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Kubeflow

This course teaches developers, engineers, and data scientists how to deploy, manage, and scale machine learning workflows using Kubeflow on Kubernetes, solving the complexity of MLOps orchestration. With 70% of enterprises adopting AI/ML tools by 2025 (Gartner), professionals gain skills in model training, pipelines, Katib, and data management to streamline reproducible, production-grade deployments across hybrid environments.

Prepares for the Linux Foundation’s LFS147: Introduction to AI/ML Toolkits with Kubeflow certification with a 70% passing score requirement. Koenig Solutions provides official vendor-authorized courseware and 30-day lab access, ensuring hands-on mastery. Earners contribute confidently to real-world ML projects and advance into high-demand MLOps and cloud AI roles.

40 Hours (5 Days)
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1+ professionals trained

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Course Overview

The Kubeflow course by Open Source, developed in collaboration with the Linux Foundation and CNCF, provides comprehensive training on deploying and managing machine learning workflows on Kubernetes using the Kubeflow platform. This course prepares learners for the LFS147 certification and is designed for data scientists, ML engineers, and DevOps professionals seeking to operationalize AI/ML pipelines. With over 200 organizations including Google, IBM, and Red Hat adopting Kubeflow in production environments, demand for skilled practitioners has surged across cloud-native enterprises. The curriculum targets roles such as Machine Learning Engineer, MLOps Specialist, and AI Platform Developer, equipping them with tools to build scalable, reproducible ML systems aligned with industry best practices.

Participants engage with core Kubeflow components including the Central Dashboard, Kubeflow Pipelines (KFP), Katib for hyperparameter tuning, Training Operator, and Notebook Servers, all running within a Kubernetes environment. Using the Kubeflow Python SDK, students configure distributed training jobs with frameworks like PyTorch, JAX, DeepSpeed, HuggingFace, and XGBoost through hands-on labs that simulate real-world scenarios. In one key lab, learners deploy a multi-node GPU-accelerated LLM fine-tuning job using QLoRA on a HuggingFace model, leveraging the TrainerClient API to submit TrainJobs that automatically handle DDP or FSDP setup, resource scheduling, and zero-copy data streaming via Apache Arrow—all without modifying their training code between local development and cluster deployment.

This training directly supports preparation for the Introduction to AI/ML Toolkits with Kubeflow (LFS147) credential from the Linux Foundation, a recognized certification in the cloud-native AI ecosystem. Certified professionals report average salary increases of 20-30%, with MLOps Engineers earning median salaries exceeding $145,000 in North America according to 2024 labor data. Koenig Solutions enhances this learning path with Guaranteed-to-Run batches, official courseware, and 1-on-1 instructor support, ensuring mastery of Kubeflow’s conformance standards and distribution-agnostic deployment patterns. Graduates are positioned to lead AI infrastructure initiatives, contributing to production-grade ML platforms that drive innovation in enterprise AI adoption.

What You'll Learn

Deploy distributed training jobs efficiently with the Kubeflow Trainer, a key component of the open-source Kubeflow platform, enabling scalable machine learning workflows.
Implement hyperparameter tuning using Katib on Kubeflow, the open-source project that automates model optimization, helping data scientists improve model accuracy faster.
Orchestrate end-to-end machine learning workflows with the Kubeflow Pipelines SDK, which streamlines pipeline creation and management for scalable AI projects.
Serve machine learning models seamlessly with KServe on Kubeflow, the open-source solution that simplifies deployment and scaling of models in production environments.
Manage multiple model versions effectively within the Kubeflow Model Registry, ensuring reliable model deployment and version control for enterprise AI solutions.
Integrate Katib experiments with Kubeflow Pipelines to automate hyperparameter tuning, accelerating model development cycles and boosting productivity.

Prerequisites

Recommended knowledge before taking this course
  • Basic understanding of containerization technologies, particularly Docker.
  • Familiarity with Kubernetes concepts such as Pods, Deployments, Services, and basic cluster management operations.
  • Experience with using command-line interfaces (CLI) in a Linux environment.
  • Fundamental knowledge of cloud computing and the services offered by cloud providers, especially if you're interested in deploying Kubeflow on cloud platforms like AWS.
  • Basic understanding of Machine Learning concepts and workflows would be beneficial, though not mandatory.
  • Some programming experience, preferably in Python, to follow along with Kubeflow Pipelines and other code examples presented in the course.
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Certification Exam

Everything you need to know about the Kubeflow certification exam

Exam Details
Exam Name
Kubeflow
Format
Multiple choice, labs & case studies
Questions
Duration
Passing Score
Validity
Retake Policy
N/A
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Course Curriculum

Structured learning with hands-on labs and real-world scenarios

1
Day 1– Mastering Kubeflow and Kubernetes Fundamentals
Core Kubernetes orchestration concepts Kubeflow architecture and design patterns Essential Kubeflow component interactions Automated Kubeflow installation on Kubernetes Navigating the Kubeflow user dashboard Deploying Kubeflow on AWS EKS On-premise Kubeflow setup using Microk8s GitOps workflows for cluster deployment
2
Day 2– Scalable ML Pipelines and Data Management
Kubeflow Pipelines (KFP) framework overview Building robust pipelines via KFP SDK Developing modular, reusable pipeline components Jupyter notebook integration in Kubeflow Streamlined data ingestion and versioning Optimized data storage in Kubeflow Defining pipeline input and output artifacts Managing metadata for datasets and models
3
Day 3– Advanced Model Training and Distributed Workloads
Kubeflow Trainer for scalable training Executing distributed training with Kubeflow Configuring multi-GPU training environments Efficient model fine-tuning with Kubeflow TensorFlow integration within Kubeflow Automated training job monitoring systems Pipeline integration for training workflows Visualizing model training metrics and results
4
Day 4– Automated Hyperparameter Tuning via Katib
Hyperparameter tuning optimization strategies Leveraging Katib for automated tuning Configuring complex Katib experiments Advanced hyperparameter search algorithms Integrating Katib into ML pipelines Analyzing Katib optimization performance data Tuning TensorFlow models using Katib Scaling tuning jobs across Kubernetes
5
Day 5– Production Model Serving and MLOps Excellence
KServe architecture for model serving Deploying production models using KServe Serving LLMs with Hugging Face runtimes Canary deployments and inference graphs Autoscaling inference server capacity CI/CD pipelines for Kubeflow models End-to-end model lifecycle management Troubleshooting production Kubeflow deployments

What's Included in Your Training

Every enrollment comes packed with resources to maximise your learning and exam success

Career Outcomes

85%

of Kubeflow certified professionals report career advancement within 6 months

Salary Impact

+28%

Average salary increase reported after obtaining the Kubeflow certification

Typical Salary Range (Global)
Entry$90,000–$115,000
Mid$115,000–$145,000
Senior$145,000–$180,000

*Source: Glassdoor / LinkedIn 2025

Job Roles

6
  • MLOps Engineer
  • Machine Learning Engineer
  • ML Engineer
  • Data Scientist
  • Solutions Architect
  • DevOps Engineer

Companies Hiring

5,000+
Google Amazon Microsoft Accenture Deloitte Infosys Wipro TCS Goldman Sachs JPMorgan Chase

and 5,000+ organizations worldwide seeking Kubeflow certified professionals

Real Transformations

Course Student Reviews

Real results from IT professionals who trained with Koenig — rated 4.9/5 from 18,400+ verified reviews.

18,400+
Verified Reviews
4.9 / 5
Average Rating
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  • ★★★★★

    “Passed AZ-104 on first attempt. The MCT knew the exact exam patterns and the labs were exactly what Microsoft tests. Worth every penny.”

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    Rahul M.

    Azure Administrator

    AZ-104 Certified ✓ Verified
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    “I trained 15 of my team members for SC-200. Koenig's on-site delivery was seamless and all 15 passed within 3 months.”

    Sarah K.

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    CISO, Financial Services

    Enterprise Client ✓ Verified
  • ★★★★★

    “The 1-on-1 format was a game changer. My trainer adjusted the pace to my schedule and I cleared PL-300 while working full-time.”

    Ahmed R.

    Ahmed R.

    Business Intelligence Lead

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  • ★★★★★

    “From AZ-900 to AZ-305 in 6 months. Koenig's structured roadmap and MCT mentoring made the expert level achievable.”

    Priya S.

    Priya S.

    Cloud Solutions Architect

    AZ-305 Expert ✓ Verified
  • ★★★★★

    “As an L&D head I've used 5 training vendors. Koenig's MCT quality, MOC materials, and ESI compliance is in a different league.”

    James T.

    James T.

    Head of L&D, UK Enterprise

    100+ Learners Trained ✓ Verified
  • ★★★★★

    “SC-900 and SC-300 back to back — both cleared first try. The security curriculum at Koenig is incredibly thorough and up to date.”

    Aisha N.

    Aisha N.

    Security Analyst

    SC-300 Certified ✓ Verified
  • ★★★★★

    “AI-102 was daunting but the trainer broke it down perfectly. Real Azure OpenAI labs made the difference. Highly recommend.”

    David L.

    David L.

    AI Engineer

    AI-102 Certified ✓ Verified
  • ★★★★★

    “DP-600 Fabric certification done in 3 weeks of part-time study. The customised schedule around my timezone was a lifesaver.”

    Mei W.

    Mei W.

    Data Platform Engineer

    DP-600 Certified ✓ Verified
  • ★★★★★

    “Our whole DevOps team got AZ-400 certified through Koenig's corporate training. Smooth logistics and top-tier MCTs throughout.”

    Carlos R.

    Carlos R.

    Engineering Manager

    AZ-400 Team Training ✓ Verified
  • ★★★★★

    “Passed AZ-104 on first attempt. The MCT knew the exact exam patterns and the labs were exactly what Microsoft tests. Worth every penny.”

    Rahul M.

    Rahul M.

    Azure Administrator

    AZ-104 Certified ✓ Verified
  • ★★★★★

    “I trained 15 of my team members for SC-200. Koenig's on-site delivery was seamless and all 15 passed within 3 months.”

    Sarah K.

    Sarah K.

    CISO, Financial Services

    Enterprise Client ✓ Verified
  • ★★★★★

    “The 1-on-1 format was a game changer. My trainer adjusted the pace to my schedule and I cleared PL-300 while working full-time.”

    Ahmed R.

    Ahmed R.

    Business Intelligence Lead

    PL-300 Certified ✓ Verified
  • ★★★★★

    “From AZ-900 to AZ-305 in 6 months. Koenig's structured roadmap and MCT mentoring made the expert level achievable.”

    Priya S.

    Priya S.

    Cloud Solutions Architect

    AZ-305 Expert ✓ Verified
  • ★★★★★

    “As an L&D head I've used 5 training vendors. Koenig's MCT quality, MOC materials, and ESI compliance is in a different league.”

    James T.

    James T.

    Head of L&D, UK Enterprise

    100+ Learners Trained ✓ Verified
  • ★★★★★

    “SC-900 and SC-300 back to back — both cleared first try. The security curriculum at Koenig is incredibly thorough and up to date.”

    Aisha N.

    Aisha N.

    Security Analyst

    SC-300 Certified ✓ Verified
  • ★★★★★

    “AI-102 was daunting but the trainer broke it down perfectly. Real Azure OpenAI labs made the difference. Highly recommend.”

    David L.

    David L.

    AI Engineer

    AI-102 Certified ✓ Verified
  • ★★★★★

    “DP-600 Fabric certification done in 3 weeks of part-time study. The customised schedule around my timezone was a lifesaver.”

    Mei W.

    Mei W.

    Data Platform Engineer

    DP-600 Certified ✓ Verified
  • ★★★★★

    “Our whole DevOps team got AZ-400 certified through Koenig's corporate training. Smooth logistics and top-tier MCTs throughout.”

    Carlos R.

    Carlos R.

    Engineering Manager

    AZ-400 Team Training ✓ Verified
  • ★★★★★

    “Passed AZ-104 on first attempt. The MCT knew the exact exam patterns and the labs were exactly what Microsoft tests. Worth every penny.”

    Rahul M.

    Rahul M.

    Azure Administrator

    AZ-104 Certified ✓ Verified
  • ★★★★★

    “I trained 15 of my team members for SC-200. Koenig's on-site delivery was seamless and all 15 passed within 3 months.”

    Sarah K.

    Sarah K.

    CISO, Financial Services

    Enterprise Client ✓ Verified
  • ★★★★★

    “The 1-on-1 format was a game changer. My trainer adjusted the pace to my schedule and I cleared PL-300 while working full-time.”

    Ahmed R.

    Ahmed R.

    Business Intelligence Lead

    PL-300 Certified ✓ Verified
  • ★★★★★

    “Passed AZ-104 on first attempt. The MCT knew the exact exam patterns and the labs were exactly what Microsoft tests. Worth every penny.”

    Rahul M.

    Rahul M.

    Azure Administrator

    AZ-104 Certified ✓ Verified
  • ★★★★★

    “I trained 15 of my team members for SC-200. Koenig's on-site delivery was seamless and all 15 passed within 3 months.”

    Sarah K.

    Sarah K.

    CISO, Financial Services

    Enterprise Client ✓ Verified
  • ★★★★★

    “The 1-on-1 format was a game changer. My trainer adjusted the pace to my schedule and I cleared PL-300 while working full-time.”

    Ahmed R.

    Ahmed R.

    Business Intelligence Lead

    PL-300 Certified ✓ Verified
  • ★★★★★

    “From AZ-900 to AZ-305 in 6 months. Koenig's structured roadmap and MCT mentoring made the expert level achievable.”

    Priya S.

    Priya S.

    Cloud Solutions Architect

    AZ-305 Expert ✓ Verified
  • ★★★★★

    “As an L&D head I've used 5 training vendors. Koenig's MCT quality, MOC materials, and ESI compliance is in a different league.”

    James T.

    James T.

    Head of L&D, UK Enterprise

    100+ Learners Trained ✓ Verified
  • ★★★★★

    “SC-900 and SC-300 back to back — both cleared first try. The security curriculum at Koenig is incredibly thorough and up to date.”

    Aisha N.

    Aisha N.

    Security Analyst

    SC-300 Certified ✓ Verified
  • ★★★★★

    “From AZ-900 to AZ-305 in 6 months. Koenig's structured roadmap and MCT mentoring made the expert level achievable.”

    Priya S.

    Priya S.

    Cloud Solutions Architect

    AZ-305 Expert ✓ Verified
  • ★★★★★

    “As an L&D head I've used 5 training vendors. Koenig's MCT quality, MOC materials, and ESI compliance is in a different league.”

    James T.

    James T.

    Head of L&D, UK Enterprise

    100+ Learners Trained ✓ Verified
  • ★★★★★

    “SC-900 and SC-300 back to back — both cleared first try. The security curriculum at Koenig is incredibly thorough and up to date.”

    Aisha N.

    Aisha N.

    Security Analyst

    SC-300 Certified ✓ Verified
  • ★★★★★

    “AI-102 was daunting but the trainer broke it down perfectly. Real Azure OpenAI labs made the difference. Highly recommend.”

    David L.

    David L.

    AI Engineer

    AI-102 Certified ✓ Verified
  • ★★★★★

    “DP-600 Fabric certification done in 3 weeks of part-time study. The customised schedule around my timezone was a lifesaver.”

    Mei W.

    Mei W.

    Data Platform Engineer

    DP-600 Certified ✓ Verified
  • ★★★★★

    “Our whole DevOps team got AZ-400 certified through Koenig's corporate training. Smooth logistics and top-tier MCTs throughout.”

    Carlos R.

    Carlos R.

    Engineering Manager

    AZ-400 Team Training ✓ Verified
  • ★★★★★

    “AI-102 was daunting but the trainer broke it down perfectly. Real Azure OpenAI labs made the difference. Highly recommend.”

    David L.

    David L.

    AI Engineer

    AI-102 Certified ✓ Verified
  • ★★★★★

    “DP-600 Fabric certification done in 3 weeks of part-time study. The customised schedule around my timezone was a lifesaver.”

    Mei W.

    Mei W.

    Data Platform Engineer

    DP-600 Certified ✓ Verified
  • ★★★★★

    “Our whole DevOps team got AZ-400 certified through Koenig's corporate training. Smooth logistics and top-tier MCTs throughout.”

    Carlos R.

    Carlos R.

    Engineering Manager

    AZ-400 Team Training ✓ Verified
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