AWS CloudFormation Training Course

This instructor-led, live training in Slovakia (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 Slovakia (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 Slovakia (online or onsite) is designed for intermediate-level IT professionals who want to learn how to leverage AWS tools and services to efficiently build, train, and deploy AI models.

Upon completing this training, participants will be able to:

• Gain a thorough understanding of the AI/ML services offered by AWS.
• Effectively configure and manage AI/ML environments within the AWS ecosystem.
• Acquire practical experience in building, training, and deploying AI models using Amazon SageMaker.
• Learn to apply various AWS AI services to address specific business use cases.

This on-demand AWS Architect Certification training course is designed to equip professionals with the skills needed to leverage Amazon Web Services for cloud enablement. Taught through real-world examples, the course helps participants grasp the practical application of core 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, learners will be capable of implementing cloud solutions using services such as EC2 instances and S3 buckets.

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

This instructor-led live training (available online or onsite) is designed for beginner to intermediate business and technical stakeholders who want to understand core AWS services, cloud value propositions, cost models, security fundamentals, and how to align AWS capabilities with organizational goals.

Upon completion 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 common business challenges (compute, storage, databases, networking, analytics).
• Recognize fundamental security, compliance, and governance considerations within the AWS cloud.
• Outline a high-level migration or cloud adoption plan, including key cost and risk factors.

Course Format

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

Customization Options

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

This instructor-led, live training in Slovakia (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 Slovakia (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 Slovakia (online or onsite) is aimed at intermediate-level Python developers who wish 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.

This instructor-led live training, conducted Slovakia (online or onsite), is tailored for beginner to intermediate IT professionals aiming to acquire the knowledge and skills required to effectively secure Amazon Web Services (AWS) environments.

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

• Comprehend the fundamental concepts of AWS Cloud Security and its significance in cloud infrastructure.
• Implement robust access controls, authentication mechanisms, and multi-factor authentication to secure AWS resources.
• Define and enforce security policies while monitoring AWS resources.

AWS Cloud Practitioner Essentials is a foundational course designed to provide participants with a broad understanding of AWS Cloud concepts, services, security, architecture, pricing, and support.

This instructor-led, live training (online or onsite) is aimed at beginner-level professionals who wish to understand AWS at a conceptual level and build a solid foundation for future AWS learning or certification.

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

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

Format of the Course

• Interactive lecture and discussion.
• Hands-on use of AWS Console in guided exercises.
• Practical activities and knowledge checks aligned with the AWS exam guide.

Course Customization Options

• To request a customized training for this course based on your organization’s learning goals or cloud strategy, please contact us to arrange.

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

Upon completion, participants will be equipped to build an IoT platform that includes deploying and managing a backend, gateway, and devices on top of AWS.

This instructor-led, live training in Slovakia (onsite or remote) is targeted at developers aiming 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 Slovakia (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 Slovakia (available online or onsite) is targeted 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:

• Grasping IoT architecture and its fundamental functions.
• Examining the principles of "Things" and "Sensors," the broader Internet of Things landscape, and aligning business objectives with IoT solutions.
• A thorough review of IoT software components, encompassing hardware, firmware, middleware, cloud infrastructure, and mobile applications.
• Core IoT capabilities: Fleet management, data visualization, SaaS-based Facility Management and Data Visualization, alert and alarm systems, onboarding sensors and "things," and geo-fencing.
• Foundational concepts of IoT device-to-cloud communication via MQTT.
• Linking 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.
• Establishing a connection between a Raspberry Pi and AWS IoT Core to enable seamless data exchange.
• Practical lab exercise: Constructing a smart device employing a Raspberry Pi and AWS IoT Core.
• Visualizing sensor data and managing web interface interactions.