MLOps: CI/CD for Machine Learning Training Course
MLOps is a set of tools and methodologies for combining Machine Learning and DevOps practices. The goal of MLOps is to automate and optimize the deployment and maintenance of ML systems in production.
This instructor-led, live training (online or onsite) is aimed at engineers who wish to evaluate the approaches and tools available today to make an intelligent decision on the path forward in adopting MLOps within their organization.
By the end of this training, participants will be able to:
- Install and configure various MLOps frameworks and tools.
- Assemble the right kind of team with the right skills for constructing and supporting an MLOps system.
- Prepare, validate and version data for use by ML models.
- Understand the components of an ML Pipeline and the tools needed to build one.
- Experiment with different machine learning frameworks and servers for deploying to production.
- Operationalize the entire Machine Learning process so that it's reproduceable and maintainable.
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
Course Outline
Introduction
- Machine Learning models vs traditional software
Overview of the DevOps Workflow
Overview of the Machine Learning Workflow
ML as Code Plus Data
Components of an ML System
Case Study: A Sales Forecasting Application
Accessing Data
Validating Data
Data Transformation
From Data Pipeline to ML Pipeline
Building the Data Model
Training the Model
Validating the Model
Reproducing Model Training
Deploying a Model
Serving a Trained Model to Production
Testing an ML System
Continuous Delivery Orchestration
Monitoring the Model
Data Versioning
Adapting, Scaling and Maintaining an MLOps Platform
Troubleshooting
Summary and Conclusion
Requirements
- An understanding of the software development cycle
- Experience building or working with Machine Learning models
- Familiarity with Python programming
Audience
- ML engineers
- DevOps engineers
- Data engineers
- Infrastructure engineers
- Software developers
Delivery Options
Private Group Training
Our identity is rooted in delivering exactly what our clients need.
- Pre-course call with your trainer
- Customisation of the learning experience to achieve your goals -
- Bespoke outlines
- Practical hands-on exercises containing data / scenarios recognisable to the learners
- Training scheduled on a date of your choice
- Delivered online, onsite/classroom or hybrid by experts sharing real world experience
Private Group Prices RRP from €11400 online delivery, based on a group of 2 delegates, €3600 per additional delegate (excludes any certification / exam costs). We recommend a maximum group size of 12 for most learning events.
Contact us for an exact quote and to hear our latest promotions
Public Training
Please see our public courses
Need help picking the right course?
opleidingen@nobleprog.com or +31 208 080 666
MLOps: CI/CD for Machine Learning Training Course - Enquiry
MLOps: CI/CD for Machine Learning - Consultancy Enquiry
Consultancy Enquiry
Testimonials (3)
There were many practical exercises supervised and assisted by the trainer
Aleksandra - Fundacja PTA
Course - Mastering Make: Advanced Workflow Automation and Optimization
the ML ecosystem not only MLFlow but Optuna, hyperops, docker , docker-compose
Guillaume GAUTIER - OLEA MEDICAL
Course - MLflow
I enjoyed participating in the Kubeflow training, which was held remotely. This training allowed me to consolidate my knowledge for AWS services, K8s, all the devOps tools around Kubeflow which are the necessary bases to properly tackle the subject. I wanted to thank Malawski Marcin for his patience and professionalism for training and advice on best practices. Malawski approaches the subject from different angles, different deployment tools Ansible, EKS kubectl, Terraform. Now I am definitely convinced that I am going into the right field of application.
Guillaume Gautier - OLEA MEDICAL | Improved diagnosis for life TM
Course - Kubeflow
Provisional Upcoming Courses (Contact Us For More Information)
Related Courses
Advanced Zapier: Custom Integrations and Multi-Step Automations
14 HoursThis instructor-led, live training in the Netherlands (online or onsite) is aimed at advanced-level developers, automation specialists, and IT professionals who wish to master custom integrations and multi-step automations in Zapier.
By the end of this training, participants will be able to:
- Create custom Zapier integrations using APIs and webhooks.
- Design and manage complex multi-step workflows.
- Optimize and debug advanced automation workflows.
- Integrate Zapier with proprietary or less common applications.
Building Efficient Workflows with Zapier
14 HoursThis instructor-led, live training in the Netherlands (online or onsite) is aimed at intermediate-level professionals who wish to create and optimize automated workflows using Zapier for business operations.
By the end of this training, participants will be able to:
- Design and implement efficient Zapier workflows.
- Integrate multiple business apps for seamless automation.
- Optimize Zap performance and troubleshoot common issues.
- Scale workflow automation to meet business needs.
Kubeflow
35 HoursThis instructor-led, live training in the Netherlands (online or onsite) is aimed at developers and data scientists who wish to build, deploy, and manage machine learning workflows on Kubernetes.
By the end of this training, participants will be able to:
- Install and configure Kubeflow on premise and in the cloud using AWS EKS (Elastic Kubernetes Service).
- Build, deploy, and manage ML workflows based on Docker containers and Kubernetes.
- Run entire machine learning pipelines on diverse architectures and cloud environments.
- Using Kubeflow to spawn and manage Jupyter notebooks.
- Build ML training, hyperparameter tuning, and serving workloads across multiple platforms.
Kubeflow Fundamentals
28 HoursThis instructor-led, live training in the Netherlands (online or onsite) is aimed at developers and data scientists who wish to build, deploy, and manage machine learning workflows on Kubernetes.
By the end of this training, participants will be able to:
- Install and configure Kubeflow on premise and in the cloud.
- Build, deploy, and manage ML workflows based on Docker containers and Kubernetes.
- Run entire machine learning pipelines on diverse architectures and cloud environments.
- Using Kubeflow to spawn and manage Jupyter notebooks.
- Build ML training, hyperparameter tuning, and serving workloads across multiple platforms.
Kubeflow on AWS
28 HoursThis instructor-led, live training in the Netherlands (online or onsite) is aimed at engineers who wish to deploy Machine Learning workloads to an AWS EC2 server.
By the end of this training, participants will be able to:
- Install and configure Kubernetes, Kubeflow and other needed software on AWS.
- Use EKS (Elastic Kubernetes Service) to simplify the work of initializing a Kubernetes cluster on AWS.
- Create and deploy a Kubernetes pipeline for automating and managing ML models in production.
- Train and deploy TensorFlow ML models across multiple GPUs and machines running in parallel.
- Leverage other AWS managed services to extend an ML application.
Kubeflow on Azure
28 HoursThis instructor-led, live training in the Netherlands (online or onsite) is aimed at engineers who wish to deploy Machine Learning workloads to Azure cloud.
By the end of this training, participants will be able to:
- Install and configure Kubernetes, Kubeflow and other needed software on Azure.
- Use Azure Kubernetes Service (AKS) to simplify the work of initializing a Kubernetes cluster on Azure.
- Create and deploy a Kubernetes pipeline for automating and managing ML models in production.
- Train and deploy TensorFlow ML models across multiple GPUs and machines running in parallel.
- Leverage other AWS managed services to extend an ML application.
Mastering Make: Advanced Workflow Automation and Optimization
14 HoursThis instructor-led, live training in the Netherlands (online or onsite) is aimed at intermediate-level IT professionals and automation engineers who wish to master advanced features of Make, optimize complex workflows, and handle error management effectively.
By the end of this training, participants will be able to:
- Utilize advanced features of Make for workflow automation.
- Optimize workflows using conditional logic, iterators, and error handling.
- Integrate multiple applications for seamless automation.
- Monitor and troubleshoot workflows for maximum efficiency.
- Implement best practices for scaling workflow automation solutions.
Make for eCommerce: Automating Sales and Inventory Management
14 HoursThis instructor-led, live training in the Netherlands (online or onsite) is aimed at intermediate-level eCommerce professionals who wish to streamline their sales and inventory management processes using Make.
By the end of this training, participants will be able to:
- Integrate eCommerce platforms like Shopify, WooCommerce, and Etsy with Make.
- Automate inventory updates and order tracking across multiple platforms.
- Set up automated workflows for customer communication and support.
- Optimize sales and inventory management through advanced automation strategies.
Make Fundamentals: Introduction to Workflow Automation
7 HoursThis instructor-led, live training in the Netherlands (online or onsite) is aimed at beginner-level participants who wish to learn the basics of workflow automation and simplify their daily tasks using Make.
By the end of this training, participants will be able to:
- Create and manage workflows in Make.
- Integrate different applications into workflows.
- Automate simple tasks such as data synchronization, notifications, and file management.
- Understand how to use pre-built templates and create custom workflows.
- Learn how to troubleshoot and debug workflows.
Make for Marketing Automation
14 HoursThis instructor-led, live training in the Netherlands (online or onsite) is aimed at intermediate-level marketing professionals who wish to automate repetitive tasks, nurture leads effectively, and optimize customer engagement through workflow automation.
By the end of this training, participants will be able to:
- Use Make to automate marketing campaigns and lead nurturing workflows.
- Create personalized customer journey maps through integrated platforms.
- Sync data across marketing tools like Mailchimp, HubSpot, and social media platforms.
- Monitor and analyze automated workflows to optimize campaign performance.
- Adopt best practices for scalable marketing automation strategies.
MLflow
21 HoursThis instructor-led, live training in (online or onsite) is aimed at data scientists who wish to go beyond building ML models and optimize the ML model creation, tracking, and deployment process.
By the end of this training, participants will be able to:
- Install and configure MLflow and related ML libraries and frameworks.
- Appreciate the importance of trackability, reproducability and deployability of an ML model
- Deploy ML models to different public clouds, platforms, or on-premise servers.
- Scale the ML deployment process to accommodate multiple users collaborating on a project.
- Set up a central registry to experiment with, reproduce, and deploy ML models.
Zapier and AI for Business Automation
21 HoursThis instructor-led, live training in the Netherlands (online or onsite) is aimed at advanced-level business professionals and automation engineers who wish to leverage Zapier and AI integrations to scale operations efficiently.
By the end of this training, participants will be able to:
- Design and implement complex automation workflows using Zapier.
- Integrate AI models into business processes for predictive insights.
- Optimize operations by automating tasks across multiple platforms.
- Monitor and troubleshoot automated workflows for continuous improvement.
Zapier for Beginners: Automate Workflows Without Coding
7 HoursThis instructor-led, live training in the Netherlands (online or onsite) is aimed at beginner-level professionals who wish to use Zapier to automate repetitive tasks and improve efficiency without coding.
By the end of this training, participants will be able to:
- Understand the basics of Zapier and its automation capabilities.
- Set up and configure Zaps to automate tasks.
- Integrate popular business tools with Zapier.
- Manage and optimize automated workflows.
Zapier for E-Commerce Automation
14 HoursThis instructor-led, live training in the Netherlands (online or onsite) is aimed at intermediate-level e-commerce professionals who wish to automate order processing, payments, and customer support using Zapier.
By the end of this training, participants will be able to:
- Automate order processing and fulfillment.
- Sync payment data with accounting systems.
- Enhance customer support through automation.
- Optimize marketing and sales workflows.
Zapier for Marketing Automation
14 HoursThis instructor-led, live training in the Netherlands (online or onsite) is aimed at intermediate-level marketers who wish to automate lead generation, email campaigns, and customer follow-ups using Zapier.
By the end of this training, participants will be able to:
- Understand Zapier’s role in marketing automation.
- Set up workflows to automate lead generation and nurturing.
- Integrate marketing tools such as CRMs, email platforms, and analytics tools.
- Optimize and troubleshoot automation workflows for maximum efficiency.