This part-time, week-long course offers foundational data science and AI concepts that can be directly applied to your work and organization. Designed and taught by leading data science and AI experts at Simon Fraser University, this online interactive course offers a hands-on learning environment, enabling you to immediately apply concepts and techniques you learn with live feedback and guidance from instructors. You will come away with the kind of data science experience and knowledge that organizations and recruiters value.
This course runs from July 13-17, 9am-1pm PDT each day.
Spaces Are Limited
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.
View Course Syllabus
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 Initiative and Professor of Computing Science
PhD, Computing Science
University Research Associate, Simon Fraser University
MSc, Computer Science
Big Data Developer, Simon Fraser University
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 Initiative will offer a grant to everyone applying for this course.
|Standard||Capacity Building Grant||Now|
|Early Bird Rate ($350 off before June 29)||
Note: Prices are listed in Canadian Dollars (CAD) and include all taxes and fees.
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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 time zone is this course within?
Pacific Daylight Time (PDT), UTC -7
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.