5 AWS Projects To Become a Cloud AI/ML Engineer

5 AWS Projects To Become a Cloud AI/ML Engineer

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Complete Step-By-Step Guide to five AWS Projects to help you get hired as a Cloud AI/ML Engineer.

Build these high-quality projects, and add them to your portfolio!

These projects are designed to boost your Cloud experience and help you build Cloud AI/ML skills.

Table of Contents

1 Welcome
2 Course Introduction
3 Project Costs Breakdown_Project Costs Breakdown1. Serverless Smart Inbox with Real-Time Sentiment Analysis 2. Intelligent FAQ Chatbot using Amazon Bedrock3. Predicting Customer Subscr…
4 Project Overview_Overview of Project Steps To Be Performed Services Used Estimated Time & Cost Architectural Diagram Final Result
5 Project Overview Overview of Project Steps To Be Performed Services Used Estimated Time & Cost Architectural Diagram Final Result _ Tech With Lucy 2026-01-06 02_08
6 Create S3 Inbox for Incoming Messages_Section Overview Step-by-Step Implementation Guide
7 Create SQS Queues for Message Routing_Section OverviewWhy Amazon SQS？ Step-by-Step Implementation Guide
8 Build the Lambda Function with Amazon Comprehend for Sentiment Analysis_Section Overview Step-by-Step Implementation Guide
9 Connect S3 Event to Lambda Trigger_Section OverviewUnderstanding S3 Event Triggers Step-by-Step Implementation Guide
10 Visualizing the Smart Inbox Results_ection Overview Step-by-Step Implementation Guide
11 Conclusion and Cleanup _ConclusionCleanup StepsBest Practice Notes
12 Project Overview_Overview of Project Steps To Be Performed Services Used Estimated Time & Cost Architectural Diagram Final Result
13 Project Overview Overview of Project Steps To Be Performed Services Used Estimated Time & Cost Architectural Diagram Final Result _ Tech With Lucy 2026-01-06 02_11
14 Environment Setup and Prerequisites
15 Understanding RAG_What is RAG？Why RAG MattersHow It Works in This ProjectKey Advantages
16 Create Knowledge Base in Bedrock
17 Query and Test the Knowledge Base
18 Launching the Web Application
19 Launching the Web Application _ Tech With Lucy 2026-01-06 02_17
20 Conclusion and Cleanup_ConclusionCleanup StepsBest Practice Notes
21 Project Overview_Overview of Project About the ProjectSteps To Be Performed Services Used Estimated Time & Cost Architectural Diagram Final Res…
22 Environment Setup and Permissions
23 Data Preparation_Summary
24 Model Training_Summary
25 Model Deployment_Summary
26 Testing & Validation
27 Conclusion and Cleanup_ConclusionCleanup StepsBest Practice NotesProject Complete
28 Project Overview_Overview of Project About the ProjectSteps To Be Performed Services Used Estimated Time & Cost Architectural Diagram Final Res…
29 Project Overview Overview of Project About the ProjectSteps To Be Performed Services Used Estimated Time & Cost Architectural Diagram Final Result _ Tech With Lucy 2026-01-06 22_56
30 Frontend Setup： Build the Upload Interface
31 Building the Emotion Detection Function using Hugging Face
32 Expose the Emotion Detector via API Gateway
33 Hosting the Frontend Testing
34 Hosting the Frontend Testing _ Tech With Lucy 2026-01-06 22_58
35 Conclusion and Cleanup_Conclusion
36 Project Overview_Steps To Be PerformedServices UsedEstimated Time & CostArchitectural DiagramFinal Result
37 Project Overview Steps To Be PerformedServices UsedEstimated Time & CostArchitectural DiagramFinal Result _ Tech With Lucy 2026-01-06 22_58
38 Environment Setup and Permissions
39 Creating the Lambda Function and API Gateway
40 Adding DynamoDB Integration
41 Deploying the Web App using AWS Amplify
42 Conclusion and Cleanup

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