Jigsaw Labs

The course is delivered in four modules: backend engineering, professional codebases, devops, and data pipelines. In the professional codebases module, students work with either a startup or an open source project to write code in a professional environment. 1. Backend engineering Students begin with by learning the fundamentals of coding in Python and SQL. This includes working with APIs, object oriented programming, writing tests, and relational databases in postgres. At the end of the module, students complete a solo project of building a data dashboard, where they pull in data from an API, loading it into SQL, and display results with an interactive web-based dashboard. 2. Professional Codebases This module reinforces backend engineering skills, but this time students practice exploring a codebase, reading other developer's code, understanding bugs, and writing professional level code to write a fix. Students will work either on an open source project, or with a startup to complete this work, but do so during class time, and in a classroom environment. 3. Devops In the third module, we'll learn devops skills by learning about containerization and deployment. In doing so we'll learn how to deploy an application using Docker, and AWS with a CI/CD workflow. 4. Data Pipelines In the fourth module, we'll round out our data engineering skills by learning S3, Airflow, and Redshift. We'll also learn to better structure code with DBT, and build dashboards with looker. 5. Post-work After completing the course, students are expected to attend bi-weekly classes where students will work on projects, review course material, and prep for interviews in a classroom environment.