- About Us
- Using Big Data to Boost Athletic Performance
- Machine Reading for Literary Texts
- Finding a Cure for HIV with Big Data
- Linked Data for Women's History
- How Big Data Can Combat Fake News
- Algorithms for Safer Streets
- Discovering Wilde Data
- Deep Blue Data
- Big Data Meets Big Impact
- Previous Next Big Question Fund Projects
- Data Fellowships
- Using Data
- Upcoming Events
DATA FELLOWSHIPS: AI ESSENTIALS
Understand the core concepts of AI and machine learning including the tools, terminology and best practices for setting up and running a project.
Learn how to prepare data for AI or machine learning algorithms. Gain knowledge of best practices for effective project pipelines.
Understand the full machine learning pipeline, from training, validation and testing to evaluating the success of your algorithms and solutions.
BIAS IN AI
Examine best practices to critically evaluate data and algorithms for bias, identify your own biases and how to mitigate against biases in your data and algorithms.
Why Choose SFU?
TAUGHT BY LEADING BIG DATA AND AI EXPERTS
Our instructors, who have decades of experience in both development and state-of-the-art research, will teach you in-demand skills, approaches, concepts and tools.
Gain hands-on experience working on complex data science problems, ensuring the knowledge you gained 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.
PhD, Artificial Intelligence and Cognitive Science
Scientific Director, SFU’s Big Data Hub and Professor of Computing Science
MSc, Computer Science
Big Data Developer, Simon Fraser University
PhD, Computer Science
University Research Associate, Simon Fraser University
BSc Candidate, Statistics
BASc Candidate, Systems Engineering
Research Assistant, SFU's Big Data Hub
SFU is committed to supporting our communities, partners and students during these challenging times. In an effort to increase capacity in data-intensive careers, SFU’s Big Data Hub, together with Scale AI, will offer a $1000 grant to qualifying people applying for this course.
|Standard||Scale AI Grant||With Grant|
Note: Prices are listed in Canadian Dollars (CAD) and include all taxes and fees.
APPLY FOR THE SCALE AI GRANT
You may qualify for the $1000 Scale AI grant. Apply for the grant.
This grant cannot be combined with the Athena Pathways scholarship
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 email@example.com
What time zone is this course within?
Pacific Standard Time (PST), UTC -8
How do I know if this course is right for me?
This course is for those interested in switching or expanding their career in the data science and AI fields. Designed to be practical and application-focused, this course ensures you can apply what you learn in your work environment immediately. Whether you are just starting your career or are already a seasoned professional, SFU Data Fellowships: AI Essentials will give you the knowledge and tools to train up your data science and artificial intelligence skills in order to apply more data rigorous methods or automated processes to your job.
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 90 companies actively engaged, we are empowering people to use data for impact and social good to solve global challenges and transform society.