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Data Fellowships: AI Essentials
Learn foundational data science and AI skills that can be directly applied to your work and organization. This workshop is free for Simon Fraser University students.
LIVE, VIRTUAL SESSIONS
This online workshop is designed by leading data science and AI experts at Simon Fraser University. It is taught live by an experienced team of educators and researchers.
REAL OUTCOMES
Work on real-world data problems and build your industry relevant portfolio.
LEARN FROM EXPERTS
Our SFU instructors have decades of experience teaching and consulting for industry and government.
BUILD YOUR NETWORK
Throughout the workshop, our instructors will provide hands-on guidance with the course material, as well as answer any career related questions. You will still be able to contact our instructors after the course ends in case you would like to connect further.
"I cannot overstate how well Data Fellowships has addressed both the technical and ethical aspects of AI and machine learning. I would absolutely recommend this workshop, especially to those without technical training in computer science."
-Camylle Lanteigne, Montreal AI Ethics Institute
Who is this for?
- You are interested in switching or expanding your career in the data science and AI fields.
- You want to learn practical and application-focused material that can be applied to your work immediately.
- You want to improve your data science and AI skills and apply more data rigorous methods or automated processes to your job.
- You are interested in gaining more industry relevant technical skills.
If you are currently employed, you may qualify to get up to $1000 off this training program. Once you apply, a member of SFU's Big Data Hub will reach out within two business days with your discount code.
Did you know your organization may be able to cover the cost of this training program through a tuition reimbursement? If you need additional information to submit to your organization, email us at sfu_bigdata@sfu.ca
What you will learn
- Gain foundational knowledge in data science and AI concepts and techniques.
- Apply data science and AI techniques and concepts to real world problems.
- Use best practices to identify and mitigate biases and risks throughout a project.
- Implement machine learning to analyze and gain new insights from your datasets.
- Gain additional expertise with commonly used data science tools, making use of Python and Jupyter Notebooks.
Why choose SFU?
TAUGHT BY LEADING EXPERTS
Our instructors, who have decades of experience in both development and state-of-the-art big data and AI research, will teach you in-demand skills, approaches, concepts and tools.
EXPERIENTIAL LEARNING
Gain hands-on experience working on complex data science problems, ensuring the knowledge you obtained in this course can be directly applied to the real-world.
GET REAL-TIME FEEDBACK
This course is taught in a live virtual learning environment, enabling real-time feedback and encouraging you to build connections with your peers.
Testimonials
"I would highly reccomend this training program. It helped me learn more about AI and machine learning and sharpened my critical insight into the applications of algorithms as the knowledge is essential for those interested in digital methods."
Dilli Bikram Edingo, Ph.D. candidate, York University
"I took SFU Data Fellowships in order to learn more about machine learning methods. My research is currently focusing on the production and transformation of scandals in news media, and this course will help me expand the range of analytical methods I can use to analyse large data-sets of news articles. The lectures were excellent, providing solid introductions to machine learning concepts and real-world applications. I would absolutely recommend this course as it is well-designed and taught by a professional and skilled team committed to creating a positive learning environment for all skill levels."
- Colette Colligan, Professor of English, SFU
PREREQUISITES
Participants should have some knowledge of Python, such as material from the "Introduction to Python" workshop offering by the SFU Library. Some experience in coding would be beneficial. This course is designed to accommodate people with different levels of programming knowledge, and you will gain value regardless of your previous coding experience.
Still Unsure?
If you'd like to discuss with our team about whether you have the prerequisites to gain value from this course, please email sfu_bigdata@sfu.ca
Schedule
Duration: six days
Pacific Time
Every Wednesday and Friday from March 15 – 31, 2023 (11:30am—1:30pm each day)
Scale AI Grant
$995
- If you qualify for the Scale AI grant
- If you are not a SFU student
- Apply for the grant
Full Price
$1995
- If you do not apply for the Scale AI grant
- If you are not a SFU student
Early Bird
$795
- Get $400 off if you register before June 24 and apply for the grant
- Without the grant, early bird price is $1595
- Apply for the grant
Regular Price
$995
- If you register after June 25 and apply for the grant
Full Price
$1995
- If you do not apply for the Scale AI grant
- If you register after June 25
Register for Data Fellowships
Gain the knowledge and skills recruiters and organizations value.
Instructors
Fred Popowich
PhD, Artificial Intelligence and Cognitive Science
Scientific Director, SFU’s Big Data Hub and Professor of Computing Science
Jillian Anderson
MSc, Computing Science, Big Data Concentration
Big Data Developer, SFU's Research Computing Group
Steven Bergner
PhD, Computing Science
Director of Data and Analytics at SFU’s Big Data Hub and Term Lecturer in SFU’s School of Computing Science
Ishan Sahay
MSc, Computing Science, Big Data Developer, SFU's Research Computing Group
Paige Tuttosi
PhD Candidate, Computing Science
Research Assistant, SFU's Big Data Hub
FAQ
How do I know this workshop is right for me?
If you are interested in switching or expanding your career in the data science and AI fields, this is the right workshop for you. It is designed to accommodate people with different levels of programming knowledge, and you will gain value regardless of your previous coding experience.
Will I receive SFU credit for this course?
This is a non-credit course for which you will receive a Certificate of Completion.
Can I take this course at my own pace?
This course offers a live, structured learning environment with learning objectives and activities for each day. You will need to be available during the designated class times.
What is the refund policy?
There are no refunds offered for this workshop, however you may transfer your seat to another person free of charge. For questions about seat transfers please contact sfu_bigdata@sfu.ca.
Can fees paid for Data Fellowships qualify for tax credits?
For more information, please refer to SFU's Fees and Tuitions page.
What is SFU's Big Data Hub?
Simon Fraser University leverages the power of big data so Canada can lead in a digital world. With over a decade of leadership in the big data field, SFU’s Big Data Hub engages with our partners to fill critical talent shortages, generate new knowledge and contribute to an innovative economy. We connect government, industry and the community to deliver data-driven solutions to challenging problems. With 24 governmental partners and over 100 companies actively engaged, we are empowering people to use data for impact and social good to solve global challenges and transform society.