AWS: A Hands-on Introduction to Cloud Computing Training Course

Amazon Redshift is a cloud-based data warehouse service in AWS that can handle petabyte-scale data volumes.

In this instructor-led, live training, participants will gain an understanding of the fundamentals of Amazon Redshift.

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

• Install and configure Amazon Redshift
• Load, configure, deploy, query, and visualize data using Amazon Redshift

Audience

• Developers
• IT Professionals

Format of the course

• Part lecture, part discussion, with exercises and extensive hands-on practice

Note

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

The on-demand AWS Architect Certification training course is tailored to assist professionals in becoming proficient in cloud technology using Amazon Web Services. This course is delivered with real-world examples, aiding participants in grasping the practical application of concepts such as the fundamentals of cloud computing, Amazon Web Services (AWS), Infrastructure as a Service (IaaS), Platform as a Service (PaaS), Software as a Service (SaaS), private clouds, and cloud programming. Upon completion, participants will be equipped to implement their own cloud solutions using EC2 instances, S3 buckets, and other AWS resources.

Audience:

This course is tailored for cloud engineers, solution architects, centre of excellence teams, Windows server administrators, Unix/Linux administrators, storage administrators, network administrators, and virtualization administrators.

Course Objectives:

The primary goal of this course is to equip you with the skills to:

• Understand and apply the core principles and practices of the DevOps methodology
• Create and manage an infrastructure on AWS that supports one or more DevOps development projects
• Leverage AWS CloudFormation and AWS OpsWorks to deploy the necessary infrastructure for setting up development, testing, and production environments in a software project
• Utilize AWS CodeCommit and explore various options for establishing a Continuous Integration environment on AWS
• Design and implement a Continuous Integration and Delivery pipeline using AWS CodePipeline
• Execute common Continuous Deployment scenarios with AWS technologies, such as blue/green deployment and A/B testing
• Differentiate between the array of application deployment technologies available on AWS (such as AWS CodeDeploy, AWS OpsWorks, AWS Elastic Beanstalk, Amazon EC2 Container Service, and Amazon EC2 Container Registry), and select the most appropriate technology for a given scenario
• Optimize applications delivered on AWS for high performance and use AWS tools and technologies to monitor your application and environment for potential issues

This 4-day course will provide:

• An understanding of the core AWS services, their applications, and fundamental architectural best practices.
• Proficiency in designing, developing, and deploying cloud-based solutions using AWS.
• Hands-on experience with developing and maintaining applications that utilize Amazon Simple Storage Service, Amazon DynamoDB, Amazon Simple Queue Service, Amazon Simple Notification Service, Amazon Simple Workflow Service, AWS Elastic Beanstalk, and AWS CloudFormation.

Audience:

Cloud engineers, members of the Centre of Excellence team, Windows server administrators, Unix/Linux administrators, storage administrators, network administrators, and virtualization administrators.

Upon completing this training program, participants will be able to deploy and use AWS services from a developer's perspective.

This instructor-led, live training in Uzbekistan (online or onsite) is aimed at engineers who wish to use Amazon ECS to deploying and scaling containerized applications.

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

• Create a containerized application running on Amazon ECS.
• Understand how ECS Clusters and the ECS Agent work.
• Auto Scale a Containerized Application
• Automate the Deployment Process
• Integrate the Docker application deployment process with new or existing Continuous Integration workflows.

This instructor-led, live training in Uzbekistan (online or onsite) is aimed at engineers who wish to use Amazon EKS to deploy and scale containerized applications across AWS managed Kubernetes clusters.

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

• Set up an EKS based Kubernetes cluster.
• Create and run a containerized application on Amazon EKS.
• Auto-scale a Containerized Application
• Automate the Deployment Process
• Integrate EKS based applications with a new or existing Continuous Integration workflow.

This instructor-led, live training in Uzbekistan (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 Uzbekistan (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 Uzbekistan (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 Uzbekistan (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 (online or onsite) is aimed at engineers who wish to evaluate each of these services to make an informed decisions about which to deploy within their organization.

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

• Set up a development environment that includes all needed libraries, packages and frameworks needed to start developing.
• Set up, configure and deploy a series of demo containers using a number of different approaches.
• Understand the architectural and design differences among different Docker/Kubernetes solutions within AWS.
• Automate the deployment of Docker containers.
• Set up a continuous integration and deployment pipeline.
• Integrate Docker and Kubernetes into an existing continuous integration system.

This instructor-led, live training in Uzbekistan (online or onsite) is aimed 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.

Summary:

• Introduction to the fundamental architecture and functions of the Internet of Things (IoT)
• Understanding the components such as "Things," "Sensors," and their integration with the internet, along with how they map to business functions in IoT
• Overview of essential IoT software components, including hardware, firmware, middleware, cloud services, and mobile applications
• Key IoT functionalities like fleet management, data visualization, Software-as-a-Service (SaaS) based fleet management and data visualization, alerts and alarms, sensor onboarding, device onboarding, and geo-fencing
• Basics of IoT device communication with the cloud using the MQTT protocol
• Connecting IoT devices to AWS using MQTT through AWS IoT Core
• Integrating AWS IoT Core with AWS Lambda for computation and data storage
• Connecting a Raspberry PI to AWS IoT Core and demonstrating simple data communication
• Handling alerts and events in the IoT ecosystem
• Sensor calibration techniques

Summary:

• Introduction to the fundamental architecture and functions of IoT (Internet of Things)
• Understanding the roles of "things," sensors, the internet, and how they align with business functions in IoT
• Overview of all essential IoT software components, including hardware, firmware, middleware, cloud services, and mobile applications
• Key IoT functionalities such as fleet management, data visualization, SaaS-based fleet management and data visualization, alerts and alarms, sensor onboarding, device onboarding, and geo-fencing
• Basics of IoT device communication with the cloud using MQTT (Message Queuing Telemetry Transport)
• Connecting IoT devices to AWS (Amazon Web Services) using MQTT through AWS IoT Core
• Linking AWS IoT Core with AWS Lambda functions for computation and data storage utilizing DynamoDB
• Integrating Raspberry PI with AWS IoT Core for simple data communication
• Practical hands-on experience with Raspberry PI and AWS IoT Core to create a smart device
• Data visualization and communication with a web interface for sensor data

EKS is a self-managed Kubernetes-as-a-service offering from AWS. It is fully scalable and customizable, enabling a Kubernetes deployment to replicate or integrate with an existing on-premise Kubernetes setup.

In this instructor-led, live training, participants will learn how to set up and manage a production-scale container environment using Kubernetes on EKS.

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

• Configure and manage Kubernetes on EKS
• Migrate an existing Kubernetes environment from on-premise to the AWS cloud
• Integrate Kubernetes with third-party continuous integration (CI) software
• Ensure high availability and disaster recovery in Kubernetes
• Understand and adopt the tools available to efficiently manage EKS

Audience

• Developers
• System Administrators
• DevOps Engineers

Format of the Course

• Part lecture, part discussion, exercises, and extensive hands-on practice in a live-lab environment.

Note

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