Amazon Bedrock, Amazon Q & AWS Generative AI [HANDS-ON]
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Amazon Bedrock, Amazon Q & AWS Generative AI [HANDS-ON]
$19.99
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Amazon Bedrock, Amazon Q & AWS Generative AI [HANDS-ON]
★★★★★
$19.99
in stock
Udemy.com
as of December 22, 2024 10:53 am
Build 8+ Use Cases with Amazon Bedrock, Amazon Q, Agents, Knowledge Bases, Chatbot, LangChain. No AI or Coding exp req
Created by:
Rahul Trisal
AWS Community Builder||7X Certified||AWS SA Professional
AWS Community Builder||7X Certified||AWS SA Professional
Rating:4.65 (1795reviews)
12960students enrolled
What Will I Learn?
- Learn fundamentals about AI, Machine Learning and Artificial Neural Networks.
- Learn how Generative AI works and deep dive into Foundation Models.
- Amazon Bedrock – Detailed Console Walkthough, Bedrock Architecture, Pricing and Inference Parameters.
- Use Case 1: Media and Entertainment Industry: Generate Movie Poster Design using API Gateway, S3 and Stable Diffusion Foundation Model
- Use Case 2: Text Summarization for Manufacturing Industry using API Gateway, S3 and Cohere Foundation Model
- Use Case 3 - Build a Chatbot using Bedrock - Llama 2 Foundation Model, Langchain and Streamlit
- Use Case 4- Employee HR Q & A App with Retrieval Augmented Generation (RAG) - Bedrock - Claude Foundation Model + Langchain + FAISS + Streamlit
- Use Case 5 : Serverless e-Learning App using Bedrock Knowledge Base + Claude FM + AWS Lambda + API Gateway
- Use Case 6 : Build a Retail Banking Agent using Amazon Bedrock Agents & Knowledge Bases
- Use Case 7 : Amazon Q Business - Build a Marketing Manager App with Amazon Q
- Use Case 8 - Capabilities of Amazon Q Developer over SDLC - HandsON
- GenAI Project Lifecycle: Phase 1 - Use Case Selection - Discuss about various phases of GenAI and How to identify right use case
- GenAI Project Lifecycle: Phase 2 - Foundation Model Selection - Theory and Handson using AWS Bedrock Model Evaluation Service
- GenAI Project Lifecycle: Phase 3 - Prompt Engineering - Factors Impacting Prompt design - Claude, Amazon Titan, Stability Diffusion, Prompt design Techniques
- GenAI Project Lifecycle: Phase 4 - Fine Tuning of Foundation Models - Theory and Hands-On
- Python Basics Refresher
- AWS Lambda and API Gateway Refresher
Requirements
- There are no course pre-requisites for this course except basic AWS Knowledge. I will provide basic overview of AI/ML concepts and have included Python, AWS Lambda and API Gateway refresher at end of course in case you are not familiar with python coding or these AWS services.
- Only very very basic AWS knowledge such as what is S3, AWS Lambda etc.
Target audience
- The course is designed to help you switch careers and move into lucrative Generative AI and Amazon Bedrock roles.
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