AWS Security Audit Training Course

This instructor-led, live training in South Korea (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 South Korea (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 South Korea (online or onsite) is designed for cloud engineers aiming 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 South Korea (online or onsite) is designed for intermediate-level IT professionals who want to learn how to effectively use AWS tools and services to build, train, and deploy AI models.

Upon completing this training, participants will be able to:

• Understand the AI/ML services offered by AWS.
• Set up and manage AI/ML environments on AWS.
• Gain practical experience in building, training, and deploying AI models using Amazon SageMaker.
• Learn to apply various AWS AI services to specific use cases.

The on-demand AWS Architect Certification training course is designed to empower professionals with cloud expertise through Amazon Web Services. Delivered with real-world examples, the program helps participants grasp the practical application of key concepts, including 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 programming. Upon completion, participants will be equipped to implement their own cloud solutions using EC2 instances, S3 buckets, and other AWS resources.

Amazon Web Services (AWS) is a comprehensive cloud platform that provides compute, storage, database, networking, analytics, and managed services, empowering organizations to develop scalable and cost-effective solutions.

This instructor-led live training, available both online and onsite, is designed for beginner to intermediate business and technical stakeholders who want to grasp core AWS services, the value of cloud computing, cost models, fundamental security concepts, and how to align AWS capabilities with organizational goals.

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

• Describing core AWS services and typical cloud architectures.
• Evaluating the business advantages and cost implications of migrating workloads to AWS.
• Selecting suitable AWS services for common business challenges (including compute, storage, databases, networking, and analytics).
• Identifying fundamental security, compliance, and governance aspects within the AWS cloud.
• Drafting a high-level migration or cloud adoption plan, including key cost and risk factors.

Course Format

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

Customization Options

• To request customized training for this course, please contact us to make arrangements.

This instructor-led, live training in South Korea (available online or onsite) is designed for beginner-level developers looking to establish and utilize AWS Cloud9 for cloud-based initiatives.

Upon completing this training, participants will be capable of:

• Gaining a clear understanding of the AWS Cloud9 environment and its core components.
• Establishing their own AWS Cloud9 development workspace.
• Creating and executing simple applications within AWS Cloud9.
• Becoming familiar with the collaboration capabilities of AWS Cloud9.

This instructor-led, live training in South Korea (online or onsite) is designed for intermediate-level data scientists and analysts who wish to use AWS Cloud9 for streamlined data science workflows.

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

• Establish a data science environment in AWS Cloud9.
• Conduct data analysis using Python, R, and Jupyter Notebook within Cloud9.
• Connect AWS Cloud9 with AWS data services such as S3, RDS, and Redshift.
• Leverage AWS Cloud9 for developing and deploying machine learning models.
• Enhance cloud-based workflows for efficient data analysis and processing.

This instructor-led, live training in South Korea (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 South Korea (onsite or remote) is designed for engineers aiming 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 South Korea (online or onsite) is designed for developers seeking 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 leverage AWS IoT Greengrass to build, deploy, manage, secure, and monitor applications on intelligent devices.

This instructor-led, live training South Korea (onsite or remote) is designed for developers who want to use AWS Lambda to build and deploy services and applications to the cloud, without worrying about provisioning the execution environment (such as servers, VMs, containers, availability, scalability, and storage).

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

• Configure AWS Lambda to execute functions.
• Understand FaaS (Functions as a Service) and the advantages of serverless development.
• Build, upload, and execute AWS Lambda functions.
• Integrate Lambda functions with various event sources.
• Package, deploy, monitor, and troubleshoot Lambda-based applications.

This instructor-led, live training in South Korea (online or onsite) is designed for 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 session in South Korea (offered online or onsite) targets intermediate-level professionals seeking 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:

• Gain a clear understanding of IoT architecture and its core operational functions.
• Explore the fundamental concepts of "Things" and "Sensors," grasp the essence of the Internet of Things, and learn to map business requirements to effective IoT solutions.
• Obtain a comprehensive overview of IoT software layers, including hardware, firmware, middleware, cloud infrastructure, and mobile applications.
• Master key IoT functionalities such as fleet management, data visualization, SaaS-based Facility Management and Data Visualization, alerting and alarm systems, sensor and device onboarding, and geo-fencing.
• Learn the fundamentals of device-to-cloud communication via the MQTT protocol.
• Connect IoT devices to the AWS ecosystem using MQTT and AWS IoT Core.
• Integrate AWS IoT Core with AWS Lambda for computational tasks and Amazon DynamoDB for robust data storage.
• Establish seamless data communication between a Raspberry Pi and AWS IoT Core.
• Engage in hands-on lab exercises to build a smart device utilizing a Raspberry Pi and AWS IoT Core.
• Visualize sensor data and facilitate communication through web interfaces.