Course Overview
Modern machine learning systems require scalable orchestration, automation, and reproducibility. Kubeflow provides a powerful platform for managing end-to-end ML workflows on Kubernetes, enabling teams to build, deploy, and scale models efficiently.
This mentor-led programme introduces the core components of Kubeflow, including pipelines, experiment tracking, and model serving. Participants learn how to design ML workflows, automate training pipelines, and manage model deployments using cloud-native infrastructure.
Through practical scenarios, learners implement Kubeflow pipelines that integrate data processing, model training, and deployment steps. By the end of the course, participants will understand how to use Kubeflow to operationalise machine learning systems in production environments.
Hands-On Learning
Build and run a Kubeflow pipeline for training and deploying a machine learning model.
Mentor-Led Sessions
Mentor-led sessions exploring real-world Kubeflow workflows and production scenarios.
Career-Ready Skills
Design and manage scalable ML pipelines using Kubeflow.
Learning Outcomes
Design Kubeflow-based ML pipelines
Analyse workflow orchestration strategies
Implement scalable ML training pipelines
Evaluate pipeline performance and reliability
Communicate ML platform architecture decisions
Lead deployment of ML workflows in production
Prerequisites
Basic understanding of machine learning concepts
Familiarity with Python programming
Basic knowledge of containers or Kubernetes
Detailed Syllabus
Step-by-step learning journey from basics to professional practice
Topics Covered
- ML platform ecosystem overview
- Course tools and environment setup
- Introduction to Kubernetes basics
- Responsible AI and ML practices
Skills You'll Gain
Master these in-demand skills through hands-on practice
Career Progression
A clear view of the roles this programme supports, what typically comes next, and where learners progress over time
Ways to Learn
Choose the learning format that works best for you and your team
Live Online
Instructor-Led Training
Join live instructor-led sessions from anywhere. Interactive, engaging, and flexible.
- Live instructor interaction (real-time)
- Trainer-led walkthroughs and real examples
- Guided resources and session notes provided
- Structured Q&A and practical discussion
Price per person
Group enrolments and early planning options available.
All prices are exclusive of VAT where applicable. Group enrolments and custom packages available on request.
Prefer a Faster, Personalised Route into IT?
Not everyone learns best in a group. If you want focused guidance, faster clarity, and confidence you can use on the job, our 1-to-1 Fast-Track Training gives you private, mentor-led support tailored to your experience and goals.
"Many learners choose 1-to-1 when they want understanding, not memorisation."
Exam & Certification Information
Everything you need to know about the certification exams
Credential
Certificate of Completion
On successful completion of Kubeflow Foundations, learners receive an Xcademia Certificate of Completion. This standalone certificate is issued directly by Xcademia and is aligned with globally recognised frameworks and best practices.
Frequently Asked Questions
Everything you need to know about this course
Kubeflow is used to build, orchestrate, and manage machine learning workflows on Kubernetes.
Ready to Start Your Learning Journey?
Take the next step in your professional development