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دسته بندی دوره ها

AWS Amazon Bedrock & Generative AI – Beginner to Advanced

سرفصل های دوره

Build Chatbot, Image Generation, RAG, Text Summarize Apps using Bedrock and Langchain. No prior AI/ML/Coding exp. req.


1 - Introduction
  • 1 - Course Introduction
  • 2 - Amazon-Bedrock-and-AWS-Generative-AI-Beginner-to-Advanced-v1.3-16022024.pdf
  • 2 - Amazon-Bedrock-and-AWS-Generative-AI-Beginner-to-Advanced-v1.4-13032024.pdf
  • 2 - Must Watch Tips to Optimize Learning Download Course Content Slides

  • 2 - Optional Section Basics of AI ML Neural Networks Overview for Beginners
  • 3 - Section Overview Evolution of Generative AI
  • 4 - What is Artificial Intelligence
  • 5 - Machine Learning Overview Supervised Unsupervised and Reinforced Learning
  • 6 - Deep Learning and Neural Networks Overview

  • 3 - Generative AI Foundation Models Concepts
  • 7 - Section Overview Generative AI Foundation Models Concepts
  • 8 - What is Generative AI and Use Cases
  • 9 - How Generative AI works 1 Prompt Completion and Infererences
  • 10 - How Generative AI works Basic Concepts and Terminology 2
  • 11 - Service Offerings in Generative AI from AWS

  • 4 - Amazon Bedrock Deep Dive
  • 12 - Section Overview Amazon Bedrock
  • 13 - Amazon Bedrock Introduction
  • 14 - Bedrock Console Walkthrough 1
  • 15 - Bedrock Console Walkthrough 2
  • 16 - Amazon Bedrock Architecture
  • 17 - Amazon Bedrock Infererence Parameters Temperature
  • 18 - Amazon Bedrock Infererence Parameters 2
  • 19 - Bedrock Pricing

  • 5 - Enterprise Use Case 1 HandsOn Media and Entertainment Industry
  • 20 - Section Introduction Use Case for Media and Entertainment Industry
  • 21 - Use Case Description Media and Entertainment Industry
  • 22 - Use Case Architecture Amazon Bedrock Stability AI Lambda and S3
  • 23 - Boto3-Upgrade-Commands.pdf
  • 23 - Use Case PreRequisites Model Access and Lambda Boto3 Version Upgrade
  • 24 - Creation of S3 Bucket and Lambda Function
  • 25 - AWS Lambda and Bedrock Integration 1
  • 25 - pythoncode-lambda-movieposterdesignfunction.zip
  • 26 - AWS Lambda and Bedrock Integration 2
  • 27 - Storing the Image generated by Bedrock in S3 Bucket
  • 28 - Generating a Pre Signed URL for Image in S3 Bucket
  • 29 - AWS API Gateway and Lambda Integration
  • 30 - End to End Demo

  • 6 - Enterprise Use Case 2 HandsOn Text Summarization Bedrock API GW Lambda
  • 31 - Section Introduction Use Case 2 Text Summarization
  • 32 - Text Summarization Use Case Description and Architecture
  • 33 - Creation of AWS Lambda function and Boto3 upgrade
  • 34 - Writing the AWS Lambda function to connect to Bedrock Service 1
  • 34 - pythoncode-lambda-demomanufacturing.zip
  • 35 - Writing the AWS Lambda function to connect to Bedrock Service 2
  • 35 - pythoncode-lambda-demomanufacturing.zip
  • 36 - Create REST API using AWS API Gateway and Lambda Integration
  • 37 - End to End Demo

  • 7 - Use Case 3 HandsOn Building a Chatbot with Llama 2 Langchain and Streamlit
  • 38 - Chatbot Demo of what we will Build and Architecture
  • 39 - Chatbot Environment Setup before coding
  • 40 - Chatbot Backend 1
  • 40 - Chatbot-code.zip
  • 41 - Chatbot Backend 2
  • 42 - Chatbot Frontend
  • 43 - Chatbot End to End Demo

  • 8 - Use Case 4 HandsOn Building HR Q A with Retrieval Augmented Generation
  • 44 - HR Q A with RAG Demo of what we will Build
  • 45 - Optional Lecture Overview of Vectors Embedding Vector DB and Search
  • 46 - HR Q A with RAG Architecture for the Use Case
  • 47 - RAG Environment Setup before coding
  • 47 - RAG-Install.pdf
  • 48 - HR QA with RAG HandsOn Data Load Part 1
  • 48 - data-load-test.zip
  • 48 - rag-backend.zip
  • 49 - HR QA with RAG HandsOn Data Transform Part 2
  • 49 - data-split-test.zip
  • 49 - rag-backend.zip
  • 50 - HR QA with RAG HandsOn Embedding Vector Store Index Part 3
  • 50 - rag-backend.zip
  • 51 - HR QA with RAG HandsOn LLM Creation Context Part 4
  • 51 - rag-backend.zip
  • 52 - HR QA with RAG HandsOn Frontend and Final Demo
  • 52 - rag-frontend.zip
  • 53 - HR QA with RAG End to End Demo

  • 9 - Use Case 5 Serverless ELearning App with Knowledge Base Lambda and API GW
  • 54 - Demo of what we will Build Amazon Bedrock Knowledge Base Lambda API Gateway
  • 55 - What is Bedrock Knowledge Base Concept and Architecture
  • 56 - Creation of Amazon Bedrock Knowledge Base
  • 57 - Retrieve API and RetrieveAndGenerate API for data retrieval Concept
  • 58 - Knowledge Base and AWS Lambda Creation Part 1
  • 59 - Knowledge Base and AWS Lambda Creation Boto3 upgrade Part 2
  • 60 - Knowledge Base and AWS Lambda Creation Part 3
  • 61 - Knowledge Base REST API creation and Lambda Integration
  • 62 - Knowledge Base Clean up To avoid charges

  • 10 - Phase 1 of GenAI Project Use Case Identification
  • 63 - Section Overview GenAI Project Lifecycle and Use Case Identification
  • 64 - Overview of GenAI Project Lifecycle
  • 65 - GenAI Use Case Identification Approach

  • 11 - Phase 2 of GenAI Project Foundation Model Selection
  • 66 - Section Overview Foundation Model Selection for your Use Case
  • 67 - Foundation Model Selection Criteria Theory Part 1
  • 68 - Foundation Model Selection Criteria Theory Part 2
  • 69 - Foundation Model Selection Criteria HandsOn

  • 12 - Phase 3 of GenAI Project Prompt Engineering
  • 70 - Section Overview Prompt Engineering
  • 71 - Prompt Engineering 1
  • 72 - Prompt Engineering 2
  • 73 - Prompt Engineering Techinques
  • 74 - Steps to engineer a good prompt

  • 13 - Phase 3 of GenAI Project Fine Tuning of Foundation Model
  • 75 - Section Overview Fine Tuning of Foundation Model
  • 76 - Fine Tuning of Foundation Model Overview
  • 77 - Fine Tuning of Foundation Model Architecture
  • 78 - Amazon Bedrock Data Privacy Challenges
  • 79 - Fine Tuning of Foundation Models Hands On
  • 79 - manufacturingusecase-finetuningdata.zip

  • 14 - Use Case 6Code Generation with AWS CodeWhisperer From my AWS CDK Udemy Course
  • 80 - Amazon CodeWhisperer Introduction
  • 81 - Amazon CodeWhisperer Installation
  • 82 - Amazon CodeWhisperer Create S3 bucket
  • 83 - Amazon CodeWhisperer Create VPC and RDS

  • 15 - Python Basics Refresher
  • 84 - Basic Python Programming Refresher Part 1
  • 84 - python-refresher.zip
  • 85 - Basic Python Programming Refresher Par 2

  • 16 - AWS Lambda Function Refresher
  • 86 - AWS Lambda Overview
  • 87 - AWS Lambda Invocation
  • 88 - Boto3 Introduction

  • 17 - AWS API Gateway Refresher
  • 89 - AWS API Gateway Refresher
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    تاریخ انتشار: ۲۵ اردیبهشت ۱۴۰۳
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