MLOps Developer

A practical introduction and comprehensive insight into MLOps.

This two-day training offers a practical introduction to MLOps, which optimizes the machine learning lifecycle through automation and standardization. Versioning of code and data as well as monitoring model parameters ensure consistent, reproducible results. Continuous Integration and Continuous Deployment (CI/CD) accelerate the market introduction of new ML products.

Our training team consists of professionals who are both active in machine learning research and have extensive experience in the practical implementation of data models in companies.

Outcomes

Understand the basics of machine learning and data preparation
Know the differences between MLOps and DevOps
Create ML pipelines, train and optimize models
Use DVC for data versioning and CML for ML pipelines
Get to know other tools like MLFlow and Kubeflow in the MLOps ecosystem

Prerequisites

Participants need a laptop with direct internet access

Target audience

Our training is aimed at software developers who provide services based on data and data models and already have prior knowledge in software development and architecture.
Prior knowledge of software delivery principles like CI/CD and GIT is advantageous.

Conditions

CHF 1900 / participant for two days.
Group sessions consisting of 8 to 24 participants.
Includes catering and documentation.
Discounts available for groups of 12 participants or more.

Content

Our trainings consist of diverse presentations and hands-on labs to deliver the content in an engaging way. We are happy to refer to your infrastructure in consultation. If additional content is needed, we can make adjustments upon your request.

Introduction to Machine Learning (classifiers/regressors, overfitting and underfitting)
ML models: from linear regression to neural networks
Data collection and preparation using various techniques
Train a model using the prepared data
Use of Codespaces/GitHub Actions in the Free Tier
Problem statement: making the process reproducible and measurable
From prototype to pipeline
Pipeline/testing and data versioning
Metrics and experiments

Companies

Individual company trainings are possible. Contact us for costs and dates.

Meet two of your trainers

Sigve Haug

Trainer

Sigve is the director of studies at the Mathematical Institute (MAI) of the University of Bern.

Iwan Imsand

Trainer

Iwan likes the quote from Don Draper: Make it simple, but significant.

Here’s what our clients say about our trainings:
Matthias Summer, Austria

«I really enjoyed the training, and I learned several things that helped me with my daily tasks. You could tell that the trainers had a lot of practical experience with and passion for the technology. They also supported us well and gave us useful advice.»