Google Kubernetes Engine (GKE) Training Course

This instructor-led, live training (conducted online or onsite) is designed for advanced-level professionals who wish to deepen their understanding of machine learning models, refine their hyperparameter tuning skills, and learn effective model deployment using Google Colab. By the end of this training, participants will be able to: - Implement advanced machine learning models using popular frameworks such as Scikit-learn and TensorFlow. - Enhance 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, ensuring alignment with public sector workflows for government.

This instructor-led, live training (conducted online or on-site) is designed for intermediate-level data scientists and healthcare professionals who aim to utilize artificial intelligence 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. - Examine ethical considerations in AI-based healthcare solutions for government.

This instructor-led, live training in [location] (onsite or remote) is designed for engineers who wish to deploy and manage IoT devices on AWS for government use. By the end of this training, participants will be able to construct an IoT platform that encompasses the deployment and management of a backend, gateway, and devices utilizing AWS services.

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

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, ensuring alignment with public sector workflows and governance.

This instructor-led, live training in [location] (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 provision 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 for government applications. - 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 (available online or onsite) is designed for intermediate-level data scientists and engineers who wish to utilize Google Colab and Apache Spark for big data processing and analytics. By the end of this training, participants will be able to: - Configure a big data environment using Google Colab and Apache Spark. - Efficiently process and analyze large datasets with Apache Spark. - Visualize big data in a collaborative setting. - Integrate Apache Spark with cloud-based tools for government.

This instructor-led, live training (conducted either online or onsite) is designed for government data scientists and IT professionals at the beginner level who wish to gain foundational knowledge in 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 manage datasets. - Create visualizations using Python libraries for government applications.

Google Colab Pro is a cloud-based environment designed for scalable Python development, offering high-performance GPUs, extended runtimes, and increased memory to support demanding AI and data science tasks.

This instructor-led, live training (available online or onsite) is tailored for intermediate-level Python users who wish to leverage Google Colab Pro for machine learning, data processing, and collaborative research in a robust notebook interface.

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

• Set up and manage cloud-based Python notebooks using Colab Pro.
• Utilize GPUs and TPUs for accelerated computation.
• Streamline machine learning workflows with popular libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
• Integrate with Google Drive and external data sources to support collaborative projects.

Format of the Course

• Interactive lecture and discussion.
• Extensive exercises and practice sessions.
• Hands-on implementation in a live-lab environment.

Course Customization Options for Government

• To request a customized training for this course, tailored to the specific needs of your agency, please contact us to arrange.

DO180 is an introductory course on containers, Kubernetes fundamentals, and Red Hat OpenShift platform concepts, with a focus on practical, hands-on skills development.

This instructor-led, live training (available both online and onsite) is designed for beginner to intermediate technical professionals who are interested in learning container workflows, Kubernetes basics, 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 within OpenShift.
• Leverage OpenShift features like routes, build configurations, and the web console to enhance application delivery.
• Implement persistent storage, configuration management, and secrets handling for stateful workloads.
• Apply basic security measures, role-based access control (RBAC), and monitoring practices to ensure healthy clusters and applications.

Course Format

• Interactive lectures and discussions.
• Hands-on labs in a live OpenShift environment each day.
• Scenario-driven exercises and troubleshooting workshops.

Customization Options for Government

• To request a customized training tailored to the specific needs of your agency, please contact us to arrange.

This instructor-led, live training in [location] (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 for government. By the end 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 processes using AWS Cloud9. - Integrate AWS services such as Lambda, EC2, and S3 into DevOps workflows for government. - Utilize source control systems like GitHub or GitLab within AWS Cloud9.

This instructor-led, live training (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 developing serverless applications. - 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, ensuring alignment with public sector workflows and governance standards for government.

This instructor-led, live training in [location] (online or onsite) is designed for engineers who wish to use Helm to streamline the process of installing and managing Kubernetes applications for government. By the end 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.

Summary:

• Overview of the fundamental architecture and functionalities of the Internet of Things (IoT)
• Understanding the roles of "things," sensors, the internet, and their alignment with business functions in IoT
• Comprehensive examination of essential IoT software components: hardware, firmware, middleware, cloud services, and mobile applications
• Key IoT functionalities including fleet management, data visualization, Software as a Service (SaaS)-based solutions for fleet management and data visualization, alerts and alarms, sensor onboarding, device onboarding, and geofencing
• Basics of IoT device communication with the cloud using the Message Queuing Telemetry Transport (MQTT) protocol
• Steps to connect IoT devices to AWS using MQTT through AWS IoT Core
• Integration of AWS IoT Core with AWS Lambda functions for data processing and storage in DynamoDB
• Demonstration of connecting a Raspberry Pi to AWS IoT Core and facilitating basic data communication
• Practical hands-on experience with Raspberry Pi and AWS IoT Core to develop a smart device
• Techniques for visualizing sensor data and enabling communication through web interfaces, tailored for government use cases

This instructor-led, live training in US (online or onsite) is designed for government software developers and DevOps professionals at the beginner to intermediate level 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 for government use. - Deploy and manage containers using kubectl and the Minikube dashboard. - Set up persistent storage and networking solutions for Kubernetes in a government context. - Utilize Minikube for developing, testing, and debugging applications for government projects.

This instructor-led, live training (online or onsite) is designed for intermediate-level developers and DevOps engineers who wish to incorporate Minikube into their development workflows for government. 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 for government. - Optimize their development process using Minikube's advanced features. - Apply best practices for local Kubernetes development in alignment with public sector standards.