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

This instructor-led, live training (online or onsite) targets advanced AI engineers and data scientists with intermediate to advanced skills who aim to improve DeepSeek model performance, minimize latency, and efficiently deploy AI solutions using modern MLOps practices.

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

• Optimize DeepSeek models for better efficiency, accuracy, and scalability.
• Adopt 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 Vietnam (online or onsite) is designed for advanced-level platform engineers and DevOps professionals who want 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 instructor-led, live training in Vietnam (online or onsite) is designed for Kubernetes practitioners seeking to prepare for the CKS exam.

By the end of this training, participants will understand how to secure Kubernetes environments and container-based applications throughout the various stages of an application's lifecycle: build, deployment, and runtime.

This intensive 7-day program offers a comprehensive, hands-on exploration into the design, deployment, and operation of cloud-native applications through modern DevOps methodologies.

Participants will learn to architect scalable microservices systems, optimize containerized environments, and manage production workloads with Kubernetes. The curriculum addresses advanced deployment techniques, GitOps-driven automation, and observability standards to guarantee system reliability and high performance.

A significant emphasis is placed on navigating real-world operational hurdles, such as incident response, failure simulation exercises, and root cause analysis. The program finishes by introducing AI-powered tools designed to aid in troubleshooting and speed up operational decision-making processes.

Upon completion of the training, participants will possess a solid grasp of building, deploying, monitoring, and maintaining resilient distributed systems within a Kubernetes ecosystem.

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

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

• Install and configure Helm.
• Build reproducible Kubernetes application deployments.
• Distribute applications as Helm charts.
• Deploy third-party applications packaged as Helm charts.
• Manage releases of Helm packages.

This instructor-led live training in Vietnam (online or onsite) is designed for developers and data scientists aiming to build, deploy, and manage machine learning workflows on Kubernetes.

By the end of this training, participants will be capable of:

• Installing and configuring Kubeflow in on-premise and cloud settings.
• Building, deploying, and managing ML workflows using Docker containers and Kubernetes.
• Running full machine learning pipelines on various architectures and cloud environments.
• Using Kubeflow to generate and manage Jupyter notebooks.
• Creating ML training, hyperparameter tuning, and serving workloads across multiple platforms.

This instructor-led, live training in Vietnam (online or onsite) targets beginner to intermediate software developers and DevOps professionals who want to learn how to set up and manage a local Kubernetes environment using Minikube.

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

• Install and configure Minikube on their local machine.
• Understand the fundamental concepts and architecture of Kubernetes.
• Deploy and manage containers using kubectl and the Minikube dashboard.
• Set up persistent storage and networking solutions for Kubernetes.
• Utilize Minikube for developing, testing, and debugging applications.

This instructor-led live training in Vietnam (online or onsite) is designed for intermediate developers and DevOps engineers looking to adopt Minikube within 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 Vietnam (online or onsite) is designed for engineers seeking to evaluate current approaches and tools, enabling them to make intelligent decisions about adopting MLOps within their organizations.

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

• Install and configure various MLOps frameworks and tools.
• Assemble a team with the appropriate 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.