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A Learning Plan pulls together training content for a particular role or solution, and organizes those assets from foundational to advanced. Use Learning Plans as a starting point to discover training that matters to you. This learning plan pulls…

A Learning Plan pulls together training content for a particular role or solution, and organizes those assets from foundational to advanced. Use Learning Plans as a starting point to discover training that matters to you. This learning plan pulls…

In this course, developers familiar with C# will learn how to use AWS App Runner to write and launch container images into the Amazon Web Services (AWS) Cloud. During the course, learners use .NET 6 to build Linux containers that run C# code.…

In this course, developers who use C# will learn how to create and deploy .NET applications in AWS Cloud using AWS Lambda. It includes step-by-step tutorials. This course includes tutorials.

This course helps developers, DevOps engineers, and solutions architects understand and work with containerized .NET applications and services using Amazon Elastic Container Service (Amazon ECS), AWS Fargate, and Amazon Elastic Container Registry…

This credential earner has applied technical knowledge of the practical and business applications of artificial intelligence (AI). The individual has the skills to apply AI-infused techniques and solutions across various business domains and use cases such as customer experience, supply chains, risk management and human resources, and more. The earner has also practiced essential workplace skills and explored AI career pathways.

This learning path is designed to provide a comprehensive understanding of AI. It includes modules that cover various aspects of AI, starting with foundational concepts and progressing to more advanced topics.

This credential earner has the key knowledge, skills, and values necessary to understand and work with artificial intelligence (AI), and is aware of the implications of AI for the future of work and society in general. The individual has applied their knowledge through an AI Design Challenge, using design thinking to create a prototype for an AI-powered solution that helps people improve their skills.

This learning plan is designed for software developers interested in building chatbots, search applications leveraging natural language understanding, and transcribing calls in a contact center environment. You can combine these three AI services…

This credential earner has applied knowledge of sustainability concepts, AI models, and use cases. The individual can work with data and AI models to gain insights about sustainability issues, in addition to applying AI ethics, critical thinking, and problem-solving to sustainability-related challenges. The earner is aware of sustainability-related job roles using AI technology and the skills required for success in these roles.

With Amazon API Gateway, you can create, publish, maintain, monitor, and secure APIs at any scale. This service connects applications to data, business logic, or functionality in your Amazon Web Services (AWS) environment or external systems. In…

This course was developed by members of AWS Technical Field Communities (TFC), an AWS community of technical experts. The content is intended to complement our standard training curriculum and augment your AWS learning journey. We are aware some…