Amazon Bedrock – The Complete Guide to AWS Generative AI

سرفصل های دوره

Learn to Deploy Scalable, Reliable, and Secure Generative AI Apps Using AWS and Amazon Bedrock (Python and TypeScript)

1 - Course Introduction

1 - How to take this course

2 - Udemy tips

3 - Tools setup

2 - Introduction to Amazon Bedrock

4 - Section intro

5 - What is Amazon Bedrock

6 - Bedrock console overview

7 - AWS configure CLI access

8 - Bedrock API Boto3 Python

8 - Code changes in this lecture.txt

9 - Bedrock API JS SDK TypeScript

9 - Code changes in this lecture.txt

10 - Code changes in this lecture.txt

10 - Optional VSCode debug

3 - Working with text models

11 - Section intro

12 - Amazon Bedrock text models intro

13 - Understanding tokens

14 - Text models parameters

15 - Bedrock text models Python

15 - Code changes in this lecture.txt

16 - Bedrock text models TypeScript

16 - Code changes in this lecture.txt

17 - Code changes in this lecture.txt

17 - Prompt engineering

17 - Prompt engineering docs.txt

18 - Code changes in this lecture.txt

18 - Project ChatBot

19 - ChatBot with History Python

19 - Code changes in this lecture.txt

20 - ChatBot with History TypeScript

20 - Code changes in this lecture.txt

4 - Amazon Bedrock Image models

21 - Section intro

22 - Image models intro

23 - Stability AI parameters

23 - Stability AI params.txt

24 - Code changes in this lecture.txt

24 - Stability AI images Python and TypeScript

25 - Code changes in this lecture.txt

25 - Titan model image generation

26 - Code changes in this lecture.txt

26 - Titan model image editing

5 - Amazon Bedrock embedding models

27 - Section intro

28 - Code changes in this lecture.txt

28 - Embeddings and Similarity

29 - Code changes in this lecture.txt

29 - Embedding models Python and TypeScript

30 - Code changes in this lecture.txt

30 - Text embeddings Python

31 - Code changes in this lecture.txt

31 - Text embeddings TypeScript

32 - Code changes in this lecture.txt

32 - Image embeddings Python

33 - Code changes in this lecture.txt

33 - Image embeddings TypeScript

34 - Vector databases

6 - Halfway discussion

35 - Section intro

7 - Project RAG app local

36 - Section intro

36 - langchain-py.zip

36 - langchain-ts.zip

37 - Langchain intro

38 - Code changes in this lecture.txt

38 - First Chain Python

39 - Code changes in this lecture.txt

39 - First Chain TypeScript

40 - What is a RAG app

41 - Basic RAG app Python

41 - Code changes in this lecture.txt

42 - Basic RAG app TypeScript

42 - Code changes in this lecture.txt

43 - Code changes in this lecture.txt

43 - Document app Python

44 - Code changes in this lecture.txt

44 - Document app TypeScript

8 - Practice Text API

45 - Section intro

46 - Project architecture

47 - Code changes in this lecture.txt

47 - Summary Lambda Python

48 - Code changes in this lecture.txt

48 - Summary Lambda test Python

49 - Code changes in this lecture.txt

49 - Summary Lambda TypeScript

50 - Code changes in this lecture.txt

50 - Summary Lambda test TypeScript

51 - ApiGateway and Lambda integration

51 - Code changes in this lecture.txt

52 - Code changes in this lecture.txt

52 - IAC Summary api CDK Python

53 - Code changes in this lecture.txt

53 - IAC Summary api CDK TypeScript

9 - Practice Image API

54 - Section intro

55 - Project architecture

56 - Code changes in this lecture.txt

56 - Image Lambda Python

57 - Code changes in this lecture.txt

57 - Lambda Test Python

58 - Code changes in this lecture.txt

58 - Image Lambda TypeScript

59 - Code changes in this lecture.txt

59 - Lambda Test TypeScript

60 - ApiGateway and Lambda integration

60 - Code changes in this lecture.txt

61 - Code changes in this lecture.txt

61 - IAC Image api CDK Python

62 - Code changes in this lecture.txt

62 - IAC Image api CDK TS

10 - Practice Bedrock knowledge bases

63 - Section intro

64 - What is Bedrock knowledge base

65 - Bedrock Knowledge base model access

66 - New console account creation

67 - Creating a knowledge base

68 - Code changes in this lecture.txt

68 - RAG Lambda Python

69 - Code changes in this lecture.txt

69 - RAG Lambda TypeScript

70 - Code changes in this lecture.txt

70 - RAG Lambda AWS test

71 - Code changes in this lecture.txt

71 - RAG ApiGateway integration

72 - Resorces deletion

11 - Custom Amazon Bedrock models

73 - Section intro

74 - Fine tuning

75 - Custom models Amazon Bedrock console

12 - Ending section

76 - Thank you

13 - Optional AWS Recap

77 - Section intro

78 - AWS IAM presentation

79 - AWS Lambda presentation

80 - AWS API Gateway presentation

14 - Optional Infrastructure as code

81 - Section intro

82 - AWS CloudFormation

82 - Code changes in this lecture.txt

83 - AWS CDK install

84 - AWS CDK with Python

84 - Code changes in this lecture.txt

85 - AWS CDK with TypeScript

85 - Code changes in this lecture.txt

86 - Cleanup

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تولید کننده: Udemy