Learn how to build, deploy, and create an API for a Machine Learning model using AWS Cloud services. This comprehensive two-part course covers:
Part 1 (Link below):
► Fine-tuning and deploying a model with Amazon SageMaker: • How to Build A Complete ML Architectu...
Part 2 (Current Video)
This is what you will learn in this second part:
► Creating an API for SageMaker Endpoint interaction
► Utilizing AWS Lambda and API Gateway
► Deploying the API
This course empowers you with practical skills in:
► Amazon SageMaker
► AWS Lambda
►Amazon API Gateway
CHAPTERS
0:00 - Introduction and Goal
01:04 - Who am I?
01:23 - How to create, implement, and configure the Lambda function
06:43 - How to set Up IAM Role Lambda - SageMaker Connection
08:47 - How to test the Lambda function
10:38 - How to create, configure, and test API Gateway in AWS
15:49 - How to deploy API for external Users with API Gateway in AWS
19:36 - How to clean up an AWS SageMaker endpoint
19:54 - Conclusion and Thank You
Source code:https://github.com/keitazoumana/AWS-S...
►LLM Projects:
How to Build Anything With AI Agents - With Code: • How to Build Anything With AI Agents ...
PDF to JSON: LLM-Powered Data Extraction In Python: • PDF to JSON: LLM-Powered Data Extract...
Multimodal RAG: Text, Images, Tables & Audio Pipeline: • Multimodal RAG: Text, Images, Tables ...
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►Email me: [email protected]
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