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In this course, you will learn about the benefits, architecture, deployment, and additional features of the Scale-Out Computing on AWS solution. This course includes presentations, demonstrations, videos, and an assessment.

This Playlist is an unordered collection of supplemental labs that have relevance to the classroom training Building Batch Data Analytics Solutions on AWS. Students of that class may find the labs in this playlist to be useful hands-on practice.

In this course, you learn how to make infrastructure choices to support containerized applications running on Amazon Elastic Container Service (Amazon ECS) at an enterprise scale. You learn how to scope requirements based on your application,…

Amazon EventBridge is a serverless event bus that makes it easy to connect applications together using data from customers applications, integrated software-as-a-service (SaaS) applications, and AWS services. You can use this service to build…

This course is designed for application developers interested in building generative artificial intelligence (generative AI) applications using either the Amazon Bedrock APIs or AWS-LangChain integration. In this course, you will explore the…

Amazon SageMaker helps data scientists prepare, build, train, deploy, and monitor machine learning (ML) models. SageMaker brings together a broad set of capabilities, including access to distributed training libraries, open source and foundation…

How to Build an Open Source Software (OSS) Analytics Solutions with Azure HDInsight.

Modules in this learning path:

• Introduction Open Source Analytics Offering
• Hdinsight Configuration to Build Open Source Analytical Solutions
• Creating and Configuring Hdinsight Cluster
• Run Petabyte Level Oss Nosql Databases with Hdinsight Hbase
• Perform Advanced Streaming Data Transformations with Spark Kafka
• Perform Zero Etl Analytics Hdinsight Interactive Query
• Manage Enterprise Security in Hdinsight

Products: Azure Hdinsight

Roles: Data Engineer, Data Scientist

Level: Intermediate

Subjects: Cloud Computing

Duration: 306 minutes

Retrieval Augmented Generation (RAG) is a powerful technique that enhances the accuracy and relevance of AI-generated responses by combining information retrieval with text generation. In this course, you will explore how to build RAG solutions…

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 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 badge earner has completed all the learning activities included in this online learning experience, including hands-on experience, concepts, methods, and tools related to exploring the ethical adoption of AI technologies in the enterprise. The individual has demonstrated skills and understanding of the use of AI technologies for business, including: AI industry adoption trends, AI ethical considerations, Natural Language Processing, and Virtual Agents.

Building a Generative AI-Ready Organization is the last course in a three-part series of Generative AI Essentials for Business and Technical Decision Makers. If you have not done so already, we recommend you start with the first course in the…