Autoplay
Autocomplete
Previous Lesson
Complete and Continue
Ultimate AWS Bedrock Guide: Build & Scale Generative AI Apps
Introduction
Introduction (1:00)
What We're Building (4:43)
FAQ
Exercise: Meet Your Classmates and Instructor
Course Resources
Initial Setup
Setting Up our AWS Account (5:24)
Login to IAM User Account (4:24)
Getting Started with AWS Bedrock
What is AWS Bedrock? (9:05)
Introduction to Foundational Models (4:32)
Foundational Model Providers (11:02)
Bedrock Playground and Pricing (14:02)
Inspecting Model Inference Configurations for LLMs and Image Generation Models (10:35)
Training Foundation Models with your Custom Data (7:33)
Code Generation Project
Setting Up the Code Generation Project (1:05)
Coding our Lambda Function and Integrating with AWS Bedrock (17:51)
Setting up API Gateway and our Serverless Stack (5:34)
Testing our Live Endpoint (5:57)
Creating our Boto3 Lambda Layer (2:23)
Attaching our Lambda Layer to our Function (2:24)
Testing our Bedrock Model (6:28)
Verifying Final Output of Bedrock (2:24)
Meeting Notes Summarisation Project with Bedrock
Setting up our Lambda Function with Bedrock for Content Summarization (8:43)
Finishing our Lambda Function for Meeting Summarisation (14:10)
Creating new API Gateway Endpoint for this Lambda Function (2:15)
Invoking our Serverless Meeting Notes Summarisation Endpoint (6:30)
Analyzing the Final Results (1:39)
Using Diffusion Models with Bedrock for Image Creation
Project Introduction (10:57)
Setting up API Gateway Route (Serverless) for New Generative AI Model Invocation (1:06)
Invoking our Stable Diffusion model for Image Generation (3:48)
Analysing our Final Output (0:46)
Evaluating Large Language Model Performance with AWS Bedrock Evaluator
Set up Evaluation Job for Anthropic's Claude model (4:37)
Possible CORS Error
Evaluating our Results (5:25)
Retrieval Augmented Generation (RAG) with AWS Bedrock
Introduction to AWS Bedrock Knowledge Base (2:57)
Retrieval Augmented Retrieval (RAG) Overview (6:40)
Setting Up Our Own Knowledge Base - Part 1 (8:08)
Setting Up Our Own Knowledge Base - Part 2 (0:50)
Testing our Bedrock Knowledge Base with Antropic's Claude Model (7:20)
Clean Up Resources (1:10)
API Resources (0:42)
2026 Updates: Reinforcement Fine Tuning, BDA, Prompt Router, Batch Mode + more
Prompt Management with AWS Bedrock (14:39)
Watermark Detection, Was this image Created with AI? (1:52)
Detail About Upcoming Video
Reinforcement Fine Tuning with AWS Bedrock (18:24)
Data Automation, Intelligent Document, Video, Image, and Audio Processing Part 1 (14:01)
Data Automation, Intelligent Document, Video, Image, and Audio Processing Part 2 (6:07)
Data Automation, Intelligent Document, Video, Image, and Audio Processing Part 3 (5:45)
Intelligent Prompt Routing with AWS Bedrock (10:38)
Using LLMs in Batch Inference Mode in AWS Bedrock (12:26)
Cleanup
A Little Cleanup and Congratulations! (3:16)
Where To Go From Here?
Review This Byte!
Data Automation, Intelligent Document, Video, Image, and Audio Processing Part 3
This lecture is available exclusively for ZTM Academy members.
If you're already a member,
you'll need to login
.
Join ZTM To Unlock All Lectures