AWS Advanced Architecture Training Course

This instructor-led live training in Czech Republic (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 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 Czech Republic (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 Czech Republic (online or on-site) is aimed at beginner to intermediate 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 Czech Republic (online or onsite) is designed for intermediate-level IT professionals seeking to master the efficient use of AWS tools and services for building, training, and deploying AI models.

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 designed to assist professionals in leveraging Amazon Web Services to become cloud-ready. Delivered with real-world examples, this course helps participants grasp the practical application of key concepts including cloud computing fundamentals, 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 services such as EC2 instances and S3 buckets.

Amazon Web Services (AWS) is a comprehensive cloud platform providing compute, storage, database, networking, analytics, and managed services, empowering organizations to create scalable and cost-effective solutions.

This instructor-led live training, available online or onsite, targets beginner to intermediate business and technical stakeholders. The course aims to help participants grasp core AWS services, cloud value propositions, cost models, security fundamentals, and how to align AWS capabilities with organizational goals.

Upon completing this training, participants will be able to:

• Describe fundamental AWS services and common cloud architectures.
• Evaluate the business benefits and cost implications of migrating workloads to AWS.
• Select suitable AWS services for typical business challenges across compute, storage, databases, networking, and analytics.
• Identify key security, compliance, and governance aspects within the AWS cloud.
• Draft a high-level migration or cloud adoption plan, including preliminary cost and risk assessments.

Course Format

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

Customization Options

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

This instructor-led, live training in Czech Republic (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 Czech Republic (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 Czech Republic (on-site 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 Czech Republic (online or onsite) is designed for developers who want to install, configure, and manage AWS IoT Greengrass capabilities to create applications for various devices.

Upon completion 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 Czech Republic (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, 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 Czech Republic (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 Czech Republic (online or onsite) targets intermediate-level professionals who want 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:

• Gain a solid understanding of IoT architecture and its fundamental operations.
• Explore the definitions of "Things" and "Sensors," the scope of the Internet of Things, and how to align business processes with effective IoT solutions.
• Receive a comprehensive breakdown of IoT software layers, including hardware, firmware, middleware, cloud infrastructure, and mobile applications.
• Master essential IoT capabilities: fleet management, data visualization, SaaS-driven facility and data visualization, alerting systems, onboarding for sensors and devices, and geo-fencing.
• Learn the core principles of device-to-cloud communication utilizing the MQTT protocol.
• Connect IoT devices to the AWS ecosystem via MQTT, leveraging AWS IoT Core.
• Integrate AWS IoT Core with AWS Lambda for computational tasks and Amazon DynamoDB for robust data storage.
• Establish seamless data communication links between a Raspberry Pi and AWS IoT Core.
• Engage in a practical lab session to construct a smart device using a Raspberry Pi and AWS IoT Core.
• Visualize sensor data and manage communication through web interfaces.