Amazon Web Services (AWS) Training in Varna

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

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

• Understand the AI/ML services provided by AWS.
• 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 certification by aligning exam objectives with practical expertise and real-world applications.

Delivered by an expert instructor through live sessions (either online or in-person), this training is designed for intermediate to advanced cloud professionals looking to solidify their architectural knowledge, practice exam-style questions, and gain confidence for their certification.

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

• Correlate AWS services and architectural patterns with specific exam domains and objectives.
• Design architectures on AWS that are resilient, high-performing, secure, and cost-effective.
• Apply best practices from the Well-Architected Framework to practical situations.
• Strategically approach and solve multiple-choice and scenario-based exam questions.
• Identify personal knowledge gaps and develop a targeted preparation plan for the certification exam.

Course Format

• Interactive lectures and alignment of content with the official exam blueprint.
• Guided architecture design exercises and hands-on lab demonstrations.
• Timed practice exams, detailed question reviews, and test-taking strategies.

Customization Options

• For personalized training arrangements for this course, please contact us.

AWS migration involves evaluating, organizing, and transferring applications, data, and infrastructure from on-premises environments or other cloud providers to AWS, utilizing established tools, architectural patterns, and specialized migration services.

This instructor-led live training (available online or onsite) targets intermediate IT professionals and cloud practitioners aiming to plan and execute secure, cost-efficient migrations to AWS while minimizing business impact.

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

• Evaluate application portfolios and define migration strategies and phased waves.
• Utilize AWS discovery tools and migration services (MGN, DMS) for lift-and-shift and database migrations.
• Architect networking, security, and data transfer solutions to support migration efforts.
• Conduct test cutovers, validate migrated workloads, and establish rollback procedures.
• Optimize migrated workloads for cost efficiency, performance, and operational stability.

Course Format

• Interactive lectures and group discussions.
• Live demonstrations within the AWS console and CLI.
• Practical hands-on labs and a capstone migration simulation.

Customization Options

• For customized training requirements, please reach out to us to arrange.

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) is designed for intermediate-level IT professionals and cloud practitioners who want to assess, plan, execute, and validate migrations to AWS with minimal disruption to business operations.

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

• Define a migration strategy and evaluate workloads for cloud readiness using discovery tools and migration frameworks.
• Use AWS Application Migration Service (MGN) to carry out lift-and-shift server migrations safely 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 robust cloud platform equipped with services for compute, storage, networking, monitoring, and automation, all designed to support highly scalable and resilient operations.

This instructor-led live training, available either online or onsite, targets 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 able to:

• Operate and monitor AWS workloads by leveraging CloudWatch, CloudTrail, and industry-best observability practices.
• Automate infrastructure provisioning and configuration using Infrastructure-as-Code (IaC) tools like 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 procedures.
• Apply cost management, backup, and disaster recovery best practices within production cloud environments.

Course Format

• Interactive lectures and group discussions.
• Guided demonstrations of AWS Console and CLI tools by the instructor.
• Practical hands-on labs and scenario-based exercises.

Customization Options

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

AWS, or Amazon Web Services, is a comprehensive cloud platform that provides compute, storage, database, networking, analytics, and managed services, enabling organizations to develop scalable and cost-effective solutions.

This instructor-led live training, available online or onsite, targets beginner to intermediate business and technical stakeholders who want to grasp core AWS services, cloud value propositions, cost models, security fundamentals, and how to align AWS capabilities with organizational goals.

Upon completing 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 common business challenges in compute, storage, databases, networking, and analytics.
• Recognize fundamental security, compliance, and governance considerations within the AWS cloud.
• Outline a simple migration or cloud adoption plan including high-level cost and risk assessments.

Course Format

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

Customization Options

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

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 either online or on-site, is designed for beginner-level cloud professionals eager to master AWS fundamentals through practical application.

Upon completing this training, participants will be equipped to:

• Grasp cloud computing principles and the structure of 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 group discussions.
• Extensive exercises and practical drills.
• Hands-on implementation within a live-lab environment.

Course Customization Options

• For customized training tailored to your specific needs, please reach out to us to arrange it.

Available as instructor-led, live training in Varna (online or onsite), this course targets advanced-level cloud professionals seeking to master infrastructure management and automation using AWS Cloud9 and AWS CDK.

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

• Install and configure AWS Cloud9 for effective infrastructure management.
• Comprehend and utilize AWS CDK to automate the provisioning of cloud resources.
• Architect efficient and scalable cloud infrastructure solutions.
• Optimize cloud resources to enhance performance and minimize costs.
• Apply advanced security and compliance measures within AWS infrastructure.

Delivered as an instructor-led, live training session in Varna (online or in-person), this course targets intermediate developers eager to master the construction and deployment of microservices using AWS Cloud9 and other AWS services.

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

• Gaining a clear understanding of microservices architecture and its associated advantages.
• Establishing a microservices development environment within AWS Cloud9.
• Constructing, testing, and deploying microservices utilizing Docker and AWS services.
• Integrating microservices with AWS Lambda, ECS, and API Gateway.
• Applying DevOps methodologies to effectively manage microservices deployments.

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

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 Varna (online or onsite) is designed for intermediate-level cloud architects and developers who seek to acquire the knowledge and practical skills needed to efficiently manage and optimize AWS expenses, ensuring that cloud spending aligns with broader business goals.

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

• Grasp the fundamentals of AWS pricing and understand how various services impact total costs.
• Master techniques for implementing cost-saving strategies, leveraging reserved instances, and optimizing resource utilization.
• Acquire the ability to create, manage, and enforce budgets within the AWS ecosystem.

This instructor-led, live training in Varna (online or onsite) is designed for intermediate to advanced full-stack developers who aim to utilize AWS Cloud9 to optimize their development workflows.

Upon completion 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 Varna (online or onsite) is tailored for beginner to intermediate-level IT professionals aiming to acquire the knowledge and skills required to effectively secure Amazon Web Services (AWS) environments.

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

• Understanding the core principles of AWS Cloud Security and its significance in a cloud environment.
• Implementing effective access controls, authentication mechanisms, and multi-factor authentication to secure AWS resources.
• Defining and enforcing security policies and monitoring AWS resources.

This instructor-led, live training in Varna (online or onsite) targets advanced 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 Varna (available online or on-site) targets developers who intend to build serverless applications using services within the AWS serverless platform.

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

• Implement event-driven best practices in the design of serverless applications by choosing appropriate AWS services.
• Develop serverless applications utilizing AWS services.
• Monitor, secure, and scale serverless applications on AWS.
• Employ various developer tools to configure and automate serverless application deployment.
• Create and maintain a list of serverless resources to support serverless application development.

This instructor-led, live training in Varna (online or onsite) is designed for 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.

EKS is a self-managed Kubernetes-as-a-service offering from AWS. EKS is fully scalable and customizable and allows a Kubernetes deployment to mimic and/or integrate with an existing on-premise Kubernetes setup.

In this instructor-led, live training, participants will learn how to set up and manage a production-scale container environment using Kubernetes on EKS.

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

• Configure and manage Kubernetes on EKS
• Migrate an existing Kubernetes environment from on-premise to AWS cloud
• Integrate Kubernetes with third-party continuous integration (CI) software
• Ensure high availability and disaster recovery in Kubernetes
• Understand and adopt the tools available to efficiently manage EKS

Audience

• Developers
• System Administrators
• DevOps Engineers

Format of the Course

• Part lecture, part discussion, exercises and heavy hands-on practice in a live-lab environment.

Note

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

This instructor-led, live training in (online or onsite) is aimed at 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 Varna (online or onsite) is designed for cloud engineers and developers who aim to use CloudFormation for managing infrastructure resources within the AWS ecosystem.

By the conclusion 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 scalable, cloud-based data warehousing service provided by AWS.

This instructor-led live training introduces participants to the core principles of Amazon Redshift.

Upon completion of this course, attendees will be equipped to:

• Install and set up Amazon Redshift
• Load, configure, deploy, query, and visualize data using Amazon Redshift

Target Audience

• Developers
• IT Professionals

Course Format

• A combination of lectures, discussions, exercises, and extensive hands-on practice

Note

• For personalized training options, please reach out to us to make arrangements.

This instructor-led, live training in Varna (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.

This instructor-led, live training in Varna (online or onsite) is designed for cloud engineers who wish to understand and implement the more complex aspects of AWS architecture. The course covers topics similar to those found in AWS Certified Solutions Architect (Professional) level courses. However, this course is NOT intended to prepare participants for the certification exam. It is a hands-on, practical course that demonstrates how to implement the configurations, implementations, and deployments an AWS Solutions Architect would need to carry out within 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 program is tailored to empower professionals with cloud expertise through Amazon Web Services. Featuring real-world scenarios, the course enables participants to grasp the practical application of key concepts, including cloud computing fundamentals, 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 deploy their own cloud-based solutions using EC2 instances, S3 buckets, and other essential tools.

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

By the end of this training, participants will be able to use CodePipeline features and tools to automate and configure workflows in software release workflows.

This instructor-led, live training in Varna (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.

Target Audience:

Cloud engineers, Solution architects, Centers of Excellence teams, Windows Server administrators, Unix/Linux administrators, Storage administrators, Network administrators, and Virtualization administrators.

Course Objectives:

This course is designed to teach you how to:

• Apply the core concepts and best practices of the DevOps methodology.
• Design and implement AWS infrastructure that supports one or more DevOps development projects.
• Utilize AWS CloudFormation and AWS OpsWorks to deploy the infrastructure required to create development, test, and production environments for software projects.
• Use AWS CodeCommit and explore the various options for establishing a Continuous Integration environment on AWS.
• Design and implement a Continuous Integration and Delivery pipeline on AWS using AWS CodePipeline.
• Implement common Continuous Deployment use cases using AWS technologies, including blue/green deployment and A/B testing.
• Differentiate among the various application deployment technologies available on AWS (such as AWS CodeDeploy, AWS Opsworks, AWS Elastic Beanstalk, Amazon EC2 Container Service, and Amazon EC2 Container Registry) and select the most suitable technology for specific scenarios.
• Optimize applications delivered on AWS for high performance and leverage AWS tools and technologies to monitor your application and environment for potential issues.

This four-day program is designed to equip participants with:

• A solid grasp of core AWS services, their applications, and fundamental architectural best practices.
• The skills necessary to design, develop, and deploy cloud solutions utilizing AWS.
• Practical 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, members of Center of Excellence teams, Windows Server administrators, Unix/Linux administrators, Storage administrators, Network administrators, and Virtualization administrators.

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

This instructor-led, live training in Varna (online or onsite) is designed for engineers who want to use Amazon ECS for deploying and scaling containerized applications.

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

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

This instructor-led, live training in Varna (online or onsite) targets engineers seeking to use Amazon EKS to deploy and scale containerized applications across AWS-managed Kubernetes clusters.

Upon completing this training, participants will be able to:

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

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

Upon completion of this training, participants will be equipped to construct an IoT platform encompassing the deployment and management of a backend, gateway, and devices on the AWS infrastructure.

This instructor-led, live training in Varna (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 Varna (onsite or remote) is designed for developers who want 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, 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 various event sources.
• Package, deploy, monitor, and troubleshoot Lambda-based applications.

This instructor-led, live training in Varna provides an overview of AWS products, services, and solutions. It is targeted at individuals and teams who are:

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

By the conclusion of this training, participants will possess a clear understanding of the primary components that make up Amazon's cloud offerings. The hands-on exercises, discussions, and in-class deployments will equip participants with the practice and feedback needed to feel comfortable and ready to perform their own live deployments on AWS.

This instructor-led, live training in Varna (online or onsite) is aimed at developers who wish to install, configure, and manage AWS RoboMaker capabilities to create, simulate, and deploy applications for robots and 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 Varna (online or onsite) targets 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 Varna (online or onsite) is targeted at technical professionals who want to understand AWS products and services 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 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 Varna (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:

• Gaining a clear understanding of IoT architecture and its essential functions.
• Exploring the concepts of connected "Things" and sensors, understanding how the Internet of Things operates, and aligning business needs with appropriate IoT solutions.
• Receiving a comprehensive breakdown of IoT software layers, including hardware, firmware, middleware, cloud infrastructure, and mobile interfaces.
• Examining critical IoT capabilities such as fleet management, data visualization, SaaS-based facility and data visualization, alert mechanisms, device onboarding, and geo-fencing.
• Mastering the fundamentals of device-to-cloud communication using the MQTT protocol.
• Learning how to connect IoT devices to AWS via MQTT, utilizing AWS IoT Core.
• Integrating AWS IoT Core with AWS Lambda for computational tasks and Amazon DynamoDB for efficient data storage.
• Establishing connectivity between a Raspberry Pi and AWS IoT Core to enable seamless data exchange.
• Participating in a practical lab session: constructing a smart device using a Raspberry Pi paired with AWS IoT Core.
• Visualizing sensor data and managing communication through a web interface.

This instructor-led, live training in Varna (online or on-site) is aimed at engineers who wish to deploy Machine Learning workloads to an AWS EC2 server.

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

• Install and configure Kubernetes, Kubeflow and other needed software on AWS.
• Use EKS (Elastic Kubernetes Service) to simplify the work of initializing a Kubernetes cluster on AWS.
• Create and deploy a Kubernetes pipeline for automating and managing ML models in production.
• Train and deploy TensorFlow ML models across multiple GPUs and machines running in parallel.
• Leverage other AWS managed services to extend an ML application.

This instructor-led live training (available online or onsite) targets engineers seeking to leverage Terraform on AWS to plan and construct cloud infrastructure.

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

• Installing and configuring Terraform within an AWS environment.
• Adopting an "infrastructure as code" methodology for managing AWS cloud environments.
• Creating, launching, and dismantling infrastructure using a unified tool.
• Authoring declarative configuration files that can be version-controlled like standard source code.
• Rapidly updating configuration files to respond effectively to fluctuating compute resource requirements.
• Collaborating with fellow infrastructure engineers by sharing configuration files within a shared code repository.
• Enhancing transparency throughout the infrastructure procurement process.