Get matched with a motivated team of peers
2. Build amazing AI together
- Dive into an intense 6-week team project
- Build, fine-tune, and deploy real AI solutions
- Get personalized mentorship and feedback
3. Supercharge your portfolio
- Verified certificates for every completed project
- Each new AI project boosts your credibility
- Typically 3 projects land interviews
Get Started in Less Than 60 Seconds • Cancel Anytime
GenAI, Python, Machine Learning...
Pick a course and start learning
Start learning for free, choose from our library of 40+ courses appreciated by millions of users worldwide.
- Intermediate
- 6 hours
GenAI & LLMs A-Z™
Learn cutting-edge AI: Large Language Models (ChatGPT and LLaMa), and how fine-tune LLMs for Business Use-Cases.
- Beginner
- 3.5 hours
Careers in Data Science
An overview of data science, its most in-demand skills, and how to land a job in the field.
- Intermediate
- 6 hours
Machine Learning Level 2™
Master state-of-the-art Machine Learning with hands-on tutorials on XGBoost, LightGBM, and CatBoost, tackling real-world challenges.
- Beginner
- 8.5 hours
Tableau A-Z™: Hands-On Training
Learn Tableau for data science step by step. Real-life analytics exercises & quizzes included. Learn by doing!
- Intermediate
- 14 hours
Artificial Intelligence A-Z™
Learn to code self-improving AI for a range of purposes. Every tutorial starts with a blank page and we write up the code from scratch.
+40
Browse our full course catalogue
Learn only from
the best instructors
SuperDataScience teachers are top-class practitioners with a talent for making the complex simple.
Kirill Eremenko
GenAI Educator
Luka Anicin
Machine Learning Engineer
Samuel Hinton
Data Scientist, Astrophysicist, and Educator
Hadelin de Ponteves
Al Entrepreneur
Get Started in Less Than 60 Seconds • Cancel Anytime
Don't take our word for it
This is what some of our students have to say about learning with SuperDataScience:
Brian Treftz
Machine Learning Enthusiast
I’ve achieved more in just one month than I did in the entire previous year of self-teaching, from mastering Python basics to understanding the fundamentals of Data Science.
Sanaz Afshar
Data Analyst
After only a few months learning at SDS I was able to get a Data Analyst job at Integnology. Even after I got the job, I am still continuing learning from the many different courses. Thank you SuperDataScience!
Shankar Jha
Data Engineer
With the help of the study plan and support from the SDS team, I was able the get a Data engineering role in just 8 weeks.
I would recommend this to anyone who is looking to transition into the data field. Don’t let your background kill your eagerness to learn data science!
Rosana de Oliveira Gomes
Lead ML Engineer & Project Manager
Moving from an academic career, I had no idea what to learn and where to find high quality content. But then I found SDS! From podcasts to hands-on courses and workshops, SDS has helped me to get and remain up to date with the current trends in the field.
Miro Kuru
Data Services Software Engineer
With SDS’s Learning Path I have acquired a solid set of skills for my career transition so efficiently that I’m at awe.
Only 3 weeks after joining the path and completing the Tableau module, I was able to join a data viz competition and win it!
Misha Mehta
Analyst
SDS combines all the skills you need to become a data scientist into a neat, hands-on package with just enough theory and math for you to understand what you are doing. The courses on Tableau, Machine Learning A-Z are by far the best courses I have seen on the internet.
Nebojša Banaj
SDS Student
The Learning Path gave me awareness on my strengths and weaknesses and various ways to better myself. It made me able to formulate a sound strategy of developing a successful career. I have no doubts in my future as a Data Scientist.
Inna Mizulina
Manager Supply Chain Analytics
Thanks to SDS, I discovered my passion for Data Science and built the confidence I needed to work in this field, putting knowledge into practice and empowering my career.
Larry Weixel
Systems Engineer
The instructors have a relaxed, yet professional style and provide answers to anticipated questions during the courses. I continue to be impressed by the content of the SuperDataScience courses!
Guy Manova
Media Analyst
The instruction here is hands down the best I’ve seen. SuperDataScience instructors simplify the complex, focusing on what you need to know without confusing you with what you don’t.
Frequently Asked Questions
Will I earn a certification?
Yes, every course on SuperDataScience will grant you a unique certificate you can display on LinkedIn and use with employers as proof of your achievements.
How much is it?
A SuperDataScience membership grants you full access to courses, live labs, learning paths, and our community of learners. It costs $35 per month or $276 per year, and it is an all-access pass to all the data science & AI learning you need.
What are the prerequisites?
Our library offers courses for complete beginners to enter the field (LLM, AI, Python, Tableau, machine learning, …), as well as more advanced courses for those who already have data skills. Check out our our course catalogue for more information.
How long does it take to complete a course?
Courses vary in duration from 2 to 40+ hours of content. They are very practical and packed with tutorials and projects, so our students typically complete them in 2-3 days to a few weeks.
How practical are the courses?
All courses feature hands-on tutorials which will require you to install free tools and code along on your machine (don’t worry about tech requirements, your laptop will probably be more than enough!). Expect to build numerous projects for your portfolio and solve plenty of real-life cases as part of our courses!
Will I become a data scientist if I join SuperDataScience?
Thousands of students, in the past 7 years, have successfully started a career in data analysis, data visualization, data science, and machine learning using our courses. With the right amount of effort and dedication, you can be the next one. If you are unsure about your next steps in data science, feel free to reach out at support@superdatascience.com so our team can advise you on the best choice based on your needs.
Are these courses for me?
SuperDataScience has a vast range of courses that fit a variety of data science learning needs. If you are a beginner with little to no previous knowledge of math, statistics, and computer science, our A-Z courses are made exactly for you. They teach the basics and skip unnecessary complexities, using intuition and lots of real-life cases. If you are an intermediate or advanced user, you’ll also find many courses that will be great for you (whether you’re looking to strengthen your skills in Python, R, Tableau, AI, or more).
If I get stuck, who will help me?
The SDS community is very welcoming and we strive to help all students achieve their goals. We answer all questions coming to our support@superdatascience.com email, as well as requests from our community.