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

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

  • 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

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

What Do DevOps Engineers Do

There are many programs and courses at WeCloudData so one might wonder what are the differences between the career paths and job roles – for example, DevOps Eengineer and Data engineer. Both are exciting careers to embark on and they both offer in demand positions with high salaries.

Though some skills and tools overlap between the two, DevOps and Data engineers serve different purposes in a business and organization. Their toolkits and skill sets start to diverge quite significantly once you specialize and go deeper in the career paths. We will briefly cover some of these to help illustrate the differences.

Data engineers focus on the design and implementation of data pipelines. Their job revolves around data. Any tools they use are for the purposes of ingesting, extracting, processing and refining data at rest and in motion. Their primary tools to do this include Python, SQL, Spark and Airflow to name a few. The outcomes of their work leads to the business generating insights from raw data. Their work increases the data maturity of organizations and elevates the business to become a data-driven company.

DevOps engineers focus on the software and application delivery lifecycle. They straddle the development and IT operations worlds because their purpose is to streamline and integrate software development and delivery. Their skills and expertise revolve around software development, IT SysAdmin, cloud and infrastructure. They leverage tools and technologies that enable automation throughout the application development pipeline. Some of the primary DevOps engineering tools include Terraform, AWS CloudFormation, Ansible, Jenkins, GitLab, Docker & Kubernetes. The outcomes of their work lead to more rapid application development and feature releases, higher availability, scalability and resiliency of applications, greater automation across IT workflows and shifts in application architectures such as microservices.

DevOps and data engineers complement each other and are extremely valuable to the business when both are present in the organization. DevOps teams help boost workflow and application efficiencies and automation for data teams who can keep focusing on the organization’s data.

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.

Recommend courses for DevOps Engineering

Learn basic skills with our free WeCloudOpen Courses!

Join our free SQL and Python coding courses now and gain the skills and knowledge you need to start your career.