Amazon Web Services (AWS) Training in Hsinchu

This instructor-led, live training in Hsinchu (online or onsite) is designed for IT professionals at an intermediate level who wish to learn how to leverage AWS tools and services to efficiently build, train, and deploy AI models.

Upon completing this training, participants will be able to:

• Gain a comprehensive understanding of the AI/ML services offered by AWS.
• Effectively set up and manage AI/ML environments on AWS.
• Acquire practical experience in building, training, and deploying AI models using Amazon SageMaker.
• Learn to apply various AWS AI services to address specific business use cases.

This workshop equips candidates for the AWS Certified Solutions Architect exam by linking exam objectives to practical knowledge and hands-on scenarios.

This instructor-led, live training (available online or onsite) targets intermediate to advanced cloud practitioners aiming to consolidate architect-level knowledge, practice exam-style questions, and build confidence for certification.

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

• Map AWS services and architectural patterns to exam domains and objectives.
• Design resilient, high-performing, secure, and cost-optimized architectures on AWS.
• Apply best practices from the Well-Architected Framework to real-world scenarios.
• Approach and solve exam-style multiple-choice and scenario questions with effective strategies.
• Identify personal study gaps and create a focused preparation plan for the certification exam.

Format of the Course

• Interactive lecture and domain mapping to the official exam blueprint.
• Hands-on lab demonstrations and guided architecture design exercises.
• Timed practice exams, question walkthroughs, and test-taking strategies.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

Migrating to AWS entails the assessment, planning, and transition of applications, data, and infrastructure from on-premises environments or other cloud providers into AWS, leveraging established tools, patterns, and migration services.

This instructor-led, live training (available online or onsite) is designed for intermediate-level IT professionals and cloud practitioners who aim to plan and execute secure, cost-efficient migrations to AWS with minimal impact on business operations.

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

• Evaluating application portfolios and defining migration strategies and phased waves.
• Utilizing AWS discovery tools and migration services (MGN, DMS) to execute lift-and-shift and data migrations.
• Designing network, security, and data transfer architectures to support migration activities.
• Conducting test cutovers, validating migrated workloads, and implementing rollback plans.
• Optimizing migrated workloads for cost efficiency, performance, and operational readiness.

Course Format

• Interactive lectures and discussions.
• Instructor-led demonstrations within the AWS console and CLI.
• Hands-on labs and a capstone migration scenario.

Course Customization Options

• To request a customized training version of this course, please contact us to make arrangements.

AWS Migration Essentials is a hands-on course that explores the fundamental steps, tools, and best practices for moving on-premises applications, servers, and databases to AWS.

This instructor-led, live training (available online or onsite) targets intermediate IT professionals and cloud practitioners who want to assess, plan, execute, and validate AWS migrations with minimal disruption to business operations.

Upon completing this training, participants will be able to:

• Define a migration strategy and evaluate workload cloud readiness using discovery tools and migration frameworks.
• Leverage AWS Application Migration Service (MGN) to conduct safe and efficient lift-and-shift server migrations.
• Plan and execute database migrations using AWS Database Migration Service with minimal downtime.
• Design network, security, and data transfer architectures to support migration and cutover activities.
• Validate migrated workloads, implement rollback plans, and apply post-migration optimization and cost controls.

Course Format

• Interactive lectures and discussions.
• Instructor-led demonstrations in the AWS console and CLI.
• Hands-on labs and a capstone migration scenario.

Customization Options

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

AWS serves as a comprehensive cloud platform that delivers essential services for compute, storage, networking, monitoring, and automation, thereby supporting robust, scalable, and resilient operations.

This instructor-led live training, available online or onsite, is designed for intermediate to advanced operations and platform engineers seeking to reliably and securely operate, monitor, automate, and manage production workloads on AWS.

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

• Operate and monitor AWS workloads utilizing CloudWatch, CloudTrail, and established observability best practices.
• Automate the provisioning and configuration of infrastructure through Infrastructure-as-Code tools, including Terraform and AWS CloudFormation.
• Design and manage CI/CD pipelines, deployment strategies, and release automation for cloud services.
• Implement operational security measures, identity controls, and runbook-driven incident response protocols.
• Apply best practices for cost management, backup, and disaster recovery within production cloud environments.

Format of the Course

• Interactive lectures and discussions.
• Instructor-led demonstrations using the console and CLI.
• Hands-on labs and scenario-based exercises.

Course Customization Options

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

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

This instructor-led live training, available both online and onsite, is designed for beginner to intermediate business and technical stakeholders who aim to understand fundamental AWS services, cloud value propositions, pricing models, essential security concepts, 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 architectures.
• Evaluate the business advantages and cost structures associated with migrating workloads to AWS.
• Identify suitable AWS services for typical business challenges across compute, storage, databases, networking, and analytics.
• Recognize fundamental security, compliance, and governance considerations within the AWS cloud environment.
• Draft a basic migration or cloud adoption plan incorporating 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

• To request a customized version of this course, please contact us to make arrangements.

AWS is Amazon's cloud computing platform, offering a broad spectrum of services for computing, storage, networking, and application integration.

This instructor-led live training (available online or onsite) is designed for beginner-level cloud professionals seeking to master AWS fundamentals through practical experience.

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

• Comprehend cloud computing concepts and AWS's global infrastructure.
• Deploy and configure compute, storage, and networking services within AWS.
• Implement IAM policies and adhere to security best practices.
• Integrate services to construct a basic cloud-based web application.

Course Format

• Interactive lectures and discussions.
• Extensive exercises and practice sessions.
• Hands-on implementation in a live lab environment.

Course Customization Options

• To arrange customized training for this course, please contact us.

This instructor-led, live training in Hsinchu (online or onsite) is designed for advanced-level cloud professionals who wish to master cloud infrastructure management and automation using AWS Cloud9 and AWS CDK.

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

• Set up and configure AWS Cloud9 for infrastructure management.
• Understand and apply AWS CDK to automate cloud resource provisioning.
• Design efficient and scalable cloud infrastructure solutions.
• Optimize cloud resources to improve performance and reduce costs.
• Implement advanced security and compliance strategies in AWS infrastructure.

This instructor-led, live training in Hsinchu (online or onsite) is geared toward intermediate-level developers who wish to master building and deploying microservices with AWS Cloud9 and other AWS services.

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

• Understand microservices architecture and its benefits.
• Set up a microservices development environment on AWS Cloud9.
• Build, test, and deploy microservices using Docker and AWS services.
• Integrate AWS Lambda, ECS, and API Gateway with microservices.
• Apply DevOps practices to manage microservices deployments.

This instructor-led, live training in Hsinchu (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.

AWS Cloud Practitioner Essentials is a foundational course designed to give participants a comprehensive understanding of AWS Cloud concepts, services, security, architecture, pricing, and support.

This instructor-led, live training (available online or onsite) targets beginner-level professionals seeking to grasp AWS at a conceptual level and establish a solid base for future AWS learning or certification.

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

• Describe the basic global infrastructure of the AWS Cloud.
• Explain key AWS services and their common use cases.
• Understand cloud security and compliance within AWS.
• Navigate pricing models and support plans.

Course Format

• Interactive lecture and discussion.
• Hands-on use of AWS Console in guided exercises.
• Practical activities and knowledge checks aligned with the AWS exam guide.

Course Customization Options

• To request a customized training for this course based on your organization’s learning goals or cloud strategy, please contact us to arrange.

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

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

• Comprehend the AWS Cloud9 environment and its core components.
• Establish their own AWS Cloud9 development workspace.
• Create and execute simple applications within AWS Cloud9.
• Familiarize themselves with the collaboration features of AWS Cloud9.

This instructor-led, live training in Hsinchu (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 Hsinchu (online or onsite) is aimed at beginner-level to intermediate-level IT professionals who wish to learn how to conduct an AWS security audit effectively and efficiently.

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

• Understand the core concepts and benefits of AWS security audit.
• Use AWS tools and services to perform an AWS security audit.
• Analyze and interpret the audit results and recommendations.
• Implement the audit findings and remediate the issues.

This instructor-led, live training in Hsinchu (online or onsite) targets intermediate to advanced full-stack developers who wish to utilize AWS Cloud9 to streamline their development workflows.

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

• Set up and configure AWS Cloud9 for full-stack development.
• Develop and debug front-end applications using Cloud9.
• Build and deploy back-end services using AWS Cloud9.
• Integrate Cloud9 with AWS services for advanced deployments.
• Collaborate with team members in a cloud-based development environment.

This instructor-led, live training in Hsinchu (online or onsite) is designed for advanced professionals seeking to deepen their understanding of DevOps practices and streamline development processes using AWS Cloud9.

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

• Setting up and configuring AWS Cloud9 for DevOps workflows.
• Implementing continuous integration and continuous delivery (CI/CD) pipelines.
• Automating testing, monitoring, and deployment processes using AWS Cloud9.
• Integrating AWS services such as Lambda, EC2, and S3 into DevOps workflows.
• Leveraging source control systems like GitHub or GitLab within AWS Cloud9.

This instructor-led, live training in Hsinchu (online or onsite) is designed for intermediate-level professionals aiming 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:

• Comprehend the fundamental principles of serverless architecture.
• Configure 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 both performance and cost-efficiency.

This instructor-led, live training in Hsinchu (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.

The on-demand AWS Architect Certification training course is crafted to equip professionals with the skills needed to leverage Amazon Web Services for cloud enablement. Through real-world examples, the course 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 capable of implementing cloud solutions using EC2 instances, S3 buckets, and other AWS resources.

This 4-day course provides:

• A solid understanding of core AWS services, their use cases, and fundamental architecture best practices.
• Competency in designing, developing, and deploying cloud-based solutions utilizing AWS.
• Hands-on experience in developing and maintaining applications leveraging Amazon Simple Storage Service, Amazon DynamoDB, Amazon Simple Queue Service, Amazon Simple Notification Service, Amazon Simple Workflow Service, AWS Elastic Beanstalk, and AWS CloudFormation.

Target Audience:

Cloud engineers, Centers of Excellence teams, Windows Server administrators, Unix/Linux administrators, storage administrators, network administrators, and virtualization administrators.

Upon completion of this training program, participants will be capable of deploying and utilizing AWS services from a developer's perspective.

This instructor-led, live training in Hsinchu (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 Hsinchu (onsite or remote) is aimed at developers who wish to use AWS Lambda to build and deploy services and applications to the cloud, without needing 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 Hsinchu provides an overview of AWS products, services, and solutions. It is aimed at individuals and teams who are:

• evaluating/preparing for an initial deployment of their IT infrastructure on AWS.
• evaluating/preparing to migrate their existing IT infrastructure to the AWS public cloud.

By the end of this training, participants will gain a clear understanding of the principal components that make up Amazon's cloud offering. The hands-on exercises, discussions, and in-class deployments will provide participants with the practice and feedback they need to feel comfortable and prepared to carry out their own live deployments to AWS.

This instructor-led, live training in Hsinchu (online or onsite) is aimed at technical professionals who wish to understand AWS products and services in order to make informed decisions about implementing AWS cloud solutions within their organization.

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

• Identify and understand the role of each service offered by AWS.
• Understand the terminology and concepts related to AWS.
• Navigate the AWS Management Console.
• Set up and manage team user accounts securely.
• Match AWS's services to an organization's problem and requirements.
• Make informed decisions about which AWS services to implement.
• Plan out a broad cloud solution strategy for an organization.

This instructor-led, live training in Hsinchu (online or onsite) is aimed at engineers who wish to use AWS CloudFormation to automate the process of managing AWS cloud infrastructure.

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

• Enable AWS services to get started managing infrastructure.
• Understand and apply the principle of "infrastructure as code".
• Improve quality and lower the costs of deploying infrastructure.
• Write AWS CloudFormation Templates using YAML.

Summary:

• Grasping IoT architecture and its fundamental functions.
• Examining the concepts of "Things" and "Sensors," the essence of the Internet of Things, and aligning business requirements with IoT solutions.
• Comprehensive review of IoT software layers: hardware, firmware, middleware, cloud infrastructure, and mobile applications.
• Core IoT capabilities: Fleet management, data visualization, SaaS-based Facility Management and Data Visualization, alerting and alarm systems, sensor and "thing" onboarding, and geo-fencing.
• Principles of IoT device-to-cloud communication using MQTT.
• Linking IoT devices to AWS via MQTT utilizing AWS IoT Core.
• Integrating AWS IoT Core with AWS Lambda for computation and Amazon DynamoDB for data storage.
• Establishing connectivity between a Raspberry Pi and AWS IoT Core for efficient data exchange.
• Practical laboratory session: Constructing a smart device using Raspberry Pi and AWS IoT Core.
• Visualizing sensor data and facilitating web interface communication.