Google Kubernetes Engine (GKE) Training Course

This instructor-led, live training in Taiwan (available online or onsite) is designed for advanced professionals seeking to deepen their understanding of machine learning models, refine their hyperparameter tuning skills, and master effective model deployment via Google Colab.

Upon completing this training, participants will be able to:

• Implement advanced machine learning models using widely adopted frameworks such as Scikit-learn and TensorFlow.
• Enhance model performance through rigorous hyperparameter tuning.
• Deploy machine learning models in real-world applications leveraging Google Colab.
• Collaborate on and manage large-scale machine learning projects within Google Colab.

This instructor-led live training in Taiwan (available online or onsite) is designed for intermediate-level data scientists and healthcare professionals seeking 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.
• Apply 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 in Taiwan (onsite or remote) is aimed at 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 Taiwan (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 Taiwan (onsite or remote) is aimed at developers who wish to use AWS Lambda to build and deploy services and applications to the cloud, without needing to worry about provisioning the execution environment (servers, VMs and 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 different event sources.
• Package, deploy, monitor and troubleshoot Lambda based applications.

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

By the conclusion 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 Taiwan (online or onsite) targets 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, offering high-performance GPUs, extended runtimes, and increased memory to handle demanding AI and data science workloads.

This instructor-led live training (available online or onsite) targets intermediate-level Python users who wish 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.
• Numerous exercises and practice sessions.
• Hands-on implementation within a live-lab environment.

Course Customization Options

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

DO180 serves as an introduction to containers, Kubernetes fundamentals, and Red Hat OpenShift platform concepts, with a strong emphasis on developing hands-on skills.

This instructor-led, live training, available online or on-site, is designed for beginner to intermediate technical professionals seeking to understand container workflows, Kubernetes primitives, and the methods for deploying and operating applications on OpenShift.

Upon completing this training, participants will be capable of:

• Building and managing container images and registries, adhering to best practices for reproducibility and security.
• Deploying and managing Kubernetes objects, such as pods, deployments, and services, within OpenShift.
• Leveraging OpenShift features, including routes, build configurations, and the web console, to streamline application delivery.
• Implementing persistent storage, configuration management, and secrets handling for stateful workloads.
• Applying basic security, RBAC, and monitoring practices to maintain healthy clusters and applications.

Course Format

• Interactive lectures and discussions.
• Daily hands-on labs conducted in a live OpenShift environment.
• Scenario-driven exercises and troubleshooting workshops.

Course Customization Options

• For those requesting customized training for this course, please contact us to arrange details.

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

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

• Setting up and configuring AWS Cloud9 for DevOps workflows.
• Implementing continuous integration and continuous delivery (CI/CD) pipelines.
• Automating testing, monitoring, and deployment processes using AWS Cloud9.
• Integrating AWS services such as Lambda, EC2, and S3 into DevOps workflows.
• Leveraging source control systems like GitHub or GitLab within AWS Cloud9.

This instructor-led, live training in Taiwan (online or onsite) is designed for intermediate-level professionals aiming 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:

• Comprehend the fundamental principles of serverless architecture.
• Configure 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 both performance and cost-efficiency.

This instructor-led, live training in Taiwan (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.
• Create reproducible builds of Kubernetes applications.
• Distribute applications as Helm charts.
• Run third-party applications packaged as Helm charts.
• Manage releases of Helm packages.

Summary:

• Foundations of IoT architecture and its core functions
• Understanding "Things," "Sensors," internet connectivity, and mapping IoT to business functions
• Essential software components of IoT: hardware, firmware, middleware, cloud, and mobile applications
• Key IoT functions: fleet management, data visualization, SaaS-based facility management and data visualization, alerts/alarms, sensor onboarding, "thing" registration, and geo-fencing
• Basics of IoT device-to-cloud communication using MQTT
• Connecting IoT devices to AWS via MQTT (AWS IoT Core)
• Integrating AWS IoT Core with AWS Lambda for computation and DynamoDB for data storage
• Connecting Raspberry Pi to AWS IoT Core for straightforward data communication
• Hands-on experience with Raspberry Pi and AWS IoT Core to construct a smart device
• Sensor data visualization and web interface communication

This instructor-led, live training in Taiwan (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.
• Utilize Minikube for developing, testing, and debugging applications.

This instructor-led, live training in Taiwan (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.