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

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

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

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

This instructor-led, live training in South Africa (online or onsite) is aimed at advanced-level platform engineers and DevOps professionals who wish to master scaling applications 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 Africa (available online or onsite) is tailored for Kubernetes professionals seeking to prepare for the CKS certification.

Upon completion of this course, participants will understand how to secure Kubernetes environments and container-based applications across all stages of an application's lifecycle: build, deployment, and runtime.

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

Attendees will examine techniques for constructing scalable microservices architectures, optimising container environments, and managing production workloads via Kubernetes. The curriculum encompasses advanced deployment tactics, GitOps-driven automation, and observability frameworks designed to guarantee system reliability and performance.

Significant emphasis is placed on real-world operational hurdles, such as incident response, failure simulation, and root cause analysis. The programme culminates with the integration of AI-powered tools to facilitate troubleshooting and expedite operational decision-making.

Upon completion of this training, participants will possess a robust understanding of how to construct, deploy, monitor, and sustain resilient distributed systems within a Kubernetes-based ecosystem.

This instructor-led, live training in South Africa (online or onsite) is designed for engineers seeking to utilise Helm to streamline the installation and management of Kubernetes applications.

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

• Install and configure Helm.
• Create reproducible builds of Kubernetes applications.
• Share applications as Helm charts.
• Run third-party applications saved as Helm charts.
• Manage releases of Helm packages.

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

By the conclusion of this training, participants will be equipped to:

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

This instructor-led, live training in South Africa (online or onsite) is designed for 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 basic concepts and architecture of Kubernetes.
• Deploy and manage containers using kubectl and the Minikube dashboard.
• Set up persistent storage and networking solutions for Kubernetes.
• Utilise Minikube for developing, testing, and debugging applications.

This instructor-led, live training in South Africa (online or onsite) is designed for intermediate developers and DevOps engineers who wish to integrate Minikube into their development workflows.

By the conclusion 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 Africa (online or at your premises) 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.