Amazon Web Services (AWS) Training in Gaia

This instructor-led live training in Gaia (online or on-site) targets intermediate IT professionals who wish to learn how to leverage AWS tools and services to efficiently build, train, and deploy AI models.

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

• Comprehend the AI/ML services offered by AWS.
• 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 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.

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

Migrating to AWS involves the systematic assessment, planning, and execution of moving applications, data, and infrastructure from on-premises environments or other cloud providers into AWS. This process utilizes established tools, proven patterns, and specialized migration services to ensure a smooth transition.

This instructor-led live training, available either online or onsite, is designed for intermediate-level IT professionals and cloud practitioners. The course aims to equip participants with the skills necessary to plan and execute safe, cost-efficient migrations to AWS while minimizing business disruption.

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

• Evaluate application portfolios and define appropriate migration strategies and sequential waves.
• Utilize AWS discovery tools and migration services, such as MGN and DMS, to facilitate lift-and-shift and database migrations.
• Design robust network, security, and data transfer architectures that support migration activities.
• Execute test cutovers, validate the integrity of migrated workloads, and implement effective rollback plans.
• Optimize migrated workloads to ensure cost-efficiency, optimal performance, and operational readiness.

Course Format

• Interactive lectures and group discussions.
• Instructor-led demonstrations using the AWS console and Command Line Interface (CLI).
• Practical hands-on labs and a capstone migration simulation.

Customization Options

• To request tailored training for this course, please contact us to arrange your needs.

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

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

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

• Define migration strategies and assess workload cloud readiness using discovery tools and migration frameworks.
• Utilize AWS Application Migration Service (MGN) to carry out lift-and-shift server migrations securely and efficiently.
• 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.

Format of the Course

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

Course Customization Options

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

AWS provides a comprehensive cloud platform that delivers services for compute, storage, networking, monitoring, and automation, thereby 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 aim to operate, monitor, automate, and manage production workloads on AWS in a reliable and secure manner.

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

• Operating and monitoring AWS workloads by leveraging CloudWatch, CloudTrail, and observability best practices.
• Automating infrastructure provisioning and configuration using Infrastructure-as-Code tools such as Terraform and AWS CloudFormation.
• Designing and operating CI/CD pipelines, deployment strategies, and release automation for cloud services.
• Implementing operational security, identity controls, and runbook-driven incident response.
• Applying 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 capabilities empower organizations to construct 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. The course aims to help participants grasp core AWS services, cloud value propositions, cost models, fundamental security principles, and strategies for aligning AWS capabilities with organizational goals.

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

• Explaining core AWS services and standard cloud architectures.
• Evaluating the business advantages and cost structures associated with migrating workloads to AWS.
• Identifying suitable AWS services for common business challenges, including compute, storage, databases, networking, and analytics.
• Recognizing fundamental security, compliance, and governance aspects within the AWS cloud environment.
• Outlining a high-level migration or cloud adoption plan, including cost and risk considerations.

Course Format

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

Course Customization Options

• For customized training requests, please contact us to arrange a session.

AWS is Amazon’s cloud computing platform, offering a broad suite 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:

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

Course Format

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

Course Customization Options

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

This instructor-led, live training in Gaia (online or onsite) is aimed at 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.
• Optimise cloud resources to enhance performance and reduce costs.
• Implement advanced security and compliance strategies within AWS infrastructure.

This instructor-led, live training in Gaia (online or onsite) is designed for intermediate-level developers aiming to master the creation and deployment of microservices using AWS Cloud9 and other AWS services.

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

• Grasp the concept of microservices architecture and its advantages.
• Configure a microservices development environment on AWS Cloud9.
• Construct, test, and deploy microservices employing Docker and AWS services.
• Integrate AWS Lambda, ECS, and API Gateway with microservices.
• Implement DevOps practices to oversee microservices deployments.

This instructor-led, live training in Gaia (online or onsite) targets intermediate-level data scientists and analysts who wish to use AWS Cloud9 to streamline their data science workflows.

Upon completing 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.
• Integrate AWS Cloud9 with AWS data services such as S3, RDS, and Redshift.
• Utilize AWS Cloud9 for developing and deploying machine learning models.
• Optimize cloud-based workflows for efficient data analysis and processing.

The AWS Cloud Practitioner Essentials course serves as a foundational guide, equipping learners with a comprehensive grasp of AWS Cloud principles, services, security measures, architectural designs, pricing structures, and support mechanisms.

This live, instructor-led training, available either online or on-site, targets novice professionals eager to comprehend AWS from a conceptual standpoint, thereby establishing a robust basis for subsequent AWS education or certification pursuits.

Upon completing this training, participants will be capable of:

• Describing the fundamental global infrastructure of the AWS Cloud.
• Explaining core AWS services and their typical applications.
• Understanding cloud security and compliance frameworks within AWS.
• Navigating pricing models and support options.

Course Format

• Engaging lectures and discussions.
• Practical exploration of the AWS Console through guided exercises.
• Real-world activities and knowledge assessments aligned with the AWS exam syllabus.

Course Customization Options

• To arrange personalized training for this course tailored to your organization’s learning objectives or cloud strategy, please get in touch with us.

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

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

• Comprehending the fundamental concepts and advantages of AWS security audits.
• Utilizing AWS tools and services to conduct an AWS security audit.
• Analyzing and interpreting audit outcomes and recommendations.
• Applying audit findings to remediate identified issues.

This instructor-led, live training in Gaia (online or onsite) is aimed at intermediate to advanced full-stack developers who wish to utilise 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 Gaia (online or onsite) is targeted at advanced-level professionals aiming 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 Gaia (online or onsite) targets intermediate-level professionals eager to learn how to effectively build, deploy, and maintain serverless applications on AWS Cloud9 and AWS Lambda.

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

• Grasp the fundamentals of serverless architecture.
• Configure AWS Cloud9 for serverless application development.
• Create, test, and deploy serverless applications utilizing AWS Lambda.
• Integrate AWS Lambda with other AWS services, such as API Gateway and S3.
• Optimize serverless applications for both performance and cost-effectiveness.

This instructor-led, live training in Gaia (online or onsite) is designed for cloud engineers seeking to master and implement the more intricate components of AWS architecture. While the content aligns with many topics found in the AWS Certified Solutions Architect (Professional) level courses, this program is NOT intended to prepare participants for the certification exam. Instead, it is a hands-on, practical course that demonstrates how to execute the configurations, implementations, and deployments required by an AWS Solutions Architect in a live lab environment.

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 designed to empower professionals to master cloud solutions using Amazon Web Services. Delivered through real-world examples, this program enables participants to grasp the practical application of key concepts, including cloud computing fundamentals, AWS infrastructure, Infrastructure as a Service (IaaS), Platform as a Service (PaaS), Software as a Service (SaaS), private clouds, and cloud programming. Upon completion, learners will possess the skills to implement their own cloud solutions using services such as EC2 instances and S3 buckets.

This four-day course provides:

• A solid understanding of core AWS services, their applications, and fundamental architecture best practices.
• Proficiency in designing, developing, and deploying cloud-based solutions leveraging AWS.
• Practical experience in developing and maintaining applications utilizing Amazon Simple Storage Service (S3), Amazon DynamoDB, Amazon Simple Queue Service (SQS), Amazon Simple Notification Service (SNS), Amazon Simple Workflow Service (SWF), AWS Elastic Beanstalk, and AWS CloudFormation.

Target Audience:

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

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

This instructor-led, live training in Gaia (onsite or remote) is designed for engineers who want to deploy and manage IoT devices on AWS.

By the end of the course, 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 Gaia (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 Gaia offers a comprehensive overview of AWS products, services, and solutions. It is designed for individuals and teams who are:

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

Upon completion of this training, participants will have a clear understanding of the key components that constitute Amazon's cloud offering. Through hands-on exercises, discussions, and in-class deployments, participants will gain the practical experience and feedback needed to feel confident and prepared to execute their own live deployments on AWS.

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

• Activate AWS services to begin managing infrastructure.
• Understand and apply the concept of "infrastructure as code".
• Enhance quality and reduce the costs associated with deploying infrastructure.
• Create AWS CloudFormation Templates using YAML.

Summary:

• Grasping IoT architecture and its fundamental operations.
• Investigating the notions of "Things" and "Sensors," the Internet of Things (IoT), and aligning business processes with IoT solutions.
• A thorough examination of IoT software layers: hardware, firmware, middleware, cloud infrastructure, and mobile applications.
• Essential IoT functionalities: Fleet management, data visualization, SaaS-driven Fleet Management and Data Visualization, alerting and alarm systems, onboarding of sensors and "things," and geo-fencing.
• Core principles of IoT device-to-cloud communication via MQTT.
• Linking IoT devices to AWS through MQTT using AWS IoT Core.
• Integrating AWS IoT Core with AWS Lambda for computational tasks and Amazon DynamoDB for data storage.
• Establishing a connection between a Raspberry Pi and AWS IoT Core for efficient data exchange.
• Practical lab exercise: Developing a smart device leveraging Raspberry Pi and AWS IoT Core.
• Visualizing sensor data and enabling web interface communication.