This is aworkshop that is a prerequisite for the Lip Blush Class, Eyeliner Class and Power, Ombre, Nano Brow Class
This is aworkshop that is a prerequisite for the Lip Blush Class, Eyeliner Class and Power, Ombre, Nano Brow Class.
In this class you will learn about the machine and techniques, needle knowledge, how to find the correct speed, fine lines, pendulum, whip shading and pointillism.
Delmar College has been inspiring and training professionals since 1950! Honoured to be recognized as the most respected name in post secondary for Cosmetology, with the largest alumni network in Alberta, we truly value the lasting relationships we have built.
Owned and operated by Dan and Carla Cavanagh, both of whom have their Bachelor of Education Degrees from the University of Alberta, as well as hold Masters Degrees in Educational Administration and Curriculum Development.
Our Instructors are professional Hairdressers, Barbers, Estheticians, Platform Artists, Medi- Spa and Salon Owners. Leaders that understand the value of project based learning, encouraging you to think critically and creatively!
We are also registered under the Private Vocational Training Act and are members of the National Association of Career Colleges (NACC) as well as the Alberta Association of Career Colleges (AACS). Let us share our passion for learning, and help you become the career professional you have always dreamt of!
NetSoft’s Cloud Engineer Program trains students in Machine Learning. It enables students to gain the proficiency needed to harness the power of these products and other cloud and DevOps tools.
Envision Learning provides data analyst courses in the field of data analysis, focusing on techniques and tools used to extract insights and make informed decisions based on data.
This course gives you the opportunity to develop a broad understanding of machine learning, with no technical coding or programming knowledge required.
Explore the concepts of Machine Learning and understand how it’s transforming the digital world.
This course covers the fundamentals of machine learning techniques ranging from various Support Vector Machines algorithms, k-means clustering, Random Forests, Collaborative filtering to recommendation systems, Mahout on Hadoop and Amazon EMR, etc.
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