Amazon S3 Fundamentals Training Course

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 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 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 (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 in Turkey (online or onsite) is designed for beginner to intermediate-level IT professionals who wish to gain the knowledge and skills required to effectively secure Amazon Web Services (AWS) environments.

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

• Understand the core concepts of AWS Cloud Security and its importance in a cloud environment.
• Implement effective access controls, authentication mechanisms, and multi-factor authentication to secure AWS resources.
• Define and enforce security policies and monitor AWS resources.

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.

Summary:

• Gaining a deep understanding of IoT architecture and its core operational functions.
• Exploring the fundamental concepts of 'Things' and 'Sensors,' comprehending the Internet of Things landscape, and mapping business requirements to effective IoT solutions.
• Reviewing the comprehensive IoT software stack: hardware, firmware, middleware, cloud infrastructure, and mobile applications.
• Examining key IoT use cases: fleet management, data visualization, Software-as-a-Service (SaaS) for Facility and Data Visualization, alerting and alarm systems, sensor and device onboarding, and geo-fencing.
• Mastering the basics of IoT device-to-cloud communication via the MQTT protocol.
• Connecting IoT devices to AWS services using MQTT through AWS IoT Core.
• Integrating AWS IoT Core with AWS Lambda for computational tasks and Amazon DynamoDB for robust data storage.
• Establishing seamless data communication between a Raspberry Pi and AWS IoT Core.
• Participating in a hands-on lab to construct a smart device utilizing a Raspberry Pi and AWS IoT Core.
• Visualizing sensor data and facilitating communication through web interfaces.