Data Bootcamps

Data Bootcamps

Part-time Fully Remote Free
Explore architecture design, implementation plans, and best practices for projects involving terabytes of data.

Get to Know Our Programs

Data Engineering Bootcamp

8 weeks

About

The Data Engineering Bootcamp helps IT professionals to better understand architecture design, develop implementation plans, and apply best practices for projects involving data and its transformations. By joining this program, students will develop new skills and learn Wizeline's best practices for confidently creating and implementing an end-to-end cloud data solution.

Level

Intermediate

Pre-requisites

Programming skills and data engineering background required.

Requirements

Personal computer Personal computer

Python development environment Python development environment

Personal cloud account (AWS, GCP) Personal cloud account (AWS, GCP)

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Scala Bootcamp

8 weeks

About

The Scala Bootcamp provides an introduction to the Scala programming language, enabling software developers to start writing working code that is clean, testable, and reusable. This bootcamp also covers the use of tools in the production environment: sbt, ScalaTest, and IntelliJ.

Level

Beginner

Pre-requisites

Programming skills required.

Requirements

Personal computer Personal computer

Github account Github account

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What’s Involved

Self-Study

Self-Study

Learning path curated by Wizeline experts.

Mentorship

Mentorship

Personalized support from a Wizeline expert.

Live Workshops

Live Workshops

See firsthand how practical skills are put into action.

Capstone Project

Capstone Project

Apply all you’ve learned in a project designed to demonstrate your growth.

Community

Community

Access our Wizeline Academy Slack channel, where you can connect with our alumni and Wizeline community.

A Day in a Wizeline Academy Bootcamp

With a mix of live workshops, self-study, and on-demand mentorship, our bootcamps are flexible to accommodate you, your work, your time management, and your life. Here's an example of a typical schedule:

8:00 AM
Self-study time.
Finish a chapter of the learning path.
9:00 AM
Go to work.
5:00 PM
Commute home.
6:00 PM
Join the workshop session on Zoom.
7:00 PM
Send your mentor a Slack message to review a pending question.

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Interested in sharing your expertise at Wizeline Academy? Send us an email at academy@wizeline.com