Amazon Redshift Training Course

This instructor-led, live training in Taiwan (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.

This instructor-led, live training in Taiwan (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.

AWS (Amazon Web Services) is a comprehensive cloud platform that provides a wide range of services including compute, storage, database, networking, security, and managed services to build scalable and resilient architectures.

This instructor-led, live training (available online or onsite) is designed for intermediate to advanced solutions architects and cloud engineers who aim to design secure, cost-effective, and well-architected solutions on AWS.

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

• Design scalable and highly available architectures on AWS using best-practice patterns.
• Select appropriate AWS services for compute, storage, database, and networking needs.
• Implement security, identity, and compliance controls in multi-account environments.
• Optimize cost and performance while ensuring operational excellence.
• Create high-level and detailed architecture diagrams and migration plans.

Format of the Course

• Interactive lectures and architectural discussions.
• Instructor-led console demonstrations and diagrams.
• Hands-on design workshops and scenario-based exercises.

Course Customization Options

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

This instructor-led, live training in Taiwan (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 Taiwan (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 Taiwan (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 tailored to assist professionals in becoming proficient with Amazon Web Services, enabling them to leverage the cloud effectively. This course uses real-life examples to help participants grasp the practical application of key concepts, including the fundamentals of cloud computing, 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.

AWS stands for Amazon Web Services, a comprehensive cloud platform that offers a wide range of services including compute, storage, database, networking, analytics, and managed services. These services enable organizations to build scalable and cost-effective solutions.

This instructor-led, live training (available online or onsite) is designed for beginner to intermediate-level business and technical stakeholders who want to gain a deep understanding of core AWS services, the value propositions of cloud computing, cost models, security fundamentals, and how to align AWS capabilities with organizational goals.

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

• Explain core AWS services and common cloud architectures.
• Evaluate the business benefits and cost models associated with migrating workloads to AWS.
• Identify suitable AWS services for addressing common business challenges (compute, storage, databases, networking, analytics).
• Understand basic security, compliance, and governance considerations in the AWS cloud environment.
• Develop a high-level migration or cloud adoption plan, considering cost and risk factors.

Format of the Course

• Interactive lectures and discussions.
• Demonstrations conducted by the instructor using the AWS console.
• Group exercises and scenario-based workshops.

Course Customization Options

• For a customized training session tailored to your specific needs, please contact us to arrange.

This instructor-led, live training in Taiwan (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 Taiwan (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 Taiwan (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 Taiwan (online or onsite) is aimed at 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 Taiwan (online or onsite) is aimed at 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:

• Introduction to the fundamentals of IoT architecture and its functions
• Understanding "Things," "Sensors," the Internet, and their alignment with business functions in IoT
• Key components of IoT software: hardware, firmware, middleware, cloud, and mobile applications
• IoT functionalities including fleet management, data visualization, SaaS-based fleet management and data visualization, alerts and alarms, sensor onboarding, device onboarding, and geo-fencing
• Basics of IoT device communication with the cloud using MQTT
• Connecting IoT devices to AWS using MQTT (AWS IoT Core)
• Integrating AWS IoT Core with AWS Lambda for data processing and storage
• Linking Raspberry PI to AWS IoT Core for basic data communication
• Handling alerts and events in IoT systems
• Sensor calibration techniques

Summary:

• Overview of the fundamental architecture and functionalities of IoT
• Understanding "Things," "Sensors," the Internet, and their alignment with business functions in IoT
• Key components of IoT software, including hardware, firmware, middleware, cloud, and mobile applications
• IoT functionalities such as fleet management, data visualization, SaaS-based fleet management and data visualization, alerts/alarms, sensor onboarding, device onboarding, and geo-fencing
• Basic principles of IoT device communication with the cloud using MQTT
• Connecting IoT devices to AWS through MQTT (AWS IoT Core)
• Integrating AWS IoT Core with AWS Lambda for computation and data storage using DynamoDB
• Linking a Raspberry PI to AWS IoT Core for simple data transmission
• Practical hands-on experience with Raspberry PI and AWS IoT Core to develop a smart device
• Data visualization from sensors and communication through a web interface