AWS Advanced Architecture Training Course

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

Upon completing this training, participants will be able to:

• Securely set up and configure AWS services and resources.
• 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 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 utilise various AWS AI services for specific use cases.

The on-demand AWS Architect Certification training course is crafted to empower professionals to leverage cloud capabilities through Amazon Web Services (AWS). Through real-world examples, the course helps participants grasp the practical application of key concepts such as cloud computing fundamentals, AWS services, Infrastructure as a Service (IaaS), Platform as a Service (PaaS), Software as a Service (SaaS), private clouds, and cloud programming. Upon completion, learners will be equipped to implement their own cloud solutions using resources like EC2 instances and S3 buckets.

AWS (Amazon Web Services) is a comprehensive cloud platform that provides compute, storage, database, networking, analytics, and managed services, enabling organizations to build 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 wish to understand core AWS services, the value proposition of the cloud, cost models, security fundamentals, and how to align AWS capabilities with organisational objectives.

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

• Explain core AWS services and common cloud architectures.
• Assess the business benefits and cost models of migrating workloads to AWS.
• Identify appropriate AWS services for common business challenges (compute, storage, databases, networking, analytics).
• Recognise basic security, compliance, and governance considerations within the AWS cloud.
• Outline a simple migration or cloud adoption plan, including high-level cost and risk considerations.

Course Format

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

Course Customisation Options

• To request customised training for this course, please contact us to make arrangements.

This instructor-led live training, available online or on-site, is designed for beginner developers looking to configure and leverage AWS Cloud9 for cloud-based development projects.

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

• Gain a clear understanding of the AWS Cloud9 environment and its core components.
• Configure their personal AWS Cloud9 development workspace.
• Create and execute simple applications using AWS Cloud9.
• Explore and utilize the collaboration tools within AWS Cloud9.

This instructor-led, live training in Uzbekistan (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 Uzbekistan (online or onsite) is designed for intermediate-level Python developers who want 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.

The AWS Cloud Practitioner Essentials course offers a foundational overview of AWS Cloud concepts, services, security, architecture, pricing, and support.

This live, instructor-led training is available both online and onsite. It is designed for beginner-level professionals seeking to understand AWS at a conceptual level and establish a solid foundation for future AWS learning or certification.

Upon completing this training, participants will be able to:

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

Course Format

• Interactive lectures and discussions.
• Hands-on practice with the AWS Console through guided exercises.
• Practical activities and knowledge checks aligned with the AWS exam guide.

Course Customization Options

• To request customized training tailored to your organization’s learning goals or cloud strategy, please contact us.

This workshop equips candidates for the AWS Certified Solutions Architect exam by aligning exam objectives with practical knowledge and hands-on scenarios.

This instructor-led, live training (online or onsite) targets intermediate-level to advanced-level cloud practitioners who want to consolidate architect-level knowledge, practice exam-style questions, and build confidence for certification.

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

• Map AWS services and architectural patterns to exam domains and objectives.
• Design resilient, high-performing, secure, and cost-optimized architectures on AWS.
• Apply best practices from the Well-Architected Framework to real-world scenarios.
• Approach and solve exam-style multiple-choice and scenario questions with effective strategies.
• Identify personal study gaps and create a focused preparation plan for the certification exam.

Format of the Course

• Interactive lecture and domain mapping to the official exam blueprint.
• Hands-on lab demonstrations and guided architecture design exercises.
• Timed practice exams, question walkthroughs, and test-taking strategies.

Course Customization Options

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

This 4-day program offers:

• A comprehensive understanding of core AWS services, their applications, and fundamental architecture best practices.
• The ability to design, develop, and deploy cloud-based solutions utilizing AWS.
• Practical experience in building and maintaining applications using 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.

Target Audience:

Cloud engineers, Center of Excellence teams, Windows server administrators, Unix/Linux administrators, storage administrators, network administrators, and virtualization administrators.

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

This instructor-led, live training in Uzbekistan (onsite or remote) is designed for engineers looking to deploy and manage IoT devices on AWS.

Upon completion 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 Uzbekistan (onsite or remote) is designed for developers who wish to use 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 conclusion 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 on-site) is designed for 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 on-site) is designed for 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 core principles of serverless architecture.
• Configure 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 improved performance and cost efficiency.

Summary:

• Gaining a clear understanding of IoT architecture and its core functionalities.
• Examining the concepts of "Things" and "Sensors," the Internet of Things, and aligning business processes with IoT solutions.
• Reviewing the essential software components of IoT: hardware, firmware, middleware, cloud infrastructure, and mobile applications.
• Exploring key IoT functions: fleet management, data visualization, SaaS-based facility and data management, alerting and alarm systems, onboarding sensors and devices, and geo-fencing.
• Mastering the fundamentals of device-to-cloud communication via MQTT.
• Connecting IoT devices to AWS using MQTT through AWS IoT Core.
• Integrating AWS IoT Core with AWS Lambda for computational tasks and Amazon DynamoDB for data storage.
• Linking a Raspberry Pi to AWS IoT Core to enable seamless data exchange.
• Participating in a hands-on lab: constructing a smart device utilizing a Raspberry Pi and AWS IoT Core.
• Visualizing sensor data and establishing communication interfaces for web applications.