AWS Advanced Architecture Training Course

This instructor-led, live training in Turkey (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, petabyte-scale data warehouse service within the AWS ecosystem.

Through this instructor-led live training, attendees will grasp the core principles of Amazon Redshift.

Upon completion of this session, participants will be capable of:

• Installing and setting up Amazon Redshift
• Loading, configuring, deploying, querying, and visualizing data using Amazon Redshift

Target Audience

• Software Developers
• IT Specialists

Course Format

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

Note

• For personalized training arrangements, please reach out to us.

This instructor-led, live training in Turkey (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 Turkey (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 Turkey (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.

This on-demand AWS Solutions Architect Certification training program is designed to equip professionals with the skills needed to leverage Amazon Web Services for cloud enablement. Delivered through real-world examples, the course enables participants to grasp the practical application of key concepts such as 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 development. Upon completion, learners will be capable of deploying their own solutions on the cloud using EC2 instances, S3 buckets, and other services.

AWS, short for Amazon Web Services, is a robust cloud platform providing a wide array of services including compute power, storage, databases, networking, analytics, and managed services. These tools empower organizations to develop scalable and cost-efficient solutions.

This instructor-led live training, available either online or onsite, is designed for beginner to intermediate-level business and technical stakeholders. It aims to help participants grasp fundamental AWS services, the value propositions of cloud computing, cost structures, security fundamentals, and strategies for aligning AWS capabilities with organizational goals.

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

• Describe key AWS services and standard cloud architectures.
• Evaluate the business advantages and cost implications of migrating workloads to AWS.
• Select suitable AWS services for addressing common business challenges, such as compute, storage, databases, networking, and analytics.
• Understand essential security, compliance, and governance aspects within the AWS environment.
• Draft a high-level migration or cloud adoption plan, including 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 customized training arrangements, please contact us to discuss your specific needs.

This instructor-led live training in Turkey (online or on-site) is designed for beginner-level developers who want to set up and utilize AWS Cloud9 for cloud-based projects.

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

• Understand the AWS Cloud9 environment and its key 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 Turkey (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 Turkey (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 Turkey (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 Turkey (onsite or remote) targets developers aiming to use AWS Lambda to build and deploy cloud services and applications, without the burden of 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 Turkey (online or onsite) targets 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 Turkey (online or onsite) is tailored for 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.

Overview:

• Foundations of IoT architecture and core functionalities
• Understanding 'Things', 'Sensors', the Internet, and mapping these to business IoT functions
• Key components of IoT software: hardware, firmware, middleware, cloud services, and mobile applications
• Core IoT operations: fleet management, data visualization, Software-as-a-Service (SaaS) for facility management and visualization, alerts/alarms, and onboarding for sensors and 'things', including geo-fencing
• Fundamentals of IoT device-to-cloud communication using MQTT
• Connecting IoT devices to AWS via AWS IoT Core and MQTT
• Integrating AWS IoT Core with AWS Lambda for data processing and storage in DynamoDB
• Linking Raspberry Pi with AWS IoT Core for basic data exchange
• Practical experience building smart devices using Raspberry Pi and AWS IoT Core
• Visualizing sensor data and establishing web interface communication