AWS Advanced Architecture Training Course

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 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 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.

AWS, or Amazon Web Services, is a comprehensive cloud platform that offers a wide range of services including compute, storage, database, networking, analytics, and managed services. These services enable organizations to build scalable and cost-effective solutions.

This instructor-led, live training (available online or onsite) is designed for beginner-level to intermediate-level business and technical stakeholders who wish to gain a deep understanding of core AWS services, the value propositions of cloud computing, cost models, security basics, and how to align AWS capabilities with their organizational objectives.

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

• Explain core AWS services and common cloud architectures.
• Evaluate the business benefits and cost models associated with migrating workloads to AWS.
• Identify suitable AWS services for addressing common business challenges in areas such as compute, storage, databases, networking, and analytics.
• Understand basic security, compliance, and governance considerations within the AWS cloud environment.
• Develop a high-level migration or cloud adoption plan that considers cost and risk factors.

Format of the Course

• Interactive lectures and discussions.
• Demonstrations conducted by the instructor using the AWS console.
• Group exercises and scenario-based workshops.

Course Customization Options

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

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 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.

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 (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 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:

• 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

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.