Amazon S3 Fundamentals Training Course

This instructor-led, live training in Serbia (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 offered by AWS, capable of handling petabyte-scale datasets.

In this instructor-led, live training, participants will gain an understanding of the fundamental concepts and functionalities of Amazon Redshift.

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

• Set up and configure Amazon Redshift
• Efficiently load, manage, query, and visualize data using Amazon Redshift

Audience

• Developers
• IT Professionals

Course Format

• The course combines lectures, discussions, practical exercises, and extensive hands-on practice.

Note

• To request a customized version of this training, please contact us to arrange.

This instructor-led, live training in Serbia (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 Serbia (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 Serbia (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 with Amazon Web Services, enabling them to leverage the cloud effectively. This course uses real-life examples to help participants grasp the practical application of key concepts, including 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 of this course, participants will be equipped to implement their own solutions on the cloud using EC2 instances, S3 buckets, and other AWS services.

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

This instructor-led, live training (available both online and on-site) is designed for business and technical stakeholders with beginner to intermediate levels of expertise who want to understand the core AWS services, the value propositions of cloud computing, cost models, security basics, 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 benefits and cost models associated with migrating workloads to AWS.
• Identify suitable AWS services for addressing typical business challenges in compute, storage, databases, networking, and analytics.
• Understand basic security, compliance, and governance considerations within the AWS cloud environment.
• Develop a simple migration or cloud adoption plan, taking into account high-level cost and risk factors.

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 Serbia (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 Serbia (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 Serbia (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 Serbia (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 Serbia (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 Serbia (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:

• Fundamentals of IoT architecture and functionality
• Understanding "Things," "Sensors," the Internet, and their alignment with business functions in IoT
• Key components of all IoT software systems—hardware, firmware, middleware, cloud, and mobile applications
• IoT functionalities such as fleet management, data visualization, SaaS-based fleet management and data visualization, alerts/alarms, sensor onboarding, device onboarding, and geo-fencing
• Basics of IoT device communication with the cloud using MQTT
• Connecting IoT devices to AWS using MQTT (AWS IoT Core)
• Integrating AWS IoT Core with AWS Lambda for computation and data storage
• Linking a Raspberry PI to AWS IoT Core for simple data communication
• Managing alerts and events
• Sensor calibration techniques

Summary:

• The fundamentals of IoT architecture and its functions
• An overview of "Things," "Sensors," the Internet, and their relationship to business operations in IoT
• A detailed look at 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
• The basics of IoT device communication with the cloud using MQTT
• Connecting IoT devices to AWS with MQTT through AWS IoT Core
• Integrating AWS IoT Core with AWS Lambda for computation and data storage using DynamoDB
• Connecting a Raspberry PI to AWS IoT Core and performing simple data communication
• Practical hands-on experience with a Raspberry PI and AWS IoT Core to build a smart device
• Data visualization and communication through a web interface