This unit guides students through configuring AWS tooling and Amazon Bedrock to develop, test, and deploy generative AI applications. Learners will set up CLI and Bedrock environments, use textual and multimodal models via APIs with shot-based inference strategies, and integrate access control and broader AWS services into end-to-end solutions.
Learning Objectives
- Analyze Amazon Bedrock capabilities and the AWS ecosystem to select appropriate services and architectures for generative AI solution requirements
- Apply AWS CLI and Bedrock environment configuration steps to provision and validate a working development environment for generative AI workloads
- Demonstrate use of textual and multimodal foundational models via APIs, implementing zero-, one-, and few-shot inference and crafting prompts for multimodal inputs
- Evaluate and integrate access control management and supporting AWS services to build a secure, end-to-end generative AI solution
Curriculum
- 1 Section
- 9 Lessons
- 30 hours
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- Unit 2 — Bedrock Setup and Integration9
- 1.1Next Steps: Configuring the AWS CLI20 mins
- 1.2Tech Setup for Using Generative AI on AWS20 mins
- 1.3Learning About Zero-, One- and Few-Shot Inference20 mins
- 1.4Using Textual Models Through the API20 mins
- 1.5Creating Prompts for Multimodal Foundational Models20 mins
- 1.6Integrating Access Control Management20 mins
- 1.7Leveraging the AWS Ecosystem in an End-to-End Solution20 mins
- 1.8Amazon Bedrock Capabilities20 mins
- 1.9Configuring Your Bedrock Environment20 mins
Instructor
Free
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