Kubeflow
Hands-on AI and data analytics workshops — built around your team's real cases.
Ideal for teams that…
Hands-on AI and data analytics workshops — built around your team's real cases.
How to configure and manage Kubeflow on Kubernetes
How to deploy ML models using Kubeflow Serving and monitor their performance
How to perform exploratory data analysis (EDA) and train ML models with Kubeflow Pipelines
How to integrate Kubeflow with other ML tools and cloud platforms, and automate ML processes using CI/CD tools
What you should know before we start
- Basic knowledge of Python programming
- Basic skills in working with Kubernetes
- Basic understanding of machine learning
What we actually do
Day 1: Introduction to Kubeflow and Platform Basics
- · Kubeflow fundamentals Introduction to Kubeflow and its architecture Installing Kubeflow on Kubernetes Data management and exploratory data analysis (EDA) Importing and processing data in Kubeflow Performing EDA with Kubeflow Pipelines
- · Training models in Kubeflow Introduction to training components in Kubeflow Automating model training with Kubeflow Pipelines Training the first model Hands-on exercises: training a model on a real dataset Analysis and evaluation of model results
Day 2: Advanced Techniques and Practical Applications
- · Advanced techniques for training models Using custom scripts for training models Leveraging GPUs and compute clusters to accelerate training
- · Deploying and monitoring models Deploying models with Kubeflow Serving Monitoring and managing deployed models Model deployment and optimization Hands-on exercises: deploying a Kubeflow model Model optimization and hyperparameter tuning
- · Integration with other tools and services (optional) Integrating Kubeflow with other ML tools and cloud platforms Using CI/CD tools to automate ML processes
From brief to retro in 30 days.
Brief & diagnosis
A call with the team lead + a short survey for participants. We define goals, gap and context.
Program customization
We adapt modules, case studies and code examples to your stack. Approval in 5 days.
Workshop
Trainer-led sessions, hands-on, code review. Mentor available between sessions too.
Retro + report
Outcome report for the team and lead. 30 days of consulting included.
Send a brief. We'll reply within 1 day.
After a short brief we'll prepare a program and a quote. No obligations — it's just a starting point.
Thank you!
We'll get back to you within 1 business day.
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