Google Kubernetes Engine (GKE) Training Course

This instructor-led, live training delivered Slovakia (online or onsite) is designed for advanced professionals aiming to deepen their understanding of machine learning models, refine their hyperparameter tuning skills, and learn effective model deployment strategies using Google Colab.

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

• Build advanced machine learning models using prominent frameworks like Scikit-learn and TensorFlow.
• Optimize model performance through systematic hyperparameter tuning.
• Deploy machine learning models into real-world applications using Google Colab.
• Collaborate and oversee large-scale machine learning projects within Google Colab.

This instructor-led live training in Slovakia (accessible online or onsite) is designed for intermediate data scientists and healthcare professionals seeking to harness AI for advanced medical applications using Google Colab.

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

• Deploy AI models for healthcare applications using Google Colab.
• Utilize AI for predictive modeling in healthcare datasets.
• Perform medical image analysis using AI-driven techniques.
• Investigate ethical considerations in AI-based healthcare solutions.

This instructor-led, live training in Slovakia (onsite or remote) is designed for engineers aiming to deploy and manage IoT devices on AWS.

Upon completion, participants will be equipped to build an IoT platform that includes deploying and managing a backend, gateway, and devices on top of AWS.

This instructor-led, live training in Slovakia (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 Slovakia (onsite or remote) is targeted at developers aiming to use AWS Lambda to build and deploy services and applications to the cloud, without worrying about provisioning 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 different event sources.
• Package, deploy, monitor, and troubleshoot Lambda-based applications.

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

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

• Configure 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 Slovakia (available online or onsite) targets beginner-level data scientists and IT professionals who want 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 runtime durations, and increased memory capacity to handle demanding AI and data science tasks.

This instructor-led, live training (available online or onsite) is designed for intermediate-level Python users who want 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 using 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 practical sessions.
• Hands-on implementation in a live laboratory environment.

Course Customization Options

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

DO180 serves as a practical introduction to containers, core Kubernetes principles, and Red Hat OpenShift platform concepts, emphasizing hands-on technical skills.

This instructor-led, live training (available online or onsite) is designed for technical professionals at beginner to intermediate levels who aim to master container workflows, Kubernetes primitives, and the deployment and operation of applications on OpenShift.

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

• Construct and manage container images and registries, adhering to best practices for security and reproducibility.
• Deploy and administer Kubernetes objects, including pods, deployments, and services, within an OpenShift environment.
• Leverage OpenShift features such as routes, BuildConfigs, and the web console to accelerate application delivery.
• Configure persistent storage, management of configurations, and handling of secrets for stateful workloads.
• Apply fundamental security measures, Role-Based Access Control (RBAC), and monitoring practices to ensure cluster and application health.

Course Format

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

Customization Options

• To request a tailored version of this course, please contact us to make arrangements.

This instructor-led, live training in Slovakia (online or onsite) is aimed at advanced-level professionals who wish to deepen their understanding of DevOps practices and streamline development processes using AWS Cloud9.

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

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

This instructor-led, live training in Slovakia (available online or onsite) is targeted at 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 Slovakia (online or onsite) is designed for engineers who want 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.
• Develop reproducible builds for Kubernetes applications.
• Distribute applications as Helm charts.
• Deploy third-party applications stored as Helm charts.
• Manage Helm package releases.

Summary:

• Fundamentals of IoT architecture and operational functions
• Understanding "Things," "Sensors," internet connectivity, and the mapping of business functions within IoT
• Key elements of IoT software infrastructure: hardware, firmware, middleware, cloud services, and mobile applications
• Core IoT functionalities: fleet management, data visualization, SaaS-based facility management and data visualization, alerting/alarm systems, sensor and "thing" onboarding, 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
• Linking Raspberry PI with AWS IoT Core for basic data communication
• Practical application: Using Raspberry PI and AWS IoT Core to construct a smart device
• Sensor data visualization and web interface communication

This instructor-led, live training in Slovakia (online or onsite) is designed for beginner to intermediate software developers and DevOps professionals who wish 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.
• Leverage Minikube for developing, testing, and debugging applications.

This instructor-led, live training in Slovakia (online or onsite) is designed for intermediate developers and DevOps engineers aiming to utilize Minikube within 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.