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Launch your career in Data and AI through our bootcamp programs

  • Industry-leading curriculum
  • Real portfolio/industry projects
  • Career support program
  • Both Full-time & Part-time options.
Data Science Bootcamp

Become a data engineer by learning how to build end-to-end data pipelines


Become a data analyst through building hands-on data/business use cases

Become an AI/ML engineer by getting specialized in deep learning, computer vision, NLP, and MLOps

Become a DevOps Engineer by learning AWS, Docker, Kubernetes, IaaS, IaC (Terraform), and CI/CD

Short Courses

Improve your data & AI skills through self-paced and instructor-led courses

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Portfolio Courses

Learn to build impressive data/AI portfolio projects that get you hired

  • Portfolio project workshops
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  • Job readiness assessment
  • Career support & job referrals

Build data strategies and solve ML challenges for real clients

Help real clients build BI dashboard and tell data stories

Build end to end data pipelines in the cloud for real clients


Choose to learn at your comfort home or at one of our campuses

Corporate Partners

We’ve partnered with many companies on corporate upskilling, branding events, talent acquisition, as well as consulting services.

AI/Data Transformations with our customized and proven curriculum

Do you need expert help on data strategies and project implementations? 

Hire Data, AI, and Engineering talents from WeCloudData

Student Success

Meet our amazing alumni working in the Data industry

Read our students’ stories on how WeCloudData have transformed their career


Check out our events and blog posts to learn and connect with like-minded professionals working in the industry

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Explore different Data Science career paths and how to get started

Our free courses and workshops gives you the skills and knowledge needed to transform your career in tech

Panel Discussion

Machine Learning Engineer: Career Session – How to Prepare for ML Engineer Jobs

About the Event

Welcome to part 2 of the ML Engineer Career Talk! In the previous session, we introduced ML Engineering, career path, and job market. In this workshop, the speakers will introduce how to prepare for an ML Engineer job.


  • ML Engineer toolbox
  • Building ML Engineer portfolio
  • Ace the MLE job interview
  • Q&A

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 an Machine Learning Engineer?


Rex Liu, Twitter

  • Rex is a data engineer at Twitter, working on data pipelines that powers Twitter’s content discovery engine. Prior to joining Twitter, Rex worked as an ML Engineer at Kinaxis’s ML team (formerly Rubikloud ML team), and a data scientist at The Globe and Mail.

Ligeng Xia, Facebook

  • Ligeng Xia is currently an ML Engineer at Meta working on recommender systems. Previously, Ligeng worked as ML Engineer as well as Data Scientist at Paytm Labs, and Canadian Tire.
  • Tell us about uou
  • You both worked as data scientist and are now ML Engineer. What’s the difference?
  • Rex you also worked as a data engineer. I think nowadays things a a bit blurred. What’s your take?
  • Ligeng you worked for large retailer and then startup before joining big tech. Tell us about your experience
  • What excites you the most in your job?
  • Can you tell us about your interview experience? A lot of leetcode for big tech?
  • Do you have any suggestions for people who want to get into ML Engineering?

Learn More:

Are you interested in MLE & MLOps? WeCloudData’s official Machine Learning Engineering Bootcamp starts this November. 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!

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