Google Kubernetes Engine (GKE) Training Course

This instructor-led live training in Norway (online or onsite) is designed for advanced professionals seeking to deepen their expertise in machine learning models, sharpen their hyperparameter tuning skills, and learn effective model deployment techniques using Google Colab.

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

• Implement advanced machine learning models using popular frameworks like Scikit-learn and TensorFlow.
• Optimize model performance through hyperparameter tuning.
• Deploy machine learning models in real-world applications using Google Colab.
• Collaborate and manage large-scale machine learning projects in Google Colab.

This instructor-led, live training in Norway (online or onsite) is aimed at intermediate-level data scientists and healthcare professionals who wish to leverage AI for advanced healthcare applications using Google Colab.

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

• Implement AI models for healthcare using Google Colab.
• Use AI for predictive modeling in healthcare data.
• Analyze medical images with AI-driven techniques.
• Explore ethical considerations in AI-based healthcare solutions.

This instructor-led, live training Norway (onsite or remote) targets engineers who wish to deploy and manage IoT devices on AWS.

By the end of this training, participants will be able to build an IoT platform that includes the deployment and management of a backend, gateway, and devices on top of AWS.

This instructor-led, live training in Norway (online or onsite) is aimed at developers who wish to install, configure, and manage AWS IoT Greengrass capabilities to create applications for various devices.

By the end of this training, participants will be able to use AWS IoT Greengrass to build, deploy, manage, secure, and monitor applications on intelligent devices.

This instructor-led, live training in Norway (onsite or remote) is designed for developers who want to use AWS Lambda to build and deploy services and applications to the cloud, without needing to manage the execution environment (servers, VMs, containers, availability, scalability, storage, etc.).

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

• Configure AWS Lambda to execute a function.
• Understand FaaS (Functions as a Service) and the advantages of serverless development.
• Build, upload, and execute AWS Lambda functions.
• Integrate Lambda functions with various event sources.
• Package, deploy, monitor, and troubleshoot Lambda-based applications.

This instructor-led live training in Norway (online or onsite) is designed for intermediate-level data scientists and engineers who wish to utilise Google Colab and Apache Spark for big data processing and analytics.

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

• Set up a big data environment using Google Colab and Spark.
• Process and analyze large datasets efficiently with Apache Spark.
• Visualize big data in a collaborative environment.
• Integrate Apache Spark with cloud-based tools.

This instructor-led live training in Norway (online or onsite) is aimed at beginner-level data scientists and IT professionals who wish to learn the basics of data science using Google Colab.

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

• Set up and navigate Google Colab.
• Write and execute basic Python code.
• Import and handle datasets.
• Create visualizations using Python libraries.

Google Colab Pro provides a cloud-based environment designed for scalable Python development. It delivers high-performance GPUs, extended runtimes, and increased memory capacity to handle demanding AI and data science workloads.

This instructor-led live training, available either online or onsite, targets intermediate-level Python users looking to leverage Google Colab Pro for machine learning, data processing, and collaborative research within a powerful notebook interface.

Upon completing this training, participants will be able to:

• Set up and manage cloud-based Python notebooks using Colab Pro.
• Access GPUs and TPUs to accelerate computational tasks.
• Streamline machine learning workflows by utilizing popular libraries such as TensorFlow, PyTorch, and Scikit-learn.
• Integrate with Google Drive and external data sources to facilitate collaborative projects.

Course Format

• Interactive lectures and discussions.
• Extensive exercises and practical application.
• Hands-on implementation within a live laboratory environment.

Course Customization Options

• To request a customized training session for this course, please contact us to make arrangements.

DO180 provides an introduction to containers, Kubernetes fundamentals, and Red Hat OpenShift platform concepts with a focus on practical skills.

This instructor-led, live training (available online or onsite) is designed for beginner to intermediate technical professionals who want to learn container workflows, Kubernetes primitives, and how to deploy and operate applications on OpenShift.

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

• Build and manage container images and registries using best practices for reproducibility and security.
• Deploy and manage Kubernetes objects such as pods, deployments, and services in OpenShift.
• Use OpenShift features including routes, buildconfigs, and the web console to streamline application delivery.
• Implement persistent storage, configuration management, and secrets handling for stateful workloads.
• Apply basic security, RBAC, and monitoring practices to maintain healthy clusters and applications.

Format of the Course

• Interactive lecture and discussion.
• Hands-on labs in a live OpenShift environment every day.
• Scenario-driven exercises and troubleshooting workshops.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

This instructor-led, live training in Norway (online or onsite) is designed for advanced-level professionals aiming to deepen their understanding of DevOps practices and streamline development processes using AWS Cloud9.

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

• Set up and configure AWS Cloud9 to support DevOps workflows.
• Implement continuous integration and continuous delivery (CI/CD) pipelines.
• Automate testing, monitoring, and deployment procedures using AWS Cloud9.
• Integrate AWS services such as Lambda, EC2, and S3 into DevOps workflows.
• Leverage source control systems like GitHub or GitLab within AWS Cloud9.

This instructor-led, live training in Norway (online or onsite) is designed for intermediate-level professionals who wish to learn how to effectively build, deploy, and maintain serverless applications on AWS Cloud9 and AWS Lambda.

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

• Understand the fundamentals of serverless architecture.
• Set up AWS Cloud9 for serverless application development.
• Develop, test, and deploy serverless applications using AWS Lambda.
• Integrate AWS Lambda with other AWS services such as API Gateway and S3.
• Optimize serverless applications for performance and cost efficiency.

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

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

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

Summary:

• Fundamentals of IoT architecture and functionality
• Understanding the concept of “things”, “sensors”, and the internet, alongside the correlation between business processes and IoT
• Key components of IoT software stacks, including hardware, firmware, middleware, cloud infrastructure, and mobile applications
• Core IoT capabilities such as fleet management, data visualization, SaaS-based facility management and data visualization, alerting systems, sensor and device onboarding, and geo-fencing
• Principles of IoT device communication with cloud services via MQTT
• Linking IoT devices to AWS through MQTT and AWS IoT Core
• Integrating AWS IoT Core with AWS Lambda for computation and DynamoDB for data storage
• Connecting Raspberry Pi devices to AWS IoT Core for basic data exchange
• Practical exercises using Raspberry Pi and AWS IoT Core to construct a smart device
• Visualizing sensor data and enabling communication through a web interface

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

Upon completion of this training, participants will be capable of:

• Installing and configuring Minikube on their local workstation.
• Gaining a solid understanding of Kubernetes' core concepts and architecture.
• Deploying and managing containers via kubectl and the Minikube dashboard.
• Implementing persistent storage and networking solutions for Kubernetes.
• Leveraging Minikube for application development, testing, and debugging.

This instructor-led, live training in Norway (online or onsite) is aimed at intermediate-level developers and DevOps engineers who wish to use Minikube as a part of 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.