Training schedule
Join waiting listIN-COMPANY TRAINING PROGRAMS
Contact Giovanni Lanzani, if you want to know more about custom data & AI training for your teams. He’ll be happy to help you!
Check out more
Docker & Kubernetes
How many times have you heard the word “container” during an IT conversation? Exactly! And that’s because containerised solutions are here to stay. But what are containers? How do we build them and how do we place our solutions in them? And, most importantly: how do we run them? Well, that’s precisely what this training is about. By the end of it, all those questions will be answered and more!
Clients we've helped
What you'll learn
You will learn:
- How to containerise your solution
- How to interact with the container
- How to properly structure the containerised solution
- How to deploy your container(s) to Kubernetes
- How to manage the solution and the cluster
The schedule
- How to work with volumes and containers
- How docker builds layers and how this knowledge improves your Dockerfile
- Interacting with the containers
- How to enjoy the automation that docker-compose gives you
- How to lint Dockerfiles automatically
- Kubernetes core concepts
- Configuration
- Multi-container pods
- Observability
- Pod design
- Services and Networking
- State persistence
- Introduction to Helm
learning journey
Data Engineering Learning Journey
This online course is perfect for
IT engineers/architects and even curious data scientists, who work in a DevOps related area and find themselves involved in a microservice type of architecture or simply wish to learn how to better structure and run their solutions in a cluster. Basic knowledge of *nix is convenient but not essential.
What will you learn during the Docker and Kubernetes training?
After this training, you will understand how Docker containers work and be able to containerise your solutions. Furthermore, you’ll learn how to deploy them in a container-based cluster (Kubernetes) and also be able to manage all aspects of its life cycle.
Tim van Cann
Data MagicianTim is often referred to as machine learning engineer. He has a background in Artificial Intelligence (MSc) and Software Development and as such enjoys building scalable machine learning solutions, feeling comfortable with both data science and data engineering.
His main focus is getting models to production to achieve business value.
Tim is often seen in the gym lifting weights. He also takes the occasional run, bike ride, swim, or crossfit WOD. Ask him anything about food and/or fitness and you’ll likely get a helpful answer.
Structured, to-the-point, good combination of theory and practical examples, very knowledgeable trainer who can explain concepts very well
It was a hands-on and tangible course. We could apply what we learned in a matter of minutes. The trainer did a great job of answering ad-hoc questions that complemented the material. We appreciated the fact that we could apply what we were taught directly to our company.
I liked every aspect of this training and would like to thank the trainers. They did an excellent job of explaining how to use Spark for data science. This is the fourth GoDataDriven training I’ve followed. All were great, but this was the best one so far.
Climbing a steep Python and Machine Learning curve in three days. This would have taken me months on my own.