Amazon Web Services (AWS) Training in Kuala Lumpur

This instructor-led, live training in Kuala Lumpur (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 workshop equips candidates for the AWS Certified Solutions Architect exam by aligning exam objectives with practical knowledge and hands-on scenarios.

Delivered as live instructor-led training (available online or onsite), this programme is designed for intermediate to advanced cloud practitioners who wish to consolidate architect-level expertise, practise exam-style questions, and build confidence for certification.

Upon completion 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.

Transitioning to AWS involves evaluating, preparing, and relocating applications, data, and infrastructure from on-premises environments or other cloud providers into AWS. This process utilizes established tools, architectural patterns, and migration services.

This guided, live training session (available online or at your location) is designed for IT professionals and cloud practitioners with intermediate skills who want to plan and carry out secure, cost-efficient migrations to AWS while minimizing business interruptions.

Upon completing this training, participants will be capable of:

• Evaluating application portfolios and establishing migration strategies and phases.
• Utilizing AWS discovery tools and migration services (MGN, DMS) to execute 'lift-and-shift' techniques and data migrations.
• Designing network, security, and transfer architectures to facilitate migration activities.
• Carrying out test cutovers, verifying 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 using the AWS console and CLI.
• Practical labs and a capstone migration scenario.

Customization Options

• To arrange customized training for this course, please get in touch with us.

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

Delivered via instructor-led live training (available online or on-site), this program targets intermediate IT professionals and cloud practitioners aiming to assess, plan, execute, and validate AWS migrations while ensuring minimal disruption to business operations.

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

• Establish migration strategies and evaluate workload readiness using discovery tools and established migration frameworks.
• Safely and efficiently conduct lift-and-shift server migrations utilizing AWS Application Migration Service (MGN).
• Plan and execute database migrations with AWS Database Migration Service, ensuring minimal downtime.
• Architect network, security, and data transfer solutions to support migration and cutover processes.
• Validate migrated workloads, prepare rollback plans, and implement post-migration optimization and cost management controls.

Course Format

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

Course Customization Options

• For bespoke training arrangements for this course, please reach out to us.

AWS provides a comprehensive cloud platform equipped with services for compute, storage, networking, monitoring, and automation, enabling robust, scalable, and resilient operations.

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

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

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

Format of the Course

• Interactive lecture and discussion.
• Instructor-led console and CLI demonstrations.
• Hands-on labs and scenario-based exercises.

Course Customization Options

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

AWS, or Amazon Web Services, is a comprehensive cloud platform that provides compute, storage, database, 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 business and technical stakeholders. The goal is to help participants grasp core AWS services, the value proposition of the cloud, cost structures, foundational security concepts, and how to align AWS capabilities with organizational goals.

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

• Describe key AWS services and common cloud architectures.
• Evaluate the business advantages and cost implications of migrating workloads to AWS.
• Select suitable AWS services for typical business challenges, including compute, storage, databases, networking, and analytics.
• Identify fundamental aspects of security, compliance, and governance within the AWS cloud.
• Draft a high-level migration or cloud adoption strategy, taking into account cost and risk factors.

Course Format

• Interactive lectures and discussions.
• Live demonstrations of the AWS console led by the instructor.
• Group activities and scenario-based workshops.

Customization Options

• For information on arranging customized training for this course, please reach out to us.

AWS serves as Amazon's cloud computing platform, offering a comprehensive suite of services for computing, storage, networking, and application integration.

This instructor-led live training, available online or onsite, is designed for cloud professionals at the beginner level who aim to master AWS fundamentals through practical experience.

Upon completing this training, participants will be equipped to:

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

Course Format

• Engaging lectures and interactive discussions.
• Extensive exercises and hands-on practice.
• Practical implementation within a live laboratory environment.

Customization Options

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

This instructor-led, live training in Kuala Lumpur (online or onsite) targets advanced-level cloud professionals who wish to achieve mastery in 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 Kuala Lumpur (online or onsite) is designed for intermediate-level developers aiming to master the construction and deployment of microservices using AWS Cloud9 and other AWS services.

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

• Comprehend the principles of microservices architecture and its associated advantages.
• Establish a microservices development environment within AWS Cloud9.
• Develop, test, and deploy microservices utilising Docker and AWS services.
• Integrate AWS Lambda, ECS, and API Gateway with microservices.
• Implement DevOps methodologies to oversee microservices deployments.

This instructor-led, live training in Kuala Lumpur (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.

The AWS Cloud Practitioner Essentials course serves as a foundational program intended to equip participants with a comprehensive overview of AWS Cloud concepts, services, security measures, architectural principles, pricing structures, and support options.

Delivered as an instructor-led, live training session (available online or onsite), this course is tailored for beginner-level professionals seeking to grasp AWS at a conceptual level and establish a robust foundation for future AWS learning or certification pursuits.

Upon completing this training, participants will be able to:

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

Format of the Course

• Interactive lectures and discussions.
• Hands-on exploration of the AWS Console through guided exercises.
• Practical activities and knowledge checks aligned with the AWS exam guide.

Course Customization Options

• To request customized training for this course that aligns with your organization’s learning goals or cloud strategy, please contact us to make arrangements.

This instructor-led, live training in Kuala Lumpur (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 Kuala Lumpur (online or onsite) is designed for novice developers eager to configure and utilise AWS Cloud9 for their cloud-based initiatives.

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

• Grasp the AWS Cloud9 environment and its key components.
• Establish their own AWS Cloud9 development workspace.
• Build and execute simple applications within AWS Cloud9.
• Become acquainted with AWS Cloud9’s collaboration capabilities.

This instructor-led, live training in Kuala Lumpur (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 Kuala Lumpur (online or onsite) is designed for IT professionals ranging from beginner to intermediate levels who wish to learn how to perform AWS security audits 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 Kuala Lumpur (online or on-site) is intended for intermediate-level cloud architects and developers who wish to acquire the knowledge and tools required to efficiently manage and optimize AWS costs, ensuring that cloud expenditure supports business objectives.

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

• Understand AWS pricing mechanisms and the contribution of different services to total costs.
• Learn how to apply cost-reduction measures, utilize reserved instances, and optimize resource usage.
• Develop the ability to establish, manage, and adhere to budgets within the AWS framework.

This instructor-led, live training in Kuala Lumpur (online or onsite) is designed for 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 Kuala Lumpur (online or onsite) is tailored for beginner to intermediate-level IT professionals who wish to acquire the knowledge and skills required to effectively secure Amazon Web Services (AWS) environments.

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

• Grasp the fundamental concepts of AWS Cloud Security and appreciate its significance within a cloud environment.
• Implement robust access controls, authentication mechanisms, and multi-factor authentication to secure AWS resources.
• Define and enforce security policies while monitoring AWS resources.

This instructor-led, live training in Kuala Lumpur (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 Kuala Lumpur (online or onsite) is designed for developers who wish to build serverless applications using services within the AWS serverless platform.

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

• Apply event-driven best practices when designing serverless applications using suitable AWS services.
• Construct serverless applications leveraging AWS services.
• Monitor, secure, and scale serverless applications deployed on AWS.
• Utilise various developer tools to configure and automate the deployment of serverless applications.
• Create and maintain a repository of serverless resources to support serverless application development.

This instructor-led, live training in Kuala Lumpur (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.

Amazon Elastic Kubernetes Service (EKS) is a fully managed, self-service Kubernetes offering from AWS. It is highly scalable and customizable, enabling Kubernetes deployments to mirror or seamlessly integrate with existing on-premise Kubernetes environments.

In this instructor-led live training, participants will gain the skills to set up and manage a production-grade container environment using Kubernetes on EKS.

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

• Configure and manage Kubernetes deployments on EKS
• Migrate existing Kubernetes workloads from on-premise infrastructures to the AWS cloud
• Integrate Kubernetes with third-party continuous integration (CI) tools
• Implement high availability and disaster recovery strategies within Kubernetes
• Understand and leverage tools for efficient EKS management

Audience

• Developers
• System Administrators
• DevOps Engineers

Course Format

• A blend of lectures, discussions, exercises, and extensive hands-on practice in a live lab environment.

Note

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

This instructor-led, live training (available online or onsite) is designed for engineers who wish to evaluate each of these services to make an informed decisions about which to deploy within their organization.

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

• Set up a development environment that includes all needed libraries, packages and frameworks needed to start developing.
• Set up, configure and deploy a series of demo containers using a number of different approaches.
• Understand the architectural and design differences among different Docker/Kubernetes solutions within AWS.
• Automate the deployment of Docker containers.
• Set up a continuous integration and deployment pipeline.
• Integrate Docker and Kubernetes into an existing continuous integration system.

This instructor-led, live training in Kuala Lumpur (online or onsite) targets 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 petabyte-scale cloud-based data warehouse service in AWS.

In this instructor-led, live training, participants will learn the fundamentals of Amazon Redshift.

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

• Install and configure Amazon Redshift
• Load, configure, deploy, query, and visualize data with Amazon Redshift

Audience

• Developers
• IT Professionals

Format of the course

• Part lecture, part discussion, exercises and heavy hands-on practice

Note

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

This instructor-led live training in Kuala Lumpur (online or onsite) is designed for developers who want to use Amazon S3 to enable cloud-based storage for their websites, web applications, and/or mobile applications.

This instructor-led, live training in Kuala Lumpur (online or onsite) is designed for cloud engineers who wish to understand and implement the more complex aspects of AWS architecture. The course covers many topics similar to those in AWS Certified Solutions Architect (Professional) level courses. However, this course is NOT intended to prepare participants for an exam. It 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 empower professionals with the skills needed to leverage Amazon Web Services for cloud enablement. Delivered through real-life examples, this program aids participants in grasping the practical application of core 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 services such as EC2 instances and S3 buckets.

This instructor-led, live training in Kuala Lumpur (online or onsite) is designed for DevOps engineers and developers who wish to use CodePipeline to automate release pipelines for the efficient updating of applications and infrastructure.

By the end of this training, participants will be able to utilize CodePipeline's features and tools to automate and configure workflows within software release processes.

This instructor-led, live training in Kuala Lumpur (online or onsite) is aimed at developers who wish to integrate a DynamoDB NoSQL database into a web application hosted on AWS.

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

• Set up the necessary development environment to start integrating data into DynamoDB.
• Integrate DynamoDB into web applications and mobile applications.
• Move data in AWS with AWS services.
• Implement operations with AWS DAX.

Who Should Attend:

Cloud engineers, solution architects, members of the centre of excellence team, Windows server administrators, Unix/Linux administrators, storage administrators, network administrators, and virtualization administrators.

Course Objectives:

This course is designed to equip you with the skills to:

• Grasp the core concepts and practices underpinning the DevOps methodology.
• Design and implement AWS infrastructure that supports one or more DevOps-driven development projects.
• Leverage AWS CloudFormation and AWS OpsWorks to deploy the infrastructure required to establish development, testing, and production environments for software projects.
• Utilize AWS CodeCommit and explore various options for enabling a Continuous Integration environment on AWS.
• Design and implement Continuous Integration and Delivery pipelines using AWS CodePipeline.
• Implement common Continuous Deployment use cases using AWS technologies, such as blue/green deployment and A/B testing.
• Distinguish between the various application deployment technologies available on AWS (including AWS CodeDeploy, AWS OpsWorks, AWS Elastic Beanstalk, Amazon EC2 Container Service, and Amazon EC2 Container Registry) and determine which technology is best suited for a specific scenario.
• Optimize applications delivered on AWS for high performance and use AWS tools to monitor your applications and environment for potential issues.

Over the course of four days, this training program delivers:

• A solid grasp of core AWS services, their practical applications, and fundamental architectural best practices.
• Practical proficiency in designing, developing, and deploying cloud-native solutions utilizing AWS technologies.
• 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.

Intended Audience:

This course is tailored for cloud engineers, Centre of Excellence team members, Windows Server administrators, Unix/Linux administrators, storage administrators, network administrators, and virtualization specialists.

Upon completing this training programme, participants will be equipped to deploy and utilize AWS services effectively from a developer’s perspective.

This instructor-led, live training in Kuala Lumpur (online or onsite) is aimed at engineers who wish to use Amazon ECS to deploy and scale containerised applications.

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

• Create a containerised application running on Amazon ECS.
• Understand how ECS Clusters and the ECS Agent work.
• Auto-scale a containerised application.
• Automate the deployment process.
• Integrate the Docker application deployment process with new or existing Continuous Integration workflows.

This instructor-led live training in Kuala Lumpur (online or onsite) is designed for engineers who wish to use Amazon EKS to deploy and scale containerized applications across AWS managed Kubernetes clusters.

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

• Provision a Kubernetes cluster based on EKS.
• Create and execute containerized applications on Amazon EKS.
• Auto-scale containerized applications.
• Automate the deployment process.
• Integrate EKS-based applications into new or existing Continuous Integration workflows.

This instructor-led, live training in Kuala Lumpur (onsite or remote) is designed for 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 Kuala Lumpur (online or onsite) is designed for 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 Kuala Lumpur (onsite or remote) is designed for developers who wish to use AWS Lambda to build and deploy services and applications to the cloud, without worrying about provisioning the execution environment (servers, VMs and containers, availability, scalability, storage, etc.).

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

• Configure AWS Lambda to execute a function.
• Comprehend FaaS (Functions as a Service) and the benefits 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 Kuala Lumpur 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 have 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 Kuala Lumpur (online or onsite) is designed for developers who wish to install, configure, and manage AWS RoboMaker capabilities to create, simulate, and deploy applications for robots, autonomous vehicles, and devices.

By the end of this training, participants will be able to use AWS RoboMaker to build, simulate, deploy, manage, test, and monitor robot applications.

This instructor-led live training in Kuala Lumpur (online or onsite) is aimed at data scientists and developers who wish to create and train machine learning models for deployment into production-ready hosting environments.

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

• Use notebook instances to prepare and upload data for training.
• Train machine learning models using training datasets.
• Deploy trained models to an endpoint to create predictions.

This instructor-led, live training in Kuala Lumpur (online or onsite) is aimed at technical persons who wish to understand AWS products and services so as to make an informed decision about how to implement AWS cloud solutions within their organization.

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

• Identify and understand the role of each of the services 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 Kuala Lumpur (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:

• Understanding the fundamental principles and architecture of IoT
• Exploring the roles of 'Things' and 'Sensors', their connectivity to the internet, and their alignment with business processes
• An overview of key IoT software layers: hardware, firmware, middleware, cloud infrastructure, and mobile applications
• Core IoT capabilities: fleet management, data visualization, SaaS-based fleet and data visualization tools, alerting systems, sensor and device onboarding, and geofencing
• Foundations of IoT device-to-cloud communication using the MQTT protocol
• Integrating IoT devices with AWS via MQTT and AWS IoT Core
• Linking AWS IoT Core with AWS Lambda for data computation and storage within DynamoDB
• Establishing connections between Raspberry Pi devices and AWS IoT Core for efficient data exchange
• Practical application: Constructing a smart device using Raspberry Pi and AWS IoT Core
• Visualizing sensor data and enabling web interface communication

This instructor-led, live training in Kuala Lumpur (online or onsite) is designed for engineers who wish to deploy Machine Learning workloads to an AWS EC2 server.

By the conclusion of this training, participants will be capable of:

• Installing and configuring Kubernetes, Kubeflow, and other required software on AWS.
• Using EKS (Elastic Kubernetes Service) to simplify the process of initializing a Kubernetes cluster on AWS.
• Creating and deploying a Kubernetes pipeline for automating and managing ML models in production.
• Training and deploying TensorFlow ML models across multiple GPUs and machines operating in parallel.
• Leveraging other AWS managed services to extend an ML application.

This instructor-led live training (available online or onsite) is designed for engineers who wish to utilize Terraform on AWS to plan and build cloud infrastructure.

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

• Install and configure Terraform on AWS.
• Implement an "infrastructure as code" approach to managing AWS cloud environments.
• Create, launch, and dismantle infrastructure from within a single tool.
• Write declarative configuration files that can be managed like any other source code in a version control system.
• Quickly update configuration files for effectively responding to changing compute resource needs.
• Collaborate with other infrastructure engineers by sharing configuration files in a common code repository.
• Improve transparency in the infrastructure procurement process.