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!

Read more about the course

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!

Watch Online

This is a demo lesson (10:00 remaining)

You can watch up to 10 minutes for free. Subscribe to unlock all 37 lessons in this course and access 10,000+ hours of premium content across all courses.

View Pricing

Watch Online Ultimate AWS Bedrock Guide: Build and Scale Generative AI Apps

0:00
/
#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

Unlock unlimited learning

Get instant access to all 36 lessons in this course, plus thousands of other premium courses. One subscription, unlimited knowledge.

Learn more about subscription

Comments

0 comments

Want to join the conversation?

Sign in to comment

Similar courses

AWS Certified Security - Specialty

AWS Certified Security - Specialty

Sources: Adrian Cantrill
Pass the AWS Security – Specialty exam (SCS-C01). EARLY ACCESS - NOT FINISHED. PRODUCTION COMMENCED IN APRIL 2022 - ETA 2-3 MONTHS.
39 hours 15 minutes 45 seconds
AWS & Typescript Masterclass - CDK V2, Serverless, React

AWS & Typescript Masterclass - CDK V2, Serverless, React

Sources: udemy
AWS and Typescript are 2 of the most demanded technologies in today's IT market. AWS Cloud Development Kit - CDK brings a great new development experience. Now
10 hours 48 minutes 18 seconds
Production-Ready Serverless

Production-Ready Serverless

Sources: Yan Cui
The Production-Ready Serverless course teaches how to build resilient and scalable serverless applications, ready for production deployment. It covers...
13 hours 37 minutes 6 seconds
AI Engineering: Customizing LLMs for Business (Fine-Tuning LLMs with QLoRA & AWS)

AI Engineering: Customizing LLMs for Business (Fine-Tuning LLMs with QLoRA & AWS)

Sources: zerotomastery.io
Master an in-demand skill that companies are looking for: the development and implementation of custom LLMs. In the course, you will learn how to fine-tune open
7 hours 12 minutes 10 seconds
AI Engineering Bootcamp: Build, Train & Deploy Models with AWS SageMaker

AI Engineering Bootcamp: Build, Train & Deploy Models with AWS SageMaker

Sources: zerotomastery.io
Learn to create full-cycle AI applications using AWS SageMaker: from collecting and preparing your own data to training and modifying models...
11 hours 59 minutes 21 seconds