Program  

Courses
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

Become a modern data engineer by learning cloud, Airflow, Spark, Data lake/warehouse, NoSQL, and real-time 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
AI ENGINEERING

Beginner

Intermediate

Advanced

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

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

Let’s get together and enjoy the fun from treasure hunting in massive real-world datasets

Read blogs and updates from our community and alumni

Explore different Data Science career paths and how to get started

DevOps Engineer Job Search

Of course, it’s not enough to just have a portfolio highlighting your skill sets and one or more DevOps projects. The DevOps job search is more than that and takes time, commitment and focus. WeCloudData can help you during your DevOps job search and beyond. We recommend you create a plan and follow through with it but also allow for flexibility as new developments unfold and life changes in unexpected ways.

A rough sketch of a job search plan might look as follows:

  1. Complete your DevOps education and training
  2. Create a list of desired job titles, positions and target industries and companies
  3. Build your DevOps portfolio through projects that reflect the requirements from your desired job positions and companies
  4. Create cover letters and resumes that showcase your portfolio, education, skills & experiences
  5. Create a schedule that involves job applications, interview prep, and most importantly, networking
  6. Network, network, network
  7. Review what’s working and what’s not in your job search and adjust accordingly

Landing your dream job in DevOps probably won’t happen overnight (but if it does, congrats!). The job search will take time and everyone’s situation will be unique. Regardless of what your situation is or how long it may take, WeCloudData is here to help and support you every step of the way. Reach out and let us know how we can help in your job search.

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

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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