AWS Advanced Architecture Training Course

This instructor-led live training Italy (online or onsite) is intended for 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.

During this instructor-led live training, attendees will gain a solid understanding of Amazon Redshift's core concepts.

Upon completion of this course, participants will be equipped to:

• Install and configure Amazon Redshift
• Load, configure, deploy, query, and visualize data using Amazon Redshift

Target Audience

• Developers
• IT Professionals

Course Format

• A blend of lectures, discussions, practical exercises, and extensive hands-on training

Note

• For tailored training options, please reach out to us to make arrangements.

This instructor-led, live training in Italy (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 Italy (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 Italy (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 designed to empower professionals to master cloud capabilities using Amazon Web Services. Delivered through real-world examples, the program enables participants to grasp the practical application of core concepts including cloud computing fundamentals, 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 possess the skills to implement their own 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. These capabilities empower organizations to develop scalable and cost-efficient solutions.

This instructor-led training, available both online and onsite, is designed for business and technical stakeholders at beginner to intermediate levels. The course aims to help participants understand core AWS services, the value proposition of cloud computing, cost models, fundamental security principles, and how to align AWS capabilities with organizational goals.

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

• Describe core AWS services and common cloud architectural patterns.
• Evaluate the business benefits and cost implications of migrating workloads to AWS.
• Identify suitable AWS services for typical business challenges, including compute, storage, databases, networking, and analytics.
• Recognize fundamental security, compliance, and governance aspects within the AWS cloud environment.
• Draft a high-level migration or cloud adoption plan, including cost and risk considerations.

Course Format

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

Customization Options

• For customized training requests, please contact us to arrange.

This instructor-led, live training in Italy (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 Italy (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 Italy (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 Italy (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 Italy (onsite or remote) is designed for developers who wish to use AWS Lambda to build and deploy services and applications to the cloud, without having 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 Italy (online or onsite) is designed for advanced-level professionals eager to deepen their grasp of DevOps methodologies and streamline development processes using AWS Cloud9.

Upon completing 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 Italy (online or onsite) is designed for intermediate-level professionals who want to learn how to efficiently 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:

• Core principles of IoT architecture and functionality
• Understanding 'Things' and 'Sensors', internet connectivity, and how IoT maps to business operations
• Fundamentals of IoT software components: hardware, firmware, middleware, cloud, and mobile applications
• Key IoT capabilities: fleet management, data visualization, SaaS-based FM and DV, alerts/alarm systems, sensor and 'thing' onboarding, and geo-fencing
• Basics of cloud communication for IoT devices using MQTT
• Connecting IoT devices to AWS via MQTT (AWS IoT Core)
• Integrating AWS IoT Core with AWS Lambda for computation and DynamoDB for data storage
• Linking Raspberry PI with AWS IoT Core for basic data exchange
• Practical experience with Raspberry PI and AWS IoT Core to develop a smart device
• Visualizing sensor data and facilitating communication through a web interface