AWS Architect Certification Training Course

This instructor-led, live training in Indonesia (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.

AWS Advanced Architecture refers to the design, setup and deployment of enterprise infrastructure and applications on AWS.

This instructor-led, live training (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.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

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

This instructor-led, live training in Indonesia (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.

AWS is Amazon Web Services, a comprehensive cloud platform offering compute, storage, database, networking, analytics, and managed services that enable organizations to build scalable and cost-effective solutions.

This instructor-led, live training (online or onsite) is aimed at beginner-level to intermediate-level business and technical stakeholders who wish to understand core AWS services, cloud value propositions, cost models, security basics, and how to align AWS capabilities with organizational objectives.

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

• Explain core AWS services and common cloud architectures.
• Assess the business benefits and cost models of migrating workloads to AWS.
• Identify appropriate AWS services for common business problems (compute, storage, databases, networking, analytics).
• Recognize basic security, compliance, and governance considerations in the AWS cloud.
• Outline a simple migration or cloud adoption plan with high-level cost and risk considerations.

Format of the Course

• Interactive lecture and discussion.
• Instructor-led demonstrations in the AWS console.
• Group exercises and scenario-based workshops.

Course Customization Options

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

This instructor-led, live training in Indonesia (online or onsite) is aimed at beginner-level developers who wish to set up and use AWS Cloud9 for cloud-based projects.

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

• Understand the AWS Cloud9 environment and its 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 Indonesia (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 Indonesia (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.

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

This instructor-led, live training (online or onsite) is aimed at beginner-level professionals who wish to understand AWS at a conceptual level and build a solid foundation 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.

Format of the Course

• 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 workshop prepares candidates for the AWS Certified Solutions Architect exam by mapping exam objectives to practical knowledge and hands-on scenarios.

This instructor-led, live training (online or onsite) is aimed at intermediate-level to advanced-level cloud practitioners who wish to consolidate architect-level knowledge, practise 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.

This 4 day course will provide:

• An understanding of the Core AWS services, uses, and basic architecture best practices.
• Proficiency in designing, developing, and deploying cloud-based solutions using AWS.
• Experience with developing and maintaining applications written for Amazon Simple Storage Service, Amazon DynamoDB, Amazon Simple Queue Service, Amazon Simple Notification Service, Amazon Simple Workflow Service, AWS Elastic Beanstalk, and AWS CloudFormation.

Audience:

Cloud engineers, Centre of excellence team, Window server administrators, Unix/Linux administrator, Storage administrators, Network administrators , Virtualization administrators.

On Completion of this training programme participants should able to deploy and use AWS services from a Developer standpoint.

This instructor-led, live training in Indonesia (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 Indonesia (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 Indonesia (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 Indonesia (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:

• Understanding IoT architecture and core functions.
• Exploring the concept of "Things" and "Sensors," the Internet of Things, and mapping business functions to IoT solutions.
• Comprehensive overview of IoT software components: hardware, firmware, middleware, cloud infrastructure, and mobile applications.
• Key IoT functions: Fleet management, data visualization, SaaS-based FM and DV, alerting/alarm systems, sensor and "thing" onboarding, and geo-fencing.
• Fundamentals of IoT device-to-cloud communication using MQTT.
• Connecting IoT devices to AWS via MQTT using AWS IoT Core.
• Integrating AWS IoT Core with AWS Lambda for computation and Amazon DynamoDB for data storage.
• Connecting a Raspberry Pi to AWS IoT Core for seamless data communication.
• Hands-on lab: Building a smart device using a Raspberry Pi and AWS IoT Core.
• Sensor data visualization and web interface communication.