Artificial Intelligence 101

Description: As data generation has increased rapidly, knowledge in Artificial Intelligence (AI) has become a critical asset in any career, business, or academic program. Jobs that require AI skills have become the fastest growing in North America, and the demand continues to grow. Becoming AI savvy at an early age will empower you to pick a successful career path, sharpen your academic portfolio, and prepare you to properly communicate insights from big data in any field you pursue.  

**PLEASE NOTE THAT THIS EVENT IS OPEN TO HIGH SCHOOL STUDENTS ONLY**

**PLEASE BRING YOUR OWN LAPTOP**

In this bootcamp, we will help you:

  • Gain an understanding of what Artificial Intelligence is, learn about its applications, and understand its significant impact on your career path

  • Learn to program in Python through multiple hands-on exercises and use it to build an AI algorithm

  • Learn important concepts in statistics, computer science, and machine learning that will help you excel at school and university

  • Network with successful professionals in data science who are working on solving some of the most complex problems in Toronto and worldwide

  • Get career advice, and insights to online resources and academic programs that can further develop your data analysis and programming skills 

  • No previous programming knowledge is required for this bootcamp!

If you have any questions, please feel free to email us at: contact@thecodinghive.com or call (905)616-4836

Date & Location

Date: Sat-Sun, November 17-18

Time: 10am-4pm

Level: Introductory

Location: Startuptive

123 Edward St Suite 205, Toronto, ON M5G 1E2

 
 

Guest Speakers

 
Dr Fernando Suarez, Medical Science Lead at IBM Watson Health.   Fernando applies a scientific approach to problem solving to help lead design, prototype, and development of novel ways to understand, interpret and gain insights from written medical records, published medical literature and clinical trials as well as Real World Evidence.  Fernando has a background in computer science, information theory, data summarization and visualization that he uses to prototype new ways for physicians and other healthcare professionals to understand, view and interact with data. Fernando helps design and implement medical Natural Language Processing (NLP) and analytics algorithms along with other engineers , software developers and data scientists.  Fernando enjoys spending time with his very smart 7 year old boy and wife in Armonk, New York as well as cooking , science fiction books, drawing and building LEGOs.

Dr Fernando Suarez, Medical Science Lead at IBM Watson Health.

Fernando applies a scientific approach to problem solving to help lead design, prototype, and development of novel ways to understand, interpret and gain insights from written medical records, published medical literature and clinical trials as well as Real World Evidence.

Fernando has a background in computer science, information theory, data summarization and visualization that he uses to prototype new ways for physicians and other healthcare professionals to understand, view and interact with data. Fernando helps design and implement medical Natural Language Processing (NLP) and analytics algorithms along with other engineers , software developers and data scientists.

Fernando enjoys spending time with his very smart 7 year old boy and wife in Armonk, New York as well as cooking , science fiction books, drawing and building LEGOs.

Katie Houlahan, PhD Student, University of Toronto, Ontario Institute for Cancer Research   Katie started her training as a chemist earning an Honours Bachelor’s Degree in Chemical Biology at McMaster University. Early on in her degree she was introduced to the world of computational biology; first through an internship at the Ontario Institute for Cancer Research where she worked on an international collaboration to evaluate machine learning methods to detect cancer causing mutations.  Excited by the application of machine learning in healthcare, she next worked on methods to predict cancer drug sensitivity alongside experts at the University of California, Santa Cruz and the Oregon Health & Science University.   Now, Katie is a PhD student in the Department of Medical Biophysics at the University of Toronto studying the genetic underpinnings of prostate cancer. She is both a Vanier Scholar as well as Vector Institute Postgraduate Affiliate and is excited to share her journey and experience.

Katie Houlahan, PhD Student, University of Toronto, Ontario Institute for Cancer Research

Katie started her training as a chemist earning an Honours Bachelor’s Degree in Chemical Biology at McMaster University. Early on in her degree she was introduced to the world of computational biology; first through an internship at the Ontario Institute for Cancer Research where she worked on an international collaboration to evaluate machine learning methods to detect cancer causing mutations.

Excited by the application of machine learning in healthcare, she next worked on methods to predict cancer drug sensitivity alongside experts at the University of California, Santa Cruz and the Oregon Health & Science University.

Now, Katie is a PhD student in the Department of Medical Biophysics at the University of Toronto studying the genetic underpinnings of prostate cancer. She is both a Vanier Scholar as well as Vector Institute Postgraduate Affiliate and is excited to share her journey and experience.


Hossein Sarshar, Data Scientist & AI Architect, Microsoft.   Hossein is a Data Scientist and AI Architect at Microsoft Canada which helps teams build their data science solutions on Microsoft Azure. Prior to his three-year data science journey, he had been a full-stack software engineer for almost a decade. Hossein Holds an MSC in Computer Science with focus on Machine Learning.

Hossein Sarshar, Data Scientist & AI Architect, Microsoft.

Hossein is a Data Scientist and AI Architect at Microsoft Canada which helps teams build their data science solutions on Microsoft Azure. Prior to his three-year data science journey, he had been a full-stack software engineer for almost a decade. Hossein Holds an MSC in Computer Science with focus on Machine Learning.

 
 
 
Nadine Smai, Microsoft Student Partner   Nadine is a second year student at the University of Toronto. She is studying digital enterprise management which is a business program. She fell in love with technology after going to hackathons!

Nadine Smai, Microsoft Student Partner

Nadine is a second year student at the University of Toronto. She is studying digital enterprise management which is a business program. She fell in love with technology after going to hackathons!

Charlie Zhang, Microsoft Student Partner   Charlie is a senior Computer Science student at the University of Toronto with a focus on AI. He joined the Microsoft Student Partner program in 2017. Check out his blog to read more about how he get started with AI/ML. https://chenyuzhang.com/

Charlie Zhang, Microsoft Student Partner

Charlie is a senior Computer Science student at the University of Toronto with a focus on AI. He joined the Microsoft Student Partner program in 2017. Check out his blog to read more about how he get started with AI/ML.https://chenyuzhang.com/

 
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