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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.

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…

This comprehensive learning plan is designed to equip you with the essential knowledge and skills to become an artificial intelligence and machine learning (AI/ML) practitioner proficient in leveraging AWS services and tools. This engaging…

AWS Billing Conductor is a specialized service for AWS Marketplace Channel Partners and organizations that need customized billing solutions. It creates a second, pro forma version of costs while maintaining the original AWS invoice. Learn how to…

AWS Card Clash is a 3D card game that helps learners gain knowledge of AWS Cloud architectures, and provides a new and engaging way to learn about AWS services and solution design. It uses strategic turn-based gameplay help individuals at all…

As a Generative AI Practitioner, you harness core AWS generative AI services—Amazon Bedrock, Amazon Q Developer, and Amazon SageMaker AI—to build enterprise-ready AI solutions. Through hands-on assignments, you gain practical experience with…

AWS Escape Room: Exam Prep for AWS Certified AI Practitioner (AIF-C01) (Demo) is a sample of a 4-hour 3D virtual escape room game for learners preparing for AWS Certified AI Practitioner (AIF-C01). Become a subscriber to unlock the full version of…

Learn how Amazon SageMaker mitigates the core challenges of implementing a machine learning pipeline. In this course, you learn how SageMaker notebooks and instances help power your machine learning workloads and review the key Amazon SageMaker…