AWS Advanced Architecture Training Course

This instructor-led, live training in Greece (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 Greece (online or onsite) is intended for developers looking to utilize Amazon S3 to implement cloud-based storage for their websites, web applications, and/or mobile applications.

This instructor-led, live training in Greece (online or onsite) is designed for beginner to intermediate system administrators and IT professionals seeking hands-on experience in managing AWS cloud services and preparing 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 rights to AWS resources.
• Design and deploy scalable, highly available, and fault-tolerant systems on AWS.
• Implement and manage data flow into and out of AWS.
• Optimize AWS service usage to ensure efficient operation and cost management.

This instructor-led live training in Greece (online or on-site) is designed for intermediate IT professionals aiming to leverage AWS tools and services to efficiently build, train, and deploy AI models.

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

• Understand the AI/ML services provided by AWS.
• 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.

This on-demand AWS Architect Certification training is designed to empower professionals to harness the power of Amazon Web Services (AWS) for cloud enablement. Delivered through practical, real-world examples, the course helps participants grasp the core principles of cloud computing, including 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 design and implement their own cloud solutions, effectively utilizing resources such as EC2 instances and S3 buckets.

Amazon Web Services (AWS) 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 either online or onsite, is designed for beginner to intermediate business and technical stakeholders. It aims to help participants understand core AWS services, the value propositions of the cloud, cost models, fundamental security concepts, and how to align AWS capabilities with organizational objectives.

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

• Describe 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 addressing common business challenges in compute, storage, databases, networking, and analytics.
• Recognize essential security, compliance, and governance considerations within the AWS cloud environment.
• Outline a basic migration or cloud adoption plan, including high-level 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

• For a customized training session, please contact us to make arrangements.

This instructor-led, live training in Greece (online or onsite) is targeted at beginner-level developers who intend 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.
• Familiarise themselves with the collaboration features of AWS Cloud9.

This instructor-led, live training in Greece (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 Greece (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 Greece (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 Greece (onsite or remote) is designed for developers who wish to utilize AWS Lambda to construct and deploy services and applications to the cloud, without concerning themselves with 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 Greece (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 Greece (online or onsite) is targeted at intermediate-level professionals who wish to acquire the skills 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 IoT architecture and its core functions
• Understanding 'Things', 'Sensors', the Internet, and how they map to business IoT functions
• Key elements of IoT software components: hardware, firmware, middleware, cloud infrastructure, and mobile applications
• Core IoT functionalities: Fleet management, data visualization, SaaS-based facility management and data visualization, alerts and alarms, sensor and 'thing' onboarding, and geo-fencing
• Fundamentals of IoT device-to-cloud communication via MQTT
• Connecting IoT devices to AWS using MQTT (AWS IoT Core)
• Linking AWS IoT Core with AWS Lambda functions for data processing and storage in DynamoDB
• Connecting Raspberry Pi to AWS IoT Core for basic data communication
• Practical experience with Raspberry Pi and AWS IoT Core to construct a smart device
• Sensor data visualization and interaction via a web interface