5 Beginner AWS AI/ML Projects - Course Curriculum

5 Modules

29 Lessons

Self-paced Learning

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Module 1: Project 1: Building AI Agents with Amazon Bedrock

8 lessons

Course Introduction

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Project Overview

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1.1 Understanding AI Agents and Amazon Bedrock

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1.2 Create the Lambda Function

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1.3 Create the Bedrock Agent

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1.4 Create Action Groups and Functions

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1.5 Configure Permissions and Prepare Agent

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1.6 Test and Validate the Agent

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Module 2: Project 2: Building Responsible AI with Amazon Bedrock Guardrails

5 lessons

Project Overview

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2.1 Create Guardrail with Content Filters

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2.2 Add Denied Topics and Word Filters

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2.3 Configure PII Filters

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2.4 Test Guardrail Scenarios

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Module 3: Project 3: Deploying RAG Applications on AWS with Amazon Bedrock & Opensearch

5 lessons

Project Overview

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3.1 Setup an Opensearch Domain, Bedrock and S3

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3.2 Create Document Processing Lambda

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3.3 Create Query Lambda

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3.4 Test and Cleanup

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Module 4: Project 4: Serverless Document Processing with Amazon Textract

4 lessons

Project Overview

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4.1 Create S3 Bucket Structure

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4.2 Create Document Processing Lambda

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4.3 Test and Cleanup

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Module 5: Project 5: Building Recommendation Systems with Amazon Personalize

7 lessons

Project Overview

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5.1 Prepare the Dataset

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5.2 Create IAM Role and Permissions

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5.3 Create Dataset Group in Personalize and Import Data

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5.4 Create Solution and Train Model

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5.5 Deploy Campaign and Test

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5.6 Create Lambda API and Cleanup

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