Kubeflow on Google Cloud Platform
Advanced Kubeflow training in the Google Cloud Platform environment, focusing on creating, implementing and managing machine learning pipelines at production scale. The program combines theory with intensive hands-on workshops where participants learn to design, implement and optimize ML/AI solutions using modern MLOps tools and practices. Special emphasis is placed on process automation, solution scalability and model performance monitoring.
Issues
-
Kubeflow Architecture
-
Google Cloud Platform
-
Machine learning pipelines
-
MLOps
-
Continuous Training
-
Monitoring of models
-
container orchestration
-
Scaling up solutions
-
Cost optimization
-
Model versioning
-
Process automation
-
Resource management
-
Value flow architecture
-
Portfolio management
-
Kanban scaling
-
Organizational transformation
-
System dynamics
-
End-to-end optimization
-
Leadership in Kanban
-
Organizational culture
-
Maturity models
-
Organizational efficiency
-
Process innovations
Benefits
- The participant will develop advanced skills in designing and implementing ML/AI solutions in a production environment
- Automating machine learning processes using Kubeflow
- Will learn to effectively manage the lifecycle of ML models in a cloud infrastructure
- Will master techniques to optimize the cost and performance of ML pipelines
- Will be able to implement MLOps best practices in AI projects
- Will develop the ability to design scalable machine learning solutions.The participant will develop strategic skills to manage organizational transformation towards a flow culture
- Will gain advanced knowledge of designing and optimizing complex Kanban systems
- Will learn to effectively manage a portfolio of initiatives and projects using flow principles
- Will develop the leadership skills necessary to lead organizational transformation
- Will be able to design and implement organizational maturity development programs
- Will master mentoring and coaching techniques in the context of Kanban culture development
Who is this training for?
Prerequisites
- Experience in machine learning
- Familiarity with Google Cloud Platform
- Kubernetes basics
- Python programming skills
- Advanced knowledge of Kanban practices
- Experience in organizational transformation
- Practice in managing complex processes
- Understanding system dynamics
Training program
Platform components and architecture
- Integration with Google Cloud
- Orchestration of containers
- Resource management
- Machine learning pipelines
ML pipeline design
- Data processing
Training models
- Evaluation and validation
- MLOps and automation
- Continuous learning
Monitoring models
- Version management
- Stream optimization
- Deployment and scaling
- Strategies for implementing models
Horizontal scaling
- Cost management
- Performance monitoring
Delivery Methods
Online
- Convenience of participating from anywhere
- Interactive live sessions with trainer
- Materials available for 30 days
- No travel costs
On-site
- Direct contact with trainer and group
- Intensive hands-on workshops
- Networking with other participants
- Full focus on learning
Frequently asked questions
Who is the Kubeflow on Google Cloud Platform training for?
The target audience includes machine learning engineers, MLOps specialists, and Data Scientists. Level: advanced.
How long is the Kubeflow on Google Cloud Platform training?
The training lasts 4 days. It is delivered online or on-site.
Will I receive a certificate?
Yes — every participant receives a completion certificate confirming acquired competencies. EITT is ISO 9001 certified.
Can this training be conducted for a closed group?
Yes — we offer dedicated closed trainings for companies. We customize the program to your team's needs. Contact us for an individual quote.
Request a quote
Funding Options
Check funding options for your company
Development Services Database
An instrument for micro, small and medium-sized companies — check whether it applies to your organisation
Check availabilityNational Training Fund
An instrument for employers — we help you check whether it can be applied
Learn moreTrusted by
We train teams at Poland's largest companies
Interested in this training?
Contact us - we'll prepare an offer tailored to your organization's needs.