Ultimate AWS Bedrock Guide: Build and Scale Generative AI Apps

3h 28m 1s
English
Paid

Course description

Learn the cutting-edge world of AWS Bedrock and gain skills to create AI apps. You'll build and deploy three AI projects using foundation models from Meta, Anthropic, Cohere, Mistral and more, all from a single API!

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This course is made for anyone eager to take dive deep into building AI-driven applications using the latest technologies. By the end of this course you'll have a comprehensive understanding of AWS Bedrock and Generative AI, including Retrieval Augmented Generation (RAG), fine-tuning, vector databases, word embeddings, serverless architecture, training and evaluation of LLMs with your own custom data, and more!

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#1: Introduction

All Course Lessons (37)

#Lesson TitleDurationAccess
1
Introduction Demo
01:01
2
What We're Building
04:44
3
Setting Up our AWS Account
05:25
4
Login to IAM User Account
04:24
5
What is AWS Bedrock?
09:06
6
Introduction to Foundational Models
04:33
7
Foundational Model Providers
11:03
8
Bedrock Playground and Pricing
14:03
9
Inspecting Model Inference Configurations for LLMs and Image Generation Models
10:36
10
Training Foundation Models with your Custom Data
07:34
11
Setting Up the Code Generation Project
01:06
12
Coding our Lambda Function and Integrating with AWS Bedrock
17:52
13
Setting up API Gateway and our Serverless Stack
05:35
14
Testing our Live Endpoint
05:58
15
Creating our Boto3 Lambda Layer
02:24
16
Attaching our Lambda Layer to our Function
02:25
17
Testing our Bedrock Model
06:29
18
Verifying Final Output of Bedrock
02:25
19
Setting up our Lambda Function with Bedrock for Content Summarization
08:44
20
Finishing our Lambda Function for Meeting Summarisation
14:11
21
Creating new API Gateway Endpoint for this Lambda Function
02:16
22
Invoking our Serverless Meeting Notes Summarisation Endpoint
06:31
23
Analyzing the Final Results
01:40
24
Project Introduction
10:58
25
Setting up API Gateway Route (Serverless) for New Generative AI Model Invocation
01:07
26
Invoking our Stable Diffusion model for Image Generation
03:49
27
Analysing our Final Output
00:47
28
Set up Evaluation Job for Anthropic's Claude model
04:38
29
Evaluating our Results
05:26
30
Introduction to AWS Bedrock Knowledge Base
02:58
31
Retrieval Augmented Retrieval (RAG) Overview
06:41
32
Setting Up Our Own Knowledge Base - Part 1
08:09
33
Setting Up Our Own Knowledge Base - Part 2
00:51
34
Testing our Bedrock Knowledge Base with Antropic's Claude Model
07:21
35
Clean Up Resources
01:11
36
API Resources
00:43
37
A Little Cleanup and Congratulations!
03:17

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