Program  

Courses
Location
Corporate
Our Students
Resources
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
AI ENGINEERING
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

Location

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

Resources

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

Data engineering is a hot topic in recent years, mainly due to the rise of artificial intelligence, big data, and data science. Every enterprise is transforming in the direction of digitalization. For enterprises, data is full of infinite value. For all the data requirements of organizations, the first thing they need to do is to establish a data architecture/platform and establish a pipeline to collect, transmit and transform data, which is what data engineering does.

In a Data Engineering project , data is collected, organized, processed, distributed and stored. For example, before starting an AI and Data Analysis project, Data Engineers first need to connect to various data sources to collect data, then work on data transmission and transformation, and finally store the data in a designated place(e.g. a data warehouse) , in a designated format(e.g. a database). We call the full process “a data pipeline”. From the endpoint where the final data is stored, the AI or Data Analysis team will build their connection to the data and start their data activities. In many cases data engineering also automates this data pipeline.

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

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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