MLOps on Kubernetes: CI/CD Pipelines for Machine Learning Training Course

This instructor-led live training in South Korea (online or onsite) is designed for advanced-level AI engineers and data scientists with intermediate to advanced experience who aim to enhance DeepSeek model performance, minimize latency, and deploy AI solutions efficiently using modern MLOps practices.

By the end of this training, participants will be able to:

• Optimize DeepSeek models for efficiency, accuracy, and scalability.
• Implement best practices for MLOps and model versioning.
• Deploy DeepSeek models on cloud and on-premise infrastructure.
• Monitor, maintain, and scale AI solutions effectively.

This instructor-led, live training in South Korea (available online or onsite) is tailored for advanced-level platform engineers and DevOps professionals who wish to master application scaling using microservices and Kubernetes.

By the end of this training, participants will be able to:

• Design and implement scalable microservices architectures.
• Deploy and manage applications on Kubernetes clusters.
• Utilize Helm charts for efficient service deployment.
• Monitor and maintain the health of microservices in production.
• Apply best practices for security and compliance in a Kubernetes environment.

This live, instructor-led training in South Korea, offered online or onsite, is designed for Kubernetes practitioners aiming to prepare for the CKS exam.

By the end of the course, participants will understand how to secure Kubernetes environments and container-based applications throughout the application life cycle, covering build, deployment, and runtime stages.

This intensive 7-day program offers a thorough, practical exploration into the design, deployment, and operation of cloud-native applications through contemporary DevOps methodologies.

Learners will discover how to architect scalable microservices infrastructures, refine container environments, and handle production workloads effectively with Kubernetes. The curriculum encompasses sophisticated deployment techniques, GitOps-driven automation, and observability frameworks aimed at guaranteeing system resilience and optimal performance.

A significant emphasis is placed on addressing real-world operational hurdles, such as incident management, failure simulation exercises, and root cause analysis. The program wraps up by demonstrating how AI-enabled tools can enhance troubleshooting capabilities and expedite operational decisions.

Upon completion, participants will possess a solid grasp of constructing, deploying, monitoring, and sustaining robust distributed systems within a Kubernetes ecosystem.

This instructor-led, live training in South Korea (online or onsite) is designed for engineers looking to use Helm to simplify the installation and management of Kubernetes applications.

Upon completing this training, participants will be able to:

• Install and configure Helm.
• Generate reproducible builds for Kubernetes applications.
• Distribute applications as Helm charts.
• Execute third-party applications packaged as Helm charts.
• Manage releases of Helm packages.

This live, instructor-led training in South Korea, offered either online or on-site, is designed for developers and data scientists seeking to build, deploy, and manage machine learning workflows on Kubernetes.

By the end of this program, participants will be equipped to:

• Install and configure Kubeflow in on-premise and cloud environments.
• Build, deploy, and manage ML workflows based on Docker containers and Kubernetes.
• Run complete machine learning pipelines across diverse architectures and cloud setups.
• Use Kubeflow to spawn and manage Jupyter notebooks.
• Build ML training, hyperparameter tuning, and serving workloads across multiple platforms.

This instructor-led, live training in South Korea (online or onsite) is designed for software developers and DevOps professionals at beginner to intermediate levels who wish to learn how to set up and manage a local Kubernetes environment using Minikube.

Upon completion of this training, participants will be able to:

• Install and configure Minikube on their local machines.
• Grasp the fundamental concepts and architecture of Kubernetes.
• Deploy and manage containers using kubectl and the Minikube dashboard.
• Configure persistent storage and networking solutions for Kubernetes.
• Use Minikube to develop, test, and debug applications.

This instructor-led, live training in South Korea (online or onsite) is designed for intermediate-level developers and DevOps engineers who want to incorporate Minikube into their development workflow.

By the end of this training, participants will be able to:

• Set up and manage a local Kubernetes environment using Minikube.
• Understand how to deploy, manage, and debug applications on Minikube.
• Integrate Minikube into their continuous integration and deployment pipelines.
• Optimize their development process using Minikube's advanced features.
• Apply best practices for local Kubernetes development.

This instructor-led, live training in South Korea (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.