Our Students
Bootcamp Programs
Short Courses
Portfolio Courses
Bootcamp Programs

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 & Big Data
Data Engineering

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

  • Industry-leading curriculum
  • Portfolio projects
  • Part-time flexible schedule
Portfolio Courses

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

  • Portfolio project workshops
  • Work on real industry data & AI project
  • 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

Our Students

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

Read blogs and updates from our community and alumni

Explore different Data Science career paths and how to get started

Advice from WeCloudData Instructors

Data engineering is a job with new technologies emerging all the time. But there is also something traditional in data engineering that doesn’t change, which is the understanding of data. So if you want to become a data engineer, I have the following suggestions:

First, establish a connection with data. Data engineering is about data, so you need to be sensitive to data. Data engineers often face massive data, so as a data engineer, you should have the ability to quickly organize and classify data in his mind and visualize it in his brain. To have such ability, you should often do some data-related work, such as data analysis or data processing. Or at least, often take a look at various data sheets.

Second, you need to have a solid hands-on ability. Data engineering is an engineering, which requires building. In order to grow such ability, try often to build something with code. If your are short of programming skills, at least try to use some tools, or learn to optimize your operating system based on some tutorials.

Third, it is suggested that you have a set of self-learning methods. Technological updates of data engineering change rapidly, so it requires you to constantly learn new techniques. At the same time, each project will have some new knowledge that you may not know, which also requires you to learn quickly. Therefore, a set of your own learning methods to help you get started quickly is necessary.

Finally, data engineering also has some basic skills that you must master, such as SQL, Python, which are necessary skills in most of companies.

Check out other career guides

Our Career Guide provides all the resources you will need to help you get started in navigating data careers. We include free resources, guides, and tools that will help you get started.


WeCloudData is the leading data science and AI academy. Our blended learning courses have helped thousands of learners and many enterprises make successful leaps in their data journeys.

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