Program  

Courses
Location
Corporate
Student Success
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 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

  • 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

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

Student Success

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

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

Career guides

Career Guides

Our free career guide is designed to provide you with the knowledge and resources you need to excel in the fast-growing field of data. Whether you’re starting from scratch or looking to advance your skills, we’ve got you covered.

Inquire about our programs
Ready to kick start your career

Contact our advisors now to learn more about our programs and courses. They are here to answer all your questions and help you embark on a successful journey.

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Learn more about how WeCloudData can support you in your journey.

Data science uses a multidisciplinary approach to discover patterns in data and deliver data-driven insights. Data scientists help build better products, services, and improve business metrics via advanced predictive analytics, visualizations, and machine learning.

Data analytics requires strong attention to detail, a focus on key metrics, and the willingness to communicate. While it is a universal skill, data/BI analysts usually work in specific business domains like digital marketing, risk management, retail analytics, etc.

Data engineers specialize in designing, constructing, and maintaining the infrastructure necessary for collecting, storing, and processing large volumes of data. They collaborate with cross-functional teams to ensure data integrity, optimize data pipelines, and implement scalable solutions.

A career in machine learning engineering offers exciting opportunities at the forefront of technological advancements. Machine learning engineers work on designing, developing, and deploying algorithms and models that enable computers to learn and make predictions without explicit programming. 

DevOps is the backbone of modern agile software delivery and IT infrastructure. The outcomes of their work lead to more rapid application development and feature releases, scalability and resiliency of applications, greater automation across IT workflows, etc.