Building LLM Apps with AWS Bedrock
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Building LLM Apps with AWS Bedrock

  • Learn how to build and deploy powerful LLM (Large Language Model) applications using AWS
    Bedrock’s fully managed GenAI services.
  • Master the end-to-end workflow of GenAI app development—from prototype to production—on AWS.
  • Get hands-on with selecting foundation models, crafting prompts, and integrating LLMs into real-world
    applications.

Created by Selva Prabhakaran

  • Actively updating

  • English

  • English captions

What you will learn

01

Introduction to AWS Bedrock and GenAI Concepts

02

Choosing the Right Foundation Models

03

Prompt Engineering with Bedrock

04

Building and Deploying LLM Applications

05

Enhancing LLMs with Memory and Retrieval

06

Scaling and Securing GenAI Apps on AWS

Course Curriculum

Requirements

  • Courses Page1 Basics of Python
  • Courses Page1 Foundational knowledge of Data Science
  • Courses Page1 High school maths

Who should attend this course?

  • Data Science Aspirants

  • Data Science Professionals

  • Software/Data engineers interested in quantitative analysis

  • Professionals working with large datasets

  • Data analysts, economists, researchers

Instructor

Selva Prabhakaran Principal Data Scientist

My name is Selva, and I am super excited to mentor you on this project!

I head the Data Science team for a global Fortune 500 company and over the last 10 years of my data science experience I’ve deployed 20+ global products. I’m also the Founder & Chief Author of Machine Learning Plus, which has over 4M annual readers.

I specialize in covering the in-depth intuition and maths of any concept or algorithm. And based on my existing student requests, I’ve put up the series of courses and projects with detailed explanations – just like an on the job experience. Hope you love it!

  • 4.5+Instructor rating

  • 200+ reviews

  • 75K+students

  • 50+ Courses

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