Amazon Web Services (AWS) Training in the UAE

This instructor-led, live training in the UAE (online or onsite) is aimed at intermediate-level IT professionals who wish to learn how to leverage AWS tools and services to build, train, and deploy AI models efficiently.

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

• Understand the AI/ML services provided by AWS.
• Be able to set up and manage AI/ML environments on AWS.
• Gain hands-on experience in building, training, and deploying AI models using Amazon SageMaker.
• Learn to utilize various AWS AI services for specific use cases.

This instructor-led, live training in the UAE (online or onsite) is aimed at advanced-level cloud professionals who wish to master cloud infrastructure management and automation using AWS Cloud9 and AWS CDK.

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

• Set up and configure AWS Cloud9 for infrastructure management.
• Understand and apply AWS CDK to automate cloud resource provisioning.
• Design efficient and scalable cloud infrastructure solutions.
• Optimize cloud resources to improve performance and reduce costs.
• Implement advanced security and compliance strategies in AWS infrastructure.

This instructor-led, live training in the UAE (online or onsite) is aimed at intermediate-level developers who wish to master building and deploying microservices with AWS Cloud9 and other AWS services.

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

• Understand microservices architecture and its benefits.
• Set up a microservices development environment on AWS Cloud9.
• Build, test, and deploy microservices using Docker and AWS services.
• Integrate AWS Lambda, ECS, and API Gateway with microservices.
• Apply DevOps practices to manage microservices deployments.

This instructor-led, live training in the UAE (online or onsite) is aimed at intermediate-level data scientists and analysts who wish to use AWS Cloud9 for streamlined data science workflows.

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

• Set up a data science environment in AWS Cloud9.
• Perform data analysis using Python, R, and Jupyter Notebook in Cloud9.
• Integrate AWS Cloud9 with AWS data services like S3, RDS, and Redshift.
• Utilize AWS Cloud9 for machine learning model development and deployment.
• Optimize cloud-based workflows for data analysis and processing.

AWS Cloud Practitioner Essentials is a foundational course designed to provide participants with a broad understanding of AWS Cloud concepts, services, security, architecture, pricing, and support.

This instructor-led, live training (online or onsite) is aimed at beginner-level professionals who wish to understand AWS at a conceptual level and build a solid foundation for future AWS learning or certification.

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

• Describe the basic global infrastructure of the AWS Cloud.
• Explain key AWS services and their common use cases.
• Understand cloud security and compliance within AWS.
• Navigate pricing models and support plans.

Format of the Course

• Interactive lecture and discussion.
• Hands-on use of AWS Console in guided exercises.
• Practical activities and knowledge checks aligned with the AWS exam guide.

Course Customization Options

• To request a customized training for this course based on your organization’s learning goals or cloud strategy, please contact us to arrange.

This instructor-led, live training in the UAE (online or onsite) is aimed at intermediate-level Python developers who wish to enhance their Python development experience using AWS Cloud9.

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

• Set up and configure AWS Cloud9 for Python development.
• Understand the AWS Cloud9 IDE interface and features.
• Write, debug, and deploy Python applications in AWS Cloud9.
• Collaborate with other developers using the AWS Cloud9 platform.
• Integrate AWS Cloud9 with other AWS services for advanced deployments.

This instructor-led, live training in the UAE (online or onsite) is aimed at beginner-level developers who wish to set up and use AWS Cloud9 for cloud-based projects.

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

• Understand the AWS Cloud9 environment and its components.
• Set up their own AWS Cloud9 development workspace.
• Develop and run simple applications within AWS Cloud9.
• Familiarize themselves with the collaboration features of AWS Cloud9.

This instructor-led, live training in the UAE (online or onsite) is aimed at beginner-level to intermediate-level system administrators and IT professionals who wish to gain hands-on experience in managing AWS cloud services and prepare for the AWS Certified SysOps Administrator - Associate exam.

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

• Set up and configure AWS services and resources securely.
• Manage user identities, permissions, and access to AWS resources.
• Design and deploy scalable, highly available, and fault-tolerant systems on AWS.
• Implement and manage data flow to and from AWS.
• Optimize AWS service usage to ensure efficient operation and cost management.

This instructor-led, live training in the UAE (online or onsite) is aimed at beginner-level to intermediate-level IT professionals who wish to learn how to conduct an AWS security audit effectively and efficiently.

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

• Understand the core concepts and benefits of AWS security audit.
• Use AWS tools and services to perform an AWS security audit.
• Analyze and interpret the audit results and recommendations.
• Implement the audit findings and remediate the issues.

This instructor-led, live training in the UAE (online or onsite) is aimed at intermediate-level cloud architects and developers who wish to gain the knowledge and tools necessary to efficiently manage and optimize AWS costs, aligning cloud spending with business objectives.

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

• Understand how AWS pricing works and how different services contribute to overall costs.
• Learn how to implement cost-saving measures, utilize reserved instances, and optimize resource usage.
• Develop skills to create, manage, and adhere to budgets within the AWS framework.

This instructor-led, live training in the UAE (online or onsite) is aimed at intermediate-level to advanced-level full-stack developers who wish to utilize AWS Cloud9 to streamline their development workflows.

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

• Set up and configure AWS Cloud9 for full-stack development.
• Develop and debug front-end applications using Cloud9.
• Build and deploy back-end services using AWS Cloud9.
• Integrate Cloud9 with AWS services for advanced deployments.
• Collaborate with team members in a cloud-based development environment.

This instructor-led, live training in the UAE (online or onsite) is aimed at beginner to intermediate-level IT professionals who wish to gain the knowledge and skills required to secure Amazon Web Services (AWS) environments effectively.

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

• Understand the core concepts of AWS Cloud Security and its importance in a cloud environment.
• Implement effective access controls, authentication mechanisms, and multi-factor authentication to secure AWS resources.
• Define and enforce security policies and monitor AWS resources.

This instructor-led, live training in the UAE (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 the UAE (online or onsite) is aimed at developers who wish to build serverless applications using services in the AWS serverless platform.

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

• Implement event-driven best practices in designing serverless applications using appropriate AWS services.
• Build serverless applications using AWS services.
• Monitor, secure, and scale serverless applications on AWS.
• Utilize different developer tools to configure and automate serverless application deployment.
• Create and maintain a list of serverless resources that will aid in serverless application development.

This instructor-led, live training in the UAE (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.

EKS is AWS's self-managed Kubernetes-as-a-service solution. It offers full scalability and customization, enabling Kubernetes deployments that can mirror or integrate with existing on-premise setups.

This instructor-led live training will guide participants through setting up and managing a container environment at production scale using Kubernetes on EKS.

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

• Set up and manage Kubernetes on EKS
• Migrate an existing on-premise Kubernetes setup to AWS cloud
• Integrate Kubernetes with third-party continuous integration (CI) tools
• Ensure high availability and disaster recovery in a Kubernetes environment
• Leverage the available tools for efficient EKS management

Audience

• Developers
• System Administrators
• DevOps Engineers

Course Format

• The course includes lectures, discussions, exercises, and extensive hands-on practice in a live-lab setting.

Note

• To arrange for a customized training session, please contact us to make the necessary arrangements.

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 the UAE (online or onsite) is aimed at cloud engineers and developers who wish to use CloudFormation to manage infrastructure resources within the AWS ecosystem.

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

• Implement CloudFormation templates to automate infrastructure management.
• Integrate existing AWS resources into CloudFormation.
• Use StackSets to manage stacks across multiple accounts and regions.

Amazon Redshift is a cloud-based data warehouse service in AWS designed to handle petabyte-scale datasets.

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

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

• Set up and configure Amazon Redshift
• Load, manage, deploy, query, and visualize data using Amazon Redshift

Audience

• Developers
• IT Professionals

Course Format

• The course includes lectures, discussions, exercises, and extensive hands-on practice.

Note

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

This instructor-led, live training in the UAE (online or onsite) is aimed at developers who wish to use Amazon S3 to enable cloud-based storage for their websites, web applications and/or mobile applications.

This instructor-led, live training in the UAE (online or onsite) is aimed at cloud engineers wishing to understand and implement the more complex aspects of AWS architecture. The course covers many of the same topics as the AWS Certified Solutions Architect (Professional) level courses. However, this course is NOT intended to prepare participants to take an exam. This is a hands-on, practical course that demonstrates how to implement in a live lab environment many of the configurations, implementations, and deployments that an AWS Solutions Architect would need to carry out.

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

• Design complex cloud solutions on AWS.
• Deploy software applications on AWS that are scalable, highly available, and fault-tolerant.
• Integrate the most appropriate AWS services with an application.
• Migrate a complex software application to AWS.
• Apply best practices to the design, implementation, optimization and deployment of infrastructure and applications on AWS.

This instructor-led, live training in the UAE (online or onsite) is aimed at DevOps engineers and developers who wish to use CodePipeline to automate release pipelines for efficient updating of applications and infrastructures.

By the end of this training, participants will be able to use CodePipeline features and tools to automate and configure workflows in software release workflows.

This instructor-led, live training in the UAE (online or onsite) is aimed at developers who wish to integrate a DynamoDB NoSQL database into a web application hosted on AWS.

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

• Set up the necessary development environment to start integrating data into DynamoDB.
• Integrate DynamoDB into web applications and mobile applications.
• Move data in AWS with AWS services.
• Implement operations with AWS DAX.

This four-day course will cover:

• An overview of key AWS services, their applications, and fundamental best practices for architecture design.
• The skills needed to plan, create, and implement cloud-based solutions using AWS.
• Hands-on experience with developing and managing applications on Amazon Simple Storage Service (S3), Amazon DynamoDB, Amazon Simple Queue Service (SQS), Amazon Simple Notification Service (SNS), Amazon Simple Workflow Service (SWF), AWS Elastic Beanstalk, and AWS CloudFormation.

Audience:

Cloud engineers, center of excellence team members, Windows server administrators, Unix/Linux administrators, storage administrators, network administrators, and virtualization administrators.

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

This instructor-led, live training in the UAE (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 the UAE (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 the UAE (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 the UAE (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 the UAE (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 the UAE provides an overview of AWS products, services and solutions. It is aimed at individuals and teams who are:

• evaluating/preparing for an initial deployment of their IT infrastructure on AWS.
• evaluating/preparing to migrate their existing IT infrastructure to the AWS public cloud.

By the end of this training, participants will have a clear understanding of the principal components that make up Amazon's cloud offering. The hands-on exercises, discussions and in-class deployments will provide participants with the practice and feedback they need to feel comfortable and prepared to carry out their own live deployments to AWS.

This instructor-led, live training in the UAE (online or onsite) is aimed at developers who wish to install, configure, and manage AWS RoboMaker capabilities to create, simulate, and deploy applications for robots and autonomous vehicles and devices.

By the end of this training, participants will be able to use AWS RoboMaker to build, simulate, deploy, manage, test, and monitor robot applications.

This instructor-led, live training in the UAE (online or onsite) is aimed at data scientists and developers who wish to create and train machine learning models for deployment into production-ready hosting environments.

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

• Use notebook instances to prepare and upload data for training.
• Train machine learning models using training datasets.
• Deploy trained models to an endpoint to create predictions.

This instructor-led, live training in the UAE (online or onsite) is aimed at technical persons who wish to understand AWS products and services so as to make an informed decision about how to implement AWS cloud solutions within their organization.

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

• Identify and understand the role of each of the services offered by AWS.
• Understand the terminology and concepts related to AWS.
• Navigate the AWS Management Console.
• Set up and manage team user accounts securely.
• Match AWS's services to an organization's problem and requirements.
• Make informed decisions about which AWS services to implement.
• Plan out a broad cloud solution strategy for an organization.

This instructor-led, live training in the UAE (online or onsite) is aimed at engineers who wish to use AWS CloudFormation to automate the process of managing AWS cloud infrastructure.

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

• Enable AWS services to get started managing infrastructure.
• Understand and apply the principle of "infrastructure as code".
• Improve quality and lower the costs of deploying infrastructure.
• Write AWS CloudFormation Templates using YAML.

Summary:

• Fundamentals of IoT architecture and its functionalities
• The roles of “Things,” “Sensors,” the Internet, and their alignment with business functions in IoT
• Necessities of all IoT software components including hardware, firmware, middleware, cloud services, and mobile applications
• IoT capabilities such as fleet management, data visualization, SaaS-based FM and DV, alerts/alarms, sensor integration, device registration, geo-fencing
• Basics of how IoT devices communicate with the cloud using MQTT.
• Connecting IoT devices to AWS utilizing MQTT (AWS IoT Core).
• Integrating AWS IoT core with AWS Lambda functions for computation and data storage via DynamoDB.
• Linking Raspberry PI to AWS IoT core for simple data exchange.
• Practical experience in building a smart device using Raspberry PI and AWS IoT Core.
• Data visualization from sensors and communication through a web interface.

This instructor-led, live training in the UAE (online or onsite) is aimed at engineers who wish to deploy Machine Learning workloads to an AWS EC2 server.

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

• Install and configure Kubernetes, Kubeflow and other needed software on AWS.
• Use EKS (Elastic Kubernetes Service) to simplify the work of initializing a Kubernetes cluster on AWS.
• Create and deploy a Kubernetes pipeline for automating and managing ML models in production.
• Train and deploy TensorFlow ML models across multiple GPUs and machines running in parallel.
• Leverage other AWS managed services to extend an ML application.

This instructor-led, live training in (online or onsite) is aimed at engineers who wish to use Terraform on AWS to plan and build cloud infrastructure.

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

• Install and configure Terraform on AWS.
• Implement an "infrastructure as code" approach to managing AWS cloud environments.
• Create, launch, and dismantle infrastructure from within a single tool.
• Write declarative configuration files that can be managed like any other source code in a version control system.
• Quickly update configuration files for effectively responding to changing compute resource needs.
• Collaborate with other infrastructure engineers by sharing configuration files in a common code repository.
• Improve transparency in the infrastructure procurement process.

Summary:

• Fundamentals of IoT architecture and operations
• The roles of "Things," "Sensors," the Internet, and their alignment with business functions in IoT
• Necessities for all IoT software elements—hardware, firmware, middleware, cloud services, and mobile applications
• IoT capabilities including fleet management, data visualization, SaaS-based FM and DV, alerts/alarms, sensor integration, "thing" registration, geo-fencing
• Basics of IoT device interaction with the cloud using MQTT.
• Linking IoT devices to AWS via MQTT (AWS IoT Core).
• Integrating AWS IoT core with AWS Lambda for processing and data storage.
• Connecting a Raspberry PI to AWS IoT core and facilitating basic data exchange.
• Notifications and event management
• Sensor calibration procedures