QR-Codes for AWS training
GK4501 - AWS Technical Essentials
	In this introductory course, you will learn about AWS products, services, and common solutions. You will learn the fundamentals of identifying AWS services so that you can make informed decisions about IT solutions based on your business requirements.
GK4502 - Architecting on AWS
	Through a series of use case scenarios and practical learning, you’ll learn to identify services and features to build resilient, secure, and highly available IT solutions in the AWS Cloud. Expert AWS Instructors emphasize best practices using the AWS Well-Architected Framework and guide you through the process of designing optimal IT solutions, based on real-life scenarios. At the end of the course, you’ll practice building a solution and apply what you’ve learned with confidence.
GK1980 - Advanced Architecting on AWS
	Through a series of use case scenarios and practical learning, you'll explore AWS services that can be applied to solve architectural problems. You’ll find opportunities to combine your new knowledge with critical thinking and problem-solving skills. This course culminates in a final review project to reinforce what you’ve learned throughout the three days.
GK4503 - Cloud Operations on AWS (formerly Systems Operations on AWS)
	This course teaches system administrators, operators, and anyone performing day-to-day operations in the AWS Cloud how to install, configure, automate, monitor, secure, maintain, and troubleshoot the services, networks, and systems on AWS necessary to support business applications. The course also covers specific AWS features, tools, and best practices related to these functions.
GK4504 - Developing on AWS
	This course will help you learn how to use AWS services and developer tools, such as the AWS SDK and AWS CLI to develop secure and scalable cloud applications from an expert AWS instructor. You will explore how to interact with AWS using code and discuss key concepts, best practices, and troubleshooting tips. In this 3-day, classroom training course you will learn how to programmatically interact with AWS services to build web solutions.
GK4505 - Advanced developing on AWS
	This three-day course covers advanced development topics such as architecting for a cloud-native environment and deconstructing on-premises legacy applications and repackaging them into cloud-based, cloud-native architectures. It also covers how to apply the tenets of the Twelve-Factor Application methodology.
GK3337 - AWS Security Essentials
	AWS Security Essentials covers fundamental AWS Cloud security concepts, including AWS access control, data encryption methods, and how network access to your AWS infrastructure can be secured. Based on the AWS Shared Security Model, this course teaches where in the AWS Cloud you are responsible for implementing security. You’ll also learn what security-oriented services are available to you, as well as why and how the security services can help meet the security needs of your organization. This course enables you to dive deep, ask questions, work through solutions, and get feedback from AWS-accredited instructors with deep technical knowledge. This fundamental-level course is part of the AWS Training and Certification Security learning path.
GK3338 - Security Engineering on AWS
	Do you need to understand how to stay secure in the AWS Cloud? Security Engineering on AWS will enable you with the skills and knowledge to safeguard your organization’s reputation and profits, and improve security operations. This three-day, intermediate-level course is led by an expert AWS instructor who will guide you through the security practices that AWS recommends for enhancing the security of data and systems in the cloud. You will learn to efficiently use AWS security services including Amazon Security Lake, Amazon Detective, AWS Control Tower, AWS Secrets Manager, Amazon CloudWatch, Amazon GuardDuty, and more for automation, continuous monitoring and logging, and responding to security incidents.
GK4510 - Planning and Designing Databases on AWS
	Learn how to identify and design the most suitable AWS database solutions so you can modernize your data infrastructure with fully managed, purpose-built databases to save time and cost, improve performance and scale, and accelerate innovation. Intended for solutions architects, database architects, database developers, an expert AWS instructor will guide you through the features and characteristics of eleven databases including SQL services like Amazon RDS and Amazon Aurora, and NoSQL services such as Amazon Neptune, Amazon DynamoDB, Amazon DocumentDB, and more, as well as the design considerations that you should make while using them.
GK4511 - AWS Cloud Financial Management for Builders
	This course is for individuals who seek an understanding of how to manage, optimize, and estimate costs as you run workloads on AWS. You will learn how to implement architectural best practices, explore cost-optimization strategies, and design patterns to help you architect cost-efficient solutions on AWS.
GK4512 - Developing Serverless Solutions on AWS
	This course gives developers exposure to and practice with best practices for building serverless applications using AWS Lambda and other services in the AWS serverless platform. You’ll use AWS frameworks to deploy a serverless application in hands-on labs that progress from simpler to more complex topics. You will use AWS documentation throughout the course to develop authentic methods for learning and problem-solving beyond the classroom.
GK4513 - AWS Cloud Essentials for Business Leaders
	This course is for business leaders who seek an overall understanding of the fundamental concepts of cloud computing. Learn how a cloud strategy can help you meet business objectives. The course dives into the business value of the cloud through customer examples, exploring industry trends, and the Cloud Value Framework, which helps you understand the business value of building on AWS by assessing cost and value impact.
GK4514 - AWS Cloud Essentials for Business Leaders - Financial Services
	This course is for business leaders who seek an overall understanding of the fundamental concepts of cloud computing. Learn how a cloud strategy can help you meet business objectives. In this half-day, instructor-led course, you’ll explore the possibilities of cloud computing in banking, insurance, capital markets, payments, and financial technology. The course dives into the business value of the cloud through customer examples, exploring industry trends, and the Cloud Value Framework, which helps you understand the business value of building on AWS by assessing cost and value impact.
GK1979 - DevOps Engineering on AWS
	DevOps Engineering on AWS teaches you how to use the combination of DevOps cultural philosophies, practices, and tools to increase your organization’s ability to develop, deliver, and maintain applications and services at high velocity on AWS. This course covers continuous integration (CI), continuous delivery (CD), infrastructure as code, microservices, monitoring and logging, and communication and collaboration. Hands-on labs give you experience building and deploying AWS CloudFormation templates and CI/CD pipelines that build and deploy applications on Amazon Elastic Compute Cloud (Amazon EC2), serverless applications, and container-based applications. Labs for multi-pipeline workflows and pipelines that deploy to multiple environments are also included.
GK7376 - The Machine Learning Pipeline on AWS
	This course explores how to use the machine learning (ML) pipeline to solve a real business problem in a project-based learning environment. Students will learn about each phase of the pipeline from instructor presentations and demonstrations. They will then apply that knowledge to complete a project solving one of three business problems: fraud detection, recommendation engines, or flight delays. By the end of the course, students will have successfully built, trained, evaluated, tuned, and deployed an ML model using Amazon SageMaker that solves their selected business problem.
GK0630 - Practical Data Science with Amazon SageMaker
	As artificial intelligence and machine learning (AI/ML) are quickly becoming part of our day-to-day, it is becoming increasingly more important to understand how to collaborate efficiently with data scientists and build applications that integrate with ML. The Practical Science with Amazon SageMaker course will help you in your developer or DevOps engineer role understand the basics of ML and the steps involved in building ML models using Amazon SageMaker Studio. In this one-day, classroom training course an expert AWS instructor will walk you through how to prepare data and train, evaluate, tune, and deploy ML models.
GK7395 - MLOps Engineering on AWS
	Could your Machine Learning (ML) workflow use some DevOps agility? MLOps Engineering on AWS will help you bring DevOps-style practices into the building, training, and deployment of ML models by learning from an expert AWS instructor. In this 3-day, course you will learn how to address the challenges associated with hand-offs between data engineers, data scientists, software developers, and operations through the use of tools, automation, processes, and teamwork. By the end of the course, go from learning to doing by building and troubleshooting an ML pipeline.