Building Generative AI with AWS : Amazon Q Developer, Bedrock Inference, and SageMaker Canvas / with Noah Gift and Pragmatic AI Labs.

Format:

Video

Author/Creator:

Gift, Noah, speaker.

Contributor:

AI Labs, Pragmatic, speaker.

linkedin.com (Firm)

Language:

English

Genre:

Instructional films.

Educational films.

Physical Description:

1 online resource

Place of Publication:

Carpenteria, CA : linkedin.com, 2025.

System Details:

Latest version of the following browsers: Chrome, Safari, Firefox, or Internet Explorer. Adobe Flash Player Plugin. JavaScript and cookies must be enabled. A broadband Internet connection.

digital

Summary:

Learn about generating and deploying AI models on AWS as you explore foundation models and core concepts such as tokenization and multiple model architecture.

In this course, MLOps expert Noah Gift guides you through the world of generative AI on AWS. Build your understanding of tokenization, multiple model architecture, and how AI models are built and deployed. Discover the innovative Retrieval-Augmented Generation (RAG) technique and see its implementation on AWS using Bedrock knowledge agents. Get hands-on with Amazon Q developer tools, including installation and development using IntelliJ and VS Code, as well as features like the documentation assistant and code scanning. Dive deeper into AWS Bedrock with lessons on provisioned IO and evaluating prompts. Familiarize yourself with SageMaker Canvas, a robust environment for working with datasets and MLOps. By the end of this course, you will be proficient in leveraging various AWS tools to optimize your AI and machine learning workflows. This course was created by Pragmatic AI Labs LLC. We are pleased to host this training in our library.

Participant:

Presenter: Noah Gift

Notes:

1/16/202512:00:00AM

Access Restriction:

Restricted for use by site license.