This course is designed to help IT business and technical professionals understand effective strategies for migrating from VMware to the Amazon Web Services (AWS) cloud. Whether you are managing workloads, network infrastructure, designing a cloud architecture, or just trying to get awareness on migration strategies, this course will guide you through the entire migration process, from initial assessment to post-migration optimization.

⛔️ This has been decommissioned by AWS.

Alternatively, you can check other courses from the AWS Skill Builder site by going to this link: https://skillbuilder.aws/

In this course, you will explore two techniques to improve the performance of a foundation model (FM): Retrieval Augmented Generation (RAG) and fine-tuning. You will learn about Amazon Web Services (AWS) services that help store embeddings with vector databases, the role of agents in multi-step tasks, define methods for fine-tuning an FM, how to prepare data for fine-tuning, and more.

Planning a Generative AI Project is the second course in the three-part series called Generative AI Essentials for Business and Technical Decision Makers. If you have not done so already, start with the first course in the series, Introduction to Generative AI - Art of the Possible.

This course introduces requirements to determine if machine learning (ML) is the appropriate solution to a business problem.

In this interactive digital course, you will learn about the history and lineage of PostgreSQL, as well as its database basics and other PostgreSQL commands.

⛔️ This has been decommissioned by AWS.

Alternatively, you can check other courses from the AWS Skill Builder site by going to this link: https://skillbuilder.aws/

In this course, you will learn about responsible AI practices. First, you will be introduced to what responsible AI is. You will learn how to define responsible AI, understand the challenges that responsible AI attempt to overcome and explore the core dimensions of responsible AI. Then, you will dive into some topics for developing responsible AI systems. You will be introduced to the services and tools that AWS offers to help you with responsible AI. You will also learn about responsible AI considerations for selecting a model and preparing data for your AI systems. Finally, you learn about transparent and explainable models. You will gain a solid understanding for what it means for a model to be transparent and explainable. You will also explore tradeoff considerations for transparent models and the principles of human-centered design for explainable AI.

In this course, you will learn how to do the following: Identify and describe common governance and compliance considerations for AI systems, Describe the AWS services that assist with applying governance controls and achieving compliance objectives, Describe common data governance strategies, Describe common approaches for implementing governance strategies, List and describe security and privacy considerations for AI systems, Describe AWS services and features for securing AI systems, Describe tasks like source citation and documenting data origins, and lastly, Describe best practices for secure data engineering.

In this course, we will discuss how to build and continuously improve machine learning models. Topics include the following elements of data science: problem formulation, exploratory data analysis, feature engineering, model training, tuning and debugging, as well as model evaluation and productionizing.

Do you know all about internet gateways and Network Address Translation (NAT) gateways, but when it comes to other gateway types, you start to struggle? Then this course is for you. You will learn about the different networking gateways that Amazon Web Services (AWS) provides. You will also go through scenarios where each can be used, and untangle when to use which gateway for AWS Direct Connect.

⛔️ This has been decommissioned by AWS.

Alternatively, you can choose other Generative AI-related courses from the AWS Skill Builder site by going to this link: https://skillbuilder.aws/search?searchText=Generative+AI&page=1&isValidSearchText=true

Welcome to Use sponsored ads to help grow your brand. This course provides an overview of the available products you can use to help you grow your brand on Amazon and achieve your advertising objectives by using multiple advertising solutions in conjunction to engage shoppers at every stage of the journey.

⛔️ This has been decommissioned by AWS.

Alternatively, you can use the course from the AWS Skill Builder site by going to this link: AWS Skill Builder