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

Data Engineer Career Path

The concept of data engineering covers a wide range. Whether building a data warehouse or displaying big data analysis result on the front end of a mobile app, it is the work of a data engineer. Basically, data engineering has two broad directions: Data Warehousing direction, and Big Data direction.

Data Warehousing: This direction is mainly to work in the data warehouse, perform data modeling in the data warehouse, and perform various data processing and ETL process. The main skills required for this kind of data engineering are SQL, Python and Linux. More senior data engineers in this area will become data architects, responsible for designing and optimizing the data architecture of the entire enterprise.

Big Data: Data engineering in the direction of big data mainly uses big data technologies, such as Spark, to perform batch or stream processing of multiple data sources. This kind of data engineering is more inclined to software engineering, and the system structure is more complex. In this regard, data engineers need to better understand the architecture of cloud platforms and use more complex system tools, such as Kubernetes, Kafka, etc. Senior data engineers in this regard will become data system architects.

Of course, each type of data engineers is not independent of each other, and many companies require data engineers to have both capabilities.

If you want to know if data engineer is the right path for you, please watch the following video:

If data engineer is the right path for me?

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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