What we're about

Let's get together and enjoy the fun from treasure hunting in massive real-world datasets. WeCloudData offers free Data Science, Data Engineering, and Machine Learning workshops delivered by experienced data scientists from Google, Amazon, BlackBerry, Equifax, BMO, RBC, Scotiabank and TD to help you jump start on interesting and meaningful projects. Happy big data mining!

Upcoming events (4+)

[Webinar] Hands-on Workshop: Machine Learning Engineering with AWS SageMaker

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In this hands-on workshop, WeCloudData will walk you through the process of building an ML pipeline in Amazon SageMaker. The speaker will start by introducing machine learning engineering, MLOps, and some best practices. Then a guided hands-on lab will give you an introduction to SageMaker.

  • Lab Environment:
  • Please make sure you have an AWS account with FullAccess to AWS SageMaker and S3
  • You will be accessing the SageMaker notebook via a web browser
  • If you’re just watching the demo, the recording will be available after the event via Meetup email to our members

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You can join the workshop with this Zoom meeting link:
https://us02web.zoom.us/meeting/register/tZYqdOirrDgtE9wEZws0A_9WKE_W9gb_7xro

*Please make sure to leave time before the start of the workshop for registration

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Schedule (Times listed below are in EDT):

  • 6:00pm - 6:30pm: Open registration
  • 6:30pm - 7:15pm: ML Best Practices and MLOps Intro
  • 7:15pm - 8:30pm: SageMaker Hands-on Lab
  • 8:30pm - 9:00pm: Q&A

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Topics We Will Cover:

  • Introduction to ML Engineering
  • ML Engineering and MLOps Job Market
  • AWS SageMaker 101
  • Hands-on Lab: Train and Deploy ML Models using SageMaker

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Who is this event for?

  • Anyone who wants to learn more about machine learning engineering using Amazon SageMaker
  • Data scientists who are interested in machine learning engineering

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Learn More:
Are you interested in Machine Learning & MLOps? WeCloudData's official ML Engineering Bootcamp starts on November 10th. Do not miss out on the chance to kickstart your future career - use the link below to learn more about how WeCloudData can help you advance your career and achieve your goals!

https://weclouddata.com/courses/online/ml-engineering-bootcamp/

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Speakers: Shaohua Zhang & Rhys Williams

Shaohua Zhang:
Shaohua Zhang is a practitioner and thought leader in applied data science and big data technologies. He has over 11 years of experience in applied data science and has built a strong reputation for constructing high-performance data scientist teams in the past. Shaohua is currently the co-founder and CEO of WeCloudData, Canada's leading Data Science Education Accelerator, where he works on bringing more Data Science and AI talents to the Canadian job market.
Prior to co-founding WeCloudData, Shaohua worked as a senior data scientist at Kik Interactive and also helped build a high-performance data science team at BlackBerry that focused on building innovative data science solutions for marketing, CRM, and product teams. He is specialized in user interest graph modelling, targeted advertising, scalable location intelligence, and large-scale recommendation engines for mobile personalization.
He has also collaborated with Ryerson’s Data Science Lab on several big data research projects and helped develop the big data course at Ryerson University in 2015, where he trained over 150 professionals on big data technologies. He is a Data Growth Coach at Communitech and the lead facilitator of the Communitech Academy Data Science Fundamentals Bootcamp.

Rhys Williams:
Rhys Williams is the lead AI engineer at Beamdata. He is an AI and robotics lover. He has been teaching the Python for Data Science courses and is in charge of the Deep Learning Capstone project course at WeCloudData. He loves robotics, raspberry pi, deep learning, and has developed an AI robot named Mr-B.

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Sponsorship: Manning Publications
This event is sponsored by Manning Publications. Visit manning.com and use code "weclouddata39" to receive a 39% discount on your next purchase. This discount code is eligible for all books and items sitewide.

Getting Hired in Data: How to Avoid Setbacks and Land Your Dream Job (Part 4)

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Are you trying to land a job in data, but can’t seem to get any traction? Spending day after day searching through job postings can begin to feel hopeless after a while. If data is in such high demand, shouldn’t it be easy to find a job? The answer is no.

It would be much easier to correct the mistakes preventing us from landing the jobs we desire if employers would send feedback to all the candidates they passed over. Unfortunately, this will never happen, and you are left to our own devices to troubleshoot your errors. How can you correct an error if you haven’t identified it? You can’t.

Luckily, there are industry professionals who know what it takes to get hired, and what employers are looking for. The easiest way to avoid the common challenges and speed bumps that trip so many of us up is to turn to professionals who have been in your shoes and down the path you are looking to conquer. Join Eric Liu as he shares inside information and discuss his tried, tested, and true method to get hired in the world of data.

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You can join the workshop with this Zoom meeting link:
https://us02web.zoom.us/meeting/register/tZ0tdOiqqDooHNCs5yDUjZrYrvwUvbcb_kih

*Please make sure to leave time before the start of the workshop for registration*

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What is WeCareer?
WeCareer, a WeCloudData company, helps people land data jobs.
WeCareer operates a mentorship platform that matches mentors and mentees by roles, industries, skills and services. WeCareer mentors are those who not only know their craft but also how to teach it to help mentees reach their full potential and deliver peak performance. WeCareer operates a mentorship platform based on an income share agreement: the mentor gets paid a share of the mentee’s income after the mentee gets hired.

Learn More: https://wecareer.ai/

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​​Speaker: Eric Liu
Eric Liu is the Head of the Data Analytics program at WeCloudData. He has over 25 years of experience in retail, commercial, and investment banking, and is highly specialized in data management, descriptive analytics, and predictive modelling. He has taught public speaking at Victoria College, data analytics at George Brown College, and retail and commercial banking at York University Schulich Executive Education Centre. Previously, he has worked at Siemens, ING Bank, ING Direct, CIBC, GE Money, Scotiabank (Senior Director), Affirm Financial (Director). Eric holds an EMBA from China Europe International Business School and an M.Eng. Operations Research from Huazhong University of Science and Technology.

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Sponsorship: Manning Publications
This event is sponsored by Manning Publications. Visit manning.com and use code "weclouddata39" to receive a 39% discount on your next purchase. This discount code is eligible for all books and items sitewide.

[Webinar] Machine Learning Engineering Career Panel

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Link visible for attendees

Do you have questions about Machine Learning Engineering and how to search for an MLE/MLOps job, even after reading multiple blog posts and articles?

Come talk to the real experts! Our speakers will share with you their personal journeys and views on choosing MLOps as a career.

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You can join the workshop with this Zoom meeting link:
https://us02web.zoom.us/meeting/register/tZMtcu6hqj4uGNxZRle6oggJqWwciSF4gAxP

*Please make sure to leave time before the start of the workshop for registration

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Description:
Many AI projects fail due to the lack of MLOps expertise to help put ML in production. Companies now realize that building successful AI products requires Data Engineers, Scientists, ML Engineers, and Product Managers to work in a team.

AI/ML Engineers play an essential role in putting models in production and ensuring models can be continuously integrated and deployed (CI/CD) with high-quality data (data-centric AI).

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Agenda:

  • Introduction to Machine Learning Engineering
  • Panel Discussion: Career in MLE/MLOps
  • Q&A

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Who is this event for?

  • Are you interested in pursuing a career in Machine Learning Engineering and MLOps?
  • Do you want to know what a career in MLOps entails?
  • Do you want to know what it takes to become a Machine Learning Engineer?

If you said yes to any of the above questions, then you don't want to miss this FREE Career Panel.

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Learn More:
Are you interested in Machine Learning & MLOps? WeCloudData's official ML Engineering Bootcamp starts on November 10th. Do not miss out on the chance to kickstart your future career - use the link below to learn more about how WeCloudData can help you advance your career and achieve your goals!

https://weclouddata.com/courses/online/ml-engineering-bootcamp/

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Speakers: Shaohua Zhang & Indrani Gorti

Shaohua Zhang:
Shaohua Zhang is a practitioner and thought leader in applied data science and big data technologies. He has over 11 years of experience in applied data science and has built a strong reputation for constructing high-performance data scientist teams in the past. Shaohua is currently the co-founder and CEO of WeCloudData, Canada's leading Data Science Education Accelerator, where he works on bringing more Data Science and AI talents to the Canadian job market.
Prior to co-founding WeCloudData, Shaohua worked as a senior data scientist at Kik Interactive and also helped build a high-performance data science team at BlackBerry that focused on building innovative data science solutions for marketing, CRM, and product teams. He is specialized in user interest graph modelling, targeted advertising, scalable location intelligence, and large-scale recommendation engines for mobile personalization.
He has also collaborated with Ryerson’s Data Science Lab on several big data research projects and helped develop the big data course at Ryerson University in 2015, where he trained over 150 professionals on big data technologies. He is a Data Growth Coach at Communitech and the lead facilitator of the Communitech Academy Data Science Fundamentals Bootcamp.

Indrani Gorti, Director of Platform and ML engineering at Loblaw Digital
Indrani Gorti is a polyglot with experience in data engineering, data science, and solving business problems using ML and AI. She has worked in major industries like Finance, Telecommunications, Technology, Retail, and Startups. Her work has involved end-to-end projects from data ingestion, and data analysis to the deployment of models in various setups using user transaction and interaction logs. Indrani is a Director of Platform and ML engineering at Loblaw Digital. She holds a BS and MS in Computer Science.

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Sponsorship: Manning Publications
This event is sponsored by Manning Publications. Visit manning.com and use code "weclouddata39" to receive a 39% discount on your next purchase. This discount code is eligible for all books and items sitewide.

Apache Iceberg: Enabling an Open Lakehouse Architecture for Data Analytics

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Data Lakes have been built with a desire to democratize data - to allow more and more people, tools, and applications to make use of data.

A key capability needed to achieve it is hiding the complexity of underlying data structures and physical data storage from users. The de-facto standard has been the Hive table format, released by Facebook, which addresses some of these problems, but falls short on data, user, and application scale. So what is the answer? Apache Iceberg.

Join this talk by Dipankar Mazumdar, Developer Advocate at Dremio to learn the architectural details of Iceberg and how it helps build a robust analytical platform.

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You can join the workshop with this Zoom meeting link:
https://us02web.zoom.us/meeting/register/tZMrc-iqpzgoH91wRvwdycxLKXX8oBXV0pDM

*Please make sure to leave time before the start of the workshop for registration

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Topics that will be covered:

  • What is a Table format in Data lakes?
  • Hive table format & why do we need a new one?
  • Architecture of an Iceberg table
  • What happens under the covers when we CRUD?
  • Benefits of this architecture & how it enables an open lakehouse

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Speaker: Dipankar Mazumdar, Developer Advocate at Dremio
Dipankar is currently a Developer Advocate at Dremio where his primary focus is advocating for data engineers/analysts/scientists on Dremio’s open lakehouse platform & various Apache foundation open-sourced projects such as Iceberg, and Arrow that helps data teams apply & scale analytics. In his past roles, he worked at the intersection of Machine Learning & Data visualization.

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Sponsorship: Manning Publications
This event is sponsored by Manning Publications. Visit manning.com and use code "weclouddata39" to receive a 39% discount on your next purchase. This discount code is eligible for all books and items sitewide.

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