Integration and Deployment of GenAI Models
Deploy machine learning and generative AI models using AWS SageMaker, Bedrock, and Anthropic Claude.
1
students
8 hours
content
May 2025
last update
$44.99
regular price
What you will learn
How to set up and navigate the AWS Management Console for machine learning projects.
How to build, train, and deploy ML models using Amazon SageMaker Studio and SageMaker Canvas (no-code and low-code environments).
How to optimize machine learning deployment using SageMaker's Hardwire-Optimized Deployment strategies.
How to use SageMaker JumpStart to quickly launch pre-built ML solutions.
How to interact with SageMaker services programmatically using the Python SDK.
How to use Amazon Bedrock for fully managed, serverless hosting of foundation models (FMs).
How to build generative AI applications (text and image generation) using Bedrock.
How to compare SageMaker and Bedrock for different machine learning and generative AI use cases.
How to implement Retrieval-Augmented Generation (RAG) and fine-tune large language models using Bedrock.
How to work with Anthropic Claude models through the cloud and APIs for text generation, role-based assistance, and multimodal tasks (including image recognitio
How to set up and use the Anthropic API to deploy intelligent AI-powered applications.
Course Gallery
6588815
udemy ID
28/04/2025
course created date
08/05/2025
course indexed date
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