Autoplay
Autocomplete
Previous Lesson
Complete and Continue
AWS Bootcamp: Build AI Apps with AWS Bedrock
Introduction
The AWS Bootcamp: Build AI Apps with AWS Bedrock (1:55)
Course Overview (8:44)
Exercise: Meet Your Classmates and Instructor
Course Projects Explained
Capstone Project 1: Building Multi Agentic Workflows (10:12)
Capstone Project 2: Building Interruptible Voice Agents (6:56)
Course Updates
Course Resources
Initial Setup
Setting Up our AWS Account (5:24)
Login to IAM User Account (4:24)
Getting Started with AWS Bedrock
Deep Dive Into Inference Configurations (25:28)
Introduction to Bedrock Foundation Models (12:55)
Inference Profiles, Model Catalog, Provisioned Throughput and More Theory (15:03)
Prompt Management, Optimization and More (17:59)
Exploring the Playground in AWS Bedrock (15:30)
Exploring Modal Providers, Modalities, API Invocation and Pricing (14:40)
Quotas, Model Comparison, Guardrails and More (25:43)
Image Generation in the Playground with Diffusion Models (2:45)
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)
Stability AI Update Lecture (1:42)
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)
Cleanup
Information About Next Video
A Little Cleanup and Congratulations! (3:16)
Building Multi-Agentic AI Workflow
Architecture Diagram of Our Multi Agentic Workflow (6:41)
LLM Model Access, API Rate Limits, Quotas, and AWS Regions (7:47)
Introduction to AWS Bedrock Agents (1:04)
Creating the Restaurant Agent (17:33)
Creating our AWS S3 Bucket To Store Our Data (4:04)
Uploading Restaurant Data to AWS S3 (0:48)
Creating an Action Group For Our Restaurant Agent (13:01)
Finishing Our Lambda Function for our Restaurant Agent (12:26)
Testing Our Restaurant Agent (14:38)
Setting Up the Accommodation Agent (8:45)
Uploading Our Hotel and Airbnb Data to AWS S3 (1:14)
Creating The Lambda Function Action Group For The Accommodation Agent (17:41)
Finishing Our Accommodation Agent (9:49)
Testing the Accommodation Agent (8:20)
Creating and Testing The Supervisor Agent (9:00)
Explaining Agent Collaborators (4:41)
Multi Agent UI Enhancement, Timing Agents (2:51)
Serverless Invocation of the Supervisor Agent using AWS Lambda (11:51)
Setting up AWS API Gateway to Deploy Our Worfklow Through the Internet (3:24)
Testing Our Endpoint Through The Internet with Postman (5:14)
Cleaning Up Resources (2:29)
Deploying Agents with AWS Bedrock AgentCore
What is AWS Bedrock Agent Core (10:51)
Bedrock Agent Core Course Resources
Accessing AgentCore via Sagemaker AI Setup (1:33)
Finishing SagemakerAI Setup (2:53)
AWS Bedrock Agent Core Architecture Diagram
Creating our Test Agent (14:51)
Testing Our Agent (5:20)
Configuring the AgentCore Runtime (9:09)
Deploying the Agent to AgentCore (8:36)
Tracing the Agent Logs in CloudWatch for Observability (15:46)
Don't forget to shutdown the SagemakerAI Server (0:33)
Session Management for Agents (7:51)
Understanding AgentCore Sessions (5:57)
Lifecycle Management for AgentCore Sessions (4:13)
Cost Calculations for AgentCore Runtime (3:08)
Understanding Costs
Adding Short and Long Term Memory To Bedrock Agents via Bedrock AgentCore
Understanding Short Term Memory (10:06)
Short Term Memory Imports (7:53)
Create the Resources for Short Term Memory (6:42)
Verify Agent Memory Creation in the UI (0:54)
Implementing Memory Hooks (11:07)
Creating the Duck Duck Go Web Search Agent (1:24)
Testing our Short Term Memory Agent (12:18)
Understanding the Pricing of Short Term Memory (1:36)
Introduction to Long Term Memory (2:35)
Long Term Memory Strategies: Semantic, Preferences and Summaries (5:51)
Inspecting Short Term Memory (6:37)
Inspecting Long Term Memory (6:49)
Testing our Agent with a Combined Short and Long Term Memory (11:59)
Long Term Memory Pricing (1:29)
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)
Building Low-Latency, Interruptible Voice Agents with AWS
Setting Up AWS Access Keys (8:35)
Setting Up Files (2:31)
Understanding Speech-to-Speech Models (2:46)
Understanding Bidirectional Streaming (6:03)
Creating Audio Configurations (3:24)
Setting Up Debugging Functions (4:24)
Non-Blocking Asyncio Python (5:11)
Eventloop and Multithreads in Python (9:27)
Getting Guests, Dynamodb Call (2:48)
Getting Reservations, Dynamodb Call (7:28)
Updating Reservations, Dynamodb Call (9:42)
Event Templates Part 1 (7:30)
Event Templates Part 2 (8:25)
Exploring Tools Our Model Has Access To (6:26)
Tool Result Event (1:37)
Initialising the Bedrock Stream Manager Class (6:14)
Initialising the Bedrock Stream (6:23)
Sending Raw Events to Bedrock (2:28)
Processing Audio Input (3:03)
Sending Events to the Bedrock Stream (7:28)
Processing Incoming Responses From Bedrock (7:10)
Handling Tool Requests + Completions (3:51)
Executing Tools + Gracious Closing and Shutting Down (2:50)
Separate Input and Output Streams (4:14)
Finishing the Audio Streamer Class (8:39)
Ending the Stream Clarification (0:55)
Finishing Up Our Final Script (3:06)
AWS Quotas and Credentials (1:59)
Installing Necessary Libraries (3:26)
Setting up DynamoDB (5:01)
First Test of Our Agent (4:46)
Testing Reservation Updates (3:06)
Testing with the Debug Flag (2:19)
Testing the Final Product (7:03)
Cleaning Up (2:10)
Congratulations! (0:49)
Where To Go From Here?
Thank You! (1:17)
Review This Course!
Become An Alumni
Learning Guideline
ZTM Events Every Month
LinkedIn Endorsements
Inference Profiles, Model Catalog, Provisioned Throughput and More Theory
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