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

This instructor-led, live training in Uzbekistan (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 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.

This instructor-led, live training in Uzbekistan (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 Uzbekistan (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 Uzbekistan (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 Uzbekistan (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.

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.

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

This instructor-led, live training (available online or on-site) is designed for beginner to intermediate-level business and technical stakeholders who want to understand the core AWS services, the value propositions of cloud computing, cost models, basic security measures, and how to align AWS capabilities with their organizational goals.

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

• Explain the key AWS services and common cloud architectures.
• Evaluate the business advantages and cost models associated with moving workloads to AWS.
• Identify suitable AWS services for addressing typical business challenges (such as compute, storage, databases, networking, and analytics).
• Understand basic security, compliance, and governance considerations in the AWS cloud environment.
• Develop a simple migration or cloud adoption plan, considering high-level costs and risks.

Format of the Course

• Interactive lectures and discussions.
• Demonstrations 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 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 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