AWS CloudFormation Training Course

Amazon Redshift is a petabyte-scale cloud-based data warehouse service in AWS.

In this instructor-led, live training, participants will learn 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 with Amazon Redshift

Audience

• Developers
• IT Professionals

Format of the course

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

Note

• 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 designed for 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, available in the UAE (online or onsite), targets cloud engineers seeking to understand and implement the advanced aspects of AWS architecture. The course covers many of the same topics as the AWS Certified Solutions Architect (Professional) level curriculum. However, this course is NOT designed to prepare participants for the certification exam. It is a practical, hands-on course demonstrating how to implement the configurations, implementations, and deployments required by an AWS Solutions Architect in a live lab environment.

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 (available online or onsite) is designed for intermediate-level IT professionals who want to learn how to effectively utilize AWS tools and services to build, train, and deploy AI models.

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

• Understand the AI/ML services provided by AWS.
• 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 (Amazon Web Services) is a comprehensive cloud platform that provides compute, storage, database, networking, analytics, and managed services, empowering organizations to construct scalable and cost-efficient solutions.

This instructor-led training, available both online and on-site, is designed for beginner to intermediate business and technical stakeholders. The course focuses on helping participants understand core AWS services, the value propositions of cloud computing, cost models, fundamental security concepts, and strategies for aligning AWS capabilities with organizational goals.

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

• Articulate core AWS services and common cloud architectural patterns.
• Evaluate the business benefits and cost implications of migrating workloads to AWS.
• Select appropriate AWS services for common business challenges, including compute, storage, databases, networking, and analytics.
• Identify fundamental security, compliance, and governance considerations within the AWS cloud environment.
• Develop a high-level migration or cloud adoption plan, including cost and risk assessments.

Course Format

• Interactive lectures and discussions.
• Instructor-led demonstrations within the AWS console.
• Group exercises and scenario-based workshops.

Course Customization Options

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

This instructor-led, live training in the UAE (online or onsite) is designed for beginner-level developers looking to establish and utilize AWS Cloud9 for their cloud-based projects.

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

• Grasp the AWS Cloud9 environment and its core components.
• Configure their own AWS Cloud9 development workspace.
• Build and execute basic applications within AWS Cloud9.
• Familiarize themselves with the collaborative capabilities of AWS Cloud9.

This instructor-led, live training in the UAE (online or on-site) 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 (online or on-site) is designed for intermediate-level Python developers seeking to enhance their 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 (onsite or remote) is designed for engineers looking to deploy and manage IoT devices on AWS.

By the end of this training, participants will be equipped to construct an IoT platform, encompassing the deployment and management of a backend, gateway, and devices on the AWS infrastructure.

This instructor-led, live training in the UAE (online or onsite) targets developers who aim 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 leverage 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) targets developers who want to utilize AWS Lambda to build and deploy services and applications to the cloud, without worrying 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 designed for advanced-level professionals aiming to deepen their understanding of DevOps methodologies and streamline development processes using AWS Cloud9.

Upon completion 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 live, instructor-led training in the UAE (online or onsite) targets intermediate-level professionals seeking to learn how to efficiently 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:

• Gaining a solid grasp of IoT architecture and its fundamental operations.
• Examining the roles of "Things" and "Sensors," understanding the Internet of Things (IoT), and aligning business functions with tailored IoT solutions.
• Receiving a thorough breakdown of IoT software layers: hardware, firmware, middleware, cloud infrastructure, and mobile apps.
• Mastering core IoT capabilities: fleet management, data visualization, SaaS-based facility and data visualization, alerting systems, sensor onboarding, and geo-fencing.
• Learning the basics of device-to-cloud communication via the MQTT protocol.
• Linking IoT devices to AWS through MQTT, leveraging AWS IoT Core.
• Combining AWS IoT Core with AWS Lambda for computational tasks and Amazon DynamoDB for secure data storage.
• Establishing seamless data communication between a Raspberry Pi and AWS IoT Core.
• Participating in a practical lab session: constructing a smart device using Raspberry Pi and AWS IoT Core.
• Visualizing sensor data and managing communication via web interfaces.