Docker, Containerization and Orchestration with Airflow | Practical AI training | Applied Academy

Courses/Data Engineering

NOK 5,990Beginner · Docker · Docker Compose · Apache Airflow · Python · English

Docker, Containerization and Orchestration with Airflow

Containerize Python data jobs with Docker, define environments with Docker Compose and orchestrate them with Apache Airflow for ShopNow, a fictional retailer.

FormatInstructor-led1 day · in person, instructor-led

Duration: 1 day (8 hours), live
Where: Classroom, in person
Lab setup: Prepared VM with Docker and Docker Compose
Certificate: On completion

The case · ShopNow

ShopNow's data jobs run on one developer's laptop and fail on other machines and on the server.

Data jobsPython scripts with local dependencies

TodayStarted by hand on one machine

You buildA containerized pipeline orchestrated by AirflowPackage each job as a Docker image, define the stack with Docker Compose and run the jobs on a schedule from Airflow.

EnvironmentsOne Compose definition for development and test

JobsScheduled, retried and logged in Airflow

DockerDocker ComposeApache Airflow

ShopNow is a fictional retailer. All data is synthetic.

After this course you can

01Build small, reproducible Docker images for Python data jobs.
02Manage container data, networks and configuration with volumes and environment variables.
03Define multi-container environments for development and test with Docker Compose.
04Run Apache Airflow in containers with Docker Compose.
05Schedule, retry and monitor containerized tasks from Airflow DAGs.

Steps

Includes a lunch break and short breaks.

Containers and imagesIdentify how containers, images and registries work and how they differ from virtual machines.Lab · Run, inspect and stop containers from public images.

Are you ready?

Made forData engineers and developers who run data jobs and want reproducible environments and scheduled pipelines.

You'll needBasic command line skills: moving between folders and running commands.Basic Python skills.No prior Docker or Airflow experience is required.

Setup checklistInstructor-ledBring a laptop with a web browser and an SSH client. You connect to the prepared VM.The VM has Docker, Docker Compose and Python installed.

Company laptops sometimes block SSH connections to the VM. Check with your IT team before the course.

Questions

Instructors

Rukhmah Aamir

AI and ML Engineer with experience in content creation and in end-to-end solution design and implementation.

I am an AI engineer who loves solving real data problems. I use AI to find patterns, automate repetitive work and turn messy data into insights teams can trust. I work with data cleaning, data preparation and tech products. In my courses, I focus on practical, hands-on learning.

Saleem Pothiwala

Data engineering, AI engineering, strategy

28+ years in data. Built Kermit Tech to help Nordic and Middle East enterprises turn data into competitive advantage. He helps teams build and use data and AI solutions, with hands-on experience across finance, research, and nonprofit organizations. An IBM StreamSets Black Belt, Saleem teaches through practical examples and guided exercises. His courses help learners turn technical concepts into skills they can use at work.